MANGOret: An optimization framework for the long-term investment planning of building multi-energy system and envelope retrofits

Applied Energy(2022)

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摘要
This study presents MANGOret (Multi-stAge eNerGy Optimization — retrofitting), a novel optimization framework and model for the long-term investment planning of existing building retrofits. MANGOret bridges the methodological gaps between energy system modeling and real estate management to present a scalable framework to optimize both energy and non-energy costs while considering building value. With a 2050 horizon, MANGOret is able to harness the strategic value of investment flexibility to optimally phase investments across the multi-objective cost and CO2 emission decision space considering both operational and embodied emissions.
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关键词
Building retrofitting,Decentralized multi-energy systems,Real estate investment planning,Multi-stage optimization,Renewable energy,Mixed-integer linear programming
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