Ventilation Control Approach for Acceptable Indoor Air Quality and Enhancing Energy Saving In Thailand

2011 ◽  
Vol 9 (4) ◽  
pp. 315-326 ◽  
Author(s):  
Vorakamol Boonyayothin ◽  
Jongjit Hirunlabh ◽  
Pojanie Khummongkol ◽  
Sombat Teekasap ◽  
U–Cheul Shin ◽  
...  
Buildings ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. 110 ◽  
Author(s):  
Luca Stabile ◽  
Angelamaria Massimo ◽  
Laura Canale ◽  
Aldo Russi ◽  
Alexandro Andrade ◽  
...  

Most of the school buildings in Italy are high energy-demanding buildings with no ad-hoc ventilation systems (i.e., naturally-ventilated buildings). Therefore, reducing the heat losses of schools represent the main aspect to be dealt with. Nonetheless, the indoor air quality of the building should be simultaneously considered. Indeed, to date, energy consumptions and air quality are considered as incompatible aspects especially in naturally-ventilated buildings. The aim of the present paper is to evaluate the effect of different ventilation and airing strategies on both indoor air quality and energy consumptions in high energy-demanding naturally-ventilated classrooms. To this purpose, an Italian test-classroom, characterized in terms of air permeability and thermophysical parameters of the envelope, was investigated by means of experimental analyses and simulations through CO2 mass balance equation during the heating season. The air quality was assessed in terms of indoor CO2 concentrations whereas the energy consumptions were evaluated through the asset rating approach. Results clearly report that not adequate indoor CO2 concentrations are measured in the classroom for free-running ventilation scenarios even in low densely populated conditions (2.2 m2 person−1), whereas scheduled airing procedures can reduce the indoor CO2 levels at the cost of higher energy need for ventilation. In particular, when airing periods leading to the air exchange rate required by standards are adopted, the CO2 concentration can decrease to values lower than 1000 ppm, but the ventilation losses increase up to 36% of the overall energy need for space heating of the classroom. On the contrary, when the same air exchange rate is applied through mechanical ventilation systems equipped with heat recovery units, the ventilation energy loss contribution decreases to 5% and the overall energy saving results higher than 30%. Such energy-saving was found even higher for occupancy scenarios characterized by more densely populated conditions of the classroom typically occurring in Italian classrooms.


Atmosphere ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 110
Author(s):  
Nivetha Vadamalraj ◽  
Kishor Zingre ◽  
Subathra Seshadhri ◽  
Pandarasamy Arjunan ◽  
Seshadhri Srinivasan

Maintaining both indoor air quality (IAQ) and thermal comfort in buildings along with optimized energy consumption is a challenging problem. This investigation presents a novel design for hybrid ventilation system enabled by predictive control and soft-sensors to achieve both IAQ and thermal comfort by combining predictive control with demand controlled ventilation (DCV). First, we show that the problem of maintaining IAQ, thermal comfort and optimal energy is a multi-objective optimization problem with competing objectives, and a predictive control approach is required to smartly control the system. This leads to many implementation challenges which are addressed by designing a hybrid ventilation scheme supported by predictive control and soft-sensors. The main idea of the hybrid ventilation system is to achieve thermal comfort by varying the ON/OFF times of the air conditioners to maintain the temperature within user-defined bands using a predictive control and IAQ is maintained using Healthbox 3.0, a DCV device. Furthermore, this study also designs soft-sensors by combining the Internet of Things (IoT)-based sensors with deep-learning tools. The hardware realization of the control and IoT prototype is also discussed. The proposed novel hybrid ventilation system and the soft-sensors are demonstrated in a real research laboratory, i.e., Center for Research in Automatic Control Engineering (C-RACE) located at Kalasalingam University, India. Our results show the perceived benefits of hybrid ventilation, predictive control, and soft-sensors.


2014 ◽  
Vol 945-949 ◽  
pp. 976-979
Author(s):  
Bao Wei Liu

People are constantly committed to seeking new ways that energy saving ventilation can improve indoor air quality. In this paper, methods of theoretical analysis and numerical simulation combining established indoor ventilation jet crash fluid dynamics model to simulate the indoor air, thermal comfort and indoor air quality issues.


2011 ◽  
Vol 374-377 ◽  
pp. 639-642
Author(s):  
Yan Peng Wu ◽  
Zhi You Yue

Solar light-vent pipe system, which is a new kind of green, ecological, energy-saving construction equipment, combining natural ventilation with solar light pipe, can not only improve the architecture luminous environment, but also optimize indoor air quality. This study introduces solar light-vent pipe systems theories and the related technical key point to combine natural ventilation with solar light pipes, gives an overview of the research and development of solar light-vent pipe systems and discusses the current situation and future prospects.


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