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Hui, H., Ding, Y., Shi, Q., Li, F., Song, Y. & Yan, J. (2020). 5G network-based Internet of Things for demand response in smart grid: A survey on application potential. Applied Energy, 257, Article ID UNSP 113972.
Open this publication in new window or tab >>5G network-based Internet of Things for demand response in smart grid: A survey on application potential
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2020 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 257, article id UNSP 113972Article, review/survey (Refereed) Published
Abstract [en]

Demand response (DR) has been widely regarded as an effective way to provide regulation services for smart grids by controlling demand-side resources via new and improved information and communication technologies. Emerging 5G networks and 5G-based Internet of Things (IoTs) can doubtless provide better infrastructure for DR, owing to 5G's advantages of fast transfer speed, high reliability, robust security, low power consumption, and massive number of connections. However, nearly none of the existing studies have applied 5G technology to DR, which will be the subject surveyed in this paper. First, the concept of DR and recent practical advances are investigated, especially the application of communication technologies to DR. Then, a comprehensive review of the cyber security, consumer privacy, and reliability of DR is presented. These topics received little attention in the past, but they will be among the most crucial factors in the future. In addition, the essential features and typical application scenarios of 5G communication are investigated. On this basis, the advantages, methods, recent advances, and implementation planning of 5G on DR are studied. Finally, the future work that must urgently be conducted in order to achieve the application of 5G to DR is discussed. This paper's application survey of 5G on DR is carried out before 5G technology enters the large-scale commercial stage, so as to provide references and guidelines for developing future 5G networks in the smart grid paradigm.

Place, publisher, year, edition, pages
ELSEVIER SCI LTD, 2020
Keywords
Demand response, Smart grid, 5G network, Internet of Things, Application potential
National Category
Energy Engineering
Identifiers
urn:nbn:se:mdh:diva-46919 (URN)10.1016/j.apenergy.2019.113972 (DOI)000506574700001 ()
Available from: 2020-01-31 Created: 2020-01-31 Last updated: 2020-01-31Bibliographically approved
Campana, P. E., Landelius, T., Andersson, S., Lundström, L., Nordlander, E., He, T., . . . Yan, J. (2020). A gridded optimization model for photovoltaic applications. Solar Energy, 202, 465-484
Open this publication in new window or tab >>A gridded optimization model for photovoltaic applications
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2020 (English)In: Solar Energy, ISSN 0038-092X, E-ISSN 1471-1257, Vol. 202, p. 465-484Article in journal (Refereed) Published
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.

Place, publisher, year, edition, pages
Elsevier Ltd, 2020
National Category
Energy Systems
Identifiers
urn:nbn:se:mdh:diva-47529 (URN)10.1016/j.solener.2020.03.076 (DOI)000528209300040 ()2-s2.0-85082930947 (Scopus ID)
Available from: 2020-04-16 Created: 2020-04-16 Last updated: 2020-06-04Bibliographically approved
Chen, S., Kharrazi, A., Liang, S., Fath, B. D., Lenzen, M. & Yan, J. (2020). Advanced approaches and applications of energy footprints toward the promotion of global sustainability. Applied Energy, 261, Article ID 114415.
Open this publication in new window or tab >>Advanced approaches and applications of energy footprints toward the promotion of global sustainability
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2020 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 261, article id 114415Article in journal (Refereed) Published
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. 

Place, publisher, year, edition, pages
Elsevier Ltd, 2020
Keywords
Energy footprint, Global sustainability, Life-cycle perspective, Sustainable Development Goals
National Category
Energy Engineering
Identifiers
urn:nbn:se:mdh:diva-46688 (URN)10.1016/j.apenergy.2019.114415 (DOI)000515117500079 ()2-s2.0-85077054444 (Scopus ID)
Available from: 2020-01-09 Created: 2020-01-09 Last updated: 2020-04-23Bibliographically approved
Si, P., Lv, Y., Rong, X., Shi, L., Yan, J. & Wang, X. (2020). An innovative building envelope with variable thermal performance for passive heating systems. Applied Energy, 269, Article ID 115175.
Open this publication in new window or tab >>An innovative building envelope with variable thermal performance for passive heating systems
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2020 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 269, article id 115175Article in journal (Refereed) Published
Abstract [en]

The integration of passive solar heating strategies into the existing buildings has been considered as an innovative and effective approach to mitigate energy and environmental issues. To balance the trade-off between solar heat gain and thermal insulation in traditional passive solar systems, this paper presented an innovative envelope with variable thermal performance for passive solar buildings. Field measurement was carried out to validate the feasibility of the transparent building envelope under step control operation strategy to building comfortable indoor environment especially in cold plateau areas. The experimental results show that, even under harsh climate conditions, the application of the proposed building envelope effectively increases the heat gain and maintains indoor temperature at a relatively comfortable level in the studied case. The average indoor air temperature of the studied rooms is at 13.0–14.0 °C, with the highest temperature up to 21 °C. Numerical simulation by DesignBuilder software was further developed to exploit the efficiency of the proposed building envelope under the step control operation strategy for increasing the indoor temperature. The simulation results show the same tendency with the filed measurement results. The operation strategy of opening indoor window at 10:00 am and closing at 5:00 pm can achieve the maximization of solar gain, significantly increasing the indoor temperature. Attributed to good balance between solar heat gain coefficient and thermal resistance, the average temperature of the room with the proposed envelope mode is 2.0 °C (sunny day) and 1.5 °C (cloudy day) higher than that of another three passive solar envelope operation modes, respectively. In general, the proposed building envelope with variable thermal performance has high potential to improve the indoor thermal environment in cold plateau areas at low cost. © 2020 Elsevier Ltd

Place, publisher, year, edition, pages
Elsevier Ltd, 2020
Keywords
Passive solar building, Renewable energy, Solar heat gain coefficient, Thermal resistance, Variable thermal performance, Computer software, Economic and social effects, Heat resistance, Solar buildings, Solar heating, Space heating, Effective approaches, Environmental issues, Highest temperature, Indoor air temperature, Indoor thermal environments, Passive solar systems, Thermal Performance, Thermal insulation
National Category
Other Engineering and Technologies
Identifiers
urn:nbn:se:mdh:diva-48056 (URN)10.1016/j.apenergy.2020.115175 (DOI)2-s2.0-85084631533 (Scopus ID)
Available from: 2020-05-28 Created: 2020-05-28 Last updated: 2020-05-28Bibliographically approved
Peng, J., Yan, J., Zhai, Z., Markides, C. N., Lee, E. S., Eicker, U., . . . Taylor, R. A. (2020). Solar energy integration in buildings. Applied Energy, 264, Article ID 114740.
Open this publication in new window or tab >>Solar energy integration in buildings
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2020 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 264, article id 114740Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Elsevier Ltd, 2020
National Category
Energy Engineering
Identifiers
urn:nbn:se:mdh:diva-47385 (URN)10.1016/j.apenergy.2020.114740 (DOI)2-s2.0-85081404281 (Scopus ID)
Available from: 2020-03-19 Created: 2020-03-19 Last updated: 2020-03-19Bibliographically approved
Pan, G., Wei, X., Yu, C., Lu, Y., Li, J., Ding, J., . . . Yan, J. (2020). Thermal performance of a binary carbonate molten eutectic salt for high-temperature energy storage applications. Applied Energy, 262, Article ID 114418.
Open this publication in new window or tab >>Thermal performance of a binary carbonate molten eutectic salt for high-temperature energy storage applications
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2020 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 262, article id 114418Article in journal (Refereed) Published
Abstract [en]

Molten carbonate eutectic salts are promising thermal storage and heat transfer fluid materials in solar thermal power plant with the feature of large specific heat capacity, wide operating temperature range and little corrosive. The high-temperature properties of molten carbonates should be determined accurately over the entire operating temperature for energy system design. In this paper, molecular dynamic simulation is used to study temperature and component dependence of microstructures and thermophysical properties of the binary carbonate molten salt. Negative linear temperature dependence of densities and thermal conductivities of binary mixtures of different components is confirmed with respect to the distances of ion clusters. Besides, positive linear temperature dependence of self-diffusion coefficient is also obtained. When temperature is constant, densities and thermal conductivities of binary mixtures are linearly related with components. Self-diffusion coefficients of CO32− firstly increase and then decrease with increasing mole fraction of Na2CO3. The temperature-thermophysical properties-composition correlation formulas are obtained, and the database of thermophysical properties of molten carbonate salts over the entire operating temperature is complemented, which will provide the essential data for heat transfer and storage system design, operation, and optimization in CSP.

Place, publisher, year, edition, pages
Elsevier Ltd, 2020
Keywords
Concentrating solar power, Energy storage, Microstructures, Molten carbonates, Thermophysical properties, Binary mixtures, Carbonates, Carbonation, Diffusion in liquids, Digital storage, Eutectics, Fluid Power, Heat storage, Heat transfer, High temperature applications, Microstructure, Molecular dynamics, Molten materials, Salts, Sodium Carbonate, Sodium compounds, Solar energy, Specific heat, Storage (materials), Systems analysis, Temperature distribution, Thermodynamic properties, Thermoelectric power plants, Energy storage applications, Linear temperature dependence, Molten carbonate, Molten carbonate salts, Operating temperature ranges, Self-diffusion coefficients, Solar thermal power plants, Thermal conductivity
National Category
Energy Engineering
Identifiers
urn:nbn:se:mdh:diva-47103 (URN)10.1016/j.apenergy.2019.114418 (DOI)000517398200108 ()2-s2.0-85079130336 (Scopus ID)
Available from: 2020-02-21 Created: 2020-02-21 Last updated: 2020-03-26Bibliographically approved
Salman, C. A., Thorin, E. & Yan, J. (2020). Uncertainty and influence of input parameters and assumptions on the design and analysis of thermochemical waste conversion processes: A stochastic approach. Energy Conversion and Management, 214, Article ID 112867.
Open this publication in new window or tab >>Uncertainty and influence of input parameters and assumptions on the design and analysis of thermochemical waste conversion processes: A stochastic approach
2020 (English)In: Energy Conversion and Management, ISSN 0196-8904, E-ISSN 1879-2227, Vol. 214, article id 112867Article in journal (Refereed) Published
Abstract [en]

Process design is a challenging task for researchers and engineers. Incomplete information and variation in input data affect the outputs and reliability of key performance indicators (KPIs) of the designed process. The efficient utilization of waste is becoming increasingly important, and researchers use simulation and modelling tools for design and assessment of waste conversion processes. The complex nature of modelling of waste conversion processes and uncertainty of technical and financial data result in substantial variation in the KPIs of the designed process. In this study, we identified the critical parameters and assumptions that cause uncertainty in the process design analysis of waste-to-biofuels conversions. We used a stochastic modelling approach to address these methodological challenges and performed Monte Carlo simulations on waste-to-biofuel processes. The identified uncertain parameters and inputs were varied for a whole year with a one-minute time step. Different thermochemical conversion pathways were modelled by varying uncertain inputs and assumptions over the year by applying Monte Carlo simulations. Variations in the system's technical and economic KPIs were observed and compared. The results show that the heterogeneous nature of waste is a highly sensitive parameter, and a small change in its elemental analysis varies the technical performance significantly. Similarly, operating hours, plant size, capital investment, waste, and biofuel price are also very influential parameters on process design. Furthermore, the feasibility of waste-to-biofuel systems depends largely on how researchers and engineers select these parameters. Overall, the results reveal that by including the uncertainty of input parameters and assumptions in process design, the biases in results could be addressed transparently, making the overall assessment more reliable. 

Place, publisher, year, edition, pages
Elsevier Ltd, 2020
Keywords
Chemical process reliability, Monte Carlo simulations, Stochastic analysis, Waste-to-biofuel
National Category
Energy Engineering
Identifiers
urn:nbn:se:mdh:diva-47907 (URN)10.1016/j.enconman.2020.112867 (DOI)2-s2.0-85083887392 (Scopus ID)
Available from: 2020-05-07 Created: 2020-05-07 Last updated: 2020-05-07Bibliographically approved
Yan, J. & Zhang, Z. (2019). Carbon Capture, Utilization and Storage (CCUS). Applied Energy, 235, 1289-1299
Open this publication in new window or tab >>Carbon Capture, Utilization and Storage (CCUS)
2019 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 235, p. 1289-1299Article in journal, Editorial material (Refereed) Published
Place, publisher, year, edition, pages
Elsevier Ltd, 2019
National Category
Energy Engineering
Identifiers
urn:nbn:se:mdh:diva-41438 (URN)10.1016/j.apenergy.2018.11.019 (DOI)000458942800104 ()2-s2.0-85056879138 (Scopus ID)
Available from: 2018-11-29 Created: 2018-11-29 Last updated: 2019-03-14Bibliographically approved
Zhang, C., Campana, P. E., Liu, C., Wang, K. & Yan, J. (2019). Crowdfunding preferences for a sustainable milk product with integrated photovoltaic water pumping system in China. Applied Energy, 255, Article ID 113694.
Open this publication in new window or tab >>Crowdfunding preferences for a sustainable milk product with integrated photovoltaic water pumping system in China
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2019 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 255, article id 113694Article in journal (Refereed) Published
Abstract [en]

This paper studies the role of potential investors in financing renewable energy systems—specifically, relating to crowdfunding as a financing mechanism, with the enhancement of internet and social-media tools. The research question in this study is whether crowdfunding with a novel socio-technical product reward program attracts potential customers to a more sustainable milk product with a specific integrated photovoltaic water pumping (PVWP) system. The particular case study we empirically investigated is product reward crowdfunding in dairy milk production in China. The milk production chain was supplied by PVWP system integration, which generated solar energy both for feed production for dairy cows and for the operation of dairy farms. 48 semi-structured in-depth interviews were conducted between the research team and customers in order to perform qualitative analyses of the determinants of customers’ milk purchase behaviors. In addition, 357 online surveys were collected for quantitative analysis. Binary and ordered probit regressions were employed to use survey date to systematically estimate purchase intention and willingness-to-pay for sustainable milk. Customer behaviors, environmental consciousness, and individual socio-demographic factors were investigated as potential explanatory variables. Over 82% of the survey participants showed intentions to purchase the sustainable milk with the PVWP system. In the survey and interview samples, results showed that milk quality, nutrition improvement, emissions reduction, and environmental benefits attributed to the integrated PVWP system were the major factors considered by interviewees who showed intentions to purchase the crowdfunded dairy milk. Regression model results suggested that potential customers with higher income levels, and those of parenting age, and those with young children or planning to have children, had a higher willingness-to-pay than other customers for the crowdfunded sustainable dairy milk. The familiarity with and popularity of online shopping and pre-sale purchases in China made customers more open to and proactive towards pre-pay and crowdfunding mechanisms. This article evaluated key factors which may influence potential customers for crowdfunding, and used a discrete choice model to estimate customers’ willingness-to-pay for reward-based projects. These results could help producers of sustainable milk products to identify potential target groups in China and estimate market demand. This exploratory study could provide a framework with both quantitative and qualitative assessment of crowdfunding for renewable energy systems in a national or international context. 

Place, publisher, year, edition, pages
Elsevier Ltd, 2019
National Category
Energy Systems
Identifiers
urn:nbn:se:mdh:diva-45257 (URN)10.1016/j.apenergy.2019.113694 (DOI)000497978100009 ()2-s2.0-85071887585 (Scopus ID)
Available from: 2019-09-19 Created: 2019-09-19 Last updated: 2019-12-19Bibliographically approved
Jin, M., Jain, R., Spanos, C., Jia, Q., Norford, L. K., Kjaergaard, M. & Yan, J. (2019). Energy-cyber-physical systems. Applied Energy, 256, Article ID UNSP 113939.
Open this publication in new window or tab >>Energy-cyber-physical systems
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2019 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 256, article id UNSP 113939Article in journal, Editorial material (Other academic) Published
Place, publisher, year, edition, pages
ELSEVIER SCI LTD, 2019
National Category
Energy Engineering
Identifiers
urn:nbn:se:mdh:diva-46326 (URN)10.1016/j.apenergy.2019.113939 (DOI)000497981300051 ()
Available from: 2019-12-13 Created: 2019-12-13 Last updated: 2019-12-13Bibliographically approved
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ORCID iD: ORCID iD iconorcid.org/0000-0003-0300-0762

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