Renewable Energy Economics, Policies and Planning
Aychar Khajavi Pour; Mohammad Reza Shahraki; Faranak Hosseinzadeh Saljooghi
Abstract
Photovoltaic energy is a good alternative to fossil fuels due to the abundance of solar energy. In this research, the criteria for locating photovoltaic solar power plants were identified using previous studies and experts’ views and by using the Delphi method based on five socioeconomic, topographic, ...
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Photovoltaic energy is a good alternative to fossil fuels due to the abundance of solar energy. In this research, the criteria for locating photovoltaic solar power plants were identified using previous studies and experts’ views and by using the Delphi method based on five socioeconomic, topographic, power generation and distribution issues, climatological, and environmental criteria. Then, by using the GIS software, the layers of sub-criteria were classified for locating photovoltaic solar power plants. Upon identifying the proposed decision-maker units for location finding, their efficiency was calculated using the full fuzzy data envelopment analysis method in three steps. The information extracted from the layers of the sub-criteria of GIS was coded using the MATLAB software in the first step of the full fuzzy data envelopment analysis model and the decision-making units were classified into three classes of efficient, weak, and inefficient. In the second step, the values of output shortages and input surplus were determined. Finally, in the third step, efficient decision-making units were ranked using Anderson-Pearson Super Efficiency Method in full fuzzy data envelopment analysis. In order to validate the proposed method, a case study was carried out. The results of calculations showed that the north, central, and southeast areas of Sistan and Baluchestan province were among the favorable areas for photovoltaic solar power plant construction. Therefore, approximately 66 % of the province’s area has appropriate efficiency matching the sub-criteria considered to construct a photovoltaic solar power plant.
Renewable Energy Economics, Policies and Planning
Younes Noorollahi; Fatemeh Pourghasem; Hossein Yousefi
Abstract
Baseline data represent one of the important stages of Environmental Impact Assessment (EIA) procedure that describes the existing environment of the study area and surrounding areas in enough detail to allow the environmental impacts of the proposed area to be accurately and adequately assessed, and ...
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Baseline data represent one of the important stages of Environmental Impact Assessment (EIA) procedure that describes the existing environment of the study area and surrounding areas in enough detail to allow the environmental impacts of the proposed area to be accurately and adequately assessed, and future changes and effects can be measured. Baseline data may be inaccurate, difficult to obtain or non-existent in Iran as a developing country, and it involves huge and diverse environmental data of a spatial nature in the EIA process. Therefore, a useful and effective geographic information system (GIS) approach is developed to integrate geodatabase by acquiring and handling environmental data from different sources related to the proposed project area for the EIA procedure. Based on this approach, a comprehensive geodatabase for baseline data of EIA procedure, called Baseline Geodatabase (BGDB), is designed. The BGDB includes feature datasets (projects, climatology and air quality, hydrology, pedology, general location map of the study area, geology, noise, biology, and socio-economic-cultural data) and tables (fauna). For example, the BGDB for Sabalan geothermal project area, Iran as a case study is developed. This paper provides a practical tool to facilitate the EIA process, environmentally sustainable management, and to support decision-making for environmental specialists and managers in the present and future of the proposed project area.