Harnessing urban biomass for energy and water production: an NSGA-II-based optimization approach

IF 8 Q1 ENERGY & FUELS
Parviz Heydari Nasab , Ata Chitsaz , Hiva Rashidzadeh , Alireza Rostamzadeh Khosroshahi
{"title":"Harnessing urban biomass for energy and water production: an NSGA-II-based optimization approach","authors":"Parviz Heydari Nasab ,&nbsp;Ata Chitsaz ,&nbsp;Hiva Rashidzadeh ,&nbsp;Alireza Rostamzadeh Khosroshahi","doi":"10.1016/j.nexus.2025.100449","DOIUrl":null,"url":null,"abstract":"<div><div>In this research, were propose a multiple-system that includes gasification for syngas and heat production, a Brayton cycle for power generation, and the utilization of waste heat from the turbine. This waste heat is used in a two-effect absorption refrigeration system to produce cooling and in a 24-step, multi-stage flash (MSF) desalination process to produce fresh water. A certain amount of natural gas is added as an auxiliary fuel to increase the calorific value of the syngas produced in the gasifier. The main driver is biomass from municipal solid waste due to its renewable nature and availability in all cities. This system is thermodynamically modeled using the Engineering Equation Solver (EES) software. It provides integrated analysis and investigation of the effects of energy, exergy, and the Levelized Cost Of Energy (LCOE) and Levelized Cost Of Exergy (LCOEx) in multi-objective optimization of multiple-systems to achieve maximum efficiency and minimum cost. It has been validated with similar papers. Finally, using objective functions, the (LCOE) and exergy efficiency has been optimized using MATLAB software with the Non-dominated Sorting Genetic Algorithm (NSGA II) method. The results indicate that the system achieves a net power Output of 18.756 MW, a heating capacity of 1.75 MW, a cooling capacity of 17.77 MW, and a freshwater production rate of 47.7 kg/s. The energy efficiency is calculated to be 73.51 %, with an exergy efficiency of 26.31%. The (LCOE) and (LCOEx) are 0.062 $/kWh and 0.236 $/kWh, respectively. The system is designed with a useful life of 25 years. Optimization results reveal that the optimal range for the (LCOE) is between 0.0566 and 0.0592 $/kWh, while the exergy efficiency ranges between 26.21 % and 28.09 %.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"18 ","pages":"Article 100449"},"PeriodicalIF":8.0000,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy nexus","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772427125000907","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

Abstract

In this research, were propose a multiple-system that includes gasification for syngas and heat production, a Brayton cycle for power generation, and the utilization of waste heat from the turbine. This waste heat is used in a two-effect absorption refrigeration system to produce cooling and in a 24-step, multi-stage flash (MSF) desalination process to produce fresh water. A certain amount of natural gas is added as an auxiliary fuel to increase the calorific value of the syngas produced in the gasifier. The main driver is biomass from municipal solid waste due to its renewable nature and availability in all cities. This system is thermodynamically modeled using the Engineering Equation Solver (EES) software. It provides integrated analysis and investigation of the effects of energy, exergy, and the Levelized Cost Of Energy (LCOE) and Levelized Cost Of Exergy (LCOEx) in multi-objective optimization of multiple-systems to achieve maximum efficiency and minimum cost. It has been validated with similar papers. Finally, using objective functions, the (LCOE) and exergy efficiency has been optimized using MATLAB software with the Non-dominated Sorting Genetic Algorithm (NSGA II) method. The results indicate that the system achieves a net power Output of 18.756 MW, a heating capacity of 1.75 MW, a cooling capacity of 17.77 MW, and a freshwater production rate of 47.7 kg/s. The energy efficiency is calculated to be 73.51 %, with an exergy efficiency of 26.31%. The (LCOE) and (LCOEx) are 0.062 $/kWh and 0.236 $/kWh, respectively. The system is designed with a useful life of 25 years. Optimization results reveal that the optimal range for the (LCOE) is between 0.0566 and 0.0592 $/kWh, while the exergy efficiency ranges between 26.21 % and 28.09 %.
利用城市生物质进行能源和水生产:基于nsga - ii的优化方法
在这项研究中,我们提出了一个多系统,包括气化合成气和产热,布雷顿循环发电和利用废热从涡轮机。这些余热用于双效吸收式制冷系统产生冷却效果,并用于24步多级闪蒸(MSF)脱盐过程产生淡水。加入一定量的天然气作为辅助燃料,以提高气化炉中产生的合成气的热值。主要驱动力是来自城市固体废物的生物质,因为它的可再生性质和在所有城市的可用性。利用工程方程求解器(EES)软件对该系统进行了热力学建模。它在多系统的多目标优化中提供了对能源、火用以及平准化能源成本(LCOE)和平准化能源成本(LCOEx)影响的综合分析和调查,以实现最高效率和最低成本。该方法已被类似论文验证。最后,利用MATLAB软件,采用非支配排序遗传算法(NSGA II)对LCOE和火用效率进行了目标函数优化。结果表明,该系统净输出功率为18.756 MW,供热能力为1.75 MW,制冷量为17.77 MW,淡水产量为47.7 kg/s。经计算,其能源效率为73.51%,火用效率为26.31%。(LCOE)和(LCOEx)分别为0.062 $/kWh和0.236 $/kWh。该系统的设计使用寿命为25年。优化结果表明,LCOE的最优范围为0.0566 ~ 0.0592 $/kWh,火用效率的最优范围为26.21% ~ 28.09%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Energy nexus
Energy nexus Energy (General), Ecological Modelling, Renewable Energy, Sustainability and the Environment, Water Science and Technology, Agricultural and Biological Sciences (General)
CiteScore
7.70
自引率
0.00%
发文量
0
审稿时长
109 days
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信