MANGO: A novel optimization model for the long-term, multi-stage planning of decentralized multi-energy systems

Georgios Mavromatidis and Ivalin Petkov

Applied Energy, 2021, vol. 288, issue C, No S030626192100129X

Abstract: This study presents MANGO (Multi-stAge eNerGy Optimization), a novel optimization model that incorporates a multi-year planning horizon, along with flexible, multi-stage investment strategies for the effective, long-term design of decentralized multi-energy systems (D-MES). By considering the dynamic surrounding energy and techno-economic landscape that evolves over time, MANGO harnesses the strategic value of investment flexibility and can optimally phase D-MES investments in order to benefit, for instance, from projected future reduced technology costs and technical improvements. To achieve this, the model considers the most relevant dynamic aspects, such as year-to-year variations in energy demands, changing energy carrier and technology prices, technical improvements and equipment degradation. MANGO is also capable of optimizing the design of complex configurations composed of multiple, interconnected D-MES installed at different locations. Finally, the model’s formulation also addresses end-of-horizon effects that can distort solutions in multi-stage energy system models.

Keywords: Decentralized multi-energy systems; Multi-stage energy planning; Energy system design; Renewable energy; Techno-economic optimization; Mixed-integer linear programming (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (15)

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DOI: 10.1016/j.apenergy.2021.116585

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