Journal
APPLIED ENERGY
Volume 295, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2021.117071
Keywords
Geographical information system; Renewable energy; Hybrid renewable energy system; Spatial analysis; Design optimization; Multi-criteria decision-making
Categories
Funding
- Egyptian Government-ministry of higher education, Egypt
- China Scholarship Council (CSC) fund, China
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This paper aims to develop a systematic and conceptual decision-making framework for site suitability and optimal design of HRESs in Kenya, Sub-Saharan Africa. The study combines GIS and BWM to spatially investigate potential sites for solar, wind, and hybrid systems, followed by E3 design optimization and MCDM analysis to determine the best sustainable solution for the region. The results show that a solar/wind/diesel/battery HRES system is the most cost-effective and environmentally friendly option for electrification in the studied region.
The use of hybrid renewable energy system (HRES) holds great promise for sustainable electrification and support countries reaching their energy access goals. The site selection and design of HRES are strategic stages towards ensuring an affordable, sustainable, and well-performing project. However, both are multidimensional and intricate issues that involve multiple conflicting assessment criteria and alternatives, which are not yet investigated comprehensively and simultaneously in many of the existing literature. In this context, the paper aims to develop a systematic and conceptual decision-making framework for site suitability and optimal design of HRESs, with an application on a regional scale in Kenya, Sub-Saharan Africa. The suggested framework is applied through three consecutive phases. First, a geographical information system (GIS) is combined with Best Worst Method (BWM) decision-making approach to spatially investigate and analyze the potential sites of solar, wind, and hybrid solar/wind systems. Within the spatial investigation, 9 different climatology, environment, location, and orography criteria are considered. Second, energy-economy-ecology (E3) design optimization is conducted to determine the list of feasible alternatives among grid-extension, autonomous HRES, and stand-alone diesel genset electrification schemes for powering a representative remote rural village in Kenya. Third, a post optimality multi-criteria decision-making (MCDM) analysis is applied to decide and assess the optimal energy access design against 12 key sustainability indicators. In the third phase, the BWM is employed to define the weights of each indicator. Then, the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) and the VIsekriterijumsko KOmpromisno Rangiranje (VIKOR) decision making approaches are used for the final ranking of feasible alternatives. The obtained site suitability maps of Kenya show that 0.91% (5322 km(2)) and 1.5% (8828.4 km(2)) of the land is highly suitable, 10.25% (59687 km(2)) and 33.04% (192360 km(2)) is suitable, and 80.5% (470313 km(2)) and 65% (378407 km(2)) is permanently unsuitable for establishing solar and wind systems, respectively. Also, E3-MCDM results indicate that the development of solar/wind/diesel/battery HRES is the best sustainable solution to supply the studied region as compared to other feasible alternatives. The system does not only guarantee a reliable operation with an unmet load of 552 kWh/yr, but it also has the lowest net present and energy costs at 2.6 M$ and 0.28 $/kWh, respectively, meanwhile avoiding annual CO2 of 804 tons compared with diesel system.
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