基于CCER规则的抽水蓄能碳减排计算方法
Carbon Emission Reduction Calculation Method for Pumped Storage Based on CCER Rules
徐三敏 1张弓 1王放 2蒲雷3
作者信息
- 1. 国网新源控股有限公司抽水蓄能技术经济研究院,北京 100053
- 2. 国网英大碳资产管理(上海)有限公司,上海 200434
- 3. 延安大学经济与管理学院,陕西延安 716000
- 折叠
摘要
抽水蓄能在消纳新能源、实现调峰电源清洁替代等方面发挥着显著的节能减排绿色效益.首先,阐述了目前抽水蓄能参与碳配额交易市场和自愿减排量交易市场的现状,分析了抽水蓄能在减少弃风弃光和实现调峰电源清洁替代过程中发挥减排作用的机理.然后,根据国家核证自愿减排量(Chinese certified emission reduction,CCER)方法学体系,建立了抽水蓄能碳减排项目情景与计算模型,并计算了全国 4 个区域典型电站的实际碳减排量,其中华东、华中和东北区域的电站年减排量均在 10 万～30 万t.最后,总结了区域内火电电量占比和电站综合效率是影响抽水蓄能减碳作用的关键因素.相关研究可为抽水蓄能CCER方法学开发与碳减排计量提供参考.
Abstract
Pumped storage plays a significant role in emission reduction for accomodating new energy and achieving clean replacement of peak shaving power sources.This paper describes the current situation of pumped storage participating in carbon quota trading market and voluntary emission reduction trading market,and analyzes the emission reduction mechanism of pumped storage in the process of reducing wind and photovoltaic curtailment and realizing clean replacement of peak-shaving power sources.Based on the Chinese certified emission reduction(CCER)methodology system,a pumped storage carbon emission reduction project scenario and calculation model is established,and the actual carbon emission reduction by typical pumped storage stations in 4 regions of China is calculated.The results show that the annual emission reduction by the pumped storage stations in East China,Central China and Northeast China is about 100,000 to 300,000 tons.Finally,the key factors affecting the carbon reduction effect of pumped storage are summarized as the proportion of thermal power in the region and the comprehensive efficiency of the pumped storage stations.This research can provide a reference for the development of CCER methodology for pumped storage and carbon emission reduction calculation.
关键词
抽水蓄能/国家核证自愿减排量(CCER)/碳减排机理/方法学/排放因子/基准线与项目情景Key words
pumped storage/Chinese certified emission reduction/carbon emission reduction mechanism/methodology/emission factor/baseline and project scenarios引用本文复制引用
基金项目
国家自然科学基金青年资助项目(72304237)
出版年
2024
国家科技期刊平台
NSTL
维普
万方数据