A framework for selecting the location of very large photovoltaic solar power plants on a global/supergrid

Energy Reports

Jatinder Gill¹  Opemipo E. Atiba²  Olayinka S. Ohunakin³  Aderemi A. Atayero⁴  Burak Omer Saracoglu⁵  Damola S. Adelekan⁶  Imhade P. Okokpujie⁶ 

[1]Center for African Studies, University of California, Berkeley, USA

[2]Corresponding author at: The Energy and Environment Research Group (TEERG), Mechanical Engineering Department, Covenant University, P.M.B 1023, Ota, Ogun State, Nigeria.

[3]Corresponding author.

[4]IKGPTU, Kapurthala, Punjab, India

[5]Orhantepe Mahallesi, Tekel Caddesi, Istanbul, Turkey

[6]The Energy and Environment Research Group (TEERG), Mechanical Engineering Department, Covenant University, P.M.B 1023, Ota, Ogun State, Nigeria

DOI  :  

来源: DOAJ

【 摘 要 】

One of the important optimization applications (minimization and maximization) is the power grid systems. National electricity grids should be interconnected to develop larger regional grids (supergrids), and further integrated to build up a worldwide grid (global grid) for minimizing consumption of natural resources and maximizing economical useful life, recycling rate, and effective usage of natural resources. These supergrids and global grid concepts can only be developed through detailed and organized supportive research studies. This research study aims to find, define, identify, describe and select location selection factors of very large photovoltaic solar power plant investments on a global grid and supergrid concepts. Grey systems theory, fuzzy (Type-1 and 2) theories, Mamdani’s type fuzzy rule-based system, Interpretive Structural Modelling (ISM), Impact Matrix Cross-Reference Multiplication Applied to a Classification (MICMAC) tool, and Political, Economic, Social and Technological (PEST) framework and its extensions (SLEPT, PESTEL, PESTLE, STEEPLE, STEEPLED, DESTEP, STEER) are concurrently used in this study. Eleven (11) criteria are presented for preliminary screening (i.e. C1: global horizontal irradiation (GHI), C2: governments supergrid integration policy, C3: supergrid business climate and conditions, C4: High Voltage Direct Current (HVDC) and High Voltage Alternating Current (HVAC) electrification grid infrastructure, C5: land use, allocation and availability, C6: geological conditions, C7: political, war, terror & security, C8: topographical conditions, C9: climatic conditions, C10: water availability conditions, C11: natural disaster/hazard conditions), and 191 factors are presented for pre-feasibility investment stages. Findings can directly be used or taken as a basis for further analysis by researchers and practitioners. Keywords: Fuzzy logic, Global grid, Interpretive structural modelling, MICMAC, PEST, Photovoltaic, Supergrid

【 授权许可】

Unknown