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Mesocosm-Scale Constructed Wetland Design for Wastewater Treatment
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在废水处理设施的综合能源灵活性管理
Jose Bolorinos1, Meagan S Mauter1, Ram Rajagopal1
1Department of Civil and Environmental Engineering, Stanford University, 473 Via Ortega, Stanford, California 94305, United States.
Environmental science & technology
|June 16, 2023
概括
废水设施可以成为使用现场电池和生物气储存的能源需求灵活性来源. 数字双胞胎模型优化了这些资源,显示了潜在的账单减少和投资回报率,但需要政策激励来实现更广泛的采用.
科学领域:
- 环境工程 环境工程
- 能源系统分析 能源系统分析
- 废水处理 废水处理
背景情况:
- 废水资源回收设施 (WRRF) 拥有未充分利用的能源灵活性资源.
- 现场电池,生物气储存和废水储存为工业能源需求灵活性提供了潜力.
- 这些资源的协调运行可以提高电网稳定性和运营效率.
研究的目的:
- 引入数字双胞胎方法来模拟WRRF中的协调能源灵活性资源.
- 评价能源灵活性干预措施,并优化WRRF的升级.
- 在各种市场条件下,评估WRRF中能源灵活性的经济可行性.
主要方法:
- 在15分钟的传感器数据上开发一个集成过程模型和统计学习的数字双胞胎.
- 模拟设施的能源和水流.
- 应用一个代搜索算法,以优化能源灵活性投资.
主要成果:
- 加利福尼亚州一家使用无氧污泥消化和生物气联发电的工厂预计将减少17%的电费和3%的年度投资回报率.
- 国家分析表明,现有的灵活性资源 (如湿天气储存) 有显著的好处.
- 新能源灵活性投资在没有使用时间激励或热联产的情况下显示出有限的利能力.
结论:
- WRRF可以成为工业能源需求灵活性的重要来源.
- 政策激励和广泛采用热联产对于提高能源灵活性干预措施的利能力至关重要.
- 建议通过补贴贷款为废水部门的能源灵活性升级提供资金.
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