Evaluation of solar energy potential and site suitability for PV farms by using multi criteria decision support system | |
| Author | Sharma, Sharang Dev |
| Call Number | AIT Thesis no.ICT-18-04 |
| Subject(s) | Decision support systems--Evaluation Photovoltaic power systems--India Solar energy--India |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Information and Communication Technology, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. ICT-18-04 |
| Abstract | With the commencement of 21st century, world has seen tectonical shift in technological advancement, modernization and urban growth especially, India and China, which has been in constant race to become the next economic super powers. However, this has led to the increase in energy demand mainly in form of electricity. In current times, the prime source of electricity generation is fossil fuels. Nevertheless, it’s excessive use has severe harmful effect on our ecosystem affecting plant and animal life cycles, for instance, global warming, climate change, pollution, life threatening diseases, etc. Thus, dangerous effects of greenhouse gas emission, increased sense of energy security and decrease in availability of fossil fuel has resulted in continuous increase in the use of renewable sources of energy, with solar power leading the front. Setting up the solar PV stations and solar farms is the first step in harnessing solar energy. However, identification of suitable sites to install these station helps to reduce the cost and save time in a considerable way. Therefore, this study focuses on finding optimal location for installing solar PV stations in Jodhpur district of Rajasthan province in India, using GIS and Analytic Hierarchy Process. In this study, seven criteria were taken into consideration mainly solar irradiance, slope, elevation, aspect, land use and land cover, distance from roads and proximity from major towns in the district. In order to get the final suitability map, criteria weights are calculated using the AHP with solar irradiance being the most influential one. It was classified in five classes – very high suitable, high suitable, moderate suitable, low suitable and least suitable. Finally, highly suitable areas were extracted, which comprised of majority of the district to estimate the solar power generation potential for different PV technologies, in fact as much as 1700 TWh per year, if c-Si technology is used for PV cells. |
| Year | 2018 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. ICT-18-04 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Information and Communication Technology (ICT) |
| Chairperson(s) | Tripathi, Nitin Kumar; |
| Examination Committee(s) | Singh, Jai Govind;Virdis, Salvatore G.P.; |
| Scholarship Donor(s) | Asian Institute of Technology Fellowship; |
| Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2018 |