期刊
TOP
卷 30, 期 3, 页码 618-648出版社
SPRINGER
DOI: 10.1007/s11750-022-00635-3
关键词
Pipeline; Network; Energy; Supply chain; Design; Optimization; MINLP
资金
- National University of Litoral [CAI+D 2020 50620190100163LI]
- CONICET [PIP 11220200103053CO]
- Center of Advanced Process Decision-making at Carnegie Mellon University
This overview paper presents a systematic description of mathematical models proposed in recent years for the optimal design of pipeline networks in the energy industry. It provides a general framework to address these problems based on both the network topology and the physical properties of the fluids. Computational challenges are illustrated through examples from industry collaboration projects.
The optimal design of pipeline networks has inspired process systems engineers and operations research practitioners since the earliest times of mathematical programming. The nonlinear equations governing pressure drops, energy consumption and capital investments have motivated nonlinear programming (NLP) approaches and solution techniques, as well as mixed-integer nonlinear programming (MINLP) formulations and decomposition strategies. In this overview paper, we present a systematic description of the mathematical models proposed in recent years for the optimal design of pipeline networks in the energy industry. We provide a general framework to address these problems based on both the topology of the network to build, and the physical properties of the fluids to transport. We illustrate the computational challenges through several examples from industry collaboration projects, published in recent papers from our research group.
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