Nonlinear operational optimization of an industrial power-to-heat system with a high temperature heat pump, a thermal energy storage and wind energy

Jasper V.M. Walden, Martin Bähr, Anselm Glade, Jens Gollasch, A. Phong Tran and Tom Lorenz

Applied Energy, 2023, vol. 344, issue C, No S0306261923006116

Abstract: The heat demand for industrial processes is often provided in the form of steam generated by various fossil fueled equipment. In order to reduce CO2 emissions, the heat demand has to be covered by renewable energy sources. Electrified steam generation relies on complex energy systems, that can be operated according to energy availability and cost developments. However, such a multi component industrial energy system poses a challenge in modeling and determining the cost- or emission-optimal operation of the system. This study develops a methodology to model a multi component industrial energy system on the basis of a case study. By optimal system operation, either costs or emissions are minimized in response to fluctuating renewable wind energy and electricity prices.

Keywords: Operational optimization; Renewable steam generation; Electrification in industry; Offline optimization; Nonlinear programming (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (7)

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DOI: 10.1016/j.apenergy.2023.121247

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