A decision support system for cooling tower technologies evaluation in the oil and gas industry

IF 3.9 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Chemical Engineering Pub Date : 2024-08-23 DOI:10.1016/j.compchemeng.2024.108853

Abdolvahhab Fetanat , Mohsen Tayebi

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Abstract

Mitigating the impacts of thermal pollution caused by the oil and natural gas (O&G) industry by applying the appropriate cooling tower technology has advantages for environmental, economic, and health goals. We aim at implementing an intelligent decision support system (DSS). The DSS involves the Delphi and criteria importance through intercriteria correlation (CRITIC) integrated method (DEACRIM) and ranking of alternatives through functional mapping of criterion sub-intervals into a single interval (RAFSI) model under the linear Diophantine fuzzy set (LDFS). Ten criteria based on water-energy nexus and circularity policies and four cooling tower technologies including Natural draft cooling tower technology, Induced draft cooling tower technology, Crossflow cooling tower technology, and Forced draft cooling tower technology have been chosen for evaluation. The evaluation results reveal that the Natural draft cooling tower technology is the most suitable scenario for Iran's O&G energy system facilities in order to mitigate thermal pollution.

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石油天然气行业冷却塔技术评估决策支持系统

采用适当的冷却塔技术减轻石油和天然气（O&G）行业造成的热污染影响，对实现环境、经济和健康目标都有好处。我们的目标是实施一个智能决策支持系统（DSS）。该决策支持系统包括德尔菲法（Delphi）和通过标准间相关性（CRITIC）确定标准重要性的综合法（DEACRIM），以及在线性二叉模糊集（LDFS）下通过将标准子区间功能映射到单一区间（RAFSI）模型对备选方案进行排序。评估选择了基于水-能源关系和循环政策的 10 个标准和四种冷却塔技术，包括自然冷却塔技术、引风机冷却塔技术、横流冷却塔技术和强制引风机冷却塔技术。评估结果表明，为减轻热污染，自然冷却塔技术是最适合伊朗 O&G 能源系统设施的方案。

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来源期刊

Computers & Chemical Engineering 工程技术-工程：化工

CiteScore

8.70

自引率

14.00%

发文量

374

审稿时长

70 days

期刊介绍： Computers & Chemical Engineering is primarily a journal of record for new developments in the application of computing and systems technology to chemical engineering problems.