Robust and optimal design of multi-energy systems with seasonal storage through uncertainty analysis

Paolo Gabrielli, Florian Fürer, Georgios Mavromatidis and Marco Mazzotti

Applied Energy, 2019, vol. 238, issue C, 1192-1210

Abstract: This work proposes a framework for the robust design of multi-energy systems when limited information on the input data is available. The optimal design of a decentralized system involving renewable energy sources and energy storage technologies is considered by formulating a mixed integer linear program that determines the optimal selection, size, and operation of the system to provide energy to an end user, while minimizing its total annual costs and CO2 emissions. Different aspects related to the feasibility and the optimality resulting when operating the multi-energy system on input data different than those used for the design are studied. Input data include weather conditions, energy demands and energy prices.

Keywords: Multi-energy systems; Time-series analysis; Optimization under uncertainty; Robust design; Energy storage; Scenarios analysis (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (43)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:238:y:2019:i:c:p:1192-1210

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DOI: 10.1016/j.apenergy.2019.01.064

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