Gutiérrez González Vicente, Ramos Ruiz Germán, Fernández Bandera Carlos
School of Architecture, University of Navarra, Pamplona 31009, Spain.
Sensors (Basel). 2020 Sep 3;20(17):5003. doi: 10.3390/s20175003.
The digital world is spreading to all sectors of the economy, and Industry 4.0, with the digital twin, is a reality in the building sector. Energy reduction and decarbonization in buildings are urgently required. Models are the base for prediction and preparedness for uncertainty. Building energy models have been a growing field for a long time. This paper proposes a novel calibration methodology for a building energy model based on two pillars: simplicity, because there is an important reduction in the number of parameters (four) to be adjusted, and cost-effectiveness, because the methodology minimizes the number of sensors provided to perform the process by 47.5%. The new methodology was validated empirically and comparatively based on a previous work carried out in Annex 58 of the International Energy Agency (IEA). The use of a tested and structured experiment adds value to the results obtained.
数字世界正在渗透到经济的各个领域,而拥有数字孪生的工业4.0在建筑领域已成为现实。建筑领域迫切需要实现能源减排和脱碳。模型是预测和应对不确定性的基础。长期以来,建筑能源模型一直是一个不断发展的领域。本文基于两个支柱提出了一种新颖的建筑能源模型校准方法:一是简单性,因为需要调整的参数数量(四个)大幅减少;二是成本效益,因为该方法将用于执行该过程的传感器数量减少了47.5%。基于国际能源署(IEA)附件58中先前开展的一项工作,对新方法进行了实证验证和比较验证。采用经过测试的结构化实验为所获得的结果增添了价值。