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评估一种计算机化的CCS模型与当前技术,以优化孟加拉国帕图阿卡利发电厂的环境保护。

Evaluating a computerized CCS model against current technologies to optimize environmental conservation for the Patuakhali power plant in Bangladesh.

作者信息

Islam Md Nasirul, Hossain Md Shameem, Hasan Mohammad Mujtaba, Yasmin Shehoba, Neogi Prodeepta

机构信息

Department of Petroleum and Mining Engineering, Military Institute of Science and Technology (MIST), Dhaka-1216, Bangladesh.

Department of Energy Science and Engineering, Khulna University of Engineering & Technology (KUET), Khulna -9203, Bangladesh.

出版信息

Heliyon. 2024 Aug 28;10(21):e37107. doi: 10.1016/j.heliyon.2024.e37107. eCollection 2024 Nov 15.

Abstract

Bangladesh's burgeoning focus on power generation has prompted the government to implement ambitious plans to install power plants. Among these developments is the impending operation of a 2∗660 MW coal-power station in Patuakhali, which will operate at the end of the month in December 2024. The proposed technology addresses concerns about CO emissions from a plant, potentially causing health issues and threatening plant biodiversity, but may present challenges compared to other technologies. Monoethanolamine (MEA), eutectic, and potassium taurate are potential solvents for CO capture in coal power plants due to their power absorption rate, capacity, and resilience to oxidative as well as thermal degradation. However, the significant challenges include corrosiveness, solvent loss, and high energy demand. By contrast, advanced research includes fixed and capture level reduction operating modes for carbon dioxide removal in natural gas combined cycle power plants, which is appropriate for use in natural gas combined cycle (NGCC) power plants where further research is needed for coal-fired power plants. The current generation of CO removal equipment, such as electrostatic precipitators (ESP) and flue gas desulphurization units (FGD), can remove CO at 99 % and 80 %-99 %, respectively. These devices have several serious drawbacks, including high water consumption, high costs, complex waste management, and operational errors. Additionally, equipment must be modified to increase efficiency and maximize heat rate. Notably, the moisture content in coal must be reduced from 0.6 to 5.9 %, heat must be recycled from 1.2 to 3.6 %, the steam turbine loop must be improved from 2 to 4.5 %, and advanced controls and sensors must be replaced or used up to 1.5 times. Our study, utilizing an established operational model sanctioned within the country and assessment, revealed an approximate daily carbon emission of 4.806 million kilograms from the power plant. Employing the Sundarbans' sequestration rate, we calculated a carbon tolerance level of around 4.2 million kilograms daily for the plant area. This study also highlights the potential of computerized carbon capture and storage (CCCS) technology to significantly reduce emissions in the Sundarbans, which have nearly zero levels. It compares a computerized CCS model with an existing model, estimating over 90 % reduction considering 10 % mechanical faults. Implementing a computerized system can reduce CO leaks, risks, operational efficiency, costs, and policy compliance. It ensures the security of carbon capture, transportation, and storage processes, balancing environmental preservation and economic development. Advanced technologies can reduce emissions to zero, and the captured carbon can be used for petroleum-enhanced oil recovery techniques, which are briefly described. It also offers economic benefits and carbon credits, improving air quality and ocean health by mitigating pollutants and CO emissions.

摘要

孟加拉国对发电的日益关注促使政府实施雄心勃勃的计划来建设发电厂。在这些发展项目中,帕图阿卡利一座2×660兆瓦的煤电站即将投入运营,将于2024年12月底开始运行。拟议的技术解决了人们对电厂一氧化碳排放的担忧,这种排放可能会引发健康问题并威胁植物生物多样性,但与其他技术相比可能存在挑战。单乙醇胺(MEA)、低共熔物和牛磺酸钾因其吸收能力、容量以及对氧化和热降解的耐受性,是煤电厂中潜在的二氧化碳捕获溶剂。然而,重大挑战包括腐蚀性、溶剂损失和高能源需求。相比之下,先进研究包括天然气联合循环发电厂中用于二氧化碳去除的固定和捕获水平降低运行模式,这适用于天然气联合循环(NGCC)发电厂,而燃煤发电厂则需要进一步研究。当前一代的二氧化碳去除设备,如静电除尘器(ESP)和烟气脱硫装置(FGD),分别能去除99%和80%-99%的二氧化碳。这些设备有几个严重缺点,包括高耗水量、高成本、复杂的废物管理和操作失误。此外,必须对设备进行改造以提高效率并使热效率最大化。值得注意的是,煤中的水分含量必须从0.6%降至5.9%,热量回收必须从1.2%提高到3.6%,蒸汽轮机回路必须从2%改进到4.5%,并且先进的控制和传感器必须更换或使用多达1.5次。我们利用国内批准的既定运行模型进行的研究和评估显示,该发电厂每天的碳排放约为480.6万千克。采用孙德尔本斯的封存率,我们计算出该厂区每天的碳耐受水平约为420万千克。这项研究还强调了计算机化碳捕获与封存(CCCS)技术在孙德尔本斯显著减少排放的潜力,那里的排放几乎为零。它将计算机化CCS模型与现有模型进行比较,考虑10%的机械故障时估计减排超过90%。实施计算机化系统可以减少二氧化碳泄漏、风险、提高运营效率、降低成本并符合政策要求。它确保了碳捕获、运输和储存过程中的安全,平衡了环境保护和经济发展。先进技术可以将排放降至零,捕获的碳可用于石油强化采油技术,本文对此进行了简要描述。它还带来经济效益和碳信用额度,通过减少污染物和二氧化碳排放改善空气质量和海洋健康。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b796/11570483/1185deb635b5/gr1.jpg

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