4.7 Article

Multi-criteria decision-making model for optimal planning of on/off grid hybrid solar, wind, hydro, biomass clean electricity supply

Journal

RENEWABLE ENERGY
Volume 179, Issue -, Pages 885-910

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2021.07.063

Keywords

Hybrid clean electricity supply; 100% renewable Energy; Feasibility analysis; Optimal planning; Multi-criteria decision-making; Ruralelectrification

Funding

  1. National Key Research and Development Program of China [2017YFB090280]
  2. Taif University, Taif, Saudi Arabia [TURSP-2020/61]

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This paper presents an integrated decision-making approach for optimal planning of a 100% renewable energy supply system in a rural area of Pakistan, considering a variety of sustainability criteria. The results reveal that the solar-hydro-biomass battery is the top-ranking off-grid system, while the solar-hydro-battery is the most appropriate design when the hybrid system is connected to the grid. The developed approach offers valuable benchmark and guidelines for investors and stakeholders in the energy industry to promote the high dissemination of renewables.
Worldwide, the emerging trend of hybrid renewable energy sources integration in modern power systems is increasing due to privileged prices and clean electricity supply. However, the optimal planning of rural hybrid systems is a challenging and complex task, especially when different alternatives and sustainability aspects are considered. This paper develops an integrated decision-making approach for the optimal planning of a 100% renewable energy supply system comprising solar, wind, hydro, and biomass sources in a rural area located in Pakistan. An hourly-based design optimization analysis of twelve on/off-grid electrification alternatives is performed. The optimization model simultaneously addresses five sustainability criteria related to economy, reliability, ecology, society, and topography aspects. Furthermore, a novel hybrid decision-making model has developed to identify the unique best configuration with on-grid and off-grid options. The proposed model combines fuzzy analytic hierarchy process, multi-objective optimization based on ratio analysis technique for order of preference by similarity to an ideal solution, and evaluation based on distance from average solution methods. The results reveal that the solar-hydro-biomass battery with a life cycle cost of 10.9 M$ is the top-ranking off-grid system. When the hybrid system is connected to the grid, the solar-hydro-battery has found the most appropriate design with a life cycle cost of 12.96 M$. Both scenarios have a negligible capacity shortage of 0.09%. Ecologically, the optimal off-grid system produces only 408.37 kg/yr of CO2 due to the significant energy share of solar and hydro sources (99.3%). The optimal on-grid system produced the minimum CO2 with 29,177.89 kg/yr compared to other alternatives. Also, employing the optimal on/off-grid designs require land area and jobs of 96.6 m(2), 14 jobs, and 118 m(2), 15 jobs, respectively. Overall, the developed approach with the presented case study offers a valuable benchmark and guidelines for investors and stakeholders to create realistic investment plans for the energy industry looking to push efficient inducements to encourage the high dissemination of renewables. (C) 2021 Elsevier Ltd. All rights reserved.

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