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Dispersion of participant's thermal sensation From Figure 5 can be seen that the average thermal sensation increases as the temperature increases. The data from Table 1 was used to perform an analysis of variance (ANOVA) to confirm statistically that there are differences, at least, between two the means. In fact, ANOVA is the statistic used for the following hypotheses test.

Dispersion of participant's thermal sensation From Figure 5 can be seen that the average thermal sensation increases as the temperature increases. The data from Table 1 was used to perform an analysis of variance (ANOVA) to confirm statistically that there are differences, at least, between two the means. In fact, ANOVA is the statistic used for the following hypotheses test.

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Residential and commercial buildings represent a substantial load for electric energy systems. Being the HVAC comfort system of a building an important energy load, its optimization is fundamental for energy-efficient buildings. The literature, supported by theoretical models and simulations, has reported that ceiling fans can save energy when corr...

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... 1 can be seen the thermal sensation for the participants for temperature ranging from 23.1°C to 32.7°C, followed by its mean, variance and standard deviation. The dispersion of the measurements is shown in Figure 5. Figure 5 can be seen that the average thermal sensation increases as the temperature increases. ...
Context 2
... 1 can be seen the thermal sensation for the participants for temperature ranging from 23.1°C to 32.7°C, followed by its mean, variance and standard deviation. The dispersion of the measurements is shown in Figure 5. Figure 5 can be seen that the average thermal sensation increases as the temperature increases. The data from Table 1 was used to perform an analysis of variance (ANOVA) to confirm statistically that there are differences, at least, between two the means. ...

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Citations

... For this, the paper proposes a formulation of so-called satisfaction function for the user, mixing a satisfaction function linked to comfort and a satisfaction function liked to a perceived efficient use of energy. trated on the left part of Fig. 15, an experiment has been conducted to measure feelings and compromises between comfort and energy consumption [43]. For the analysis of the result, we use a methodology of experimentation and statistical analyses inspired from those performed in experimental economy [39] to characterize the behavior of the global system with the "human-in-the-loop" approach. ...
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... The data analysis can be made according to the flowchart shown in the Fig. 3. This procedure will be applied to a real experiment conducted at G2Elab in Grenoble, described in [10], where the authors were interested in investigating whether the use of fans in a small office of the building can keep the thermal comfort level even when the room temperature increases. ...
... Bianchi et al [10], describes an experiment used to assess how the comfort feeling of a small group of people working in a small office is affected by the use of a fan. The target of such a research were to evaluate the potential of energy saving, making a combined use of HVAC systems and fans. ...
... On the first day of the experiment, there were no fans operating in the office. During the second day, a fan operated full time at the maximum speed [10]. The main objective of this experiment were to investigate whether the average thermal feeling has changed from one situation to another [10]. ...
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