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Water-energy nexus: Impact on electrical energy conversion and mitigation by smart water resources management

机译:水能关系:智能水资源管理对电能转换和缓解的影响

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The water-energy nexus refers to the water used to generate electricity and to the electric energy used to collect, clean, move, store, and dispose of water. Water is used in all stages of electric energy conversion making power systems vulnerable to water scarcity and warming. In particular, a water flow decrease and temperature increase in rivers can significantly limit the generation of electricity. This paper investigates the issues to energy conversion stemming from the water-energy nexus and mitigates them by developing a model for the smart utilization of water resources. The objective is to minimize power curtailments caused by a river water flow decrease and a temperature increase. The developed water-energy nexus model integrates the operational characteristics of hydro power plants, the environmental conditions, the river water temperature prediction and thermal load release in river bodies. The application to a hydraulic cascade of hydro and a thermal power plants under drought conditions shows that smart water management entails a significant reduction of power curtailments. In general, the full coordination of the power outputs of the units affected by the hydrological link provides the most effective mitigations of the potential issues stemming from the water-energy nexus. Finally, critical temperature and flow regimes are identified which severely impact the energy conversion and may cause systemic risks in case the generators in one region must be simultaneously curtailed. (C) 2017 Elsevier Ltd. All rights reserved.
机译:水能联系是指用于发电的水,以及用于收集,清洁,移动,存储和处置水的电能。在电能转换的所有阶段都使用水,使电力系统容易受到缺水和变暖的影响。特别是河流水流的减少和温度的升高会严重限制电力的产生。本文研究了源于水能源关系的能源转换问题,并通过建立水资源智能利用模型来缓解这些问题。目的是最大程度地减少由于河水流量减少和温度升高引起的功率消耗。开发的水能关系模型综合了水力发电厂的运行特性,环境条件,河流水温预测和河体热负荷释放。在干旱条件下对水力发电厂和火力发电厂的水力梯级应用表明,智能水管理大大减少了电力消耗。总的来说,受水文联系影响的单位的功率输出的充分协调可以最有效地缓解水能关系带来的潜在问题。最后,确定了临界温度和流量状态,这些状态会严重影响能量转换,并可能在必须同时限制一个地区的发电机时造成系统性风险。 (C)2017 Elsevier Ltd.保留所有权利。

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