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Demand response through reject water scheduling in water resource recovery facilities: A demonstration with BSM2

机译:通过拒绝水资源恢复设施中的水调度的需求响应:BSM2的演示

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摘要

The objective of this paper is to determine the importance of integrating peak demand mitigation and future energy pricing structures for process modelling of conventional water resource recovery facilities (WRRFs) when evaluating energy cost and control strategies. The well-established benchmark simulation model (BSM2) is used to monitor energy usage, and a detailed holistic study of different flow streams is performed in order to establish potential opportunities for flexible control of WRRF energy demand. Secondly, a detailed framework is introduced to optimize scheduling control strategies for the reject water stream while considering peak electricity demand avoidance as well as completing a comprehensive energy cost model based on current and anticipated future energy tariff structures. The reject water scheduling strategies, without other active controls (e.g. aeration), revealed 63.4% average peak demand mitigation and (sic)10,755 cumulative annual energy cost savings on a 100k population equivalent WRRF without a deterioration in effluent quality. Analysis of different reject water scheduling control strategies shows that reject water scheduling can be an effective tool for energy cost optimisation under alternative electricity tariff structures. These strategies also deliver electricity peak demand mitigation. (C) 2020 The Author(s). Published by Elsevier Ltd.
机译:本文的目的是确定在评估能源成本和控制策略时,确定常规水资源回收设施(WRRF)的过程建模的峰值需求缓解和未来能量定价结构的重要性。良好的基准模拟模型(BSM2)用于监测能量使用,并进行对不同流动流的详细整体研究,以建立灵活控制WRRF能量需求的潜在机会。其次,引入了详细的框架,以优化拒绝水流的调度控制策略,同时考虑峰值电力需求避免,并根据当前和预期的未来能源关税结构完成全面的能源成本模型。拒绝水调度策略,没有其他主动控制(例如,曝气),揭示了63.4%的平均峰值需求减缓和(SIC)10,755累积年度能源成本节省了100K人口等价WRRF,没有出血质量恶化。不同拒绝水调度控制策略的分析表明,拒绝水调度可以是替代电力资费结构下能源优化的有效工具。这些策略还提供了电力峰值需求缓解。 (c)2020提交人。 elsevier有限公司出版

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