【Applied Energy最新原创论文】中国低碳发展路线图:通过可再生能源和碳捕集等方式从电-水耦合关系中分离温室气

发布时间:2018-11-30 15:11

原文信息:

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

原文链接:

https://www.sciencedirect.com/science/article/pii/S030626191831657X



Highlights

  • Water treatment and power generation exhibit intricate nexus, which has GHG implications.

  • The GHG emission can be mitigated with renewable power or CCS.

  • A stochastic optimization framework was developed for multi-objective optimize of the nexus.

  • The developed program was applied to a comprehensive case study in China.

  • It was demonstrated how the renewable power and CCS can disentangle GHGs from the nexus.



导 读

     

电和水之间存在着错综复杂的耦合关系,水对发电至关重要,而电(或其他初级能源)是水净化和废水处理的关键因素。尽管如此,能源转换和水净化都会导致大量的温室气体(GHG)排放。这些具有潜在“雪球效应”的负面相互作用,可以通过发展可再生能源发电和化石燃料技术中的碳捕获来解耦。然而,这种转型带来了新的挑战,因为风能和太阳能呈现间歇性的发电模式。此外,将火电厂与碳捕捉和储存(CCS)结合起来会造成能源损失,并增加对水的需求。本研究提出了一个优化框架,可以对现有能源与水基础设施的改造以及可再生和绿色技术的投资进行系统的决策。本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可用性存在不确定性的情况下,同时优化设计和运营决策。本研究以中国的水-电耦合关系为例,深入探讨了低碳发电的区域特征及其对水净化和废水处理的影响,为可持续能源和电力发展指明了方向。



Abstract

Electricityand 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 case 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. 



Keywords

Water-electricity nexus

GHG emissions

Stochastic mixed-integer optimization

Wind and solar power




Schematics



Fig. 1. The geographical allocation of the existing electrical grid with new renewable power facilities.


Fig. 4. Operational scheduling of the stochastic scenarios (economic objective) with variation in electricity demand, wind speed, and solar irradiation.



Fig. 9. The number of new water production plants in China by 2030, for the scenario including CCS.

 关于我们 


本期小编:刘雅婷,北京师范大学环境学院硕士研究生。

                                          

《Applied Energy》是世界能源领域著名学术期刊,在全球出版巨头爱思唯尔 (Elsevier) 旗下,1975 年创刊,影响因子7.900,高被引论文ESI全球工程期刊排名第4,谷歌学术全球学术期刊第91,本刊旨在为清洁能源转换技术、能源过程和系统优化、能源效率、智慧能源、环境污染物及温室气体减排、能源与其他学科交叉融合、以及能源可持续发展等领域提供交流分享和合作的平台。

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