Abstract
Decarbonization of the energy sector is a major initiative of the global energy transition towards sustainable development. The global supply of energy is still dominated by fossil fuels which are fast depleting. An even greater challenge is climate change due to the emission of greenhouse gases (GHG) from these fuels. Decentralized renewable-based power and other energy services may be an option to address this problem. However, the intermittency of renewable resources is another difficulty. Hybridization is the process of combining available multiple intermittent renewable energy resources. It may provide a solution for intermittency and to supply uninterrupted power to the consumers. Delivering multiple utilities with one or more inputs from a single integrated system is called polygeneration. It has to be more efficient and better economic than corresponding standalone systems delivering identical outputs from standalone systems to be acceptable. However, the selection of type and capacity of component equipment of a polygeneration needs multi-criteria optimization with defined objective functions and associated constraints. In this chapter, a few optimization studies for decentralized off-grid renewable-based polygeneration are discussed with sample case studies.
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Ray, A., Das, P., De, S. (2023). Multi-criteria Optimization for System Integration of Decentralized Off-Grid Hybrid Renewable Polygeneration. In: Fathi, M., Zio, E., Pardalos, P.M. (eds) Handbook of Smart Energy Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-97940-9_76
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DOI: https://doi.org/10.1007/978-3-030-97940-9_76
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