Hybrid Ventilation System and Soft-Sensors for Maintaining Indoor Air Quality and Thermal Comfort in Buildings

Vadamalraj, Nivetha; Zingre, Kishor T.; Seshadhri, Subathra; Arjunan, Pandarasamy; Srinivasan, Seshadhri

doi:10.3390/atmos11010110

Cited by 9 publications

(3 citation statements)

References 23 publications

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“…Recently, some reports have focused on the applications of soft sensors in heating, ventilation, and air-conditioning systems. Vadamalraj et al [14] designed a hybrid ventilation system implemented by soft sensors and predictive control. The cooling load and indoor air quality were predicted using soft sensors based on neural networks.…”

Section: Literature Reviewmentioning

confidence: 99%

Soft-Sensor Modeling of Temperature Variation in a Room under Cooling Conditions

Sakurai

Sato

et al. 2023

Energies

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Non-uniform temperature distributions in air-conditioned areas can reduce the energy efficiency of air conditioners and cause uncomfortable thermal sensations for occupants. Furthermore, it is impractical to use physical sensors to measure the local temperature at every position. This study developed a soft-sensing model that integrates the fundamentals of thermodynamics and transport phenomena to predict the temperature at the target position in space. Water experiments were conducted to simulate indoor conditions in an air-conditioning cooling mode. The transient temperatures of various positions were measured for model training and validation. The velocity vectors of water flow were acquired using the particle image velocimetry method. Correlation analysis of various positions was conducted to select the input variable. The soft-sensing model was developed using the multiple linear regression method. The model for the top layer was modified by the correction of dead time. The experimental results showed the temperature inhomogeneity between different layers. The temperature at each target position under two initial temperatures and two flow rates was accurately predicted with a mean absolute error within 0.69 K. Moreover, the temperature under different flow rates can be predicted with one model. Therefore, this soft-sensing model has the potential to be integrated into air-conditioning systems.

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Section: Literature Reviewmentioning

confidence: 99%

Soft-Sensor Modeling of Temperature Variation in a Room under Cooling Conditions

Sakurai

Sato

et al. 2023

Energies

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“…Demand control ventilation (DCV) is a mechanical ventilation system that is controlled automatically based on sensors. It can provide savings of approximately 21.4% [38].…”

Section: Factors Affected Hybrid Ventilationmentioning

confidence: 99%

A review of hybrid ventilation on humid tropics climate

Soebiyan

Koerniawan

Triyadi

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Green building has aspects which one is referred to the energy efficiency. Energy consumption is mainly due to mechanical ventilation (MV) therefore it is the key to building energy efficiency. The utilization of hybrid ventilation (HV) by incorporating natural ventilation (NV) into the ventilation system has the potential to save energy. Humid tropics has high temperature and humidity causing uncomfortable thermal condition. It poses a challenge to utilize ventilation systems in this climate effectively. This study examines the potential of HV in humid tropical climates related to research methods and HV strategies applied. The literature review was carried out on a number of papers Scopus based indexed which investigated HV extensively associated with humid tropical climates. Some references were collected from several sources to find case studies. Only several studies were conducted on HV in humid tropical climates. Mainly the research was carried out on thermal comfort, efficiency, and HV strategies with a numerical simulation that focuses on improving NV capabilities.

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“…The solution that combines energy efficiency with an appropriate IAQ and thermal comfort is hybrid ventilation. When it is equipped with automatic regulation with soft-sensors [75], successfully this fulfils its task. In the literature [76], an analysis of indoor air quality was carried out using natural and mechanical ventilation, taking into account energy consumption.…”

Section: Improving the Indoor Air Qualitymentioning

confidence: 99%

Review of IAQ in Premises Equipped with Façade–Ventilation Systems

Zender–Świercz

2021

Atmosphere

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Poor indoor air quality affects the health of the occupants of a given structure or building. It reduces the effectiveness of learning and work efficiency. Among many pollutants, PM 2.5 and 10 dusts are extremely important. They can be eliminated using mechanical ventilation equipped with filters. Façade ventilation devices are used as a way to improve indoor air quality (IAQ) in existing buildings. For their analysis, researchers used carbon dioxide as a tracer gas. They have shown that façade ventilation devices are an effective way to improve IAQ, but require further analysis due to the sensitivity of façade ventilation devices to the effects of wind and outdoor temperature. In addition, legal regulations in some countries require verification in order to enable the use of this type of solution as a way to improve IAQ in an era characterised by the effort to transform buildings into passive houses (standard for energy efficiency in a building).

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Hybrid Ventilation System and Soft-Sensors for Maintaining Indoor Air Quality and Thermal Comfort in Buildings

Cited by 9 publications

References 23 publications

Soft-Sensor Modeling of Temperature Variation in a Room under Cooling Conditions

Soft-Sensor Modeling of Temperature Variation in a Room under Cooling Conditions

A review of hybrid ventilation on humid tropics climate

Review of IAQ in Premises Equipped with Façade–Ventilation Systems

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