Least-cost targets and avoided fossil fuel capacity in India’s pursuit of renewable energy

Author:

Deshmukh RanjitORCID,Phadke Amol,Callaway Duncan S.

Abstract

India has set aggressive targets to install more than 400 GW of wind and solar electricity generation by 2030, with more than two-thirds of that capacity coming from solar. This paper examines the electricity and carbon mitigation costs to reliably operate India’s grid in 2030 for a variety of wind and solar targets (200 GW to 600 GW) and the most promising options for reducing these costs. We find that systems where solar photovoltaic comprises only 25 to 50% of the total renewable target have the lowest carbon mitigation costs in most scenarios. This result invites a reexamination of India’s proposed solar-majority targets. We also find that, compared to other regions and contrary to prevailing assumptions, meeting high renewable targets will avoid building very few new fossil fuel (coal and natural gas) power plants because of India’s specific weather patterns and need to meet peak electricity demand. However, building 600 GW of renewable capacity, with the majority being wind plants, reduces how often fossil fuel power plants run, and this amount of capacity can hold India’s 2030 emissions below 2018 levels for less than the social cost of carbon. With likely wind and solar cost declines and increases in coal energy costs, balanced or wind-majority high renewable energy systems (600 GW or ≈ 45% share by energy) could result in electricity costs similar to a fossil fuel-dominated system. As an alternative strategy for meeting peak electricity demand, battery storage can avert the need for new fossil fuel capacity but is cost effective only at low capital costs (≈ USD 150 per kWh).

Funder

ITRI-Rosenfeld Postdoctoral Fellowship, Lawrence Berkeley National Laboratory

National Science Foundation

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

Reference49 articles.

1. World Resources Institute , “Climate analysis indicators tool: WRI’s climate data explorer” (World Resources Institute, Washington, DC, 2018). http://cait.wri.org/. Accessed 1 February 2019.

2. International Energy Agency , “World energy outlook 2018” (International Energy Agency, 2018). www.iea.org. Accessed 1 February 2019.

3. Government of India , “India’s intended nationally determined contribution: Working towards climate justice” (Government of India, 2016). https://www4.unfccc.int/sites/ndcstaging/PublishedDocuments/India%20First/INDIA%20INDC%20TO%20UNFCCC.pdf. Accessed 1 February 2019.

4. Central Electricity Authority , “Report on optimal generation capacity mix for 2029-30” (Government of India, 2019). https://cea.nic.in/old/reports/others/planning/irp/Optimal_mix_report_2029-30_FINAL.pdf. Accessed 1 February 2019.

5. International Energy Agency , “Renewables 2017: Analysis and forecasts to 2022” (International Energy Agency, 2017). https://doi.org/10.1787/re_mar-2017-en. Accessed 1 February 2019.

Cited by 26 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3