A framework for siting and dispatch of emerging energy resources to realize environmental and health benefits: Case study on peaker power plant displacement

被引:31
作者
Krieger, Elena M. [1 ]
Casey, Joan A. [2 ,3 ]
Shonkoff, Seth B. C. [1 ,4 ]
机构
[1] PSE Hlth Energy, Oakland, CA 94612 USA
[2] UC San Francisco, Robert Wood Johnson Fdn, Hlth & Soc Scholars Program, San Francisco, CA USA
[3] Univ Calif Berkeley, Berkeley, CA USA
[4] Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA USA
关键词
Energy storage; Demand response; Peaker power plants; Environmental metrics; Health metrics; Air pollution; AIR-POLLUTION; NATURAL-GAS; RESIDENTIAL PROXIMITY; HOSPITAL ADMISSIONS; ELECTRICITY SYSTEM; CLIMATE-CHANGE; NOX EMISSIONS; OZONE; MORTALITY; IMPACTS;
D O I
10.1016/j.enpol.2016.05.049
中图分类号
F [经济];
学科分类号
02 ;
摘要
Emerging grid resources such as energy storage and demand response have the potential to provide numerous environmental and societal benefits, but are primarily sited and operated to provide grid specific services without optimizing these co-benefits. We present a four-metric framework to identify priority regions to deploy and dispatch these technologies to displace marginal grid air emissions with high environmental and health impacts. To the standard metrics of total mass and rate of air pollutant emissions we add location and time, to prioritize emission displacement near densely populated areas with poor air quality, especially at times when air pollutant concentrations exceed regulatory standards. We illustrate our framework with a case study using storage, demand response, and other technologies to displace peaker power plants, the highest-rate marginal emitters on the California grid. We combine spatial-temporal data on plant electricity generation, air quality standard exceedance days, and population characteristics available from environmental justice screening tool CalEnviroScreen 2.0 to determine where emissions reductions may have the greatest marginal benefit. This screening approach can inform grid siting decisions, such as storage in lieu of peaker plants in high impact regions, or dispatch protocol, such as triggering demand response instead of pealcer plants on poor air quality days. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:302 / 313
页数:12
相关论文
共 59 条
[1]  
Abrams A., 2013, CECXXX2010XXX DNV KE
[2]  
ALA, 2015, TECH REP
[3]   Multi-objective planning framework for stochastic and controllable distributed energy resources [J].
Alarcon-Rodriguez, A. ;
Haesen, E. ;
Ault, G. ;
Driesen, J. ;
Belmans, R. .
IET RENEWABLE POWER GENERATION, 2009, 3 (02) :227-238
[4]   Rethinking real-time electricity pricing [J].
Allcott, Hunt .
RESOURCE AND ENERGY ECONOMICS, 2011, 33 (04) :820-842
[5]  
Amor M. B., 2014, RENEW ENERG, V69, P410
[6]  
Anaya K.L., ENERGY POLICY
[7]  
[Anonymous], 2013, 3002001162 EPRI
[8]  
[Anonymous], P 10 INT C PROB METH
[9]  
Bell M L., Am J Epidemiol
[10]   Seasonal and Regional Short-term Effects of Fine Particles on Hospital Admissions in 202 US Counties, 1999-2005 [J].
Bell, Michelle L. ;
Ebisu, Keita ;
Peng, Roger D. ;
Walker, Jemma ;
Samet, Jonathan M. ;
Zeger, Scott L. ;
Dominici, Francesca .
AMERICAN JOURNAL OF EPIDEMIOLOGY, 2008, 168 (11) :1301-1310