在多期MILP超级结构下,在甘生物炼厂集成生物甲醇工艺的多目标框架.
Victor Fernandes Garcia1, Reynaldo Palacios-Bereche1, Adriano Viana Ensinas2
1Center of Engineering, Modeling and Social Science Applied, Federal University of ABC, Santo André 09280, Brazil.
Entropy (Basel, Switzerland)
|November 26, 2025
概括
优化甘生物炼厂生产生物甲醇可以提高生物燃料的竞争力. 整合能源系统可以提高可持续性和经济可行性,即使面临二氧化碳报酬挑战.
科学领域:
- 生物质能源转换生物质能源转换
- 可再生能源系统可再生能源系统
- 化学工程是化学工程的组成部分.
背景情况:
- 越来越多的可再生能源需求需要先进的生物燃料生产.
- 甘生物炼油厂为可持续的生物甲醇和生物燃料生产提供了潜力.
- 优化综合流程对于经济可行性和环境效益至关重要.
研究的目的:
- 开发和优化MILP (混合整数线性编程) 超结构,用于甘生物炼厂生产生物甲醇.
- 为了提高效率,整合资源季节性,工艺选择和热集成.
- 执行多目标优化,平衡经济 (净现值) 和环境 (二氧化碳排放) 因素.
主要方法:
- 开发了一种新的MILP超结构,用于集成的生物炼油厂运营.
- 采用多目标优化来评估NPV和二氧化碳避免之间的权衡.
- 通过包油气化,二氧化碳化和生物气改造进行模拟生物甲醇生产.
- 包括通过生物甲改造和光伏电解生产气.
主要成果:
- 优化的系统实现了高达57.3%的能源效率,并避免了493公斤的二氧化碳2/甘.
- 估计的生物甲醇产量: 66.85 公斤/ (气化), 40.7 公斤/ (二氧化碳化).
- 除了热集成,效率降低了8%,净能量降低了11%.
结论:
- 综合能源系统显著提高了甘生物炼油厂的可持续性和效率.
- 二氧化碳报酬是应对经济挑战和确保项目可行性的关键.
- 这种方法突显了经济可行和环保的生物炼油厂的潜力.
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