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Optimal energy management of water-energy networks via optimal placement of pumps-as-turbines and demand response through water storage tanks

机译:通过储水罐的最佳放置和需求响应的最佳能量管理水能网络

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摘要

A sustainable water infrastructure cannot be made possible without improving its energy efficiency in terms of the consumption value and the type of supplying resources. One solution to reduce the external energy requirement of the water systems is to decrease the energy consumption, while the internal energy recovery capacity is increased. Such is achieved by the present work through (1) optimizing the water demand and tanks' and pumps' scheduling and operations and (2) installing pumps-as-turbines (PATs) where there is excess pressure head in the water. In this paper, two optimization models are developed. The first optimization problem is designed to find the optimal number and location of the PATs among the eligible positions across a water system. The optimal solution will be incorporated in the second optimization problem, i.e., an economic dispatch problem, where the cost of energy generation of an integrated water-energy system is minimized while the water and electrical load demands, as well as the hydraulic integrity of the system are satisfied. The energy system consists of conventional power generation units aggregated of natural gas and diesel based generators, solar photovoltaic units, wind generators, and battery energy storage systems. The proposed models are verified with case studies, and the numerical results show more than 30% reduction in the daily electricity consumption of water systems and $79 in daily operating cost of energy generation in water-energy systems when 3 PATs were installed at optimal locations.
机译:在不改善消费价值和供应资源的类型的情况下,不能使可持续水基础设施无法提高其能源效率。减少水系统外部能量要求的一种解决方案是降低能量消耗,而内部能量回收能力增加。这种工作通过(1)通过(1)优化水需补水和罐的调度和操作和(2)安装水中的泵 - 涡轮机(PATS),其中在水中有过压头。在本文中,开发了两个优化模型。第一个优化问题旨在在水系统中找到符合条件的位置之间的PATS的最佳数量和位置。最佳解决方案将结合在第二优化问题中,即经济派遣问题,其中集成水能系统的能量产生成本最小化,而水和电负载需求以及液压完整性系统满意。能量系统由传统的发电单元组成,这些发电单元聚集天然气和柴油基发生器,太阳能光伏单元,风力发生器和电池储能系统。通过案例研究验证了所提出的模型,数值结果显示出水系统的日常电量减少30%以上,水能系统中的每日运营成本79美元在最佳位置安装3个PATS时。

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