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| 基于情景分析的村落尺度能源碳排放效应研究 |
| Research on the energy carbon emission effect of village-scale based on scenario analysis |
| 投稿时间：2023-04-27 修订日期：2023-05-19 |
| DOI： |
| 中文关键词: 人地关系 乡村地域系统 低碳 能源碳排放 情景分析 村落 |
| 英文关键词: human-natural relationship rural territorial system low carbon energy and carbon emissions scenario analysis village |
| 基金项目:山东省人才计划(tsqn202103159)；潍坊市科技局(2021ZJ1132)；中国科学院区域发展青年学者项目(2021-003)Project supported:Shandong Rencai Program (tsqn202103159); Weifang Sci Tech. Program (2021ZJ1132); CAS Program of Young Scholar for Regional Development (2021-003) ,2,徐月萍2,汪杨3,任婉侠2,薛冰2,3 |
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| 中文摘要: |
| 展开村落尺度的低碳建设研究不仅可以提高村落的能源供给水平，充分挖掘农村资源的潜力，同时在促进绿色乡村的建设方面具有重要作用。本文以河南省邑西里村为例，通过构建碳能源体系框架，研究不同情景下的碳排放水平，进而去判断村落在低碳能源体系建设中的功能角色。结果表明：全村2020年的能源消费热值为5925 GJ，全村的碳排放量为877 t；在基准情景、慢速发展情景和快速发展情景下的2030年消费量分别为6228 GJ、6594 GJ、6955 GJ，其碳排放量分别为928 t、987 t和1046 t；如若能实现对太阳能等资源的综合利用，2030年总能源消耗自给率分别为50.76%、52.30%和53.72%。对比不同情景下的能源使用带来的碳排放量，尽管能源种类逐渐向清洁能源的方向转型，但是全村的碳排放量还是逐渐呈现出上升的趋势。因此，如何保证在居民的能源消费结构升级及转型的前提下，优化能源结构并提高村落的低碳水平仍是在未来一段时间内需要继续解决的问题。 |
| 英文摘要: |
| The research of low-carbon building at the village scale can not only enhance village energy supply and fully utilize the potential of rural resources, but it can also play an important role in promoting the construction of green villages. In this paper, we take the village of Yixili village in Henan province as an example, and explore the carbon source and sink levels of each element in the village by designing three development scenarios, and then determine the role and function of the village in the construction of a low-carbon energy system. The results showed that the calorific value of energy consumption of the village in 2020 is 5925 GJ, and the consumption in 2030 is 6228 GJ, 6594 GJ, and 6955 GJ under the baseline, conservative, and aggressive scenarios, respectively. The carbon emissions of the village in 2020 are 877 t; the carbon emissions under the baseline, conservative and aggressive scenarios are 928 t, 987 t and 1046 t. If the comprehensive utilization of solar energy and other resources can be realized, the total energy consumption self-sufficiency rates in 2030 are 50.76%, 52.30%, and 53.72%. Comparing the carbon emissions from energy use under different scenarios, the carbon emissions of the whole village gradually show an increasing trend despite the gradual transition of energy types to clean energy. Therefore, how to ensure the optimization of the energy structure and improve the low carbon level of the village under the premise of upgrading and transitioning the energy consumption structure of the residents is still a problem that needs to be continued to be addressed in the coming period. |
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