拉脱维亚RETROFIT-LAT:关于拉脱维亚能源效率投资的综合数据集
Αlexandros Menelaos Tzortzis1, Panagiota Rempi1, Sotiris Pelekis1
1Decision Support Systems Lab, National Technical University of Athens, Zografou, Attica, Greece.
Open research Europe
|September 18, 2025
概括
拉脱维亚RETROFIT-LAT数据集为拉脱维亚住宅建筑能效改进提供了有价值的见解. 这些数据有助于开发机器学习模型,用于预测改装结果和增强能源战略.
科学领域:
- 建筑科学 建筑科学
- 能源工程 能源工程
- 环境科学 环境科学
背景情况:
- 住宅建筑占能源消耗和二氧化碳排放的重要部门.
- 改造现有建筑物对于实现能源效率目标和可持续性目标至关重要.
- 数据驱动的方法在评估和优化能源效率措施方面越来越重要.
研究的目的:
- 介绍RETROFIT-LAT,这是拉脱维亚1010个住宅建筑改造项目的综合数据集.
- 分析改造行动和光伏装置的能源性能和可持续性影响.
- 为开发数据驱动评估和机器学习模型提供结构化数据资源,用于能源效率预测.
主要方法:
- 从拉脱维亚环境投资基金 (LEIF) 资助的1010个住宅建筑项目收集数据.
- 在改造前后对建筑物的能源性能指标 (消耗,二氧化碳排放,能源类别) 的分析.
- 包括关于光伏装置的数据,详细说明电力和初级能源的使用情况,以及二氧化碳排放的减少.
主要成果:
- 该数据集涵盖了1870年至2022年的项目,涵盖了各种建筑类型和地区.
- 提供了详细的能源性能数据,包括热损失系数和可再生能源贡献.
- 对于改造后的建筑物和太阳能电池板安装,有证据表明,二氧化碳排放量有所减少,能源类别有所改善.
结论:
- RETROFIT-LAT数据集为建筑能效研究提供了坚实的基础.
- 它促进了对能源改造结果的预测模型的开发.
- 这些数据支持政策制定者和工程师设计和评估住宅建筑的有效能源效率策略.
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