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Optimizing the resource cost in multiple resources allocation problem with parametric uncertainties
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DOI：10.1016/j.cherd.2021.12.006.png)
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摘要
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A B S T R A C T Process industries often utilize a large number of valuable resources. To minimize operating costs and to promote sustainability, it is essential to prevent the overuse of resources. In conjunction with the prioritized cost concept, Pinch Analysis helps in achieving cost optimal multi-resource allocation networks. Previous works were restricted to optimizing resource allocation networks with deterministic parameters without considering uncertainties associated with them. Uncertainties in source and resource parameters are incorporated in this paper through chance-constrained programming and solved through Pinch-based and numerical optimization-based methods. The notion of prioritized cost is extended to include uncertainties in various network parameters. Based on specified reliability for the multi-resource allocation network, the proposed approach determines the optimal operating cost of the network, and the results are verified through Monte Carlo simulations. Two examples from the field of water conservation and material conservation are solved to establish the utility of the proposed method. Optimal combinations of resources are pictorially represented at different cost ratios through a novel sensitivity diagram.(c) 2021 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
Keyword:
Parametric uncertainties
Resource conservation
Resource allocation network
Chance-constrained programming
Pinch Analysis
Nonlinear optimization
期刊
IF:
3.9
论文数:
9.0K
被引数:
2.1W
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