Optimal Profit Distribution in Interplant Waste Heat Integration through a Hybrid Approach

• Published in: Energy (Oxford) Vol. 253; p. 124001
• Main Authors: López-Flores, Francisco Javier, Hernández-Pérez, Luis Germán, Lira-Barragán, Luis Fernando, Rubio-Castro, Eusiel, Ponce-Ortega, José M.
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 15.08.2022; Elsevier BV
• Subjects: Allocation schemes; Case studies; Deterministic optimization; Engines; Heat; Heuristic methods; Industrial plants; Integration; Interplant heat integration; Iterative methods; Mathematical models; Metaheuristic optimization; Optimization; Refrigeration; Resource allocation; Revenue; Thermal engines; Visual Basic for Applications; Waste heat; Metaheuristic optimization; GAMS; CF; CONOPT; PS; MNG; Allocation schemes; Thermal engines; Interplant heat integration; Deterministic optimization; I-MODE; DICOPT; MF; TLS; Waste heat; GHGE; TR
• ISSN: 0360-5442; 1873-6785
• DOI: 10.1016/j.energy.2022.124001

Resource allocation among stakeholders has not been addressed equitably in interplant heat integration that simultaneously considers thermal engines. Therefore, this paper presents an approach to interplant heat integration and thermal engines that considers the equitable allocation of resources among the different industrial plants involved. A hybrid solution procedure based on iteration between metaheuristic optimization and deterministic optimization is used to solve the problem. Thermal engines (steam Rankine, organic Rankine, and absorption refrigeration cycles) are modeled through a process simulator and optimized using a link between MS Excel®-Visual Basic for Applications®-Aspen Plus®. Using the deterministic approach, a mathematical model is proposed to determine the individual revenues of the involved industrial plants. The incorporation of the Social Welfare, Rawlsian Welfare, and Nash schemes is proposed to find the fairest revenue allocation. A case study with four different scenarios is shown to evaluate the proposed approach. The results show different solutions for thermal engines, as well as different revenue distributions under the allocation schemes. Optimal operating conditions are found for thermal engines. Also, it is shown that for this case study the Rawlsian scheme provides a fair allocation of revenue and costs. •A mathematical formulation for the interplant heat integration is presented.•Waste heat recovery is considered and modeled in Aspen Plus®.•The solution procedure is based on a hybrid Metaheuristic-deterministic strategy.•The profit distribution among stakeholders is analyzed.