期刊
ENERGY
卷 72, 期 -, 页码 443-458出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2014.05.067
关键词
Energy system design; Large-scale integration of renewable power generation; Wind power generation; Solar PV power generation; Power transmission
资金
- National Defense Science and Engineering Graduate (NDSEG)
- National Science Foundation (NSF)
- Stanford University Charles H. Leavell Graduate Student Fellowship
- DONG Energy
- Danish Advanced Technology Foundation
A future energy system is likely to rely heavily on wind and solar PV. To quantify general features of such a weather dependent electricity supply in the contiguous US, wind and solar PV generation data are calculated, based on 32 years of weather data with temporal resolution of 1 h and spatial resolution of 40 x 40 km(2), assuming site-suitability-based and stochastic wind and solar capacity distributions. The regional wind-and-solar mixes matching load and generation closest on seasonal timescales cluster around 80% solar share, owing to the US summer load peak. This mix more than halves long-term storage requirements, compared to wind only. The mixes matching generation and load best on daily timescales lie at about 80% wind share, due to the nightly gap in solar production. Going from solar only to this mix reduces backup energy needs by about 50%. Furthermore, we calculate shifts in FERC (Federal Energy Regulatory Commission)-level LCOE (Levelized Costs Of Electricity) for wind and solar PV due to differing weather conditions. Regional LCOE vary by up to 29%, and LCOE-optimal mixes largely follow resource quality. A transmission network enhancement among FERC regions is constructed to transfer high penetrations of solar and wind across FERC boundaries, employing a novel least-cost optimization. (C) 2014 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据