Multizone thermal modelling and temperature control of indoor environment
Multizone thermal modelling and temperature control of indoor environment
Heating ventilation and air conditioning (HVAC) system is now an integral part of a modern building to achieve occupants' comfort by regulating air parameters like temperature, humidity, etc. So, an optimal operation of the HVAC system is necessary for building energy management but a difficult task due to nonlinear dynamics and stochastic heat gain from the outside and inside activity of a thermal system. In this paper, a temperature control strategy is demonstrated using a domestic air conditioning system for an indoor area considered as multi-zone thermal plant. The grey-box thermal resistance-capacitance based linear modelling approach is adopted to model the dynamic behaviour of an indoor thermal system and a population-based optimization technique is utilized to design an optimal proportional-integral (PI) controller to control the zone temperature by varying air volume through indoor air conditioning system in a real-time manner in presence of environmental disturbances and random occupants' movement. The results obtained demonstrate the effectiveness of the proposed control strategy.
HVAC control system, Indoor temperature control, Indoor thermal modelling, PI controller, PSO based controller tunning
Saha, Rohan
b2025b5c-d95e-4538-bc20-3f55ddcbabde
Das, Bed Prakash
59fade5c-f9c9-4eec-9b83-19a37357de06
Sharma, Kaushik Das
1267bc46-a2e4-4cf8-848d-11a56139ab52
Sengupta, Anindita
b6d7dd4f-4f54-4d11-a4d5-8e04d5b76c10
4 November 2024
Saha, Rohan
b2025b5c-d95e-4538-bc20-3f55ddcbabde
Das, Bed Prakash
59fade5c-f9c9-4eec-9b83-19a37357de06
Sharma, Kaushik Das
1267bc46-a2e4-4cf8-848d-11a56139ab52
Sengupta, Anindita
b6d7dd4f-4f54-4d11-a4d5-8e04d5b76c10
Saha, Rohan, Das, Bed Prakash, Sharma, Kaushik Das and Sengupta, Anindita
(2024)
Multizone thermal modelling and temperature control of indoor environment.
In 2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024.
IEEE.
6 pp
.
(doi:10.1109/ICCCNT61001.2024.10724373).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Heating ventilation and air conditioning (HVAC) system is now an integral part of a modern building to achieve occupants' comfort by regulating air parameters like temperature, humidity, etc. So, an optimal operation of the HVAC system is necessary for building energy management but a difficult task due to nonlinear dynamics and stochastic heat gain from the outside and inside activity of a thermal system. In this paper, a temperature control strategy is demonstrated using a domestic air conditioning system for an indoor area considered as multi-zone thermal plant. The grey-box thermal resistance-capacitance based linear modelling approach is adopted to model the dynamic behaviour of an indoor thermal system and a population-based optimization technique is utilized to design an optimal proportional-integral (PI) controller to control the zone temperature by varying air volume through indoor air conditioning system in a real-time manner in presence of environmental disturbances and random occupants' movement. The results obtained demonstrate the effectiveness of the proposed control strategy.
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Published date: 4 November 2024
Additional Information:
Publisher Copyright:
© 2024 IEEE.
Venue - Dates:
15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024, , Kamand, India, 2024-06-24 - 2024-06-28
Keywords:
HVAC control system, Indoor temperature control, Indoor thermal modelling, PI controller, PSO based controller tunning
Identifiers
Local EPrints ID: 506932
URI: http://eprints.soton.ac.uk/id/eprint/506932
PURE UUID: ad19199c-f917-438e-a7c3-204bf6eec5c0
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Date deposited: 21 Nov 2025 17:36
Last modified: 22 Nov 2025 03:15
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Contributors
Author:
Rohan Saha
Author:
Bed Prakash Das
Author:
Kaushik Das Sharma
Author:
Anindita Sengupta
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