Water desalination using waste heat recovery of thermal power plant in tropical climate; optimization by AI

IF 7.1 Q1 ENERGY & FUELS

Energy Conversion and Management-X Pub Date : 2024-10-01 DOI:10.1016/j.ecmx.2024.100731

Ehsanolah Assareh , Mohammad Firoozzadeh , Mohammad Zoghi , Ali Zare , Yasaman Ghazi , Ali Shahin-Banna

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引用次数: 0

Abstract

The primary objective of the current research is to address the pressing issue of water scarcity in Khuzestan Province, Iran, specifically targeting the Khorramshahr gas power plant. The proposed redesign incorporates a Multi-Effect Distillation (MED) unit with Thermal Vapor Compression (TVC) and dual-pressure heat recovery steam generators. This innovative system aims to optimize cost reduction, minimize CO₂ emissions, and maximize both net output power & energy efficiency, simultaneously. The optimization process is facilitated by artificial neural networks and genetic algorithms, utilizing EES and MATLAB software. Optimized system is projected to gain more average cost of 1,912.1 $/h, reflecting the investment required for the redesign and upgrades. Water production is expected to reach 64 kg/s, and the energy efficiency is anticipated to increase by more than 10 %. CO₂ emissions are forecasted to decrease by approximately 23 %. From exergy point of view, the exergy efficiency of the system has been enhanced from 31.1 % for the conventional state to 41.7 % as the best optimized case (10.6 % improvement). In the suggested system, outlet gas exergy, with an amount of 136.9 MW, is recovered. Finally, the net power output is set to rise by around 32 %, further enhancing the overall performance of the power plant.

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利用热带气候下热电厂的余热回收进行海水淡化；通过人工智能进行优化

当前研究的主要目标是解决伊朗胡齐斯坦省水资源短缺的紧迫问题，特别是针对霍拉姆沙赫尔天然气发电厂。拟议的重新设计将多效蒸馏（MED）装置与热蒸汽压缩（TVC）和双压热回收蒸汽发生器结合在一起。这一创新系统旨在优化成本降低，最大限度地减少二氧化碳排放，同时最大限度地提高净输出功率和能效。人工神经网络和遗传算法利用 EES 和 MATLAB 软件促进了优化过程。优化后的系统预计平均成本为 1,912.1 美元/小时，反映了重新设计和升级所需的投资。产水量预计将达到 64 千克/秒，能效预计将提高 10%以上。二氧化碳排放量预计将减少约 23%。从放能角度来看，系统的放能效率已从传统状态下的 31.1% 提高到最佳优化状态下的 41.7%（提高了 10.6%）。在建议的系统中，回收了 136.9 兆瓦的出口气体放能。最后，净输出功率将增加约 32%，进一步提高了发电厂的整体性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Energy Conversion and Management-X Multiple-

CiteScore

8.80

自引率

3.20%

发文量

180

审稿时长

58 days

期刊介绍： Energy Conversion and Management: X is the open access extension of the reputable journal Energy Conversion and Management, serving as a platform for interdisciplinary research on a wide array of critical energy subjects. The journal is dedicated to publishing original contributions and in-depth technical review articles that present groundbreaking research on topics spanning energy generation, utilization, conversion, storage, transmission, conservation, management, and sustainability. The scope of Energy Conversion and Management: X encompasses various forms of energy, including mechanical, thermal, nuclear, chemical, electromagnetic, magnetic, and electric energy. It addresses all known energy resources, highlighting both conventional sources like fossil fuels and nuclear power, as well as renewable resources such as solar, biomass, hydro, wind, geothermal, and ocean energy.