Optimizing Investment Planning For District Heating Coupling Of Industrial Energy Systems Using MILP

Autor: Kohne, Thomas, Piendl, Daniel, Weigold, Matthias, Herberger, David, Hübner, Marco, Stich, Volker
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Proceedings of the Conference on Production Systems and Logistics: CPSL 2023-1
DOI: 10.15488/13426
Popis: Industrial energy systems are being transformed to decrease energy costs, reduce emissions, and ensure security of supply. The increasing integration of renewable energies and industrial waste heat leads to complex and interconnected industrial energy systems. At the same time, the decarbonization of the heating sector is still in its infancy and possibilities are discussed to make excess heat from industrial companies available for building supply via district heating networks or to use district heating for thermal energy supply in the industrial sector. In this paper, we present an optimization-based investment planning approach to calculate the optimal dimensioning of a potential heat transfer station connecting industrial sites to district heating systems. The approach is based on a model library that includes typical components of industrial energy systems. Moreover, it integrates different energy demands such as heating, cooling, or electricity of production systems and sites as well as waste heat of production processes depending on predominant temperature levels. The approach manages to include transformation strategies of the industrial energy system by integrating different scenarios using regret optimization, giving decision makers a better overview of the impact of the investment in a heat transfer station on the overall factory planning. The approach is applied to the planning process of an industrial company. In the use case, a positive net present value shows the benefits of an investment in a heat transfer station. Moreover, energy costs and carbon dioxide emissions can be reduced over the planning horizon and through the higher utilization of waste heat as well as the more efficient use of energy systems.
Databáze: OpenAIRE