Strategies for Multigeneration in Residential Energy Systems: An Optimization Approach

Danielle Bandeira Mello Delgado, Iderval Costa e Silva Neto and Monica Carvalho ()
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Danielle Bandeira Mello Delgado: Graduate Program in Mechanical Engineering, Center of Technology, Federal University of Paraiba (UFPB), João Pessoa 58051-900, Brazil
Iderval Costa e Silva Neto: Department of Informatics, Center of Informatics, Federal University of Paraiba (UFPB), João Pessoa 58051-900, Brazil
Monica Carvalho: Department of Renewable Energy Engineering, Center of Alternative and Renewable Energy, Federal University of Paraiba (UFPB), João Pessoa 58051-900, Brazil

Sustainability, 2025, vol. 17, issue 3, 1-17

Abstract: With the energy transition, energy supply trends indicate more autonomy for the final consumer, with a more decentralized, intelligent, and low-carbon scenario. Multigeneration technologies offer substantial socioeconomic and environmental advantages by enhancing the efficient utilization of energy resources. The main objective of this study is to develop a flexible, easy-to-use tool for the optimization of multigeneration systems (configuration and operation), focused on obtaining minimal annual costs. C++ was used for the implementation of the optimization problem, which was solved using IBM’s ILOG CPLEX Optimization Studio solver. The case study is a residential consumer center, with energy demands encompassing electricity (including electric vehicles), sanitary hot water, and coolth (air conditioning). The optimal economic solution indicates the installation of 102 photovoltaic modules and the use of biomass to produce hot water. When compared with a conventional solution, where all energy demands are met conventionally (no renewables nor cogeneration), the optimal economic solution reduced annual costs by 27% despite presenting capital costs 42% higher.

Keywords: polygeneration; combined energy production; mathematical programming; optimization; annual cost; buildings (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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