Design and optimization of an entirely hybrid renewable energy system (WT/PV/BW/HS/TES/EVPL) to supply electrical and thermal loads with considering uncertainties in generation and consumption

AmirHossein Azad and Hossein Shateri

Applied Energy, 2023, vol. 336, issue C, No S0306261923001460

Abstract: Renewable energy resources have gotten considerable attention in recent years owing to significant advancements in power electronics technologies, decreased cost of utilizing renewable resources, and increasing concerns about environmental pollutants, particularly in stand-alone applications. Utilizing entirely renewable resources to meet demand has numerous advantages, including lower energy prices, energy price stability, local accessibility, etc. The capability to apply a modified combination of the gray wolf optimization algorithm and the sine–cosine algorithm is evaluated to minimize the levelized cost of energy and the total annualized net present cost (comprising investment, replacement, decommissioning, and operation & maintenance costs) of the proposed system while complying with system constraints and demand requirements. The optimal power planning of a stand-alone hybrid entirely renewable system comprising wind turbines, PV systems, bio-waste units, and storage devices to supply electrical and thermal loads simultaneously was investigated in this paper. A parking lot for electric vehicles is also considered in non-smart and smart charging strategies. In addition, a redefined scenario-based stochastic optimization is utilized to consider uncertainties in electrical and thermal loads, EVs' parameters, and renewable energy resources. The proposed approach is implemented on a small system in Espoo, Finland. The results confirm its efficiency for economically and uninterrupted supplying electrical and thermal demands simultaneously in a stand-alone hybrid system with entirely renewable resources.

Keywords: Wind turbine; PV system; Bio-waste unit; CHP; Electric vehicles parking lot; Renewable resources; Hydrogen storage; Thermal storage; Uncertainty modeling; GWO; SCA (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (4)

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DOI: 10.1016/j.apenergy.2023.120782

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