Applied Research on Indoor Environmental Quality

Dear Colleagues,

The IEQ is a holistic concept that resumes the wellbeing of the user within a building space. More specifically, it could be considered as the aggregation of a set of different categories of comfort: indoor air quality; thermal comfort; indoor lighting quality; acoustic comfort; etc. Specific performance indicators are determined considering a set of environmental parameters for each category, allowing the assessment of the overall indoor comfort.

The importance of the IEQ and of the devices able to guarantee the best indoor conditions is strictly connected with the concept of Zero Energy Buildings (ZEB). In fact, one of the challenges in the IEQ market is the real-time monitoring of the indoor conditions aimed at allowing the best management practices related to the optimization of the comfort sensation perceived by the users and to the maximization of the efficiency of the building plants.

The Internet of Things (IoT), which is a series of smart objects connected to the network and interconnected to each other, has allowed the commencement of a technological revolution also in the field of the physical environment, improving the user’s satisfaction. Several studies have demonstrated how the application of IoT solutions and advanced algorithms (also based on machine learning techniques) is becoming a promising alternative to traditional methods of evaluation of indoor level of comfort, thus allowing to define a possible relation among environmental and subjective data provided by wearable devices.

In this context, this Special Issue intends to give you the possibility to present original research activities and innovative framework in the sphere of indoor comfort and human wellbeing.

Dr. Francesco Salamone
Dr. Matteo Ghellere
Guest Editors

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• Human-centered assessment
• IoT based solutions for IEQ monitoring
• Post-occupancy assessment
• IEQ and optimization of the energy demand in ZEB
• Pervasive technologies used to assess or improve IEQ of users
• Innovative data analysis approaches applied to IEQ
• Large monitoring campaigns for IEQ characterization of the building stock