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China's roadmap to low-carbon electricity and water: Disentangling greenhouse gas (GHG) emissions from electricity-water nexus via renewable wind and solar power generation, and carbon capture and storage

机译:中国通往低碳电力和水的路线图:通过可再生风能和太阳能发电,消除水电结合产生的温室气体(GHG)排放

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摘要

Electricity and water form an intricate nexus, in that water is crucial for power generation, and electricity (or other primary forms of energy) is the key enabler for water purification and waste-water treatment. Nonetheless, both energy conversion and water purification result in substantial amounts of greenhouse gas (GHG) emissions. These negative interactions with potential "snowball" effect, can be decoupled via the deployment of renewable power generation, and carbon capture from fossil-fuelled technologies. However, such retrofits pose new challenges as wind and solar energy exhibit intermittent generation patterns. In addition, integrating thermal power plants with carbon capture and storage (CCS) imposes energy penalties and increases water requirements. In the present research, an optimization framework is developed which enables systematic decision-making for the retrofit of existing power and water infrastructure as well as investment in renewable and green technologies. A key aspect of the applied framework is the simultaneous optimization of design and operational decisions in the presence of uncertainties in the water demand, electricity demand, as well as wind and solar power availability. The proposed methodology is demonstrated for the casP of the water-electricity nexus in China, and provides in-depth insights into regional characteristics of low carbon electricity generation, and their implications for water purification and wastewater treatment, demonstrating a roadmap towards sustainable energy and electricity.
机译:电力和水是一个复杂的联系,因为水对于发电至关重要,而电力(或其他主要能源形式)是水净化和废水处理的关键推动力。但是,能量转换和水净化都会导致大量温室气体(GHG)排放。这些具有潜在“雪球”效应的负面相互作用可以通过部署可再生能源发电以及从化石燃料技术中捕集碳来消除。但是,随着风能和太阳能表现出间歇性的发电方式,这种改造提出了新的挑战。此外,将火力发电厂与碳捕集与封存(CCS)集成在一起会带来能源消耗并增加水需求。在本研究中,开发了一种优化框架,该优化框架使得能够对现有电力和水基础设施进行改造以及对可再生能源和绿色技术的投资进行系统的决策。应用框架的一个关键方面是在水需求,电力需求以及风能和太阳能的可用性存在不确定性的情况下,同时优化设计和运营决策。拟议的方法论已在中国的水电关系中得到了证明,并提供了对低碳发电的区域特征及其对水净化和废水处理的影响的深入见解,展示了实现可持续能源和电力的路线图。

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