TY - JOUR
T1 - Exhaustive enumeration of heat exchanger networks with minimum utility consumption using graph-theoretic approach
AU - Orosz, Ákos
AU - How, Bing Shen
AU - Yeo, Lip Siang
AU - Turunawarasu, Dhanaraj
AU - Andiappan, Viknesh
AU - Pimentel, Jean
AU - Teng, Sin Yong
AU - Friedler, Ferenc
N1 - Funding Information:
B.S. How would like to acknowledge the financial support from Swinburne University of Technology Sarawak Campus through Swinburne Sarawak Research Supervision Grants (SSRSG) [Ref: SUTS/SoR/RMC/SSRSG/2023]. Pimentel J. would like to thank the financial support of the Government of Hungary and the European Union Recovery and Resilience Plan within the framework of the Artificial Intelligence National Laboratory Program (RRF-2.3.1-21-2022-00004).
Publisher Copyright:
© 2025 The Authors
PY - 2025/10/30
Y1 - 2025/10/30
N2 - Enhancement in energy recovery is always an essential element that requires academic spotlights to ensure its capability to contribute towards carbon neutrality. Recent works have extended to cover multi-solution heat exchanger networks (HEN) synthesis instead of generating a single best solution, which is not guaranteed to be practical. Nevertheless, owing to the technical challenges of synthesising all feasible networks, none of the existing works attempts to comprehensively elucidate how network topologies affect the network cost. To address this gap, P-HENS, a graph theoretic-based HEN synthesis tool, was utilised to generate the set of all heat exchanger networks with minimum utility consumption. Its effectiveness is demonstrated through an illustrative case study, which eventually generates more than 45,000 HENs. The impacts of structural variables on the cost, including the number of exchangers and the stream pairings, were analysed. The cost range of the networks was identified, revealing cost differences of 30 % despite minimum utility consumption or 15 % despite the minimum number of exchangers. Key stream pairs required to meet maximum energy recovery and influence cost were identified, leading to recommendations for improving solution searches. The solution set and the insight from this work are available to the research community for further analysis, offering valuable insights to enhance energy integration in the industry.
AB - Enhancement in energy recovery is always an essential element that requires academic spotlights to ensure its capability to contribute towards carbon neutrality. Recent works have extended to cover multi-solution heat exchanger networks (HEN) synthesis instead of generating a single best solution, which is not guaranteed to be practical. Nevertheless, owing to the technical challenges of synthesising all feasible networks, none of the existing works attempts to comprehensively elucidate how network topologies affect the network cost. To address this gap, P-HENS, a graph theoretic-based HEN synthesis tool, was utilised to generate the set of all heat exchanger networks with minimum utility consumption. Its effectiveness is demonstrated through an illustrative case study, which eventually generates more than 45,000 HENs. The impacts of structural variables on the cost, including the number of exchangers and the stream pairings, were analysed. The cost range of the networks was identified, revealing cost differences of 30 % despite minimum utility consumption or 15 % despite the minimum number of exchangers. Key stream pairs required to meet maximum energy recovery and influence cost were identified, leading to recommendations for improving solution searches. The solution set and the insight from this work are available to the research community for further analysis, offering valuable insights to enhance energy integration in the industry.
KW - Maximum energy recovery
KW - P-graph
KW - P-HENS
U2 - 10.1016/j.energy.2025.137898
DO - 10.1016/j.energy.2025.137898
M3 - Article
SN - 0360-5442
VL - 335
JO - Energy
JF - Energy
M1 - 137898
ER -