Integrated biomass and solar power-to-gas systems for energy storage and freshwater production: A ۴E and multicriteria optimization approach

Today, rising concerns about energy shortages and environmental degradation have encouraged innovation in renewable energy sources and cutting-edge technology for capturing their full potential. The adoption of sustainable practices has resulted in the emergence of innovative cogeneration systems that incorporate municipal solid waste as a fuel source. By integrating advanced technologies—including digesters, organic Rankine cycles, multiple effect distillation, methanation, and proton exchange membranes—this system uniquely converts hydrogen and CO۲ into methane, enhancing fresh water production through heat recovery in the digestion process. We explore three multiobjective optimization scenarios employing machine learning and Greywolf algorithms to enhance system efficiency. The system has a significant CO۲ emission index of ۰.۱۶۴۹kg/kWh and total cost products of ۱۲.۹۱/GJ, with a second-law thermodynamics efficiency of ۳۲.۰۷%. In the second scenario, strategic optimization is centered around the objective of increasing efficiency and net output power, while simultaneously reducing costs. This approach yields significant enhancements, including an exergy efficiency of ۳۹.۱۳% and a net output power of ۳۰۳۶۶.۹۲ KW. Additionally, the product costs are lowered to ۷.۲۵۷۱ /GJ. These results highlight the system's cost-effectiveness and alignment with sustainability principles, offering meaningful contributions to renewable energy technologies and environmental conservation.

کلیدواژه ها:

MED (Multiple Effect Distillation) ، CO۲ capturing ، PEME (Proton Exchange Membrane Electrolyzer) ، Digester ، Methanation ، Cogeneration ، Multiobjective Optimization ، Biogas