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http://hdl.handle.net/10397/105806
Title: | Pinch-based general targeting method for predicting the optimal capital cost of heat exchanger network | Authors: | Fu, D Li, Q Li, Y Lai, Y Lu, L Dong, Z Lyu, M |
Issue Date: | Mar-2023 | Source: | Processes, Mar. 2023, v. 11, no. 3, 923 | Abstract: | Pinch analysis is vital in optimizing heat exchanger networks (HENs). Targeting methods are used when determining cost effectiveness with pinch analysis. However, the existing targeting methods for the capital cost of HEN are not suitable for wide application scenarios. Therefore, we developed a high-accuracy general capital-cost-targeting method. It is built on a final structure that was evolved from the spaghetti structure of HEN through four loop elimination stages. This structure helps to reduce the prediction deviation of the method. To achieve high adaptability while establishing this method, we considered the different heat exchanger cost categories, different cost laws for one stream pair, and area limitations of heat exchangers that may be encountered in practice. In addition, allowing streams to use individual temperature difference contributions enhances the method’s predictive capacity. The potential defects of the method found in numerical experiments and case studies were corrected with improvement measures. As a result, the accuracy and stability of the targeting method were further enhanced, with absolute target deviations generally within 10% and often within 5%. This study provides a benchmark for the optimal capital cost of HEN, allowing for a better economic effect when applying pinch analysis. | Keywords: | Capital cost target Energy recovery General method Heat exchanger network Pinch analysis Spaghetti structure |
Publisher: | MDPI AG | Journal: | Processes | EISSN: | 2227-9717 | DOI: | 10.3390/pr11030923 | Rights: | Copyright: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). The following publication Fu D, Li Q, Li Y, Lai Y, Lu L, Dong Z, Lyu M. Pinch-Based General Targeting Method for Predicting the Optimal Capital Cost of Heat Exchanger Network. Processes. 2023; 11(3):923 is available at https://doi.org/10.3390/pr11030923. |
Appears in Collections: | Journal/Magazine Article |
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processes-11-00923-v2.pdf | 3.56 MB | Adobe PDF | View/Open |
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