Optimizing design and dispatch of a renewable energy system with combined heat and power

• Published in: Optimization and engineering Vol. 23; no. 3; pp. 1 - 31
• Main Authors: Hirwa, Jusse, Ogunmodede, Oluwaseun, Zolan, Alexander, Newman, Alexandra M.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.09.2022; Springer Nature B.V; Springer
• Subjects: Cogeneration; combined heat and power systems; Control; Design optimization; efficient formulations; Engineering; Environmental Management; Financial Engineering; Incentives; Mathematics; Mathematics and Statistics; Mixed integer; mixed-integer linear optimization; Operations Research/Decision Theory; Optimization; POWER TRANSMISSION AND DISTRIBUTION; Renewable energy; Research Article; Systems Theory; Efficient formulations; Renewable energy; Mixed-integer linear optimization; Combined heat and power systems
• ISSN: 1389-4420; 1573-2924
• DOI: 10.1007/s11081-021-09674-4

We embellish a mixed-integer program that prescribes a set of renewable energy, conventional generation, and storage technologies to procure, along with a corresponding dispatch strategy. Specifically, we add combined heat and power to this set. The model minimizes fixed and operational costs less incentives for the use of various technologies, subject to a series of component interoperability and system-wide constraints. The resulting mixed-integer linear program contains hundreds of thousands of variables and constraints. We demonstrate how to efficiently formulate and solve the corresponding instances such that we produce near-optimal solutions in minutes. A previous rendition of the model required hours of solution time for the same instances.