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description Publicationkeyboard_double_arrow_right Review 2017 Turkey EnglishPublisher:Pergamon-Elsevier Science Ltd Authors: Elibol, Erdem; Özmen, Özge Tüzün; Tutkun, Nedim; Köysal, Oğuz;Elibol, Erdem; Özmen, Özge Tüzün; Tutkun, Nedim; Köysal, Oğuz;WOS: 000389088900049 Photovoltaic (PV) panel efficiency has been tested in the laboratory at standard test conditions (STC) (25 degrees C, 1000 W/m(2) and AM:1.5). However, PV panels are used in different regions and climatic conditions quite different from STC. Due to that, panel efficiency is not observed same with manufacturer catalogue data. This study focus on outdoor testing of PV panels performances at literature, in addition, one-year results of mono-crystalline (2.35 kW), polycrystalline (2.64 kW) and amorphous silicon (2.40 kW) photovoltaic panels were analysed. These PV panels were placed on the roof of Duzce University Scientific and Technological Researches Application and Research Centre (DUBIT) in Duzce Province, in Turkey, one of the countries with the highest solar power potential in Europe and connected to power grid. Amounts of energy produced by the panels over a day, a month and a year as well as inverter efficiency and performance ratios were calculated. Performance ratios were found out as 73%, 81% and 91% for a-Si, polycrystalline and mono-crystalline PV panels, respectively. Panel efficiency was calculated as 4.79%, 11.36% and 13.26% in the same order. All results were compared with Previous studies. Statistical analysis was made to state relationship between efficiency and performance ratios of panel types, environmental temperature, panel temperature and amount of radiation. As a result of the statistical analysis, it was observed that temperature increase of 1 degrees C increased the efficiency of a-Si panels 0.029% and the efficiency of polycrystalline panels 0.033%, yet, decreased the efficiency of mono-crystalline panels 0.084%. (C) 2016 Elsevier Ltd. All rights reserved.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______3147::f00e94489be5bd1e5a114b979fd5f847&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2014 NetherlandsPublisher:Elsevier BV Authors: Feng, K; Hubacek, K; Siu, YL; Li, X;Feng, K; Hubacek, K; Siu, YL; Li, X;Between 2000 and 2010, China's electricity production had increased threefold and accounted for 50% of domestic and 12% of global CO2 emissions in 2010. Substantial changes in the electricity fuel mix are urgently required to meet China's carbon intensity target of reducing CO2 emissions by 40-45% by 2020. Moreover, electricity production is the second largest consumer of water in China, but water requirements vary significantly between different electricity generation technologies. By integrating process-based life-cycle analysis (LCA) and input-output analysis (IOA) and through tracking national supply chains, we have provided a detailed account of total life-cycle carbon emissions (g/kWh) and water consumption (I/kWh) for eight electricity generation technologies - (pulverized) coal, gas, oil, hydro, nuclear, wind, solar photovoltaic, and biomass. We have demonstrated that a shift to low carbon renewable electricity generation technologies, i.e. wind, could potentially save more than 79% of total life-cycle CO2 emissions and more than 50% water consumption per kWh electricity generation compared to the current fuel mix and technology for electricity generation. If the projected wind farms are built by 2020, Inner Mongolia, one of the water scarce northern provinces, would annually save 179 MT CO2 (i.e. 44% of Inner Mongolia's total CO2 emissions in 2008) and 418 million m(3) (Mm(3)) water (18% of its industrial water use in 2008) compared with the same amount of electricity produced from coal. (C) 2014 Elsevier Ltd. All rights reserved.
CORE (RIOXX-UK Aggre... arrow_drop_down CORE (RIOXX-UK Aggregator); Renewable and Sustainable Energy ReviewsArticle . 2014License: CC BY NC NDRenewable and Sustainable Energy ReviewsOther literature type . Review . Article . 2014 . Peer-reviewedLicense: Elsevier TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.rser.2014.07.080&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 221 citations 221 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!visibility 13visibility views 13 download downloads 1,037 Powered bymore_vert CORE (RIOXX-UK Aggre... arrow_drop_down CORE (RIOXX-UK Aggregator); Renewable and Sustainable Energy ReviewsArticle . 2014License: CC BY NC NDRenewable and Sustainable Energy ReviewsOther literature type . Review . Article . 2014 . Peer-reviewedLicense: Elsevier TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.rser.2014.07.080&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Review 2017 Turkey EnglishPublisher:Pergamon-Elsevier Science Ltd Authors: Elibol, Erdem; Özmen, Özge Tüzün; Tutkun, Nedim; Köysal, Oğuz;Elibol, Erdem; Özmen, Özge Tüzün; Tutkun, Nedim; Köysal, Oğuz;WOS: 000389088900049 Photovoltaic (PV) panel efficiency has been tested in the laboratory at standard test conditions (STC) (25 degrees C, 1000 W/m(2) and AM:1.5). However, PV panels are used in different regions and climatic conditions quite different from STC. Due to that, panel efficiency is not observed same with manufacturer catalogue data. This study focus on outdoor testing of PV panels performances at literature, in addition, one-year results of mono-crystalline (2.35 kW), polycrystalline (2.64 kW) and amorphous silicon (2.40 kW) photovoltaic panels were analysed. These PV panels were placed on the roof of Duzce University Scientific and Technological Researches Application and Research Centre (DUBIT) in Duzce Province, in Turkey, one of the countries with the highest solar power potential in Europe and connected to power grid. Amounts of energy produced by the panels over a day, a month and a year as well as inverter efficiency and performance ratios were calculated. Performance ratios were found out as 73%, 81% and 91% for a-Si, polycrystalline and mono-crystalline PV panels, respectively. Panel efficiency was calculated as 4.79%, 11.36% and 13.26% in the same order. All results were compared with Previous studies. Statistical analysis was made to state relationship between efficiency and performance ratios of panel types, environmental temperature, panel temperature and amount of radiation. As a result of the statistical analysis, it was observed that temperature increase of 1 degrees C increased the efficiency of a-Si panels 0.029% and the efficiency of polycrystalline panels 0.033%, yet, decreased the efficiency of mono-crystalline panels 0.084%. (C) 2016 Elsevier Ltd. All rights reserved.
All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______3147::f00e94489be5bd1e5a114b979fd5f847&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=od______3147::f00e94489be5bd1e5a114b979fd5f847&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2014 NetherlandsPublisher:Elsevier BV Authors: Feng, K; Hubacek, K; Siu, YL; Li, X;Feng, K; Hubacek, K; Siu, YL; Li, X;Between 2000 and 2010, China's electricity production had increased threefold and accounted for 50% of domestic and 12% of global CO2 emissions in 2010. Substantial changes in the electricity fuel mix are urgently required to meet China's carbon intensity target of reducing CO2 emissions by 40-45% by 2020. Moreover, electricity production is the second largest consumer of water in China, but water requirements vary significantly between different electricity generation technologies. By integrating process-based life-cycle analysis (LCA) and input-output analysis (IOA) and through tracking national supply chains, we have provided a detailed account of total life-cycle carbon emissions (g/kWh) and water consumption (I/kWh) for eight electricity generation technologies - (pulverized) coal, gas, oil, hydro, nuclear, wind, solar photovoltaic, and biomass. We have demonstrated that a shift to low carbon renewable electricity generation technologies, i.e. wind, could potentially save more than 79% of total life-cycle CO2 emissions and more than 50% water consumption per kWh electricity generation compared to the current fuel mix and technology for electricity generation. If the projected wind farms are built by 2020, Inner Mongolia, one of the water scarce northern provinces, would annually save 179 MT CO2 (i.e. 44% of Inner Mongolia's total CO2 emissions in 2008) and 418 million m(3) (Mm(3)) water (18% of its industrial water use in 2008) compared with the same amount of electricity produced from coal. (C) 2014 Elsevier Ltd. All rights reserved.
CORE (RIOXX-UK Aggre... arrow_drop_down CORE (RIOXX-UK Aggregator); Renewable and Sustainable Energy ReviewsArticle . 2014License: CC BY NC NDRenewable and Sustainable Energy ReviewsOther literature type . Review . Article . 2014 . Peer-reviewedLicense: Elsevier TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.rser.2014.07.080&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 221 citations 221 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!visibility 13visibility views 13 download downloads 1,037 Powered bymore_vert CORE (RIOXX-UK Aggre... arrow_drop_down CORE (RIOXX-UK Aggregator); Renewable and Sustainable Energy ReviewsArticle . 2014License: CC BY NC NDRenewable and Sustainable Energy ReviewsOther literature type . Review . Article . 2014 . Peer-reviewedLicense: Elsevier TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.rser.2014.07.080&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu