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Study on the influence of maintenance operations on energy consumption and emissions in healthcare centres by fuzzy cognitive maps
Journal of Building Performance Simulation ( IF 2.2 ) Pub Date : 2018-11-19 , DOI: 10.1080/19401493.2018.1543351
Enrique Martinez de Salazar 1 , Justo García Sanz-Calcedo 1
Affiliation  

The present work is aimed at performing a qualitative analysis of the effect of maintenance intensity on energy consumption, energy costs and emissions in healthcare centres. Most relevant variables involved in the maximization of the building efficiency were determined by means of fuzzy cognitive maps. Twelve variables were observed to show a direct connection to the energy and environmental efficiency as well as to its maintenance condition. The joint effect of these factors was seen to improve the overall performance of the building in terms of efficiency. However, even though maintenance appeared as one of the most highly-rated variables, it did not seem to affect the overall performance by itself, but it was rather due to the synergistic action of the remaining variables. The behaviour of those variables was evidenced to show a significant change for buildings below 1250 m2 floor area as compared to those exceeding such threshold value.



中文翻译:

用模糊认知图研究维护操作对医疗中心能耗和排放的影响

本工作旨在对维护强度对医疗中心能耗,能源成本和排放的影响进行定性分析。借助模糊认知图确定了建筑效率最大化中涉及的大多数相关变量。观察到十二个变量显示出与能源和环境效率及其维护条件的直接联系。这些因素的共同作用被认为可以提高建筑物的整体性能。但是,即使维护它似乎是评分最高的变量之一,它本身似乎并没有影响整体性能,但这是由于其余变量的协同作用所致。事实证明,与那些超过该阈值的建筑物相比,这些变量的行为对于建筑面积低于1250 m 2的建筑物显示出显着变化。

更新日期:2018-11-19
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