适应性优化混合蒸汽和CO2改造以从可变生物气料中生产气
Abdulrahman H Ba-Alawi1, Hegwon Chung2, Jiyong Kim2
1Department of Computer Science and Engineering, Sejong University, Seoul 05006, South Korea.
Bioresource technology
|February 26, 2026
概括
由于生物气的组成变化,生物气转化为气面临着挑战. 一个新的数字双胞胎优化框架通过适应不断变化的原料,降低成本和二氧化碳排放,使高效的生物生产成为可能.
科学领域:
- 可持续的能源技术 可持续的能源技术
- 化学工程是化学工程的组成部分.
- 废弃物价值化 废弃物价值化 废弃物价值化
背景情况:
- 生物气转化为 (B2H2) 是一种可持续的方法,通过无氧消化 (AD) 来从有机废物中产生清洁能源.
- 生物气组成的时间变化对B2H2过程中直接改革反应的效率和稳定性产生负面影响.
- 优化B2H2过程需要解决生物气原料的动态性质.
研究的目的:
- 系统地研究生物气变异对B2H2过程的影响.
- 开发和验证一个新的多任务数字双胞胎优化 (MT-DTO) 框架,用于自适应B2H2操作.
- 在可变的沼气条件下评估B2H2工艺的技术经济环境性能.
主要方法:
- 对B2H2过程进行全面的参数分析和技术经济环境评估.
- 开发一个多任务数字双胞胎优化 (MT-DTO) 框架,整合深度学习,进化算法和分类.
- 验证MT-DTO框架使用来自全规模无氧消化工厂的真实生物气数据.
主要成果:
- 将生物气中的甲含量从55%提高到75%,降低了单位生产成本 (UPC) 并提高了生产效率 (EFF).
- 混合蒸汽和二氧化碳改造 (CSCR) 的操作温度显著影响UPC,净二氧化碳排放 (NCE) 和EFF.
- MT-DTO框架显示了减少年度运营成本和减少二氧化碳排放的潜力.
结论:
- 开发的MT-DTO框架允许从可变的沼气原料中高效地生产生物.
- 适应性操作策略对于优化废物转化系统至关重要.
- 这些发现为设计和运营可持续的B2H2设施提供了实际指导.
相关概念视频
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