The Experts below are selected from a list of 484104 Experts worldwide ranked by ideXlab platform

Xiangyu Wang - One of the best experts on this subject based on the ideXlab platform.

  • Environmental Influence assessment of China’s multi-crystalline silicon (multi-Si) photovoltaic modules considering recycling process
    Solar Energy, 2017
    Co-Authors: Beijia Huang, Jingyang Chai, Juan Zhao, Feng Zhao, Xiangyu Wang
    Abstract:

    Abstract The Environmental burden of multi-Si PV modules in China has been discussed in existing studies, however, their data are mostly from local enterprises, and none of their Environmental assessment involves the decommissioning and recycling process. This study quantitatively assesses the life-cycle Environmental impacts of Chinese Multi-crystalline Photovoltaic Systems involving the recycling process. The LCA software GaBi is applied to establish the LCA model and to perform the calculation, and ReCiPe method is chosen to quantify the Environmental impacts. LCA of production process reveals that Polysilicon production, Cell processing and Modules assembling have relatively higher Environmental impact than processes of Industrial silicon smelting and Ingot casting and Wafer slicing. Among the 14 Environmental impact categories evaluated by ReCiPe methodology, the most prominent environment impacts are found as Climate Change and Human Toxicity. LCA including recycling process reveals that although recycling process has Environmental impact, the recycling scenario has less Environmental impact by comparing with the landfill scenario. Among the five manufacturing processes and recycling process, Environmental impacts of polysilicon production, cell processing and modules assembling have relatively higher uncertainty, probably because that the Environmental impact of these processes is high, and standard error of parameters such as electricity, aluminum and glass in the three processes are high. Findings of our study indicate that proper measures should be taken in the high pollution processes such as polysilicon production and cell processing. In addition, efforts should also be made to enhance the recovery rate and seek for more Environmental friendly materials in the recycling process.

  • Environmental Influence assessment of china s multi crystalline silicon multi si photovoltaic modules considering recycling process
    Solar Energy, 2017
    Co-Authors: Beijia Huang, Jingyang Chai, Juan Zhao, Feng Zhao, Xiangyu Wang
    Abstract:

    Abstract The Environmental burden of multi-Si PV modules in China has been discussed in existing studies, however, their data are mostly from local enterprises, and none of their Environmental assessment involves the decommissioning and recycling process. This study quantitatively assesses the life-cycle Environmental impacts of Chinese Multi-crystalline Photovoltaic Systems involving the recycling process. The LCA software GaBi is applied to establish the LCA model and to perform the calculation, and ReCiPe method is chosen to quantify the Environmental impacts. LCA of production process reveals that Polysilicon production, Cell processing and Modules assembling have relatively higher Environmental impact than processes of Industrial silicon smelting and Ingot casting and Wafer slicing. Among the 14 Environmental impact categories evaluated by ReCiPe methodology, the most prominent environment impacts are found as Climate Change and Human Toxicity. LCA including recycling process reveals that although recycling process has Environmental impact, the recycling scenario has less Environmental impact by comparing with the landfill scenario. Among the five manufacturing processes and recycling process, Environmental impacts of polysilicon production, cell processing and modules assembling have relatively higher uncertainty, probably because that the Environmental impact of these processes is high, and standard error of parameters such as electricity, aluminum and glass in the three processes are high. Findings of our study indicate that proper measures should be taken in the high pollution processes such as polysilicon production and cell processing. In addition, efforts should also be made to enhance the recovery rate and seek for more Environmental friendly materials in the recycling process.

Beijia Huang - One of the best experts on this subject based on the ideXlab platform.

  • Environmental Influence assessment of China’s multi-crystalline silicon (multi-Si) photovoltaic modules considering recycling process
    Solar Energy, 2017
    Co-Authors: Beijia Huang, Jingyang Chai, Juan Zhao, Feng Zhao, Xiangyu Wang
    Abstract:

    Abstract The Environmental burden of multi-Si PV modules in China has been discussed in existing studies, however, their data are mostly from local enterprises, and none of their Environmental assessment involves the decommissioning and recycling process. This study quantitatively assesses the life-cycle Environmental impacts of Chinese Multi-crystalline Photovoltaic Systems involving the recycling process. The LCA software GaBi is applied to establish the LCA model and to perform the calculation, and ReCiPe method is chosen to quantify the Environmental impacts. LCA of production process reveals that Polysilicon production, Cell processing and Modules assembling have relatively higher Environmental impact than processes of Industrial silicon smelting and Ingot casting and Wafer slicing. Among the 14 Environmental impact categories evaluated by ReCiPe methodology, the most prominent environment impacts are found as Climate Change and Human Toxicity. LCA including recycling process reveals that although recycling process has Environmental impact, the recycling scenario has less Environmental impact by comparing with the landfill scenario. Among the five manufacturing processes and recycling process, Environmental impacts of polysilicon production, cell processing and modules assembling have relatively higher uncertainty, probably because that the Environmental impact of these processes is high, and standard error of parameters such as electricity, aluminum and glass in the three processes are high. Findings of our study indicate that proper measures should be taken in the high pollution processes such as polysilicon production and cell processing. In addition, efforts should also be made to enhance the recovery rate and seek for more Environmental friendly materials in the recycling process.

  • Environmental Influence assessment of china s multi crystalline silicon multi si photovoltaic modules considering recycling process
    Solar Energy, 2017
    Co-Authors: Beijia Huang, Jingyang Chai, Juan Zhao, Feng Zhao, Xiangyu Wang
    Abstract:

    Abstract The Environmental burden of multi-Si PV modules in China has been discussed in existing studies, however, their data are mostly from local enterprises, and none of their Environmental assessment involves the decommissioning and recycling process. This study quantitatively assesses the life-cycle Environmental impacts of Chinese Multi-crystalline Photovoltaic Systems involving the recycling process. The LCA software GaBi is applied to establish the LCA model and to perform the calculation, and ReCiPe method is chosen to quantify the Environmental impacts. LCA of production process reveals that Polysilicon production, Cell processing and Modules assembling have relatively higher Environmental impact than processes of Industrial silicon smelting and Ingot casting and Wafer slicing. Among the 14 Environmental impact categories evaluated by ReCiPe methodology, the most prominent environment impacts are found as Climate Change and Human Toxicity. LCA including recycling process reveals that although recycling process has Environmental impact, the recycling scenario has less Environmental impact by comparing with the landfill scenario. Among the five manufacturing processes and recycling process, Environmental impacts of polysilicon production, cell processing and modules assembling have relatively higher uncertainty, probably because that the Environmental impact of these processes is high, and standard error of parameters such as electricity, aluminum and glass in the three processes are high. Findings of our study indicate that proper measures should be taken in the high pollution processes such as polysilicon production and cell processing. In addition, efforts should also be made to enhance the recovery rate and seek for more Environmental friendly materials in the recycling process.

M Costa - One of the best experts on this subject based on the ideXlab platform.

  • Environmental Influence on commercial fishery landings of small pelagic fish in portugal
    Regional Environmental Change, 2016
    Co-Authors: Célia Dos Santos Teixeira, Rita Gamito, Francisco Leitão, Alberto G. Murta, Henrique N. Cabral, Karim Erzini, M Costa
    Abstract:

    Small pelagic fishes are particularly abundant in areas with high Environmental variability (zones of coastal upwelling and areas of tidal mixing and river discharge), and because of this, their abundance suffers large inter-annual and inter-decadal fluctuations. In Portugal, the most important species in terms of landings are European sardine, Atlantic horse mackerel and Atlantic chub mackerel. Small pelagic fish landings account for 62.8 % of the total fish biomass and represent 32.7 % of the economical value of all catches. We have investigated trends in landings of these small pelagic fishes and detected the effects of Environmental factors in this fishery. In order to explain the variability of landings of small pelagic fishes, we have used official landings (1965–2012) for trawling and purse seine fisheries and applied generalized linear models, using the North Atlantic Oscillation index (NAO) (annual and winter NAO index), sea surface temperature (SST), wind data (strength and North–South and East–West wind components) and rainfall, as explanatory variables. Regression analysis was used to describe the relationship between landings and SST. The models explained between 50.16 and 51.07 % of the variability of the LPUE, with the most important factors being winter NAO index, SST and wind strength. The LPUE of European sardine and Atlantic horse mackerel was negatively correlated with SST, and LPUE of Atlantic chub mackerel was positively correlated with SST. The use of landings of three important species of small pelagic fishes allowed the detection of variations in landings associated with changes in sea water temperature and NAO index.

Célia Dos Santos Teixeira - One of the best experts on this subject based on the ideXlab platform.

  • Environmental Influence on commercial fishery landings of small pelagic fish in portugal
    Regional Environmental Change, 2016
    Co-Authors: Célia Dos Santos Teixeira, Rita Gamito, Francisco Leitão, Alberto G. Murta, Henrique N. Cabral, Karim Erzini, M Costa
    Abstract:

    Small pelagic fishes are particularly abundant in areas with high Environmental variability (zones of coastal upwelling and areas of tidal mixing and river discharge), and because of this, their abundance suffers large inter-annual and inter-decadal fluctuations. In Portugal, the most important species in terms of landings are European sardine, Atlantic horse mackerel and Atlantic chub mackerel. Small pelagic fish landings account for 62.8 % of the total fish biomass and represent 32.7 % of the economical value of all catches. We have investigated trends in landings of these small pelagic fishes and detected the effects of Environmental factors in this fishery. In order to explain the variability of landings of small pelagic fishes, we have used official landings (1965–2012) for trawling and purse seine fisheries and applied generalized linear models, using the North Atlantic Oscillation index (NAO) (annual and winter NAO index), sea surface temperature (SST), wind data (strength and North–South and East–West wind components) and rainfall, as explanatory variables. Regression analysis was used to describe the relationship between landings and SST. The models explained between 50.16 and 51.07 % of the variability of the LPUE, with the most important factors being winter NAO index, SST and wind strength. The LPUE of European sardine and Atlantic horse mackerel was negatively correlated with SST, and LPUE of Atlantic chub mackerel was positively correlated with SST. The use of landings of three important species of small pelagic fishes allowed the detection of variations in landings associated with changes in sea water temperature and NAO index.

  • Environmental Influence on commercial fishery landings of small pelagic fish in Portugal
    Regional Environmental Change, 2015
    Co-Authors: Célia Dos Santos Teixeira, Rita Gamito, Francisco Leitão, Alberto G. Murta, Henrique N. Cabral, Karim Erzini, María José Costa
    Abstract:

    Small pelagic fishes are particularly abundant in areas with high Environmental variability (zones of coastal upwelling and areas of tidal mixing and river discharge), and because of this, their abundance suffers large inter-annual and inter-decadal fluctuations. In Portugal, the most important species in terms of landings are European sardine, Atlantic horse mackerel and Atlantic chub mackerel. Small pelagic fish landings account for 62.8 % of the total fish biomass and represent 32.7 % of the economical value of all catches. We have investigated trends in landings of these small pelagic fishes and detected the effects of Environmental factors in this fishery. In order to explain the variability of landings of small pelagic fishes, we have used official landings (1965–2012) for trawling and purse seine fisheries and applied generalized linear models, using the North Atlantic Oscillation index (NAO) (annual and winter NAO index), sea surface temperature (SST), wind data (strength and North–South and East–West wind components) and rainfall, as explanatory variables. Regression analysis was used to describe the relationship between landings and SST. The models explained between 50.16 and 51.07 % of the variability of the LPUE, with the most important factors being winter NAO index, SST and wind strength. The LPUE of European sardine and Atlantic horse mackerel was negatively correlated with SST, and LPUE of Atlantic chub mackerel was positively correlated with SST. The use of landings of three important species of small pelagic fishes allowed the detection of variations in landings associated with changes in sea water temperature and NAO index.

Feng Zhao - One of the best experts on this subject based on the ideXlab platform.

  • Environmental Influence assessment of China’s multi-crystalline silicon (multi-Si) photovoltaic modules considering recycling process
    Solar Energy, 2017
    Co-Authors: Beijia Huang, Jingyang Chai, Juan Zhao, Feng Zhao, Xiangyu Wang
    Abstract:

    Abstract The Environmental burden of multi-Si PV modules in China has been discussed in existing studies, however, their data are mostly from local enterprises, and none of their Environmental assessment involves the decommissioning and recycling process. This study quantitatively assesses the life-cycle Environmental impacts of Chinese Multi-crystalline Photovoltaic Systems involving the recycling process. The LCA software GaBi is applied to establish the LCA model and to perform the calculation, and ReCiPe method is chosen to quantify the Environmental impacts. LCA of production process reveals that Polysilicon production, Cell processing and Modules assembling have relatively higher Environmental impact than processes of Industrial silicon smelting and Ingot casting and Wafer slicing. Among the 14 Environmental impact categories evaluated by ReCiPe methodology, the most prominent environment impacts are found as Climate Change and Human Toxicity. LCA including recycling process reveals that although recycling process has Environmental impact, the recycling scenario has less Environmental impact by comparing with the landfill scenario. Among the five manufacturing processes and recycling process, Environmental impacts of polysilicon production, cell processing and modules assembling have relatively higher uncertainty, probably because that the Environmental impact of these processes is high, and standard error of parameters such as electricity, aluminum and glass in the three processes are high. Findings of our study indicate that proper measures should be taken in the high pollution processes such as polysilicon production and cell processing. In addition, efforts should also be made to enhance the recovery rate and seek for more Environmental friendly materials in the recycling process.

  • Environmental Influence assessment of china s multi crystalline silicon multi si photovoltaic modules considering recycling process
    Solar Energy, 2017
    Co-Authors: Beijia Huang, Jingyang Chai, Juan Zhao, Feng Zhao, Xiangyu Wang
    Abstract:

    Abstract The Environmental burden of multi-Si PV modules in China has been discussed in existing studies, however, their data are mostly from local enterprises, and none of their Environmental assessment involves the decommissioning and recycling process. This study quantitatively assesses the life-cycle Environmental impacts of Chinese Multi-crystalline Photovoltaic Systems involving the recycling process. The LCA software GaBi is applied to establish the LCA model and to perform the calculation, and ReCiPe method is chosen to quantify the Environmental impacts. LCA of production process reveals that Polysilicon production, Cell processing and Modules assembling have relatively higher Environmental impact than processes of Industrial silicon smelting and Ingot casting and Wafer slicing. Among the 14 Environmental impact categories evaluated by ReCiPe methodology, the most prominent environment impacts are found as Climate Change and Human Toxicity. LCA including recycling process reveals that although recycling process has Environmental impact, the recycling scenario has less Environmental impact by comparing with the landfill scenario. Among the five manufacturing processes and recycling process, Environmental impacts of polysilicon production, cell processing and modules assembling have relatively higher uncertainty, probably because that the Environmental impact of these processes is high, and standard error of parameters such as electricity, aluminum and glass in the three processes are high. Findings of our study indicate that proper measures should be taken in the high pollution processes such as polysilicon production and cell processing. In addition, efforts should also be made to enhance the recovery rate and seek for more Environmental friendly materials in the recycling process.