Techno-econo-environmental analysis of sustainable hybrid solar-wind-biogas using municipal solid waste-based grid independent power plant with dual mode energy storage strategy
Document Type
Journal Article
Publication Title
Energy
Volume
307
Publisher
Elsevier
School
School of Engineering
Abstract
In the contemporary landscape characterized by escalating energy issues and growing worldwide environmental apprehensions, the transition towards sustainable energy assumes a critical role in enhancing the standard of living. Hybrid renewable energy systems (HRES) are increasingly seen as crucial, particularly in off-grid communities, due to their provision of dependable and sustainable electrical alternatives to conventional fossil fuels. This study evaluates the viability of an autonomous system incorporating dual-mode energy storage, as well as explores the possibilities of converting municipal solid waste (MSW) into biogas to achieve both energy and environmental advantages. This research employs NSGA-II in MATLAB environment, optimizing novel HRES for size and performance where the fundamental goals include cost-effectiveness, health hazard mitigation, and ensuring a reliable electrical supply. The findings indicate that the system under investigation exhibits an ideal energy cost of 0.1393$/kWh, carbon emissions amounting to 184283.1 kg CO2-eq/yr, a health impact of 2.56 × 10−1 DALYs, and an ecological damage footprint of 1.45 × 10−7 species⋅year. The system exhibits a job creation rate of 4.22 jobs per megawatt and attains a human development score of 0.404. Through the utilization of renewable energy sources and advanced storage technologies, it is possible to address the challenges posed by energy and environmental problems.
DOI
10.1016/j.energy.2024.132777
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Jaman, A., Das, B. K., Mahim, M., Hasan, A., Siddika, S., Ahmed, M. M., & Okonkwo, P. C. (2024). Techno-econo-environmental analysis of sustainable hybrid solar-wind-biogas using municipal solid waste-based grid independent power plant with dual mode energy storage strategy. Energy, 307. https://doi.org/10.1016/j.energy.2024.132777