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使用响应表面方法和可取性函数的多参数设计优化基于泥土的天然草稿生物质炉
Ankit Gupta1,2, Roshan Wathore3,4, Rajat Hedaoo4
1Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India. a1_gupta@neeri.res.in.
Scientific reports
|January 6, 2026
概括
这项研究优化了泥炉的设计,以提高性能. 改进的模型实现了高热效率,并显著降低了一氧化碳 (CO) 和颗粒物 (PM2.5) 排放.
科学领域:
- 工程 工程师 工程师 工程师
- 环境科学 环境科学
- 能源研究 能源研究
背景情况:
- 传统的炉有助于室内空气污染和低能效.
- 优化炉设计对于改善健康和减少燃料消耗至关重要.
研究的目的:
- 通过优化关键参数来设计和开发改进的泥.
- 评估设计参数对热效率和排放 (CO,PM2.5) 的影响.
主要方法:
- 制造具有各种设计参数的现场规模原型.
- 对热效率和排放 (CO,PM2.5) 的性能测试.
- 使用响应表面方法 (RSM) 进行建模和通过可取性函数进行优化.
主要成果:
- 在PM2.5和CO排放方面实现了Tier-3热效率和Tier-4/Tier-5.
- 优化的模型预测了效率 (26.21-33.08%),CO (1.72-2.59 g/MJd) 和PM2.5 (95-252 mg/MJd).
- 验证试验显示的平均误差低于16%.
结论:
- 分数因数设计,RSM和可取性函数对于优化生物质炉性能是有效的.
- 开发的泥炉设计在效率和减排方面提供了显著的改进.
- 这种方法为增强技术提供了一个强大的框架.
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