Identification and Prioritization of Project Risk Indicators and Components Based on PMBOK Standard with a Fuzzy Decision Theory Approach at Solar Power Plants of Qazvin Province

alireza teymoria¹ morteza alikhani² hamidreza teymoria³

1) master of industrial Management
2) MSc Political Science
3) Master of power Electrical Engineering

IOI Code : XBDH-DDFZK
Publication : 7th International Conference on Management, economics and humanities(icm2019.com)
Abstract :
    Solar energy has a crucial role to play in the primary source of all reserves, in countries with a high level of access to sunlight. Therefore, in many parts of the country, it is possible to provide the energy needed through the sun. Various factors such as total solar radiation, regional infrastructure, power transmission networks, environmental issues affect the selection of optimal locations. In this study, we considered the effective indicators available for the construction of solar power plants. Then, using experts opinion, we weighted these indices and using a combined method to select the most suitable location for the solar power plant location, which is a fuzzy AHP And multi-purpose linear programming. At first, Fuzzy AHP has been taken to determine and analyze the weight of multiple factors. Environmental factors such as environmental pollution, delays in service delivery, maximum capacity, costs, and indicators are: sunny hours, demographic centers , Distance from power lines, land use, transportation network

Keywords : solar power plant location fuzzy ahp fossil fuels