Quantifying Resilience and Sustainability of Different Plant Operations at a Wastewater Plant Experiencing Wet Weather

IF 6.3 Q1 ENGINEERING, ENVIRONMENTAL
ACS ES&T engineering Pub Date : 2026-06-12 Epub Date: 2026-05-18 DOI:10.1021/acsestengg.6c00024
Isaac G. Musaazi, Lauren B. Stadler, Jeseth Delgado Vela
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引用次数: 0

Abstract

Water resource recovery facilities (WRRFs) face growing challenges maintaining stable nutrient removal under variable wet weather conditions. This study evaluates those challenges using data from a five-stage Bardenpho plant (7.5 MGD design capacity). Dynamic process simulation was used to measure system response to hydraulic disturbances through three resilience metrics: maximum performance reduction (mpr), recovery time (tr), and recovery phase performance reduction (rppr). Life cycle assessment (LCA) was then applied to assess how different operational responses affect environmental impacts, focusing exclusively on the liquid treatment train and excluding solids treatment processes. The results showed that direct N2O emissions dominated the plant carbon footprint within this system boundary, exceeding CH4 contributions by several orders of magnitude. Wet weather prolonged recovery times to about 6 days and raised global warming and eutrophication impacts by 20–60%. Flow equalization improved resilience by shortening recovery time and lowering environmental burdens by up to 40% through more stable hydraulic loading and reduced aeration demand. Chemical addition further improved nutrient removal but created additional upstream impacts from reagent production. Overall, resilience and environmental sustainability were not always aligned; the plant could maintain stable performance (low mpr) while still generating higher indirect emissions. These findings support the development of nutrient management strategies that balance operational stability with environmental sustainability.

Abstract Image

在经历潮湿天气的污水处理厂,量化不同工厂操作的弹性和可持续性
水资源回收设施(WRRFs)面临着越来越大的挑战,在多变的潮湿天气条件下保持稳定的养分去除。本研究使用bardenpho五级电厂(设计产能为7.5 MGD)的数据来评估这些挑战。动态过程模拟通过三个弹性指标来测量系统对液压扰动的响应:最大性能降低(mpr)、恢复时间(tr)和恢复阶段性能降低(rppr)。然后应用生命周期评估(LCA)来评估不同的操作响应如何影响环境影响,只关注液体处理过程,不包括固体处理过程。结果表明,在该系统边界内,N2O直接排放主导了植物碳足迹,超过了ch4贡献的几个数量级。潮湿的天气将恢复时间延长至6天左右,并使全球变暖和富营养化的影响增加了20-60%。通过更稳定的水力加载和减少对曝气的需求,流量均衡可以缩短恢复时间,降低高达40%的环境负担,从而提高弹性。化学添加进一步改善了营养物的去除,但也造成了来自试剂生产的额外上游影响。总体而言,复原力和环境可持续性并不总是一致的;该厂可以保持稳定的性能(低mpr),同时仍产生较高的间接排放。这些发现支持养分管理策略的发展,平衡运营稳定性和环境可持续性。
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来源期刊
ACS ES&T engineering
ACS ES&T engineering ENGINEERING, ENVIRONMENTAL-
CiteScore
8.50
自引率
0.00%
发文量
0
期刊介绍: ACS ES&T Engineering publishes impactful research and review articles across all realms of environmental technology and engineering, employing a rigorous peer-review process. As a specialized journal, it aims to provide an international platform for research and innovation, inviting contributions on materials technologies, processes, data analytics, and engineering systems that can effectively manage, protect, and remediate air, water, and soil quality, as well as treat wastes and recover resources. The journal encourages research that supports informed decision-making within complex engineered systems and is grounded in mechanistic science and analytics, describing intricate environmental engineering systems. It considers papers presenting novel advancements, spanning from laboratory discovery to field-based application. However, case or demonstration studies lacking significant scientific advancements and technological innovations are not within its scope. Contributions containing experimental and/or theoretical methods, rooted in engineering principles and integrated with knowledge from other disciplines, are welcomed.
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