Multi-objective optimization of energy and greenhouse gas emissions in water pumping and treatment

被引:8
|
作者
Cardenes, Iliana [1 ]
Siddiqi, Afreen [2 ,3 ]
Naeini, Mohammad Mortazavi [1 ]
Hall, Jim W. [1 ]
机构
[1] Univ Oxford, Oxford Univ, Environm Change Inst, Ctr Environm, S Parks Rd, Oxford, England
[2] MIT, Inst Data Syst & Soc, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[3] Harvard Kennedy Sch, Belfer Ctr Sci & Int Affairs, Cambridge, MA USA
关键词
energy efficiency; energy intensity; energy operations; optimization; urban infrastructure; water-energy nexus; ROBUST DECISION-MAKING; EVOLUTIONARY ALGORITHMS; DISTRIBUTION-SYSTEMS; COST; INTENSITY;
D O I
10.2166/wst.2020.507
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A large part of operating costs in urban water supply networks is usually due to energy use, mostly in the form of electricity consumption. There is growing pressure to reduce energy use to help save operational costs and reduce carbon emissions. However, in practice, reducing these costs has proved to be challenging because of the complexity of the systems. Indeed, many water utilities have concluded that they cannot practically achieve further energy savings in the operation of their water supply systems. This study shows how a hybrid linear and multi-objective optimization approach can be used to identify key energy consumption elements in a water supply system, and then evaluate the amount of investment needed to achieve significant operational gains at those points in the supply network. In application to the water supply system for the city of London, the method has shown that up to 18% savings in daily energy consumption are achievable. The optimal results are sensitive to discount rate and the financial value placed on greenhouse gas emissions. Valuation of greenhouse gas emissions is necessary to incentivise high levels of energy efficiency. The methodology can be used to inform planning and investment decisions, with specific focus on reducing energy consumption, for existing urban water supply systems.
引用
收藏
页码:2745 / 2760
页数:16
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