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Their do exist very few medium scale solar photocatalytic wastewater treatment plants which are environment friendly compared to the existing conventional systems. Treatment of wastewater using solar energy reduces the use of conventional power there by reduces emission of GHG.
Integrating renewable energy sources, biogas, and solar energy could provide up to 88% of the annual energy requirements of WWTPs. Recommendations are provided for further research considering the limited availability of integrated resources for studying the simultaneous utilization of photovoltaic and biogas systems. 1. Introduction
It is foreseeable that the recovery of chemical energy with methane as an intermediate product will remain a key method of energy recovery in municipal wastewater treatment. Among chemical energy conversion pathways, AS + AD and OC + AD can be optimized by co-digestion of municipal organic waste to enhance methane production.
In addition to thermal technologies, decontamination, and disinfection processes are paramount in wastewater treatment. Developing new decontamination and disinfection systems using solar photons must gain significant attention and visibility as a promising solution for achieving effective and sustainable disinfection.
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).
