Coordinating Rule-Based and System-Wide Model Predictive Control Strategies to Reduce Storage Expansion of Combined Urban Drainage Systems: The Case Study of Lundtofte, Denmark

Coordinating Rule-Based and System-Wide Model Predictive Control Strategies to Reduce Storage Expansion of Combined Urban Drainage Systems: The Case Study of Lundtofte, Denmark
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协调基于规则的全系统模型预测控制策略,以减少城市综合排水系统的蓄水膨胀:丹麦 Lundtofte 的案例研究

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发表时间:
2018
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通讯作者:
L. Vezzaro
L. Vezzaro
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作者:
Elbys José Meneses;Marion Gaussens;C. Jakobsen;P. Mikkelsen;M. Grum;L. Vezzaro

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在丹麦的Lundofte集水区调查了将传统的城市排水基础设施解决方案(增加储存量)与真实的时间控制(RTC)策略相结合的环境效益,该地区计划进行昂贵的传统基础设施扩建以符合环境要求。一个协调的,基于规则的RTC策略和一个全球性的,系统范围内的基于风险的动态优化策略(模型预测控制),进行了比较,使用详细的流体动力学模型。RTC允许将计划的存储量减少21%,同时提高了系统在联合污水溢流(CSO)量、环境影响和公用事业成本方面的性能,这些方面的成本最多减少了10%。基于风险的优化策略在减少CSO量方面提供了稍好的性能,由于其能够在不同接收者的环境敏感性之间进行优先排序,因此在环境影响和公用事业成本方面有明显的改善。根据对五年期间46个事件的模拟,制定了一种从一段时间内有限数量的事件推断年度统计数据的方法,并用于估计年度业绩。这项研究表明,在规划阶段包括RTC可以降低基础设施成本,同时提供更好的环境保护,并且基于风险的动态优化可以优先考虑特别敏感地区的环境影响减少。
The environmental benefits of combining traditional infrastructure solutions for urban drainage (increasing storage volume) with real time control (RTC) strategies were investigated in the Lundofte catchment in Denmark, where an expensive traditional infrastructure expansion is planned to comply with environmental requirements. A coordinating, rule-based RTC strategy and a global, system-wide risk-based dynamic optimization strategy (model predictive control), were compared using a detailed hydrodynamic model. RTC allowed a reduction of the planned storage volume by 21% while improving the system performance in terms of combined sewer overflow (CSO) volumes, environmental impacts, and utility costs, which were reduced by up to 10%. The risk-based optimization strategy provided slightly better performance in terms of reducing CSO volumes, with evident improvements in environmental impacts and utility costs, due to its ability to prioritize among the environmental sensitivity of different recipients. A method for extrapolating annual statistics from a limited number of events over a time interval was developed and applied to estimate yearly performance, based on the simulation of 46 events over a five-year period. This study illustrates that including RTC during the planning stages reduces the infrastructural costs while offering better environmental protection, and that dynamic risk-based optimisation allows prioritising environmental impact reduction for particularly sensitive locations.