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Advanced optimal planning for microgrid technologies including hydrogen and mobility at a real microgrid testbed

Abstract

This paper investigates the optimal planning of microgrids including the hydrogen energy system through mixed-integer linear programming model. A real case study is analyzed by extending the only microgrid lab facility in Austria. The case study considers the hydrogen production via electrolysis, seasonal storage and fuelling station for meeting the hydrogen fuel demand of fuel cell vehicles, busses and trucks. The optimization is performed relative to two different reference cases which satisfy the mobility demand by diesel fuel and utility electricity based hydrogen fuel production respectively. The key results indicate that the low emission hydrogen mobility framework is achieved by high share of renewable energy sources and seasonal hydrogen storage in the microgrid. The investment optimization scenarios provide at least 66% and at most 99% carbon emission savings at increased costs of 30% and 100% respectively relative to the costs of the diesel reference case (current situation)

Funding source: Austrian Research and Promotion Agency (FFG) under the project OptEnGrid (grant no. 858815), the province of Lower Austria under the project Grundlagenforschung Smart und Microgrids (grant no. K3-F-755/001-2017) and the COMET program 2019–2023 of BEST - Bioenergy and Sustainable Technologies GmbH under the project C-52-076-0-OptInvest.
Countries: Austria ; United States
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2021-04-08
2021-09-26
http://instance.metastore.ingenta.com/content/journal2004
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