Economic analysis of rooftop photovoltaics system under different shadowing conditions for 20 cities in China
Abstract Installing photovoltaic (PV) systems is an essential step for low-carbon development. The economics of PV systems are strongly impacted by the electricity price and the shadowing effect from neighboring buildings. This study evaluates the PV generation potential and economics of 20 cities i...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Ren, Zhiyi [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Anmerkung: |
© Tsinghua University Press 2023 |
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| Übergeordnetes Werk: |
Enthalten in: Building simulation - Beijing : Tsinghua Press, 2008, 17(2023), 2 vom: 17. Okt., Seite 235-252 |
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| Übergeordnetes Werk: |
volume:17 ; year:2023 ; number:2 ; day:17 ; month:10 ; pages:235-252 |
| Links: |
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| DOI / URN: |
10.1007/s12273-023-1082-5 |
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SPR05443713X |
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| 520 | |a Abstract Installing photovoltaic (PV) systems is an essential step for low-carbon development. The economics of PV systems are strongly impacted by the electricity price and the shadowing effect from neighboring buildings. This study evaluates the PV generation potential and economics of 20 cities in China under three shadowing conditions. First, the building geometry models under three shadowing conditions for the 20 cities were constructed using QGIS. Then, 60 building models with PV systems and shadows from surrounding buildings were generated by City Buildings, Energy, and Sustainability (CityBES), an open platform, to simulate the PV power generation. Finally, the study presented one economic analysis model to evaluate the profitability by combining the market cost of rooftop PV systems and electricity prices in China. The economic model included four indicators: payback period (static and dynamic), net present value (NPV), and internal rate of return (IRR). The results show that the reduction of PV power generation ranges from 8.29% to 16.01% under medium shadowing, and experiences a maximum decrease of up to 39.71% under high shadowing. Further economic analysis shows that almost all the regions show reliable potential, obtaining an IRR higher than the reference value (5%). Nenjiang has the highest economic profit, with the highest NPV (86,181.15 RMB) and IRR (30.14%) under no shadowing among 20 cities. It also should be mentioned that the alignment between electricity price distribution and the solar power generation curve will directly impact the economic potential of PV systems. | ||
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| 700 | 1 | |a Xu, Anni |4 aut | |
| 700 | 1 | |a Zhang, Qilin |4 aut | |
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10.1007/s12273-023-1082-5 doi (DE-627)SPR05443713X (SPR)s12273-023-1082-5-e DE-627 ger DE-627 rakwb eng Ren, Zhiyi verfasserin aut Economic analysis of rooftop photovoltaics system under different shadowing conditions for 20 cities in China 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Tsinghua University Press 2023 Abstract Installing photovoltaic (PV) systems is an essential step for low-carbon development. The economics of PV systems are strongly impacted by the electricity price and the shadowing effect from neighboring buildings. This study evaluates the PV generation potential and economics of 20 cities in China under three shadowing conditions. First, the building geometry models under three shadowing conditions for the 20 cities were constructed using QGIS. Then, 60 building models with PV systems and shadows from surrounding buildings were generated by City Buildings, Energy, and Sustainability (CityBES), an open platform, to simulate the PV power generation. Finally, the study presented one economic analysis model to evaluate the profitability by combining the market cost of rooftop PV systems and electricity prices in China. The economic model included four indicators: payback period (static and dynamic), net present value (NPV), and internal rate of return (IRR). The results show that the reduction of PV power generation ranges from 8.29% to 16.01% under medium shadowing, and experiences a maximum decrease of up to 39.71% under high shadowing. Further economic analysis shows that almost all the regions show reliable potential, obtaining an IRR higher than the reference value (5%). Nenjiang has the highest economic profit, with the highest NPV (86,181.15 RMB) and IRR (30.14%) under no shadowing among 20 cities. It also should be mentioned that the alignment between electricity price distribution and the solar power generation curve will directly impact the economic potential of PV systems. rooftop photovoltaic system (dpeaa)DE-He213 EnergyPlus (dpeaa)DE-He213 economic analysis (dpeaa)DE-He213 shadowing buildings (dpeaa)DE-He213 electric price (dpeaa)DE-He213 Chen, Yixing aut Song, Chengcheng aut Liu, Mengyue aut Xu, Anni aut Zhang, Qilin aut Enthalten in Building simulation Beijing : Tsinghua Press, 2008 17(2023), 2 vom: 17. Okt., Seite 235-252 (DE-627)564750867 (DE-600)2422327-X 1996-8744 nnns volume:17 year:2023 number:2 day:17 month:10 pages:235-252 https://dx.doi.org/10.1007/s12273-023-1082-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 17 2023 2 17 10 235-252 |
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10.1007/s12273-023-1082-5 doi (DE-627)SPR05443713X (SPR)s12273-023-1082-5-e DE-627 ger DE-627 rakwb eng Ren, Zhiyi verfasserin aut Economic analysis of rooftop photovoltaics system under different shadowing conditions for 20 cities in China 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Tsinghua University Press 2023 Abstract Installing photovoltaic (PV) systems is an essential step for low-carbon development. The economics of PV systems are strongly impacted by the electricity price and the shadowing effect from neighboring buildings. This study evaluates the PV generation potential and economics of 20 cities in China under three shadowing conditions. First, the building geometry models under three shadowing conditions for the 20 cities were constructed using QGIS. Then, 60 building models with PV systems and shadows from surrounding buildings were generated by City Buildings, Energy, and Sustainability (CityBES), an open platform, to simulate the PV power generation. Finally, the study presented one economic analysis model to evaluate the profitability by combining the market cost of rooftop PV systems and electricity prices in China. The economic model included four indicators: payback period (static and dynamic), net present value (NPV), and internal rate of return (IRR). The results show that the reduction of PV power generation ranges from 8.29% to 16.01% under medium shadowing, and experiences a maximum decrease of up to 39.71% under high shadowing. Further economic analysis shows that almost all the regions show reliable potential, obtaining an IRR higher than the reference value (5%). Nenjiang has the highest economic profit, with the highest NPV (86,181.15 RMB) and IRR (30.14%) under no shadowing among 20 cities. It also should be mentioned that the alignment between electricity price distribution and the solar power generation curve will directly impact the economic potential of PV systems. rooftop photovoltaic system (dpeaa)DE-He213 EnergyPlus (dpeaa)DE-He213 economic analysis (dpeaa)DE-He213 shadowing buildings (dpeaa)DE-He213 electric price (dpeaa)DE-He213 Chen, Yixing aut Song, Chengcheng aut Liu, Mengyue aut Xu, Anni aut Zhang, Qilin aut Enthalten in Building simulation Beijing : Tsinghua Press, 2008 17(2023), 2 vom: 17. Okt., Seite 235-252 (DE-627)564750867 (DE-600)2422327-X 1996-8744 nnns volume:17 year:2023 number:2 day:17 month:10 pages:235-252 https://dx.doi.org/10.1007/s12273-023-1082-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 17 2023 2 17 10 235-252 |
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10.1007/s12273-023-1082-5 doi (DE-627)SPR05443713X (SPR)s12273-023-1082-5-e DE-627 ger DE-627 rakwb eng Ren, Zhiyi verfasserin aut Economic analysis of rooftop photovoltaics system under different shadowing conditions for 20 cities in China 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Tsinghua University Press 2023 Abstract Installing photovoltaic (PV) systems is an essential step for low-carbon development. The economics of PV systems are strongly impacted by the electricity price and the shadowing effect from neighboring buildings. This study evaluates the PV generation potential and economics of 20 cities in China under three shadowing conditions. First, the building geometry models under three shadowing conditions for the 20 cities were constructed using QGIS. Then, 60 building models with PV systems and shadows from surrounding buildings were generated by City Buildings, Energy, and Sustainability (CityBES), an open platform, to simulate the PV power generation. Finally, the study presented one economic analysis model to evaluate the profitability by combining the market cost of rooftop PV systems and electricity prices in China. The economic model included four indicators: payback period (static and dynamic), net present value (NPV), and internal rate of return (IRR). The results show that the reduction of PV power generation ranges from 8.29% to 16.01% under medium shadowing, and experiences a maximum decrease of up to 39.71% under high shadowing. Further economic analysis shows that almost all the regions show reliable potential, obtaining an IRR higher than the reference value (5%). Nenjiang has the highest economic profit, with the highest NPV (86,181.15 RMB) and IRR (30.14%) under no shadowing among 20 cities. It also should be mentioned that the alignment between electricity price distribution and the solar power generation curve will directly impact the economic potential of PV systems. rooftop photovoltaic system (dpeaa)DE-He213 EnergyPlus (dpeaa)DE-He213 economic analysis (dpeaa)DE-He213 shadowing buildings (dpeaa)DE-He213 electric price (dpeaa)DE-He213 Chen, Yixing aut Song, Chengcheng aut Liu, Mengyue aut Xu, Anni aut Zhang, Qilin aut Enthalten in Building simulation Beijing : Tsinghua Press, 2008 17(2023), 2 vom: 17. Okt., Seite 235-252 (DE-627)564750867 (DE-600)2422327-X 1996-8744 nnns volume:17 year:2023 number:2 day:17 month:10 pages:235-252 https://dx.doi.org/10.1007/s12273-023-1082-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 17 2023 2 17 10 235-252 |
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10.1007/s12273-023-1082-5 doi (DE-627)SPR05443713X (SPR)s12273-023-1082-5-e DE-627 ger DE-627 rakwb eng Ren, Zhiyi verfasserin aut Economic analysis of rooftop photovoltaics system under different shadowing conditions for 20 cities in China 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Tsinghua University Press 2023 Abstract Installing photovoltaic (PV) systems is an essential step for low-carbon development. The economics of PV systems are strongly impacted by the electricity price and the shadowing effect from neighboring buildings. This study evaluates the PV generation potential and economics of 20 cities in China under three shadowing conditions. First, the building geometry models under three shadowing conditions for the 20 cities were constructed using QGIS. Then, 60 building models with PV systems and shadows from surrounding buildings were generated by City Buildings, Energy, and Sustainability (CityBES), an open platform, to simulate the PV power generation. Finally, the study presented one economic analysis model to evaluate the profitability by combining the market cost of rooftop PV systems and electricity prices in China. The economic model included four indicators: payback period (static and dynamic), net present value (NPV), and internal rate of return (IRR). The results show that the reduction of PV power generation ranges from 8.29% to 16.01% under medium shadowing, and experiences a maximum decrease of up to 39.71% under high shadowing. Further economic analysis shows that almost all the regions show reliable potential, obtaining an IRR higher than the reference value (5%). Nenjiang has the highest economic profit, with the highest NPV (86,181.15 RMB) and IRR (30.14%) under no shadowing among 20 cities. It also should be mentioned that the alignment between electricity price distribution and the solar power generation curve will directly impact the economic potential of PV systems. rooftop photovoltaic system (dpeaa)DE-He213 EnergyPlus (dpeaa)DE-He213 economic analysis (dpeaa)DE-He213 shadowing buildings (dpeaa)DE-He213 electric price (dpeaa)DE-He213 Chen, Yixing aut Song, Chengcheng aut Liu, Mengyue aut Xu, Anni aut Zhang, Qilin aut Enthalten in Building simulation Beijing : Tsinghua Press, 2008 17(2023), 2 vom: 17. Okt., Seite 235-252 (DE-627)564750867 (DE-600)2422327-X 1996-8744 nnns volume:17 year:2023 number:2 day:17 month:10 pages:235-252 https://dx.doi.org/10.1007/s12273-023-1082-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 17 2023 2 17 10 235-252 |
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10.1007/s12273-023-1082-5 doi (DE-627)SPR05443713X (SPR)s12273-023-1082-5-e DE-627 ger DE-627 rakwb eng Ren, Zhiyi verfasserin aut Economic analysis of rooftop photovoltaics system under different shadowing conditions for 20 cities in China 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Tsinghua University Press 2023 Abstract Installing photovoltaic (PV) systems is an essential step for low-carbon development. The economics of PV systems are strongly impacted by the electricity price and the shadowing effect from neighboring buildings. This study evaluates the PV generation potential and economics of 20 cities in China under three shadowing conditions. First, the building geometry models under three shadowing conditions for the 20 cities were constructed using QGIS. Then, 60 building models with PV systems and shadows from surrounding buildings were generated by City Buildings, Energy, and Sustainability (CityBES), an open platform, to simulate the PV power generation. Finally, the study presented one economic analysis model to evaluate the profitability by combining the market cost of rooftop PV systems and electricity prices in China. The economic model included four indicators: payback period (static and dynamic), net present value (NPV), and internal rate of return (IRR). The results show that the reduction of PV power generation ranges from 8.29% to 16.01% under medium shadowing, and experiences a maximum decrease of up to 39.71% under high shadowing. Further economic analysis shows that almost all the regions show reliable potential, obtaining an IRR higher than the reference value (5%). Nenjiang has the highest economic profit, with the highest NPV (86,181.15 RMB) and IRR (30.14%) under no shadowing among 20 cities. It also should be mentioned that the alignment between electricity price distribution and the solar power generation curve will directly impact the economic potential of PV systems. rooftop photovoltaic system (dpeaa)DE-He213 EnergyPlus (dpeaa)DE-He213 economic analysis (dpeaa)DE-He213 shadowing buildings (dpeaa)DE-He213 electric price (dpeaa)DE-He213 Chen, Yixing aut Song, Chengcheng aut Liu, Mengyue aut Xu, Anni aut Zhang, Qilin aut Enthalten in Building simulation Beijing : Tsinghua Press, 2008 17(2023), 2 vom: 17. Okt., Seite 235-252 (DE-627)564750867 (DE-600)2422327-X 1996-8744 nnns volume:17 year:2023 number:2 day:17 month:10 pages:235-252 https://dx.doi.org/10.1007/s12273-023-1082-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 17 2023 2 17 10 235-252 |
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The economics of PV systems are strongly impacted by the electricity price and the shadowing effect from neighboring buildings. This study evaluates the PV generation potential and economics of 20 cities in China under three shadowing conditions. First, the building geometry models under three shadowing conditions for the 20 cities were constructed using QGIS. Then, 60 building models with PV systems and shadows from surrounding buildings were generated by City Buildings, Energy, and Sustainability (CityBES), an open platform, to simulate the PV power generation. Finally, the study presented one economic analysis model to evaluate the profitability by combining the market cost of rooftop PV systems and electricity prices in China. The economic model included four indicators: payback period (static and dynamic), net present value (NPV), and internal rate of return (IRR). The results show that the reduction of PV power generation ranges from 8.29% to 16.01% under medium shadowing, and experiences a maximum decrease of up to 39.71% under high shadowing. Further economic analysis shows that almost all the regions show reliable potential, obtaining an IRR higher than the reference value (5%). Nenjiang has the highest economic profit, with the highest NPV (86,181.15 RMB) and IRR (30.14%) under no shadowing among 20 cities. 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Ren, Zhiyi |
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economic analysis of rooftop photovoltaics system under different shadowing conditions for 20 cities in china |
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Economic analysis of rooftop photovoltaics system under different shadowing conditions for 20 cities in China |
| abstract |
Abstract Installing photovoltaic (PV) systems is an essential step for low-carbon development. The economics of PV systems are strongly impacted by the electricity price and the shadowing effect from neighboring buildings. This study evaluates the PV generation potential and economics of 20 cities in China under three shadowing conditions. First, the building geometry models under three shadowing conditions for the 20 cities were constructed using QGIS. Then, 60 building models with PV systems and shadows from surrounding buildings were generated by City Buildings, Energy, and Sustainability (CityBES), an open platform, to simulate the PV power generation. Finally, the study presented one economic analysis model to evaluate the profitability by combining the market cost of rooftop PV systems and electricity prices in China. The economic model included four indicators: payback period (static and dynamic), net present value (NPV), and internal rate of return (IRR). The results show that the reduction of PV power generation ranges from 8.29% to 16.01% under medium shadowing, and experiences a maximum decrease of up to 39.71% under high shadowing. Further economic analysis shows that almost all the regions show reliable potential, obtaining an IRR higher than the reference value (5%). Nenjiang has the highest economic profit, with the highest NPV (86,181.15 RMB) and IRR (30.14%) under no shadowing among 20 cities. It also should be mentioned that the alignment between electricity price distribution and the solar power generation curve will directly impact the economic potential of PV systems. © Tsinghua University Press 2023 |
| abstractGer |
Abstract Installing photovoltaic (PV) systems is an essential step for low-carbon development. The economics of PV systems are strongly impacted by the electricity price and the shadowing effect from neighboring buildings. This study evaluates the PV generation potential and economics of 20 cities in China under three shadowing conditions. First, the building geometry models under three shadowing conditions for the 20 cities were constructed using QGIS. Then, 60 building models with PV systems and shadows from surrounding buildings were generated by City Buildings, Energy, and Sustainability (CityBES), an open platform, to simulate the PV power generation. Finally, the study presented one economic analysis model to evaluate the profitability by combining the market cost of rooftop PV systems and electricity prices in China. The economic model included four indicators: payback period (static and dynamic), net present value (NPV), and internal rate of return (IRR). The results show that the reduction of PV power generation ranges from 8.29% to 16.01% under medium shadowing, and experiences a maximum decrease of up to 39.71% under high shadowing. Further economic analysis shows that almost all the regions show reliable potential, obtaining an IRR higher than the reference value (5%). Nenjiang has the highest economic profit, with the highest NPV (86,181.15 RMB) and IRR (30.14%) under no shadowing among 20 cities. It also should be mentioned that the alignment between electricity price distribution and the solar power generation curve will directly impact the economic potential of PV systems. © Tsinghua University Press 2023 |
| abstract_unstemmed |
Abstract Installing photovoltaic (PV) systems is an essential step for low-carbon development. The economics of PV systems are strongly impacted by the electricity price and the shadowing effect from neighboring buildings. This study evaluates the PV generation potential and economics of 20 cities in China under three shadowing conditions. First, the building geometry models under three shadowing conditions for the 20 cities were constructed using QGIS. Then, 60 building models with PV systems and shadows from surrounding buildings were generated by City Buildings, Energy, and Sustainability (CityBES), an open platform, to simulate the PV power generation. Finally, the study presented one economic analysis model to evaluate the profitability by combining the market cost of rooftop PV systems and electricity prices in China. The economic model included four indicators: payback period (static and dynamic), net present value (NPV), and internal rate of return (IRR). The results show that the reduction of PV power generation ranges from 8.29% to 16.01% under medium shadowing, and experiences a maximum decrease of up to 39.71% under high shadowing. Further economic analysis shows that almost all the regions show reliable potential, obtaining an IRR higher than the reference value (5%). Nenjiang has the highest economic profit, with the highest NPV (86,181.15 RMB) and IRR (30.14%) under no shadowing among 20 cities. It also should be mentioned that the alignment between electricity price distribution and the solar power generation curve will directly impact the economic potential of PV systems. © Tsinghua University Press 2023 |
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Economic analysis of rooftop photovoltaics system under different shadowing conditions for 20 cities in China |
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https://dx.doi.org/10.1007/s12273-023-1082-5 |
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Chen, Yixing Song, Chengcheng Liu, Mengyue Xu, Anni Zhang, Qilin |
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Chen, Yixing Song, Chengcheng Liu, Mengyue Xu, Anni Zhang, Qilin |
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10.1007/s12273-023-1082-5 |
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2024-07-04T01:37:13.659Z |
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| score |
7.4031916 |