mdh.sePublications
Change search
Link to record
Permanent link

Direct link
BETA
Campana, Pietro EliaORCID iD iconorcid.org/0000-0002-1351-9245
Alternative names
Publications (10 of 74) Show all publications
Campana, P. E., Wästhage, L., Nookuea, W., Tan, Y. & Yan, J. (2019). Optimization and assessment of floating and floating-tracking PV systems integrated in on- and off-grid hybrid energy systems. Solar Energy, 177, 782-795
Open this publication in new window or tab >>Optimization and assessment of floating and floating-tracking PV systems integrated in on- and off-grid hybrid energy systems
Show others...
2019 (English)In: Solar Energy, ISSN 0038-092X, E-ISSN 1471-1257, Vol. 177, p. 782-795Article in journal (Refereed) Published
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.

Place, publisher, year, edition, pages
Elsevier Ltd, 2019
Keywords
Floating photovoltaics, Optimization, Shrimp farming, Thailand
National Category
Energy Engineering
Identifiers
urn:nbn:se:mdh:diva-41773 (URN)10.1016/j.solener.2018.11.045 (DOI)000456222500077 ()2-s2.0-85057745302 (Scopus ID)
Available from: 2018-12-20 Created: 2018-12-20 Last updated: 2019-02-07Bibliographically approved
Benavente, F., Lundblad, A., Campana, P. E., Zhang, Y., Cabrera, S. & Lindbergh, G. (2019). Photovoltaic/battery system sizing for rural electrification in Bolivia: Considering the suppressed demand effect. Applied Energy, 235, 519-528
Open this publication in new window or tab >>Photovoltaic/battery system sizing for rural electrification in Bolivia: Considering the suppressed demand effect
Show others...
2019 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 235, p. 519-528Article in journal (Refereed) Published
Abstract [en]

Rural electrification programs usually do not consider the impact that the increment of demand has on the reliability of off-grid photovoltaic (PV)/battery systems. Based on meteorological data and electricity consumption profiles from the highlands of Bolivian Altiplano, this paper presents a modelling and simulation framework for analysing the performance and reliability of such systems. Reliability, as loss of power supply probability (LPSP), and cost were calculated using simulated PV power output and battery state of charge profiles. The effect of increasing the suppressed demand (SD) by 20% and 50% was studied to determine how reliable and resilient the system designs are. Simulations were performed for three rural application scenarios: a household, a school, and a health centre. Results for the household and school scenarios indicate that, to overcome the SD effect, it is more cost-effective to increase the PV power rather than to increase the battery capacity. However, with an increased PV-size, the battery ageing rate would be higher since the cycles are performed at high state of charge (SOC). For the health centre application, on the other hand, an increase in battery capacity prevents the risk of electricity blackouts while increasing the energy reliability of the system. These results provide important insights for the application design of off-grid PV-battery systems in rural electrification projects, enabling a more efficient and reliable source of electricity.

Place, publisher, year, edition, pages
Elsevier Ltd, 2019
National Category
Energy Engineering
Identifiers
urn:nbn:se:mdh:diva-42422 (URN)10.1016/j.apenergy.2018.10.084 (DOI)000458942800043 ()2-s2.0-85056217184 (Scopus ID)
Available from: 2019-01-25 Created: 2019-01-25 Last updated: 2019-03-14Bibliographically approved
Zhang, C., Campana, P. E., Liu, C., Wang, K., Zhang, Y. & Yan, J. (2019). Purchase Intention for Crowd-funded Milk Products with Integrated Photovoltaic Water Pumping Systems in China. In: Energy Procedia: . Paper presented at Applied Energy Symposium and Forum, Renewable Energy Integration with Mini/Microgrids, REM 2018, 29–30 September 2018, Rhodes, Greece (pp. 503-508). Elsevier Ltd, 159
Open this publication in new window or tab >>Purchase Intention for Crowd-funded Milk Products with Integrated Photovoltaic Water Pumping Systems in China
Show others...
2019 (English)In: Energy Procedia, Elsevier Ltd , 2019, Vol. 159, p. 503-508Conference paper, Published paper (Refereed)
Abstract [en]

In comparison with current financing mechanisms for renewable energy systems, crowd-funding financing mechanism offers a new potential source of financing with recent use of social media. Crowd-funding financing mechanism can also increases the social supports for renewable energy systems as users and investors turn to be more actively engaged in energy systems. As a new potential source of financing, crowd-funding mechanism has different forms, including donation, lending, equity and product reward approaches. In this paper, discrete choice model was used to explore whether crowd-funding financing with a novel sociotechnical product reward practice, has the attractions for potential customers to pay for a more sustainable milk product with distributed photovoltaic (PV) system. We empirically investigated the reward-base crowd funding with the specific integrated photovoltaic water pumping (PVWP) system in dairy milk production in China. 48 in-depth interviews were adopted for qualitative analysis of determinants of customer milk purchase decision. The ordered probit regression was employed with 357 online surveys to systematically estimate the purchase intention for the online-crowd-funding sustainable milk. Customer behaviours, environmental consciousness, and the individual socio-demographic factors were tested as potential explanatory variables. In the survey and depth interview samples, we found interviewees as potential customers showed strong purchase intentions to the crowd funding dairy milk for noticing milk quality and nutritious improvement, emission reduction and environmental benefits by the integrated PVWP system. In our findings of the regression results, the females, customers with young children or planning to have children were found with higher willing to purchase than other customers for crowd funding the sustainable dairy milk. The familiarity and popularity with online shopping and pre-sale purchase in China made customers more open and active towards pre-pay and crowd-funding mechanism.

Place, publisher, year, edition, pages
Elsevier Ltd, 2019
Keywords
Binary probit regression, Crowd-funding, Dairy milk in China, Discrete choice model, Photovoltaic water pumping
National Category
Civil Engineering
Identifiers
urn:nbn:se:mdh:diva-43145 (URN)10.1016/j.egypro.2018.12.008 (DOI)2-s2.0-85063770378 (Scopus ID)
Conference
Applied Energy Symposium and Forum, Renewable Energy Integration with Mini/Microgrids, REM 2018, 29–30 September 2018, Rhodes, Greece
Note

Export Date: 18 April 2019; Conference Paper; Correspondence Address: Zhang, C.; School of Chemical Science and Engineering, Royal Institute of TechnologySweden; email: chz@kth.se

Available from: 2019-04-18 Created: 2019-04-18 Last updated: 2019-04-18
Yan, J., Kaldellis, P. J. & Campana, P. E. (2019). REM2018: Renewable Energy Integration with Mini/Microgrid. Energy Procedia, 159
Open this publication in new window or tab >>REM2018: Renewable Energy Integration with Mini/Microgrid
2019 (English)In: Energy Procedia, ISSN 1876-6102, E-ISSN 1876-6102, Vol. 159Article in journal, Editorial material (Other academic) Published
Place, publisher, year, edition, pages
Elsevier Ltd, 2019
National Category
Other Engineering and Technologies
Identifiers
urn:nbn:se:mdh:diva-43134 (URN)10.1016/j.egypro.2018.12.020 (DOI)2-s2.0-85063772278 (Scopus ID)
Note

Export Date: 18 April 2019; Editorial

Available from: 2019-04-18 Created: 2019-04-18 Last updated: 2019-04-18
Jurasz, J. & Campana, P. E. (2019). The potential of photovoltaic systems to reduce energy costs for office buildings in time-dependent and peak-load-dependent tariffs. Sustainable cities and society, 44, 871-879
Open this publication in new window or tab >>The potential of photovoltaic systems to reduce energy costs for office buildings in time-dependent and peak-load-dependent tariffs
2019 (English)In: Sustainable cities and society, ISSN 2210-6707, Vol. 44, p. 871-879Article in journal (Refereed) Published
Abstract [en]

Electrical power generation across the world is facing dramatic changes for a variety of reasons related to reliability, economics and environmental concerns. Over recent years a significant increase has been observed in installed capacity of photovoltaic systems. Due to their typical seasonal and diurnal energy conversion patterns their integration into power systems creates new opportunities as well as threats. This paper intends to show how photovoltaics can contribute to reducing peak load in office buildings and thereby minimise expenditure on electricity during time- and peak-load-dependent energy prices/tariffs. An additional benefit is also provided to the national power system by reducing the need for peaking power stations. The calculations are performed for energy tariffs commonly used for commercial buildings in Poland. The simulation relies on climatic and price data for 2016. The results show significant potential for photovoltaics to reduce the peak load (from almost 60 kW to slightly over 44 kW) whilst simultaneously minimising energy costs to the building (from 1.2% up to 5.8% depending on the selected tariff). This study demonstrates the economic benefits of using PV system for reducing peak loads. A sensitivity analysis with regard to photovoltaics investment costs is carried out showing that the increasing investment costs have different impact on total energy cost depending on the considered energy tariff.

Place, publisher, year, edition, pages
Elsevier Ltd, 2019
Keywords
Energy tariff, Integration, Peak shaving, Renewable energy, Cost reduction, Economics, Energy conversion, Investments, Office buildings, Photovoltaic cells, Renewable energy resources, Sensitivity analysis, Commercial building, Electrical power generation, Environmental concerns, National power systems, Photovoltaic systems, Renewable energies, Cost benefit analysis
National Category
Energy Engineering
Identifiers
urn:nbn:se:mdh:diva-41439 (URN)10.1016/j.scs.2018.10.048 (DOI)000451754200069 ()2-s2.0-85056757149 (Scopus ID)
Available from: 2018-11-29 Created: 2018-11-29 Last updated: 2019-01-16Bibliographically approved
Campana, P. E., Cioccolanti, L., François, B., Jurasz, J., Zhang, Y., Stridh, B. & Yan, J. (2018). A Multi-Country Economic Analysis Of Lithium-Ion Batteries For Peak Shaving And Price Arbitrage In Commercial Buildings. In: : . Paper presented at 10th International Conference on Applied Energy (ICAE2018).
Open this publication in new window or tab >>A Multi-Country Economic Analysis Of Lithium-Ion Batteries For Peak Shaving And Price Arbitrage In Commercial Buildings
Show others...
2018 (English)Conference paper, Published paper (Refereed)
National Category
Energy Engineering
Identifiers
urn:nbn:se:mdh:diva-41688 (URN)
Conference
10th International Conference on Applied Energy (ICAE2018)
Available from: 2018-12-18 Created: 2018-12-18 Last updated: 2018-12-20Bibliographically approved
Prabaharan, N., Campana, P. E., Jerin, A. & Palanisamy, K. (2018). A new approach for grid integration of solar photovoltaic system with maximum power point tracking using multi‐output converter. In: : . Paper presented at Renewable Energy Integration with Mini/Microgrid REM2018.
Open this publication in new window or tab >>A new approach for grid integration of solar photovoltaic system with maximum power point tracking using multi‐output converter
2018 (English)Conference paper, Published paper (Refereed)
National Category
Energy Engineering
Identifiers
urn:nbn:se:mdh:diva-41681 (URN)
Conference
Renewable Energy Integration with Mini/Microgrid REM2018
Available from: 2018-12-18 Created: 2018-12-18 Last updated: 2018-12-21Bibliographically approved
Zhang, Y., Campana, P. E., Anders, L., Zhang, C. & Yan, J. (2018). Building Energy System: From System Planning To Operation. In: : . Paper presented at Renewable Energy Integration with Mini/Microgrid REM2018.
Open this publication in new window or tab >>Building Energy System: From System Planning To Operation
Show others...
2018 (English)Conference paper, Oral presentation with published abstract (Refereed)
National Category
Energy Engineering
Identifiers
urn:nbn:se:mdh:diva-41682 (URN)
Conference
Renewable Energy Integration with Mini/Microgrid REM2018
Available from: 2018-12-18 Created: 2018-12-18 Last updated: 2018-12-21Bibliographically approved
Zhang, C., Campana, P. E., Liu, C., Zhang, Y., Yan, J. & Wang, K. (2018). Choice Preferences And Willingness‐To‐Pay For Crowd‐Funding With Integrated Photovoltaic Water Pumping System In Dairy Milk Production In China. In: : . Paper presented at Renewable Energy Integration with Mini/Microgrid REM2018, Rhodes, Greece, September 28-30, 2018.
Open this publication in new window or tab >>Choice Preferences And Willingness‐To‐Pay For Crowd‐Funding With Integrated Photovoltaic Water Pumping System In Dairy Milk Production In China
Show others...
2018 (English)Conference paper, Published paper (Refereed)
National Category
Energy Engineering
Identifiers
urn:nbn:se:mdh:diva-41687 (URN)
Conference
Renewable Energy Integration with Mini/Microgrid REM2018, Rhodes, Greece, September 28-30, 2018
Available from: 2018-12-18 Created: 2018-12-18 Last updated: 2018-12-21Bibliographically approved
Zhang, C., Campana, P. E., Yang, J., Yu, C. & Yan, J. (2018). Economic assessment of photovoltaic water pumping integration with dairy milk production. Energy Conversion and Management, 177, 750-764
Open this publication in new window or tab >>Economic assessment of photovoltaic water pumping integration with dairy milk production
Show others...
2018 (English)In: Energy Conversion and Management, ISSN 0196-8904, E-ISSN 1879-2227, Vol. 177, p. 750-764Article in journal (Refereed) Published
Abstract [en]

As dairy consumption grows, domestic dairy farms face challenges in reducing the cost of feeds and the production of high-quality milk for market demands. This paper aims to introduce and integrate solar energy into the milk production chain to investigate its economic performance. By collecting data on milk production processes from 11 dairy farms in China, we quantified electricity usage and costs of milk production to identify the best and worst cases. Crop yields response to the water demand and the electricity requirements of the dairy farms were considered. The study simulated scenarios of self-sufficiency at 20%, 80%, and 100%, in the identified farms by integrating a photovoltaic water pumping (PVWP) system to provide both power and water for alfalfa and other feeds’ irrigation and subsequent milk production. We evaluated annual discounted cost, revenue and net profit under each scenario and case. The results showed that a dairy farm with an integrated PVWP system and self-sufficient feeds would lead to value add-ins, such as electricity saving with solar energy generation, economic cost saving of crops, and CO2 emission reduction. The analysis on return on investment (ROI) and internal rate of return (IRR) revealed that not all the self-sufficient feeds can bring positive marginal profit. Among the investigated scenarios and cases, the dairy farm marked out by the highest ROI with 3.12 and IRR with 20.4%, was the farm where the integrated PVWP system was used to reach 20% self-sufficiency (self-production of only alfalfa). The other scenarios and cases with higher levels of self-sufficiency showed lower ROIs and IRRs. This indicates that high self-production levels of feeds decrease the total profit due to high investment cost. Sensitivity analyses of crop price and operational cost were conducted for ROI with single and double factor approaches. Scale and production of feeds proportions should be carefully considered in improving the economic performance of dairy milk production.

Place, publisher, year, edition, pages
Elsevier Ltd, 2018
Keywords
China, Economic assessment, Milk productivity, Photovoltaic water pumping, Solar power
National Category
Energy Systems
Identifiers
urn:nbn:se:mdh:diva-41231 (URN)10.1016/j.enconman.2018.09.060 (DOI)000451356300058 ()2-s2.0-85054681599 (Scopus ID)
Available from: 2018-10-26 Created: 2018-10-26 Last updated: 2019-01-16Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-1351-9245

Search in DiVA

Show all publications