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  • 1.
    An, Lin
    et al.
    E China Univ Sci & Technol, Peoples R China.
    Yu, Xinhai
    E China Univ Sci & Technol, Peoples R China.
    Yang, Jie
    Univ Shanghai Sci & Technol, Shanghai, Peoples R China.
    Tu, Shan-Tung
    E China Univ Sci & Technol, Peoples R China.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center. Royal Inst Technol, Stockholm, Sweden.
    CO2 capture using a superhydrophobic ceramic membrane contactor2015In: Energy Procedia, ISSN 1876-6102, Vol. 75, p. 2287-2292Article in journal (Refereed)
    Abstract [en]

    Wetting and fouling of membrane contactor result in performance deterioration of membrane gas absorption system for CO2 post-combustion capture of coal-fired power plants. To solve these problems, in this study, a superhydrophobic ceramic (SC) membrane contactor was fabricated by chemically modification using 1H, 1H, 2H, 2H-perfluorooctylethoxysilane (FAS) solution. The membrane contactor fabrication costs for both SC membrane and PP (polypropylene) membrane contactors per unit mass absorbed CO2 were roughly the same. However, by using the SC membrane, the detrimental effects of wetting can be alleviated by periodic drying to ensure a high CO2 removal efficiency (>90%), whereas the drying does not work for the PP membrane. The SC membrane contactor exhibited a better anti-fouling ability than the PP membrane contactor because the superhydrophobic surface featured a self-cleaning function. To ensure continuous CO2 removal with high efficiency, a method that two SC membrane contactors alternatively operate combined with periodic drying was proposed.

  • 2.
    Bai, Fan
    et al.
    Xi An Jiao Tong Univ, Key Lab Thermofluid Sci & Engn MOE, Xian 710049, Shaanxi, Peoples R China..
    Lei, Le
    Xi An Jiao Tong Univ, Key Lab Thermofluid Sci & Engn MOE, Xian, Shaanxi, Peoples R China..
    Zhang, Zhuo
    Xi An Jiao Tong Univ, Key Lab Thermofluid Sci & Engn MOE, Xian, Shaanxi, Peoples R China..
    Li, Hailong
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Chen, Li
    Xi An Jiao Tong Univ, Key Lab Thermofluid Sci & Engn MOE, Xian, Shaanxi, Peoples R China..
    Dai, Yan-Jun
    Xi An Jiao Tong Univ, Key Lab Thermofluid Sci & Engn MOE, Xian, Shaanxi, Peoples R China..
    Chen, Lei
    Xi An Jiao Tong Univ, Key Lab Thermofluid Sci & Engn MOE, Xian, Shaanxi, Peoples R China..
    Tao, Wen-Quan
    Xi An Jiao Tong Univ, Key Lab Thermofluid Sci & Engn MOE, Xian, Shaanxi, Peoples R China..
    Application of similarity theory in modeling the output characteristics of proton exchange membrane fuel cell2021In: International journal of hydrogen energy, ISSN 0360-3199, E-ISSN 1879-3487, Vol. 46, no 74, p. 36940-36953Article in journal (Refereed)
    Abstract [en]

    Proton Exchange Membrane Fuel Cell (PEMFC) has attracted widespread interest. In the present work, similarity analysis is adopted for a three-dimensional single-phase isothermal model of PEMFC to derive similarity criteria. Seven kinds of input criteria (Pi(1) similar to Pi(7)) are obtained, relevant to the fluid flow, pressure drop, flow resistance in a porous medium, activity loss, diffusion mass transfer, convective mass transfer and ohmic loss in PEMFC respectively. Dimensionless voltage and dimensionless current density are defined as two output criteria. Numerical verifications show that if the seven criteria keep their individual values with their components vary in a wide range, the dimensionless polarization curves keep the same with a deviation about 1%, showing the validity and feasibility of the present analysis. From the effect on the dimensionless polarization curve, sensibility analysis shows that the seven criteria can be divided into three categories: strong (Pi(4) and Pi(7), -94.9% similar to +349.2%), mild to minor (Pi(5) and Pi(6), -4.5% similar to +5.0%), and negligible (Pi(1), Pi(2) and Pi(3), -1.2% similar to +1.1%). The similarity analysis approach can greatly save computation time in modeling the output characteristics of PEMFC. (C) 2021 Published by Elsevier Ltd on behalf of Hydrogen Energy Publications LLC.

  • 3.
    Bai, Q.
    et al.
    School of Human Settlements and Civil Engineering, Xi'An Jiaotong University, Xi'an, China.
    Guo, Z.
    School of Human Settlements and Civil Engineering, Xi'An Jiaotong University, Xi'an, China.
    Li, Hailong
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Yang, Xiaohu
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Jin, L.
    School of Human Settlements and Civil Engineering, Xi'An Jiaotong University, Xi'an, China.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center. Royal Institute of Technology (KTH), Stockholm, Sweden.
    Experimental investigation on the solidification behavior of phase change materials in open-cell metal foams2017In: Energy Procedia, ISSN 1876-6102, Vol. 142, p. 3703-3708Article in journal (Refereed)
    Abstract [en]

    This study presented an experimental investigation on solidification behavior of fluid saturated in highly porous open-cell copper foams. Particular attention has been made on the effect of pore parameters (pore density and porosity) on the solidification behavior. A purposely-designed apparatus was built for experimental observations. Results showed that the copper foam had a great effect on solidification and the full solidification time can be saved up to 50%, especially preventing the decrease in solidification rate during the later stage of phase change. The smaller the porosity is, the faster the solidification rate will be. Pore density was found to have little influence upon the solidification rate. In addition, the local natural convection does exist but it has a slight effect on solidification, leading to the slant of the solid-liquid interface. 

  • 4.
    Bao, Minglei
    et al.
    Zhejiang Univ, Coll Elect Engn, Hangzhou 310058, Peoples R China..
    Ding, Yi
    Zhejiang Univ, Coll Elect Engn, Hangzhou 310058, Peoples R China..
    Sang, Maosheng
    Zhejiang Univ, Coll Elect Engn, Hangzhou 310058, Peoples R China..
    Li, Daqing
    Beihang Univ, Sch Reliabil & Syst Engn, Beijing 100191, Peoples R China..
    Shao, Changzheng
    Zhejiang Univ, Coll Elect Engn, Hangzhou 310058, Peoples R China..
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center. Royal Inst Technol, Sch Chem Sci & Engn, Stockholm, Sweden..
    Modeling and evaluating nodal resilience of multi-energy systems under windstorms2020In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 270, article id UNSP 115136Article in journal (Refereed)
    Abstract [en]

    With the growing frequency and extent of extreme weather events, the resilient operation of multi-energy systems (MESs) has drawn attention nowadays. However, there is little study on the methodology with a set of key indicators to quantify the resilience of MESs with the consideration of the impacts of extreme weather. To address the problem, this paper proposes a framework to evaluate the time-dependent resilience of MESs considering energy interactions during extreme weather events, such as windstorms. Firstly, the multi-phase performance curve is utilized to describe the response behavior of MESs at different phases under the impacts of windstorms. Secondly, a service-based optimal energy flow model is developed to minimize the consequences caused by windstorms through the coordination among different energy subsystems. In order to model the chaotic failures and restoration of components, the Monte-Carlo simulation technique is applied. Furthermore, nodal resilience metrics for different energy carriers are proposed to quantify the resilience in MESs. Numerical studies demonstrate the capability of the proposed technique to quantify the resilience of MESs under windstorms. The results show that the resilience performance level of MESs can differ in different regions with the impacts of windstorms. The findings can provide a useful reference for system operators to constitute targeted resilience improvement measures.

  • 5.
    Birgersson, K. E.
    et al.
    Natl Univ Singapore, Dept Chem & Biomol Engn, Singapore 117576, Singapore..
    Balaya, P.
    Natl Univ Singapore, Dept Mech Engn, Singapore 117576, Singapore..
    Chou, S. K.
    Natl Univ Singapore, Dept Mech Engn, Singapore 117576, Singapore..
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Energy Solutions for a Sustainable World2012In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 90, no 1, p. 1-2Article in journal (Other academic)
  • 6.
    Budt, M.
    et al.
    Fraunhofer Institute for Environmental Safety, Germany.
    Wolf, D.
    Heliocentris Industry GmbH, Germany.
    Span, R.
    Ruhr-Universität Bochum, Germany.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    A review on compressed air energy storage: Basic principles, past milestones and recent developments2016In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 170, p. 250-268Article in journal (Refereed)
    Abstract [en]

    Over the past decades a variety of different approaches to realize Compressed Air Energy Storage (CAES) have been undertaken. This article gives an overview of present and past approaches by classifying and comparing CAES processes. This classification and comparison is substantiated by a broad historical background on how CAES has evolved over time from its very beginning until its most recent advancements. A broad review on the variety of CAES concepts and compressed air storage (CAS) options is given, evaluating their individual strengths and weaknesses. The concept of exergy is applied to CAES in order to enhance the fundamental understanding of CAES. Furthermore, the importance of accurate fluid property data for the calculation and design of CAES processes is discussed. In a final outlook upcoming R&D challenges are addressed. 

  • 7.
    Budt, M.
    et al.
    Fraunhofer Institute for Environmental, Safety, and Energy Technology UMSICHT, Germany.
    Wolf, D.
    Heliocentris Industry GmbH, R and D Clean Energy Solutions, Germany.
    Span, R.
    Thermodynamics, Ruhr-University Bochum, Germany.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Compressed air energy storage - An option for medium to large scale electricalenergy storage2016In: Energy Procedia, ISSN 1876-6102, Vol. 88, p. 698-702Article in journal (Refereed)
    Abstract [en]

    This contribution presents the theoretical background of compressed air energy storage, examples for large scale application of this technology, chances and obstacles for its future development, and areas of research aiming at the development of commercially viable plants in the medium to large scale range.

  • 8.
    Bundschuh, Jochen
    et al.
    Univ So Queensland, Toowoomba, Qld 4350, Australia; Royal Inst Technol KTH, Stockholm, Sweden.
    Chen, Guangnan
    Univ So Queensland, Toowoomba, Qld 4350, Australia.
    Yusaf, Talal
    Univ So Queensland, Toowoomba, Qld 4350, Australia.
    Chen, Shulin
    Washington State Univ, Pullman, WA 99164 USA.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering. Mälardalen University, School of Business, Society and Engineering, Future Energy Center. Royal Inst Technol KTH, Stockholm, Sweden.
    Sustainable energy and climate protection solutions in agriculture2014In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 114, p. 735-736Article in journal (Refereed)
  • 9.
    Cabeza, Luisa F.
    et al.
    GREA Innovació Concurrent, Universitat de Lleida, Edifici CREA, Pere de Cabrera s/n, 25001 Lleida, Spain.
    Martin, Viktoria
    Royal Institute of Technology,.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering.
    Advances in energy storage research and development: The 12th International Conference on Energy Storage Innostock 20122013In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 109, p. 291-292Article in journal (Other academic)
  • 10.
    Campana, Pietro Elia
    et al.
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Cheng, Fu
    Ericson, Eva
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Andersson, Sandra
    Landelius, Tomas
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Modelling the diffuse component of solar radiation using artificial intelligence techniques2018Conference paper (Refereed)
  • 11.
    Campana, Pietro Elia
    et al.
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Cioccolanti, L.
    Centro di Ricerca per l'Energia, l'Ambiente e il Territorio, Università Telematica eCampus, Novedrate (CO), 22060, Italy.
    François, B.
    Department of Civil and Environmental Engineering, University of Massachusetts Amherst, Amherst, MA 01003, United States.
    Jurasz, Jakob
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center. Faculty of Management, AGH University, Kraków, 30-059, Poland; Faculty of Environmental Engineering, Wroclaw University of Science and Technology, Wroclaw, 50-370, Poland.
    Zhang, Y.
    Department of Chemical Engineering, KTH Royal Institute of Technology, Stockholm, 10044, Sweden.
    Varini, M.
    Department of Chemical Engineering, KTH Royal Institute of Technology, Stockholm, 10044, Sweden.
    Stridh, Bengt
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Li-ion batteries for peak shaving, price arbitrage, and photovoltaic self-consumption in commercial buildings: A Monte Carlo Analysis2021In: Energy Conversion and Management, ISSN 0196-8904, E-ISSN 1879-2227, Vol. 234, article id 113889Article in journal (Refereed)
    Abstract [en]

    This study investigates the benefits of introducing Li-ion batteries as energy storage unit in the commercial sector by considering a representative building with a photovoltaic system. Only the costs and revenues related to the installation and operation of the battery are considered in this study. The operational strategy of the battery consists in balancing the following processes through day-ahead forecasts for both electricity consumption and photovoltaic production: shaving a targeted peak, performing price arbitrage, and increasing photovoltaic self-consumption. By reviewing the electricity price cost for commercial buildings from several companies around the world, a general electricity price structure is defined. Afterwards, a Monte Carlo Analysis is applied for three locations with different solar irradiation levels to study the impact of climate, electricity price components, and other seven sensitive parameters on the economic viability of Li-ion batteries. The Monte Carlo Analysis shows that the most sensitive parameters for the net present value are the battery capacity, the battery price, and the component of the electricity price that relates to the peak power consumption. For Stockholm, one of the investigated locations, the corresponding Pearson correlation coefficients are −0.67, −0.66, and 0.19 for the case were no photovoltaic system is installed. For the considered battery operational strategies, the current investment and annual operation costs for the Li-ion battery always lead to negative net present values independently of the location. Battery prices lower than 250 US$/kWh start to manifest positive net present values when combining peak shaving, price arbitrage, and photovoltaic self-consumption. However, the integration of a photovoltaic system leads to a reduced economic viability of the battery by reducing the revenues generated by the battery while performing peak shaving.

  • 12.
    Campana, Pietro Elia
    et al.
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Cioccolanti, Luca
    François, B.
    Jurasz, J.
    Zhang, Yang
    Stridh, Bengt
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    A Multi-Country Economic Analysis Of Lithium-Ion Batteries For Peak Shaving And Price Arbitrage In Commercial Buildings2018Conference paper (Refereed)
  • 13.
    Campana, Pietro Elia
    et al.
    Mälardalen University, School of Sustainable Development of Society and Technology.
    Daianova, L.
    Yan, Jinyue
    Mälardalen University, School of Sustainable Development of Society and Technology.
    Desideri, U.
    Bioethanol Production from Lignocellulosic Biomass, Evaluation of the Potential Bioethanol Production in Three Swedish Regions2009Conference paper (Refereed)
  • 14.
    Campana, Pietro Elia
    et al.
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Holmberg, Aksel
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Pettersson, Oscar
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Klintenberg, Patrik
    Hangula, A.
    Namibia Energy Institute, Namibia University of Science and Technology, Windhoek, Namibia.
    Araoz, F. B.
    School of Chemical Science & Engineering, KTH Royal Institute of Technology, Teknikringen 42, Stockholm, Sweden.
    Zhang, Y.
    School of Chemical Science & Engineering, KTH Royal Institute of Technology, Teknikringen 42, Stockholm, Sweden.
    Stridh, Bengt
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center. ABB AB, Corporate Research, Västerås, Sweden.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center. School of Chemical Science & Engineering, KTH Royal Institute of Technology, Teknikringen 42, Stockholm, Sweden.
    An open-source optimization tool for solar home systems: A case study in Namibia2016In: Energy Conversion and Management, ISSN 0196-8904, E-ISSN 1879-2227, Vol. 130, no 15, p. 106-118Article in journal (Refereed)
    Abstract [en]

    Solar home systems (SHSs) represent a viable technical solution for providing electricity to households and improving standard of living conditions in areas not reached by the national grid or local grids. For this reason, several rural electrification programmes in developing countries, including Namibia, have been relying on SHSs to electrify rural off-grid communities. However, the limited technical know-how of service providers, often resulting in over- or under-sized SHSs, is an issue that has to be solved to avoid dissatisfaction of SHSs’ users. The solution presented here is to develop an open-source software that service providers can use to optimally design SHSs components based on the specific electricity requirements of the end-user. The aim of this study is to develop and validate an optimization model written in MS Excel-VBA which calculates the optimal SHSs components capacities guaranteeing the minimum costs and the maximum system reliability. The results obtained with the developed tool showed good agreement with a commercial software and a computational code used in research activities. When applying the developed optimization tool to existing systems, the results identified that several components were incorrectly sized. The tool has thus the potentials of improving future SHSs installations, contributing to increasing satisfaction of end-users.

  • 15.
    Campana, Pietro Elia
    et al.
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Jige Quan, S.
    Georgia Institute of Technology, US.
    Robbio, F.I.
    ABB AB, Västerås, Sweden.
    Lundblad, Anders
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center. KTH Royal Institute of Technology, Sweden.
    Zhang, Y.
    KTH Royal Institute of Technology, Sweden.
    Ma, Tao
    Shanghai Jiao Tong University, China.
    Karlsson, Björn
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Optimization of a residential district with special consideration on energy and water reliability2017In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 194, p. 751-764Article in journal (Refereed)
    Abstract [en]

    Many cities around the world have reached a critical situation when it comes to energy and water supply, threatening the urban sustainable development. From an engineering and architecture perspective it is mandatory to design cities taking into account energy and water issues to achieve high living and sustainability standards. The aim of this paper is to develop an optimization model for the planning of residential urban districts with special consideration of renewables and water harvesting integration. The optimization model is multi-objective which uses a genetic algorithm to minimize the system life cycle costs, and maximize renewables and water harvesting reliability through dynamic simulations. The developed model can be used for spatial optimization design of new urban districts. It can also be employed for analyzing the performances of existing urban districts under an energy-water-economic viewpoint.

    The optimization results show that the reliability of the hybrid renewables based power system can vary between 40 and 95% depending on the scenarios considered regarding the built environment area and on the cases concerning the overall electric load. The levelized cost of electricity vary between 0.096 and 0.212 $/kW h. The maximum water harvesting system reliability vary between 30% and 100% depending on the built environment area distribution. For reliabilities below 20% the levelized cost of water is kept below 1 $/m3 making competitive with the network water tariff.

  • 16.
    Campana, Pietro Elia
    et al.
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Landelius, T.
    Swedish Meteorological and Hydrological Institute, Norrköping, Sweden.
    Andersson, S.
    Swedish Meteorological and Hydrological Institute, Norrköping, Sweden.
    Lundström, Lukas
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Nordlander, Eva
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    He, T.
    Wuhan University, Wuhan, China.
    Zhang, J.
    Uppsala University, Uppsala, Sweden.
    Stridh, Bengt
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    A gridded optimization model for photovoltaic applications2020In: Solar Energy, ISSN 0038-092X, E-ISSN 1471-1257, Vol. 202, p. 465-484Article in journal (Refereed)
    Abstract [en]

    This study aims to develop a gridded optimization model for studying photovoltaic applications in Nordic countries. The model uses the spatial and temporal data generated by the mesoscale models STRÅNG and MESAN developed by the Swedish Meteorological and Hydrological Institute. The model is developed based on the comparison between five irradiance databases, three decomposition models, two transposition models, and two photovoltaic models. Several techno-economic and environmental aspects of photovoltaic systems and photovoltaic systems integrated with batteries are investigated from a spatial perspective. CM SAF SARAH-2, Engerer2, and Perez1990 have shown the best performances among the irradiance databases, and decomposition and transposition models, respectively. STRÅNG resulted in the second-best irradiance database to be used in Sweden for photovoltaic applications when comparing hourly global horizontal irradiance with weather station data. The developed model can be employed for carrying out further detailed gridded techno-economic assessments of photovoltaic applications and energy systems in general in Nordic countries. The model structure is generic and can be applied to every gridded climatological database worldwide.

  • 17.
    Campana, Pietro Elia
    et al.
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Leduc, S.
    IIASA, Laxenburg, Austria.
    Kim, M
    Korea Univ., Seul, Korea.
    Liu, J.
    Beijing Forestry Univ, Peoples R China.
    Kraxner, F.
    IIASA, Laxenburg, Austria.
    McCallum, I.
    IIASA, Laxenburg, Austria.
    Li, Hailong
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center. KTH Royal Inst Technol, Stockholm.
    Optimal grassland locations for sustainable photovoltaic water pumping systems in China2015In: Energy Procedia, ISSN 1876-6102, Vol. 75, p. 301-307Article in journal (Refereed)
    Abstract [en]

    Grassland is of strategic importance for food security of China because of the high number of livestock raised in those areas. Grassland degradation due to climate change and overgrazing is thus regarded as severe environmental and economic threat for a sustainable future development of China. Photovoltaic water pumping (PVWP) systems for irrigation can play an important role for the conservation of grassland areas, halting degradation, improving its productivity and farmers' income and living conditions. The aim of this paper is to identify the technically suitable grassland areas for the implementation of PVWP systems by assessing spatial data on land cover and slope, precipitation, potential evapotranspiration and water stress index. Furthermore, the optimal locations for installing PVWP systems have been assessed using a spatially explicit renewable energy systems optimization model based on the minimization of the cost of the whole supply chain. The results indicate that the PVWP-supported grassland areas show high potential in terms of improving forage productivity to contribute to supplying the local demand. Nevertheless, the optimal areas are highly sensitive to several environmental and economic parameters such as ground water depth, forage water requirements, forage price and CO2 emission costs. These parameters need to be carefully considered in the planning process to meet the forage yield potentials.

  • 18.
    Campana, Pietro Elia
    et al.
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Leduc, S.
    Int Inst Appl Syst Anal, Laxenburg, Austria..
    Kim, M.
    Korea Univ, South Korea..
    Olsson, A.
    KTH Royal Inst Technol, Stockholm, Sweden..
    Zhang, J.
    Univ Maryland, USA..
    Liu, J.
    Int Inst Appl Syst Anal, Laxenburg, Austria.; South Univ Sci & Technol China, Sch Environm Sci & Engn, Shenzhen 518055, Peoples R China.;Beijing Forestry Univ, Sch Nat Conservat, Peoples R China..
    Kraxner, F.
    Int Inst Appl Syst Anal, Laxenburg, Austria..
    McCallum, I.
    Int Inst Appl Syst Anal, Laxenburg, Austria..
    Li, Hailong
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Suitable and optimal locations for implementing photovoltaic water pumping systems for grassland irrigation in China2017In: APPLIED ENERGY, ISSN 0306-2619, Vol. 185, p. 1879-1889Article in journal (Refereed)
    Abstract [en]

    Grassland plays a key role for the food security of China because of the large number of livestock raised in those areas. Thus, grassland degradation due to climate change and overgrazing is considered as one of the most severe environmental and economic threat for the future sustainable development of China. Photovoltaic water pumping systems for irrigation can play a fundamental role for the conservation of grassland areas. This paper investigates the geospatial distribution of the technically suitable grassland locations for the implementation of photovoltaic water pumping systems. The technically suitable grassland areas were taken as starting point to assess the optimal locations. The assessment of the optimal locations was conducted using a spatially explicit optimization model of renewable energy systems based on the cost minimization of the whole forage supply chain. The results indicate that the photovoltaic water pumping systems provide high potential for improving forage productivity, contributing to meet the local demand. The optimal areas are highly sensitive to several environmental and economic parameters such as increased forage potential yield, forage management costs, forage water requirements, ground water depth, forage price and CO2 price. Most of the optimal areas are selected when the market forage price ranges from 300 to 500 $/tonne DM, indicating that the forage produced using PVWP technology for irrigation is already competitive compared to the imported forage.

  • 19.
    Campana, Pietro Elia
    et al.
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Li, Hailong
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Hao, Yong
    Jin, H.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Optimal C-PV/T system integrated in biomethane production2018Conference paper (Refereed)
  • 20.
    Campana, Pietro Elia
    et al.
    Mälardalen University, School of Business, Society and Engineering.
    Li, Hailong
    Mälardalen University, School of Innovation, Design and Engineering.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering.
    Dynamic modelling of a pv pumping system with special consideration on water demandIn: Proceedings of ICAE2012 / [ed] Applied EnergyConference paper (Other academic)
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    Dynamic modelling of a pv pumping system with special consideration on water demand
  • 21.
    Campana, Pietro Elia
    et al.
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Li, Hailong
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Dynamic modelling of a PV pumping system with special consideration on water demand2013In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 112, p. 635-645Article in journal (Refereed)
    Abstract [en]

    The exploitation of solar energy in remote areas through photovoltaic (PV) systems is an attractive solution for water pumping for irrigation systems. The design of a photovoltaic water pumping system (PVWPS) strictly depends on the estimation of the crop water requirements and land use since the water demand varies during the watering season and the solar irradiation changes time by time. It is of significance to conduct dynamic simulations in order to achieve the successful and optimal design. The aim of this paper is to develop a dynamic modelling tool for the design of a of photovoltaic water pumping system by combining the models of the water demand, the solar PV power and the pumping system, which can be used to validate the design procedure in terms of matching between water demand and water supply. Both alternate current (AC) and direct current (DC) pumps and both fixed and two-axis tracking PV array were analyzed. The tool has been applied in a case study. Results show that it has the ability to do rapid design and optimization of PV water pumping system by reducing the power peak and selecting the proper devices from both technical and economic viewpoints. Among the different alternatives considered in this study, the AC fixed system represented the best cost effective solution.

  • 22.
    Campana, Pietro Elia
    et al.
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Li, Hailong
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center. KTH Royal Inst Technol, Stockholm, Sweden.
    Techno-economic feasibility of the irrigation system for the grassland and farmland conservation in China: photovoltaic vs. wind power water pumping2015In: Energy Conversion and Management, ISSN 0196-8904, Vol. 103, no 6, p. 311-320Article in journal (Refereed)
    Abstract [en]

    Photovoltaic water pumping (PVWP) and wind power water pumping (WPWP) systems for irrigation represent innovative solutions for the restoration of degraded grassland and the conservation of farmland in remote areas of China. The present work systematically compares the technical and economic suitability of such systems, providing a general approach for the design and selection of the suitable technology for irrigation purposes. The model calculates the PVWP and WPWP systems sizes based on irrigation water requirement (IWR), solar irradiation and wind speed. Based on the lowest PVWP and WPWP systems components costs, WPWP systems can compete with PVWP systems only at high wind speed and low solar irradiation values. Nevertheless, taking into account the average specific costs both for PVWP and WPWP systems, it can be concluded that the most cost-effective solution for irrigation is site specific. According to the dynamic simulations, it has also been found that the PVWP systems present better performances in terms of matching between IWR and water supply compared to the WPWP systems. The mismatch between IWR and pumped water resulted in a reduction of crop yield. Therefore, the dynamic simulations of the crop yield are essential for economic assessment and technology selection.

  • 23.
    Campana, Pietro Elia
    et al.
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Li, Hailong
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Zaccaria, Valentina
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Zhang, Yang
    Stridh, Bengt
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Flexibility Services Provided by Building Thermal Inertia2018Conference paper (Refereed)
  • 24.
    Campana, Pietro Elia
    et al.
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Li, Hailong
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Zhang, J.
    Institute of Water Resources and Hydropower Research, Beijing, China .
    Liu, J.
    Institute of Water Resources and Hydropower Research, Beijing, China .
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Economic optimization of photovoltaic water pumping systems for irrigation2015In: Energy Conversion and Management, ISSN 0196-8904, E-ISSN 1879-2227, Vol. 95, p. 32-41Article in journal (Refereed)
    Abstract [en]

    Photovoltaic water pumping technology is considered as a sustainable and economical solution to provide water for irrigation, which can halt grassland degradation and promote farmland conservation in China. The appropriate design and operation significantly depend on the available solar irradiation, crop water demand, water resources and the corresponding benefit from the crop sale. In this work, a novel optimization procedure is proposed, which takes into consideration not only the availability of groundwater resources and the effect of water supply on crop yield, but also the investment cost of photovoltaic water pumping system and the revenue from crop sale. A simulation model, which combines the dynamics of photovoltaic water pumping system, groundwater level, water supply, crop water demand and crop yield, is employed during the optimization. To prove the effectiveness of the new optimization approach, it has been applied to an existing photovoltaic water pumping system. Results show that the optimal configuration can guarantee continuous operations and lead to a substantial reduction of photovoltaic array size and consequently of the investment capital cost and the payback period. Sensitivity studies have been conducted to investigate the impacts of the prices of photovoltaic modules and forage on the optimization. Results show that the water resource is a determinant factor.

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  • 25.
    Campana, Pietro Elia
    et al.
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Olsson, A.
    KTH Royal Institute of Technology, Stockholm.
    Li, Hailong
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    An economic analysis of photovoltaic water pumping irrigation systems2016In: International Journal of Green Energy, ISSN 1543-5075, E-ISSN 1543-5083, Vol. 13, no 8, p. 831-839Article in journal (Refereed)
    Abstract [en]

    ABSTRACT: Irrigation using the photovoltaic water pumping (PVWP) systems represents a sustainable and attractive solution, which can combat Chinese grassland desertification and promote a sustainable development of the agricultural sector. This paper investigates the economics of PVWP systems taking into consideration the effects of the key components on the initial capital cost (ICC), life cycle cost (LCC), and revenues. Sensitivity analyses are conducted regarding the crop yield and price, cost of photovoltaic modules, and system components included in the ICC. Results show that the cost of the PVWP system is the most sensitive parameter affecting the ICC under the assumptions made, especially the cost of the PV modules; whereas, the crop production and price affect the net present value (NPV) and payback period (PBP) clearly. The PVWP has surplus power output when the crop water demand is low or it is non-irrigation season. The potential benefit from selling the surplus electricity is also discussed. In addition, the indirect benefits of carbon sequestration and CO2 emission reduction by applying PVWP systems are addressed in this paper.

  • 26.
    Campana, Pietro Elia
    et al.
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Olsson, Alexander
    Li, Hailong
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Economic analysis of photovoltaic water pumping irrigation systems2013Conference paper (Refereed)
    Abstract [en]

    Irrigation through photovoltaic water pumping (PVWP) system represents one of sustainable and attractivesolutions regarding the problems related to the Chinese grassland desertification. This paper is to investigatethe economics of PVWP systems taking in consideration of the key parameters affecting the sizing, and furtherthe initial capital cost (ICC), the life cycle cost (LCC) and revenues. In particular photovoltaic (PV) modules cost,availability of the well and of the irrigation system, designing water-head, irrigated area and related waterdemand, fuel price and grass production are investigated for the sensitivity analysis. The possibility ofcombining water pumping with electricity production for maximizing benefits is also discussed. Both PVWP anddiesel water pumping (DWP) systems are compared in terms of ICC and LCC. LCC, sensitivity, break-even point(BEP), net present value (NPV) and payback period (PBP) analyses are used to compare and evaluate theeconomic feasibility of the different alternatives investigated. The results show that the availability of the welland the depth of the ground water resources are the most sensitive parameters affecting the initial capitalcosts whereas the grass production and incentives affect mainly the NPV and PBP. The co-benefits for carbonmitigation and carbon credit trading through implementing photovoltaic water pumping system for the Chinesegrassland are also addressed in this paper.

  • 27.
    Campana, Pietro Elia
    et al.
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Olsson, Alexander
    Zhang, Chi
    Berretta, Sara
    Hailong, Li
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    On-grid photovoltaic water pumping systems for agricultural purposes: Comparison of the potential benefits under three different incentive schemes2014Conference paper (Other academic)
  • 28.
    Campana, Pietro Elia
    et al.
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Papic, I.
    KTH – Royal Institute of Technology, School of Industrial Engineering and Management, Stockholm, Sweden.
    Jakobsson, S.
    KTH – Royal Institute of Technology, School of Industrial Engineering and Management, Stockholm, Sweden.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Photovoltaic water pumping systems for irrigation: Principles and advances2022In: Solar Energy Advancements in Agriculture and Food Production Systems, Elsevier , 2022, p. 113-157Chapter in book (Other academic)
    Abstract [en]

    Agriculture is one of the most water- and energy-intensive sectors of the economy, consuming about 70% of global freshwater withdrawals. Access to clean and affordable water for irrigation is an essential step towards guaranteeing water and food security, improving incomes and living standards, decarbonizing an energy-intensive sector and attaining the United Nations Sustainable Development Goals (SDGs), in particular SDGs 2 (Zero Hunger), 6 (Clean Water and Sanitation), 7 (Affordable and Clean Energy), and 13 (Climate Action). Ensuring access to water for irrigation, as well as for other agricultural (i.e., livestock watering), domestic, and industrial purposes is a global challenge, and it is more challenging in remote areas where the grid connection is often not available. Solar-powered pumping systems represent a renewable solution for the decarbonization of the irrigation sector worldwide. While solar water pumping systems were used in the past to supply water for irrigation, livestock, and domestic purposes only in remote locations without access to the electric grid, the drastic drop in photovoltaic (PV) modules prices has made the technology also competitive for on-grid applications. This chapter reviews the configurations of solar water pumping systems for irrigation, highlighting the water–food–energy nexus aspects and recent advances, reviewing case studies, and analyzing the economics and current and future challenges. 

  • 29.
    Campana, Pietro Elia
    et al.
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Quan, S. J.
    Georgia Institute of Technology, USA.
    Robbio, F. I.
    ABB AB, Västerås, Sweden.
    Lundblad, Anders
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center. KTH Royal Institute of Technology, Sweden.
    Zhang, Y.
    KTH Royal Institute of Technology, Sweden.
    Ma, T.
    KTH Royal Institute of Technology, Sweden.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center. KTH Royal Institute of Technology, Sweden.
    Spatial optimization of residential urban district - Energy and water perspectives2016In: Energy Procedia, ISSN 1876-6102, Vol. 88, p. 38-43Article in journal (Refereed)
    Abstract [en]

    Many cities around the world have reached a critical situation when it comes to energy and water supply, threatening the urban sustainable development. The aim of this paper is to develop a spatial optimization model for the planning of residential urban districts with special consideration of renewables and water harvesting integration. In particular, the paper analyses the optimal configuration of built environment area, PV area, wind turbines number and relative occupation area, battery and water harvester storage capacities, as a function of electricity and water prices. The optimization model is multi-objective which uses a genetic algorithm to minimize the system life cycle costs, and maximize renewables and water harvesting reliability. The developed model can be used for spatial optimization design of new urban districts. It can also be employed for analyzing the performances of existing urban districts under an energy-water-economic viewpoint. Assuming a built environment area equal to 75% of the total available area, the results show that the reliability of the renewables and water harvesting system cannot exceed the 6475 and 2500 hours/year, respectively. The life cycle costs of integrating renewables and water harvesting into residential districts are mainly sensitive to the battery system specific costs since most of the highest renewables reliabilities are guaranteed through the energy storage system.

  • 30.
    Campana, Pietro Elia
    et al.
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Varini, Maria
    Chiche, Ariel
    Zhang, Y.
    Zhang, Chi
    Lundblad, Anders
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    High Share Renewable Islands Through Synergies Between Energy Networks2018Conference paper (Refereed)
  • 31.
    Campana, Pietro Elia
    et al.
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center. Royal Institute of Technology, Stockholm, Sweden.
    Wästhage, Louise
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Nookuea, Worrada
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Tan, Y.
    Royal Institute of Technology, Stockholm, Sweden.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center. Royal Institute of Technology, Stockholm, Sweden.
    Optimization and assessment of floating and floating-tracking PV systems integrated in on- and off-grid hybrid energy systems2019In: Solar Energy, ISSN 0038-092X, E-ISSN 1471-1257, Vol. 177, p. 782-795Article in journal (Refereed)
    Abstract [en]

    Considering the targets of Thailand in terms of renewable energy exploitation and decarbonization of the shrimp farming sector, this work evaluates several scenarios for optimal integration of hybrid renewable energy systems into a representative shrimp farm. In particular, floating and floating-tracking PV systems are considered as alternatives for the exploitation of solar energy to meet the shrimp farm electricity demand. By developing a dynamic techno-economic simulation and optimization model, the following renewable energy systems have been evaluated: PV and wind based hybrid energy systems, off-grid and on-grid PV based hybrid energy systems, ground mounted and floating PV based hybrid energy systems, and floating and floating-tracking PV based hybrid energy systems. From a water-energy nexus viewpoint, floating PV systems have shown significant impacts on the reduction of evaporation losses, even if the energy savings for water pumping are moderate due to the low hydraulic head. Nevertheless, the study on the synergies between water for food and power production has highlighted that the integration of floating PV represents a key solution for reducing the environmental impacts of shrimp farming. For the selected location, the results have shown that PV systems represent the best renewable solution to be integrated into a hybrid energy system due to the abundance of solar energy resources as compared to the moderate wind resources. The integration of PV systems in off-grid configurations allows to reach high renewable reliabilities up to 40% by reducing the levelized cost of electricity. Higher renewable reliabilities can only be achieved by integrating energy storage solutions but leading to higher levelized cost of electricity. Although the floating-tracking PV systems show higher investment costs as compared to the reference floating PV systems, both solutions show similar competiveness for reliabilities up to 45% due to the higher electricity production of the floating-tracking PV systems. The higher electricity production from the floating-tracking PV systems leads to a better competitiveness for reliabilities higher than 90% due to lower capacity requirements for the storage systems.

  • 32.
    Campana, Pietro Elia
    et al.
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Yang, Z.
    KTH Royal Institute of Technology, Sweden.
    Anders, Lundblad
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Li, Hailong
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center. KTH Royal Institute of Technology, Sweden.
    An Open-source Platform for Simulation and Optimization of Clean Energy Technologies2017In: Energy Procedia, ISSN 1876-6102, Vol. 105, p. 946-952Article in journal (Refereed)
    Abstract [en]

    This paper is to describe an open-source code for optimization of clean energy technologies. The model covers the whole chain of energy systems including mainly 6 areas: renewable energies, clean energy conversion technologies, mitigation technologies, intelligent energy uses, energy storage, and sustainability. Originally developed for optimization of renewable water pumping systems for irrigation, the open-source model is written in Matlab® and performs simulation, optimization, and design of hybrid power systems for off-grid and on-grid applications. The model uses genetic algorithm (GA) as optimization technique to find the best mix among power sources, storage systems, and back-up sources to minimize life cycle cost, and renewable power system reliability. 

  • 33.
    Campana, Pietro Elia
    et al.
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center. KTH Royal Inst Technol, Dept Chem Engn, Stockholm, Sweden..
    Zhang, J.
    Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA..
    Yao, T.
    Sci Syst & Applicat Inc SSAI, Lanham, MD 20706 USA.;NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA..
    Andersson, S.
    Swedish Meteorol & Hydrol Inst, SE-60176 Norrkoping, Sweden..
    Landelius, T.
    Swedish Meteorol & Hydrol Inst, SE-60176 Norrkoping, Sweden..
    Melton, F.
    NASA ARC CREST, Moffett Field, CA 94035 USA.;Calif State Univ Monterey Bay, Sch Nat Sci, Seaside, CA 93955 USA..
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center. KTH Royal Inst Technol, Dept Chem Engn, SE-10044 Stockholm, Sweden..
    Managing agricultural drought in Sweden using a novel spatially-explicit model from the perspective of water-food-energy nexus2018In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 197, p. 1382-1393Article in journal (Refereed)
    Abstract [en]

    Using a multi-disciplinary approach, this paper integrated spatial analysis with agricultural and energy system modelling to assess the impacts of drought on crop water demand, water availability, crop yield, and electricity requirements for irrigation. This was done by a novel spatially-explicit and integrated water-food-energy nexus model, using the spatial climatic data generated by the mesoscale MESAN and STRANG models. In this study, the model was applied to quantify the effects of drought on the Swedish irrigation sector in 2013, a typical drought year, for a specific crop. The results show that drought can severely affect the crop yield if irrigation is not applied, with a peak yield reduction of 18 t/ha, about 50 % loss as compared to the potential yield in irrigated conditions. Accordingly, the water and energy requirements for irrigation to halt the negative drought effects and maintain high yields are significant, with the peaks up to 350 mm and 700 kWh per hectare. The developed model can be used to provide near real-time guidelines for a comprehensive drought management system. The model also has significant potentials for applications in precision agriculture, especially using high-resolution satellite data.

  • 34.
    Campana, Pietro Elia
    et al.
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Zhang, Jie
    Yao, Tian
    Andersson, Sandra
    Landelius, Tomas
    Melton, Forrest
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Modelling the water-food-energy nexus during agricultural drought in Sweden2018Conference paper (Refereed)
  • 35.
    Campana, Pietro Elia
    et al.
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Zhu, Y.
    Chengdu University, China.
    Brugiati, Elena
    Università Degli Studi di Perugia, Italy.
    Li, Hailong
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    PV water pumping for irrigation equipped with a novel control system for water savings2014In: Energy Procedia, ISSN 1876-6102, Vol. 61, p. 949-952Article in journal (Refereed)
    Abstract [en]

    Typically, PV water pumping (PVWP) systems for irrigation are normally designed based on the worst conditions, such as high water demand and low solar irradiation. Therefore, the installed PVWP systems become oversized in most of time. Since the conventional control systems don't optimize the water supply, the water losses are increased. To remedy the problems related to the operation of the oversized systems, a novel control system is proposed. The control unit interacts between water demand and water supply in order to pump only the amount required by crops. Moreover, the novel control system substitutes the conventional protection approach with a method based on the ground water resources availability and response. The novel control system represents an innovative solution for water savings in PV watering applications.

  • 36.
    Cantore, N.
    et al.
    Department of Policy Research and Statistics, UNIDO (United Nations Industrial Development Organization), Austria.
    Schlör, H.
    Institute of Energy and Climate Research (IEK-STE), Forschungszentrum Jülich, Germany.
    Voegele, S.
    Institute of Energy and Climate Research (IEK-STE), Forschungszentrum Jülich, Germany.
    Kuckshinrichs, W.
    Institute of Energy and Climate Research (IEK-STE), Forschungszentrum Jülich, Germany.
    Haraguchi, N.
    Department of Policy Research and Statistics, UNIDO (United Nations Industrial Development Organization), Austria.
    Nussbaumer, P.
    Climate Technology and Innovations Division, UNIDO (United Nations Industrial Development Organization), Austria.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center. Royal Institute of Technology, Stockholm.
    Inclusive and sustainable industrial development: Measurement approaches for energy transformation2021In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 299, article id 117277Article in journal (Refereed)
  • 37.
    Chen, S.
    et al.
    Sun Yat Sen Univ, Guangdong, Peoples R China.
    Kharrazi, A.
    CMCC Fdn Euromediterranean Ctr Climate Change, Venice, Italy.
    Liang, S.
    Beijing Normal Univ, Peoples R China.
    Fath, B. D.
    Int Inst Appl Syst Anal, Laxenburg, Austria.
    Lenzen, M.
    Univ Sydney, Sydney, Australia.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Advanced approaches and applications of energy footprints toward the promotion of global sustainability2020In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 261, article id 114415Article in journal (Other academic)
    Abstract [en]

    Ever-increasing energy demands pose huge environmental challenges globally. The strategies and methods that are chosen to address the energy crisis will, in part, determine the possibility of fulfilling the 1.5-degree global warming target set by the Paris Agreement, and of achieving the United Nations Sustainable Developmental Goals, two vital and ambitious objectives for humans in the coming decades. While numerous inventory and modelling approaches have been developed to evaluate direct and indirect energy requirements at multiple scales from industries to cities and to the global economy, a discussion on their implications for environmental sustainability is long overdue. In this study, we provide an overview of the research paradigm and the important approaches that have been developed to address energy sustainability and review the papers included in this Special Issue, which are representative of some of the major advancements in energy, carbon, and other hybrid footprint approaches. This Special Issue aims to gather and harmonize state-of-the-art energy accounting frameworks, models, and metrics that benefit the promotion of global sustainability. 

  • 38.
    Chen, S.
    et al.
    Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin, China.
    Li, P.
    Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin, China.
    Ji, H.
    Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin, China.
    Yu, H.
    Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin, China.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Wu, J.
    Institute of Energy, School of Engineering, Cardiff University, Cardiff, United Kingdom.
    Wang, C.
    Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin, China.
    Operational flexibility of active distribution networks with the potential from data centers2021In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 293, article id 116935Article in journal (Refereed)
    Abstract [en]

    With the development of information technology, the scale and quantity of internet data centers (IDCs) are expanding rapidly. IDCs have emerged as the major electricity consumers in active distribution networks (ADNs), which dramatically increase the electricity load and have a significant impact on the operational flexibility of ADNs. Geographically distributed IDCs can participate in the operation of ADNs with the potential for spatio-temporal load regulation. This paper proposes flexible dispatch strategies of data centers to improve the operational flexibility of ADNs. First, a data-power model of IT equipment is proposed based on piecewise linearization to describe the power consumption characteristics of data centers. The flexible dispatch strategies for the delay-tolerant workload are further proposed from two aspects of temporal transfer and spatial allocation. Then, considering the potential for spatio-temporal load regulation, the operational flexibility analysis model with data centers is formulated to adapt to the operational requirements of ADNs in complex environments. Case studies show that through the spatio-temporal regulation of workload, the energy efficiency of IDCs can be effectively improved. The flexible dispatch of IDCs can also reduce the voltage violation and feeder load imbalance of ADNs, which can facilitate providing the high-quality power supply for IDCs.

  • 39.
    Chen, Y.
    et al.
    Peng Cheng Laboratory, Shenzhen, China.
    Huang, D.
    The University of Tokyo, Chiba, Japan.
    Zhang, D.
    Southern University of Science and Technology, Shenzhen, China.
    Zeng, J.
    Peng Cheng Laboratory, Shenzhen, China.
    Wang, N.
    Peking University, Beijing, China.
    Zhang, Haoran
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center. LocationMind Inc., Tokyo, Japan.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Theory-guided hard constraint projection (HCP): A knowledge-based data-driven scientific machine learning method2021In: Journal of Computational Physics, ISSN 0021-9991, E-ISSN 1090-2716, Vol. 445, article id 110624Article in journal (Refereed)
    Abstract [en]

    Machine learning models have been successfully used in many scientific and engineering fields. However, it remains difficult for a model to simultaneously utilize domain knowledge and experimental observation data. The application of knowledge-based symbolic artificial intelligence (AI) represented by expert systems is limited by the expressive ability of the model, and data-driven connectionism AI represented by neural networks is prone to produce predictions that might violate physical principles. In order to fully integrate domain knowledge with observations and make full use of the strong fitting ability of neural networks, this study proposes theory-guided hard constraint projection (HCP). This deep learning model converts physical constraints, such as governing equations, into a form that is easy to handle through discretization, and then implements hard constraint optimization through projection in a patch. Based on rigorous mathematical proofs, theory-guided HCP can ensure that model predictions strictly conform to physical mechanisms in the constraint patch. The training process of theory-guided HCP only needs a small amount of labeled data (sparse observation), and it can supervise the model by combining the coordinates (label-free data) with domain knowledge. The performance of the theory-guided HCP is verified by experiments based on a published heterogeneous subsurface flow problem. The experiments show that theory-guided HCP requires fewer data, and achieves higher prediction accuracy and stronger robustness to noisy observations, than the fully connected neural networks and soft constraint models. Furthermore, due to the application of domain knowledge, theory-guided HCP possesses the ability to extrapolate and can accurately predict points outside of the range of the training dataset.

  • 40.
    Chen, Yushun
    et al.
    Chinese Academy of Sciences, Wuhan, China.
    Zhang, Shuanghu
    China Institute of Water Resources and Hydropower Research, Beijing, China .
    Huang, Desheng
    Ministry of Environmental Protection of People's Republic of China, Policy Research Center for Environment and Economy, Beijing, China .
    Li, Bailian
    University of California, Riverside, Riverside, United States .
    Liu, Junguo
    South University of Science and Technology of China, Shenzhen, China .
    Liu, Wenjin
    Orient Landscape Industry Group Ltd., Beijing, China.
    Ma, Jing
    China Institute of Water Resources and Hydropower Research, State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Beijing, China .
    Wang, Fang
    China Institute of Water Resources and Hydropower Research, State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Beijing, China .
    Wang, Yong
    Alabama A and M University, Huntsville, United States .
    Wu, Shengjun
    Chinese Academy of Sciences, Beijing, China .
    Wu, Yegang
    Shanghai BoDa Development Corporation, Shanghai, China .
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Guo, Chuanbo
    Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China .
    Xin, Wei
    Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China .
    Wang, Hao
    China Institute of Water Resources and Hydropower Research, Beijing, China .
    The development of China's Yangtze River Economic Belt: how to make it in a green way?2017In: Science Bulletin, ISSN 2095-9273, Vol. 62, no 9, p. 648-651Article in journal (Other academic)
  • 41.
    Chen, Z.
    et al.
    University of Shanghai for Science and Technology, Shanghai, 200093, China.
    Jiang, M.
    East China University of Science and Technology, Shanghai, 200237, China.
    Qi, Lingfei
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Wei, W.
    Shanghai Meteorological Service, Shanghai, 200030, China.
    Yu, Z.
    University of Shanghai for Science and Technology, Shanghai, 200093, China.
    Yu, X.
    East China University of Science and Technology, Shanghai, 200237, China.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Using existing infrastructures of high-speed railways for photovoltaic electricity generation2022In: Resources, Conservation and Recycling, ISSN 0921-3449, E-ISSN 1879-0658, Vol. 178, article id 106091Article in journal (Refereed)
    Abstract [en]

    Cities worldwide are stepping up efforts to reshape their infrastructure to ensure a carbon-neutral and sustainable future, leading to the rapid electrification of transportation systems. The electricity demand of this sector, particularly that of high-speed railways, is increasing. Application of the existing infrastructures of railway stations and available land along rail lines for photovoltaic (PV) electricity generation has the potential to power high-speed bullet trains with renewable energy and supply surplus electricity to surrounding users. In this work, a methodology based on a geographic information system was established to evaluate the PV potential along rail lines and on the roofs of train stations. The Beijing-Shanghai high-speed railway (HSR) was used as a case study. Its total PV potential reached 5.65 GW (of which the station potential accounted for 264 MW, approximately 4.68%, of the total potential), with a lifelong generation capacity of 155 TWh, which corresponds to approximately 12% of the total new installed capacity of China in 2020. Although electricity prices and solar resources differed along the railway line, all PV systems were profitable. Moreover, a comparison between the electricity consumption and generation shows that the PV+HSR system can cover most of the electricity demand of the Beijing-Shanghai HSR without a storage system. This concept can be further expanded to other rail lines and stations. Within the context of global carbon peaks and carbon neutrality, the integration of PV and railway systems should be promoted. 

  • 42.
    Chiaramonti, D.
    et al.
    Univ Florence, Italy.
    Liden, G.
    Lund Univ, Sweden.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering.
    Advances in sustainable biofuel production and use: The XIX international symposium on alcohol fuels2013In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 102, p. 1-4Article in journal (Refereed)
  • 43.
    Chiaramonti, D.
    et al.
    Univ Florence, Italy.
    Maniatis, K.
    Univ Florence, Italy.
    Tredici, M.R
    Univ Florence, Italy.
    Verdelho, V.
    EABA, Lisbon, Portugal.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center. KTH, Stockholm, Sweden.
    Life Cycle Assessment of Algae Biofuels: Needs and challenges2015In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 154, p. 1049-1051Article in journal (Other academic)
  • 44.
    Chisti, Yusuf
    et al.
    Massey University.
    Yan, Jinyue
    Mälardalen University, School of Sustainable Development of Society and Technology.
    Energy from algae: Current status and future trends: Algal biofuels – A status report2011In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 88, no 10, p. 3277-3279Article in journal (Refereed)
  • 45.
    Choi, Byungchul
    et al.
    Chonnam Natl Univ, South Korea.
    Park, Su Han
    Chonnam Natl Univ, South Korea.
    Chiarmonti, David
    RE CORD Renewable Energy COnsortium R&D, Garbagnate Monastero, LC, Ital.
    Bae, Hyeun-Jong
    Chonnam Natl Univ, South Korea.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center. Royal Inst Technol KTH, Stockholm, Sweden.
    Sustainable alcohol fuels promoting mobility and climate stabilization: The 21st International Symposium on Alcohol Fuels2015In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 160, p. 561-565Article in journal (Other academic)
  • 46.
    Chua, K. J.
    et al.
    Natl Univ Singapore, Dept Mech Engn, Singapore.
    Chou, S. K.
    Natl Univ Singapore, Dept Mech Engn, Singapore .
    Yang, W. M.
    Natl Univ Singapore, Dept Mech Engn, Singapore .
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering.
    Achieving better energy-efficient air conditioning - A review of technologies and strategies2013In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 104, p. 87-104Article, review/survey (Refereed)
    Abstract [en]

    Air conditioning is essential for maintaining thermal comfort in indoor environments, particularly for hot and humid climates. Today, air conditioning, comprising cooling and dehumidification, has become a necessity in commercial and residential buildings and industrial processes. It accounts for a major share of the energy consumption of a building or facility. In tropical climates, the energy consumed by heating, ventilation and air-conditioning (HVAC) can exceed 50% of the total energy consumption of a building. This significant figure is primarily due to the heavy duty placed on cooling technologies to remove both sensible and latent heat loads. Therefore, there is tremendous potential to improve the overall efficiency of the air-conditioning systems in buildings. Based on today's practical technology for cooling, the major components of a chiller plant are (I) compressors, (2) cooling towers, (3) pumps (chilled and cooling water) and (4) fans in air handling units. They all consume mainly electricity to operate. When specifying the kW/R ton of a plant, there are two levels of monitoring cooling efficiency: (1) at the efficiency of the chiller machines or the compressors which consume a major amount of electricity; and (2) at the overall efficiency of cooling plants which include the cooling towers, pumps for moving coolant (chilled and cooling water) to all air-handling units. Pragmatically, a holistic approach is necessary towards achieving a low energy input per cooling achieved such as 0.6 kW/R ton cooling or lower by considering all aspects of the cooling plant. In this paper, we present a review of recent innovative cooling technology and strategies that could potentially lower the kW/R ton of cooling systems - from the existing mean of 0.9 kW/R ton towards 0.6 kW/R ton or lower. The paper, broadly divided into three key sections (see Fig. 2), begins with a review of the recent novel devices that enhances the energy efficiency of cooling systems at the component level. This is followed by a review of innovative cooling systems designs that reduces energy use for air conditioning. Lastly, the paper presents recent developments in intelligent air-control strategies and smart chiller sequencing methodologies that reduce the primary energy utilization for cooling. The energy efficient cooling technology, innovative systems designs, and intelligent control strategies described in the paper have been recently researched or are on-going studies. Several have been implemented on a larger scale and, therefore, are examples of practical solutions that can be readily applied to suit specific needs. (C) 2012 Elsevier Ltd. All rights reserved.

  • 47.
    Dahlquist, Erik
    et al.
    Mälardalen University, School of Sustainable Development of Society and Technology.
    Avelin, Anders
    Mälardalen University, School of Business, Society and Engineering.
    Yan, Jinyue
    Mälardalen University, School of Sustainable Development of Society and Technology.
    Black liquor gasification in a CFB gasifier – system solutions2009Conference paper (Refereed)
    Abstract [en]

    In this paper a new type of black liquor gasification is presented and discussed. It is a CirculatingFluidized Bed process with the addition of TiO2 to the bed material. This gives a directcaustization of Na2CO3 to Na2O.TiO2 which forms NaOH by leaking with water. Thus a lime kilnis not needed. Simultaneously also SO4 is reduced to S2- and stripped off as H2S to a major extent,absorbed in a selective scrubber, giving a separation of OH- and S2- .This makes modifiedcooking possible. The produced synthetic gas can be used to run an efficient Integrated Gas-Combi Cycle (IGCC), up to 37 % electric efficiency, or use the gas for production of differentchemicals like NH3, DME pr Methanol. These aspects are discussed as well in the paper.

  • 48.
    Dahlquist, Erik
    et al.
    Mälardalen University, School of Sustainable Development of Society and Technology.
    Avelin, Anders
    Mälardalen University, School of Sustainable Development of Society and Technology.
    Yan, Jinyue
    Mälardalen University, School of Sustainable Development of Society and Technology.
    CFB Black liquor gasification – Discussions of gasification and system solutions2009In: Proceedings of first International Conference on Applied Energy / [ed] Jinyue Yan, Hong-Kong University , 2009Conference paper (Refereed)
    Abstract [en]

    In this paper a new type of black liquor gasification process is presented and analyzed. It is a Circulating Fluidized Bed (CFB) process with the addition of TiO

    2 to the bed material. This gives a direct caustization of Na2CO3 to Na2O.TiO2 which forms NaOH by leaking with water. Thus a lime kiln is not needed in the process. Simultaneously SO4 is also reduced to S2- and stripped off as H2S to a major extent, absorbed in a selective scrubber, giving a separation of OH- and S2- , which makes modified cooking possible. Performance of integrating black liquor gasification has also been analyzed and discussed for electricity production in an efficient Integrated Gasification Combined Cycle (IGCC) and/or different chemicals such as NH3, DME or methanol in a polygeneration sytem.

  • 49.
    Dahlquist, Erik
    et al.
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Mirmoshtaghi, Guilnaz
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Larsson, Eva K.
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Thorin, Eva
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Engvall, K.
    KTH Royal Institute of Technology, Stockholm, Sweden .
    Liliedahl, T.
    KTH Royal Institute of Technology, Stockholm, Sweden .
    Dong, C.
    North China Electric Power University, Beijing, China.
    Hu, X.
    North China Electric Power University, Beijing, China.
    Lu, Q.
    North China Electric Power University, Beijing, China.
    Modelling and Simulation of Biomass Conversion Processes2015In: Proceedings - 8th EUROSIM Congress on Modelling and Simulation, EUROSIM 2013, 2015, p. 506-512, article id 7004995Conference paper (Refereed)
    Abstract [en]

    By utilizing biomass gasification, the energy contentof the biomass can be utilized to produce gas to be used forcogeneration of heat and power as well as other energy carrierssuch as fuels for vehicles. The concept is suitable forapplication to existing CHP plants as well as for utilizing spentliqour in small scale pulp and paper mills. The introductionwould enable flexible energy utilization, use of problematicfuels as well as protects the environment by e.g. avoiding therelease of toxic substances. In this paper, the possibilities todevelop this concept is discussed. In this paper we comparedifferent gasification processes with respect to what gas qualitywe get, and how the gasification can be modelled usingdifferent modelling approaches, and how these can becombined. Results from simulations are compared toexperimental results from pilot plant operations in differentscales and with different processes like CFB and BFBTechnologies, athmospheric and pressurized, and using steam,air and oxygen as oxidizing media.

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  • 50.
    Dahlquist, Erik
    et al.
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Naqvi, Muhammad
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Thorin, Eva
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Yan, Jinyue
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Kyprianidis, Konstantinos
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Comparison of Gas Quality from Black Liquor and Wood Pellet Gasification Using Modelica Simulation and Pilot Plant Results2017In: Energy Procedia, ISSN 1876-6102, Vol. 105, p. 992-998Article in journal (Refereed)
    Abstract [en]

    There is a potential to integrate biomass gasification with pulp & paper and CHP plants in order to complement the existing systems with production of chemicals, such as methane, hydrogen, and methanol etc. To perform system analysis of such integration, it is important to gain knowledge of relevant input data on expected synthesis gas composition by gasifying different types of feed stock. In this paper, the synthesis gas quality from wood pellets gasification (WPG) has been compared with black liquor gasification (BLG) through modeling and experimental results at pilot scale. In addition, the study develops regression models like Partial Least Squares (PLS) made from the experimental data. The regression models are then combined with dynamic models developed in Modelica for the investigation of dynamic energy and material balances for integrated plants. The data presented in this study could be used as input to relevant analysis using e.g. ASPEN plus and similar system analysis tools. 

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