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Maximizing energy efficiency of islanded micro water-energy nexus using co-optimization of water demand and energy consumption

机译:利用水需求和能耗的共同优化最大化岛状微水能Nexus的能效

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摘要

Water and energy systems are interdependent. However, at national and international levels, energy and water systems have been designed individually. To optimize the use of energy resources and have a more sustainable energy processes, a new formulation is proposed in this paper to optimize the energy consumption of water-energy systems at a community scale. More specifically, single-objective, bi-level, and co-optimization models are developed to minimize the energy consumption of a micro water distribution network concerning three scenarios: (1) standalone operation; (2) integrated with a grid-connected micro energy system with no storage unit; and (3) integrated with an off-grid micro energy system with storage units. In all conditions, a mixed integer nonlinear programming formulation is used to solve the optimization problems. Pump operations with varying statuses, flow rates, and speeds are contemplated to formulate the energy consumption of the micro water, considering a quadratic function for the pump's energy head changing with flow rate. The micro water network is designed based on a diurnal pattern of water demand for a network including 1 reservoir, 1 water tank, 6 nodes, and 2 pumps. The micro energy system includes a microgrid with a combined heat and power plant (CHP), diesel (DS) generator, natural gas (NG) generator, renewable sources (solar and wind), and energy storage units. Several case studies are carried out to compare the performance of developed optimization models.
机译:水和能量系统是相互依存的。但是,在国家和国际一级,能源和水系统已经设计了单独设计。为了优化能源的使用并具有更具可持续性的能量过程,本文提出了一种新的配方,以优化社区规模的水能系统的能耗。更具体地说,开发了单目标,双级和共同优化模型,以最大限度地减少有关三种情况的微水分配网络的能量消耗:(1)独立运行; (2)与网格连接的微能系统集成,没有存储单元; (3)与具有存储单元的离网微能系统集成。在所有条件下,混合整数非线性编程配方用于解决优化问题。考虑到泵的能量头随着流速改变的二次功能,预期具有不同状态,流速和速度的泵操作以配制微水的能量消耗。微水网络基于对网络的昼夜水需求模式设计,包括1个储存器,1个水箱,6个节点和2个泵。微型能量系统包括带有组合的热量和发电厂(CHP),柴油(DS)发电机,天然气(NG)发电机,可再生源(太阳能和风)和能量存储单元的微电池。进行了几种案例研究以比较开发的优化模型的性能。

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