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

Francisco Javier López-Flores, Luis Germán Hernández-Pérez, Luis Fernando Lira-Barragán, Eusiel Rubio-Castro and José M. Ponce-Ortega

Energy, 2022, vol. 253, issue C

Abstract: 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.

Keywords: Allocation schemes; Interplant heat integration; Metaheuristic optimization; Deterministic optimization; Waste heat; Thermal engines (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544222009045
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:253:y:2022:i:c:s0360544222009045

DOI: 10.1016/j.energy.2022.124001

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().