ZEMCH 2015 - International Conference Proceedings | Page 96

ple household during the monitoring months ranged from 0.8 (No.11) to 5.1 (No.7) m3 / (m2·month),
whereas the mean value was 2 m3/(m2·month). It was also notable that, Pcth of No1,4,5,6,10,11,12
was quite similar in value, ranged from 97.6% (No.5 ) to 100% (No.1,4,6 and 11), however, their ENG
varied far apart from 0.8 (No.11) to 3.1 (No.5) m3/(m2·month). ENG of No.5, 3.1 m3 / (m2·month), was
nearly two times as much as that of No.4 ,1.4 m3 / (m2·month), whereas Pcth of No.5 (97.6%) was
even slightly lower than that of No.4 (100%).Additionally, Household No.7 marked the highest
ENG,5.1 m3 / (m2·month) and meanwhile the lowest Pcth (78.5%) among households. This comparative analysis had made it clear that higher household gas consumption did not necessarily yields
higher comfort hour percentage proportionally. It suggested that there were potentials in energy
saving by gas boiler controlling patterns.

Figure 3: Households’ quarter gas consumption (2013), ENG and Pcth

Case study
Heating boiler controlling patterns were not only reflected on indoor thermal environment, but
also on actual gas meter reading results. As shown in Fig 3, there was no linear relationship between the ENG and Pcth. More gas consumption did not mean more comfort temperature zone
hours for those households surveyed.
When analyzing energy efficiency, several factors such as controlling patterns, gas consumption
and thermal comfort were interrelated. In the following case study, as shown in Tab.2, analysis of
those factors and temperature profiles of some of the households, No.5, 6 and 11, helped to figure
out the relationship between operation patterns (e.g. duration, intensity and frequency of use,
temperature settings, zonal controlled) and gas consumption.
Household heating controlling patterns were monitored and recorded in the room temperature
profiles, depended on not only weather condition but also user demands and interactions between occupant and equipment. They were also impacted by the house characteristics, such as
the size, family members’ age, clothing, activity, presence and absence. In the superposition of

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ZEMCH 2015 | International Conference | Bari - Lecce, Italy