2016
DOI: 10.1016/j.jobe.2016.08.006
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Smart innovation systems for indoor environmental quality (IEQ)

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Cited by 37 publications
(19 citation statements)
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“…As a consequence, coming up with such unexpected results (as far as this study came up with), the reasons can be investigated within the stated factors in general and for any case study in particular. Accordingly, the application of the MFOM in each and every case do not lead to the most optimal results without considering the factors discussed above, since thermal comfort (as one of the main evaluation criteria in this model) is in direct connection with user behavior [73][74][75], building characteristics and construction details [76].…”
Section: Discussionmentioning
confidence: 99%
“…As a consequence, coming up with such unexpected results (as far as this study came up with), the reasons can be investigated within the stated factors in general and for any case study in particular. Accordingly, the application of the MFOM in each and every case do not lead to the most optimal results without considering the factors discussed above, since thermal comfort (as one of the main evaluation criteria in this model) is in direct connection with user behavior [73][74][75], building characteristics and construction details [76].…”
Section: Discussionmentioning
confidence: 99%
“…Popular single-board microcontrollers like Arduino© or Raspberry Pi© have been readily adopted for the development of IEQ monitoring systems (e.g. Ali et al, 2016;Carre et al, 2016;Edirisinghe et al, 2012;Habibi, 2016;Mui et al, 2016;Salamone et al, 2015), effectively removing the limitation of carts requiring colocation of sensors through the use of autonomous, wireless technologies. But these systems appear to be proof-of-concept or project-specific tools, and therefore limited in scale.…”
Section: Technological Contextmentioning
confidence: 99%
“…The integrated software module is extremely flexible and adaptable, and the parameters can be adjusted according to the current situation, such as the number of people, equipment, exterior wall and window materials, and air-conditioning equipment. It could be used to simulate PMV and PPD, thereby enabling the identification of the reasons behind comfort issues and the comparison through simulated data with comfort requirement standards [37,38]. Accordingly, simulations using IES VE closely resemble actual situations, and the configurations that consider different situations can be directly fed back into the energy consumption data.…”
Section: Selecting the Software Package For Green Building Energy Anamentioning
confidence: 99%