Novel decision-making strategy for working fluid selection in Organic Rankine Cycle: A case study for waste heat recovery of a marine diesel engine

Samet Gürgen and İsmail Altın

Energy, 2022, vol. 252, issue C

Abstract: The Organic Rankine Cycle (ORC) is receiving increasing attention as a waste heat recovery system. However, it is still a major challenge to quickly and practically choose the appropriate one among dozens of working fluids, considering many criteria. In this study, the comprehensive decision-making strategy for working fluid selection in ORC applications was proposed. The selection of working fluid was evaluated not only in terms of thermodynamics and economics but also considering safety and environmental concerns. A container ship was chosen for the case study. Optimization was carried out for the design condition using the Multi-Objective Gray Wolf Algorithm (MOGWA). The results obtained for 10 different working fluids were evaluated with a comprehensive decision-making strategy and R245fa was determined as the final working fluid. Moreover, off-design analyses and operational profile-based simulation were performed. The net work was calculated as 439.5772 kW and 420.1741 kW for the design condition and the overall operating condition, respectively. The electricity generation cost for the design operating condition was 0.0570 $/kWh, and this value for all conditions was calculated as 0.0596 $/kWh. Lastly, MOGWA and NSGA-II were compared to each other, and their performance was analyzed. The results showed that both algorithms had similar performance.

Keywords: Organic Rankine Cycle; Working fluid selection; Decision-making; Gray wolf algorithm (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)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:252:y:2022:i:c:s0360544222009264

DOI: 10.1016/j.energy.2022.124023

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