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Energy models for cost-optimal analysis: Development and calibration of residential reference building models for Northern Cyprus
Indoor and Built Environment ( IF 3.6 ) Pub Date : 2021-05-31 , DOI: 10.1177/1420326x211013076
Manta Marcelinus Dakyen 1 , Mustafa Dagbasi 1 , Murat Özdenefe 2, 3
Affiliation  

Ambitious energy efficiency goals constitute an important roadmap towards attaining a low-carbon society. Thus, various building-related stakeholders have introduced regulations targeting the energy efficiency of buildings. However, some countries still lack such policies. This paper is an effort to help bridge this gap for Northern Cyprus, a country devoid of building energy regulations that still experiences electrical energy production and distribution challenges, principally by establishing reference residential buildings which can be the cornerstone for prospective building regulations. Statistical analysis of available building stock data was performed to determine existing residential reference buildings. Five residential reference buildings with distinct configurations that constituted over 75% floor area share of the sampled data emerged, with floor areas varying from 191 to 1006 m2. EnergyPlus models were developed and calibrated for five residential reference buildings against yearly measured electricity consumption. Values of Mean Bias Error (MBE) and Cumulative Variation of Root Mean Squared Error CV(RMSE) between the models’ energy consumption and real energy consumption on monthly based analysis varied within the following ranges: (MBE)monthly from –0.12% to 2.01% and CV(RMSE)monthly from 1.35% to 2.96%. Thermal energy required to maintain the models' setpoint temperatures for cooling and heating varied from 6,134 to 11,451 kWh/year.



中文翻译:

用于成本优化分析的能源模型:北塞浦路斯住宅参考建筑模型的开发和校准

雄心勃勃的能源效率目标构成了实现低碳社会的重要路线图。因此,各种与建筑相关的利益相关者都出台了针对建筑能效的法规。然而,一些国家仍然缺乏这样的政策。本文旨在帮助北塞浦路斯弥合这一差距,北塞浦路斯是一个缺乏建筑能源法规但仍然面临电能生产和分配挑战的国家,主要是通过建立参考住宅建筑,这可以成为未来建筑法规的基石。对现有建筑存量数据进行了统计分析,以确定现有的住宅参考建筑。出现了五座具有不同配置的住宅参考建筑,它们构成了采样数据的 75% 以上的建筑面积份额,2 . EnergyPlus 模型是根据每年测量的电力消耗为五座住宅参考建筑开发和校准的。基于月度分析的模型能耗与实际能耗之间的平均偏差误差 (MBE) 和均方根误差累积变化 CV(RMSE) 值在以下范围内变化: (MBE)每月从 –0.12% 到 2.01 % 和 CV(RMSE)每月从 1.35% 到 2.96%。维持模型的冷却和加热设定温度所需的热能从 6,134 到 11,451 kWh/年不等。

更新日期:2021-06-01
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