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Solar energy, especially through photovoltaic systems, is a widespread and eco-friendly renewable source. Integrating life cycle cost analysis (LCCA) optimizes economic, environmental, and performance aspects for a sustainable approach. Despite growing interest, literature lacks a comprehensive review on LCCA implementation in photovoltaic systems.
Cost–benefit has always been regarded as one of the vital factors for motivating PV-BESS integrated energy systems investment. Therefore, given the integrity of the project lifetime, an optimization model for evaluating sizing, operation simulation, and cost–benefit into the PV-BESS integrated energy systems is proposed.
The cost–benefit analysis reveals the cost superiority of PV-BESS investment compared with the pure utility grid supply. In addition, the operation simulation of the PV-BESS integrated energy system is carried out showing that how the energy arbitrage is realized.
From the investors’ point of view, the cost–benefit analysis for the PV-BESS project is accomplished in consideration of the whole project lifecycle, proving the cost superiority of PV and BESS investment. At last, sensitivity analysis of PV and BESS optimal allocation is conducted to ideally balance the PV and BESS sizes for investment.
L. Prakash et al. (Shah et al., 2022) created an independent photovoltaic stimulated strong wind electrical generator for off-grid applications in India that reduces system costs and improves hybrid model system performance.
“Scrutiny of PV biomass stand-alone hybrid system for rice mill electrification,” in Deregulated electricity market (Apple Academic Press), 135–152. Sawle, Y., Gupta, S. C., and &Bohre, A. K. (2017). Optimal sizing of standalone PV/Wind/Biomass hybrid energy system using GA and PSO optimization technique.
The abundance of availability of renewable energy in the environment in distinct forms like solar, wind, and biomass can be configured with battery banks that enhance the hybrid system’s efficiency and dependability (Diaf et al., 2007).
In this study, an off-grid PV-wind-biomass hybrid model for the remote community of Barwani, Madhya Pradesh, India, is explored for the best solution and innovative proper evaluation with two alternative methods (demand flowing and cycle charging) using GA and particle swarm optimization (PSO).
