清洁空气的智能解决方案:以人工智能为导向的方法,在燃煤发电厂中可持续控制工业污染
Juin Yau Lim1, Sin Yong Teng2, Bing Shen How3
1Integrated Engineering, Dept. of Environmental Science and Engineering, College of Engineering, Kyung Hee University, 1732 Deogyeong-daero, Giheung-gu, Yongin-Si, Gyeonggi-do, 17104, Republic of Korea; Korea Biochar Research Center, APRU Sustainable Waste Management Program & Division of Environmental Science and Ecological Engineering, Korea University, Seoul, 02841, Republic of Korea.
Environmental pollution (Barking, Essex : 1987)
|August 9, 2023
概括
这项研究优化了煤电厂空气污染控制. 一个使用再燃,海水脱硫和干静电沉器的人工智能驱动系统显著提高了环境质量和可靠性.
科学领域:
- 环境工程 环境工程
- 人工智能的人工智能
- 化学工程是化学工程的重要组成部分.
背景情况:
- 化石燃料对能源至关重要,但会造成严重的空气污染 (NOx,SOx,颗粒物).
- 现有的空气污染物控制系统面临着效率下降和运营挑战.
- 优化这些系统对于可持续能源生产至关重要.
研究的目的:
- 评估并为燃煤电厂提出一个升级的空气污染物控制系统.
- 确定最可持续的配置,平衡经济,环境和可靠性因素.
- 在各种排放场景下评估拟议系统的性能.
主要方法:
- 利用长达一年的烟气污染物的数据集.
- 使用变量自编码器重建未经处理的烟气.
- 开发了一个超结构模型,采用各种处理技术 (再燃,海水脱硫,干式ESP).
- 采用人工智能 (AI) 模型进行配置选择.
- 执行了蒙特卡洛模拟,用于场景评估.
主要成果:
- 确定了一个最佳的配置:再燃,海水脱硫和干燥的静电沉器.
- 拟议的系统实现了每年4410万美元的成本.
- 环境质量指数为0.67,可靠性指数为0.87.
- 该系统有效地处理了更严格的排放限制.
结论:
- 人工智能优化的空气污染物控制系统为燃煤发电厂提供了可持续的解决方案.
- 综合方法显著提高了环境保护和运营可靠性.
- 这项研究为能源部门升级排放控制技术提供了一个框架.
相关概念视频
00:46Bioremediation
19.0K
Bioremediation is the use of prokaryotes, fungi, or plants to remove pollutants from the environment. This process has been used to remove harmful toxins in groundwater as a byproduct of agricultural run-off and also to clean up oil spills.
19.0K
01:30Environmental Applications of Microorganisms
61
Microorganisms play a pivotal role in maintaining ecosystem balance by recycling essential elements such as carbon, nitrogen, and phosphorus, as well as supporting processes like bioremediation, wastewater treatment, and biofuel production.Microbes in Elemental CyclesIn the carbon cycle, microorganisms decompose organic matter, releasing carbon dioxide via aerobic respiration. This carbon dioxide is subsequently used by photosynthetic organisms to synthesize organic compounds, closing the...
61