The synergistic role of renewable energy integration into the unit commitment of the energy water nexus

被引:41
作者
Hickman, William [1 ]
Muzhikyan, Aramazd [2 ]
Farid, Amro M. [1 ,3 ]
机构
[1] Thayer Sch Engn Dartmouth, 14 Engn Dr, Hanover, NH 03755 USA
[2] Masdar Inst Sci & Technol, POB 54224, Abu Dhabi, U Arab Emirates
[3] MIT, 77 Massachusetts Ave, Cambridge, MA 02139 USA
关键词
Energy-water nexus; Renewable energy; Renewable energy integration; Desalination; Energy storage; Unit commitment; TIME ECONOMIC-DISPATCH; STORAGE SCHEMES; OPTIMIZATION; GENERATION; SYSTEMS;
D O I
10.1016/j.renene.2017.02.063
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In recent years, significant attention has been given to renewable energy integration within the context of global climate change. In the meantime, the energy-water nexus literature has recognized that the electricity & water infrastructure that enables the production, distribution, and consumption of these two precious commodities is intertwined. While these two issues may seem unrelated, their resolution is potentially synergistic in that renewable energy technologies not only present low CO2 emissions but also low water-intensities as well. Therefore, renewable energy integration has the potential to address both sustainability concerns. And yet, renewable energy integration studies have yet to methodologically consider an integrated energy-water infrastructure. Many of these works rely on a coupled unit commitment-economic dispatch simulation. Recently, a simultaneous co-optimization method has been contributed for the economic dispatch of networks that include water, power, and co-production facilities. This paper builds upon this foundation with the development of the corresponding unit commitment problem. It demonstrates the optimization on several case studies inspired by Singapore & the Middle East. It concludes that renewable energy simultaneously reduces CO2 emissions and water withdrawals. Furthermore, it shows how water storage can help alleviate binding co-production constraints, flatten production profiles and reduce production cost levels. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:220 / 229
页数:10
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