The European Union has identified buildings as the most promising targets for improving energy efficiency and has quantified a significant energy saving potential associated with the refurbishment of a building’s envelope and the installation of new technologies. The key objective of monitoring and modelling energy profiles in buildings is to provide the necessary background on energy consumption and to allow informed decisions to be made. The modelling usually starts with the integration of energy into the activity flow charts, which is the basis for the decisions on setting up the structure of energy cost centres.

This paper evaluates the capabilities of data envelopment analysis in combination with energy cost centre based modelling for the electricity consumption analysis of a selected group of elementary schools and kindergartens. The electricity consumption data was obtained in cooperation with a local energy agency, which was acting as the energy manager for the selected group of buildings. The results confirmed the potential of combining the data envelopment analysis and the energy cost centre based modelling in order to properly identify the schools having the potential for energy efficiency improvements. Additionally, the combination of results obtained with the data envelopment analysis and the contextual parameters hidden in the structure of energy cost centres provides additional and valuable information for the energy manager and helps him with proper benchmarking of the analysed energy management practices. The results encouraged the energy manager to look for concrete opportunities to improve the energy efficiency and revealed that electricity savings of up to 14% could be achieved with better energy management in the selected group of buildings.

欧盟已将建筑物确定为提高能源效率的最有希望的目标，并量化了与翻新建筑物外壳和安装新技术相关的巨大节能潜力。监视和模拟建筑物中的能源分布的主要目标是提供必要的能源消耗背景并做出明智的决定。建模通常始于将能源整合到活动流程图中，这是建立能源成本中心结构的决策基础。

本文评估了数据包络分析的功能，结合基于能源成本中心的模型，对选定的一组小学和幼儿园的用电量进行了分析。与当地能源机构合作获得了用电量数据，该机构是所选建筑群的能源管理者。结果证实了将数据包络分析与基于能源成本中心的建模相结合的潜力，以便正确地确定具有提高能源效率潜力的学校。另外，通过数据包络分析获得的结果与隐藏在能源成本中心结构中的上下文参数的结合，为能源经理提供了更多有价值的信息，并帮助他对所分析的能源管理实践进行适当的基准测试。结果鼓励能源经理寻找提高能源效率的具体机会，并表明，通过对选定建筑物群进行更好的能源管理，可以节省多达14％的电力。