Systematic Literature Review of Heuristic-Optimized Microgrids and Energy-Flexible Factories

Johannes Prior (), Tobias Drees, Michael Miro and Bernd Kuhlenkötter
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Johannes Prior: Chair of Production Systems, Faculty of Mechanical Engineering, Ruhr-University Bochum, Universitätsstraße 150, 44801 Bochum, Germany
Tobias Drees: Chair of Production Systems, Faculty of Mechanical Engineering, Ruhr-University Bochum, Universitätsstraße 150, 44801 Bochum, Germany
Michael Miro: Chair of Production Systems, Faculty of Mechanical Engineering, Ruhr-University Bochum, Universitätsstraße 150, 44801 Bochum, Germany
Bernd Kuhlenkötter: Chair of Production Systems, Faculty of Mechanical Engineering, Ruhr-University Bochum, Universitätsstraße 150, 44801 Bochum, Germany

Clean Technol., 2024, vol. 6, issue 3, 1-28

Abstract: Decentralized renewable energy generation and consumption through microgrids, coupled with short- and long-term storage systems and enhanced demand flexibility, represent a promising strategy for mitigating grid stress and reducing emissions in the industrial sector. However, transitioning into a sustainable industry often poses challenges in terms of economic feasibility. This review surveys current optimization approaches and simulation functionalities to enhance feasibility. It follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, covering 1066 studies from 2016 to 2023 across three research areas: optimal system sizing of microgrids (OSS), optimization of electrical energy distribution to storage systems and consumers (EED), and energy flexibilization of factories (EF). As a result, 24 filtered sources from these areas were analyzed. Quantitative analysis indicated that evolutionary and swarm-inspired metaheuristics are predominantly applied in OSS, whereas exact linear problem solvers are favored for EED and EF optimization. A range of functionalities is available, and approaches often prioritize individual functionalities, such as load forecasting, dynamic electricity pricing, and statistical representation of energy generation, rather than comprehensively integrating them. Furthermore, no current approach simultaneously integrates optimization and simulation models across all three research areas.

Keywords: microgrid; hydrogen-based storage; optimal sizing; electrical energy distribution; energy-flexible factories; optimization; metaheuristics; systematic literature review (search for similar items in EconPapers)
JEL-codes: Q2 Q3 Q4 Q5 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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