Optimisation of occupant comfort and energy consumption in indoor environments: responsive homes through Digital Twin and building automation integration

Kushani Semasinghe; Srinath Perera; Xiaohua Jin; Marini Samaratunga; Samudaya Nanayakkara

doi:10.7771/3067-4883.1902

Optimisation of occupant comfort and energy consumption in indoor environments: responsive homes through Digital Twin and building automation integration

Kushani Semasinghe, Srinath Perera, Xiaohua Jin, Marini Samaratunga, Samudaya Nanayakkara

School of Engineering, Design & Built Environment

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

Abstract

Purpose: Building Automation System (BAS) presents encouraging opportunities to optimise energy consumption while elevating occupants’ thermal comfort. BAS ranges from regular thermostatic valves to home automation systems (HAS), in residential buildings. Well-designed HAS advantage in occupant spaces, providing optimum occupant comfort and energy efficiency. However, not accompanying essential parameters such as real-time climate conditions and occupancy thermal behaviour prevent real-time responsive HAS developments. Existing studies demonstrate an elevated need for efficient HAS, which can potentially consider these significant influencing factors with real-time responses. A developed approach that considers these dynamic changes provides an accurate HAS that addresses the current performance gap.
Research Design: Digital Twin (DT) serves as a core platform for real-time monitoring and control of the building, it enables automated controls to adjust Heating Ventilation Air Conditioning (HVAC) systems and other services to enhance occupants’ comforts by integrating with the BAS. Therefore, this study explores the opportunities for integrating Digital Twin technology into the HAS to create more human-centric indoor environment conditions while reducing the energy performance gap in home energy management systems. Therefore, this study aims to develop a Home Automation System using AI (AI), Machine Learning (ML), and Digital Twin (DT).
Outcome: High-responsive home automation system using AI, ML, and DT.
Contribution: The findings of this study contribute to developing high responsive BAS through AI, ML, and DT.
Keywords
Artificial intelligence (AI), Digital Twin (DT), Home Automation

Original language	English
Title of host publication	Proceedings of the 23rd CIB World Building Congress (WBC2025), 19-23 May 2025, Purdue University, West Lafayette, USA
Editors	Makarand Hastak, Zeljko Torbica, Bryan J. Hubbard, Deniz Besiktepe, Sogand Hasanzadeh, Kyubyung Kang
Place of Publication	U.S.
Publisher	Purdue University
Number of pages	11
DOIs	https://doi.org/10.7771/3067-4883.1902
Publication status	Published - 2025
Event	CIB Congress - Purdue University, West Lafayette, United States Duration: 19 May 2025 → 23 May 2025 Conference number: 23rd

Conference

Conference	CIB Congress
Country/Territory	United States
City	West Lafayette
Period	19/05/25 → 23/05/25

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10.7771/3067-4883.1902

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Semasinghe, K., Perera, S., Jin, X., Samaratunga, M., & Nanayakkara, S. (2025). Optimisation of occupant comfort and energy consumption in indoor environments: responsive homes through Digital Twin and building automation integration. In M. Hastak, Z. Torbica, B. J. Hubbard, D. Besiktepe, S. Hasanzadeh, & K. Kang (Eds.), Proceedings of the 23rd CIB World Building Congress (WBC2025), 19-23 May 2025, Purdue University, West Lafayette, USA Article 154 Purdue University. https://doi.org/10.7771/3067-4883.1902

Semasinghe, Kushani ; Perera, Srinath ; Jin, Xiaohua et al. / Optimisation of occupant comfort and energy consumption in indoor environments: responsive homes through Digital Twin and building automation integration. Proceedings of the 23rd CIB World Building Congress (WBC2025), 19-23 May 2025, Purdue University, West Lafayette, USA. editor / Makarand Hastak ; Zeljko Torbica ; Bryan J. Hubbard ; Deniz Besiktepe ; Sogand Hasanzadeh ; Kyubyung Kang. U.S. : Purdue University, 2025.

@inproceedings{936cb4a2a1794350af5ab94f259b9010,

title = "Optimisation of occupant comfort and energy consumption in indoor environments: responsive homes through Digital Twin and building automation integration",

abstract = "Purpose: Building Automation System (BAS) presents encouraging opportunities to optimise energy consumption while elevating occupants{\textquoteright} thermal comfort. BAS ranges from regular thermostatic valves to home automation systems (HAS), in residential buildings. Well-designed HAS advantage in occupant spaces, providing optimum occupant comfort and energy efficiency. However, not accompanying essential parameters such as real-time climate conditions and occupancy thermal behaviour prevent real-time responsive HAS developments. Existing studies demonstrate an elevated need for efficient HAS, which can potentially consider these significant influencing factors with real-time responses. A developed approach that considers these dynamic changes provides an accurate HAS that addresses the current performance gap.Research Design: Digital Twin (DT) serves as a core platform for real-time monitoring and control of the building, it enables automated controls to adjust Heating Ventilation Air Conditioning (HVAC) systems and other services to enhance occupants{\textquoteright} comforts by integrating with the BAS. Therefore, this study explores the opportunities for integrating Digital Twin technology into the HAS to create more human-centric indoor environment conditions while reducing the energy performance gap in home energy management systems. Therefore, this study aims to develop a Home Automation System using AI (AI), Machine Learning (ML), and Digital Twin (DT).Outcome: High-responsive home automation system using AI, ML, and DT.Contribution: The findings of this study contribute to developing high responsive BAS through AI, ML, and DT.KeywordsArtificial intelligence (AI), Digital Twin (DT), Home Automation",

author = "Kushani Semasinghe and Srinath Perera and Xiaohua Jin and Marini Samaratunga and Samudaya Nanayakkara",

year = "2025",

doi = "10.7771/3067-4883.1902",

language = "English",

editor = "Makarand Hastak and Zeljko Torbica and Hubbard, {Bryan J.} and Deniz Besiktepe and Sogand Hasanzadeh and Kyubyung Kang",

booktitle = "Proceedings of the 23rd CIB World Building Congress (WBC2025), 19-23 May 2025, Purdue University, West Lafayette, USA",

publisher = "Purdue University",

note = "CIB Congress ; Conference date: 19-05-2025 Through 23-05-2025",

}

Semasinghe, K, Perera, S , Jin, X , Samaratunga, M & Nanayakkara, S 2025, Optimisation of occupant comfort and energy consumption in indoor environments: responsive homes through Digital Twin and building automation integration. in M Hastak, Z Torbica, BJ Hubbard, D Besiktepe, S Hasanzadeh & K Kang (eds), Proceedings of the 23rd CIB World Building Congress (WBC2025), 19-23 May 2025, Purdue University, West Lafayette, USA., 154, Purdue University, U.S., CIB Congress, West Lafayette, Indiana, United States, 19/05/25. https://doi.org/10.7771/3067-4883.1902

Optimisation of occupant comfort and energy consumption in indoor environments: responsive homes through Digital Twin and building automation integration. / Semasinghe, Kushani; Perera, Srinath ; Jin, Xiaohua et al.
Proceedings of the 23rd CIB World Building Congress (WBC2025), 19-23 May 2025, Purdue University, West Lafayette, USA. ed. / Makarand Hastak; Zeljko Torbica; Bryan J. Hubbard; Deniz Besiktepe; Sogand Hasanzadeh; Kyubyung Kang. U.S.: Purdue University, 2025. 154.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - Optimisation of occupant comfort and energy consumption in indoor environments: responsive homes through Digital Twin and building automation integration

AU - Semasinghe, Kushani

AU - Perera, Srinath

AU - Jin, Xiaohua

AU - Samaratunga, Marini

AU - Nanayakkara, Samudaya

N1 - Conference code: 23rd

PY - 2025

Y1 - 2025

N2 - Purpose: Building Automation System (BAS) presents encouraging opportunities to optimise energy consumption while elevating occupants’ thermal comfort. BAS ranges from regular thermostatic valves to home automation systems (HAS), in residential buildings. Well-designed HAS advantage in occupant spaces, providing optimum occupant comfort and energy efficiency. However, not accompanying essential parameters such as real-time climate conditions and occupancy thermal behaviour prevent real-time responsive HAS developments. Existing studies demonstrate an elevated need for efficient HAS, which can potentially consider these significant influencing factors with real-time responses. A developed approach that considers these dynamic changes provides an accurate HAS that addresses the current performance gap.Research Design: Digital Twin (DT) serves as a core platform for real-time monitoring and control of the building, it enables automated controls to adjust Heating Ventilation Air Conditioning (HVAC) systems and other services to enhance occupants’ comforts by integrating with the BAS. Therefore, this study explores the opportunities for integrating Digital Twin technology into the HAS to create more human-centric indoor environment conditions while reducing the energy performance gap in home energy management systems. Therefore, this study aims to develop a Home Automation System using AI (AI), Machine Learning (ML), and Digital Twin (DT).Outcome: High-responsive home automation system using AI, ML, and DT.Contribution: The findings of this study contribute to developing high responsive BAS through AI, ML, and DT.KeywordsArtificial intelligence (AI), Digital Twin (DT), Home Automation

AB - Purpose: Building Automation System (BAS) presents encouraging opportunities to optimise energy consumption while elevating occupants’ thermal comfort. BAS ranges from regular thermostatic valves to home automation systems (HAS), in residential buildings. Well-designed HAS advantage in occupant spaces, providing optimum occupant comfort and energy efficiency. However, not accompanying essential parameters such as real-time climate conditions and occupancy thermal behaviour prevent real-time responsive HAS developments. Existing studies demonstrate an elevated need for efficient HAS, which can potentially consider these significant influencing factors with real-time responses. A developed approach that considers these dynamic changes provides an accurate HAS that addresses the current performance gap.Research Design: Digital Twin (DT) serves as a core platform for real-time monitoring and control of the building, it enables automated controls to adjust Heating Ventilation Air Conditioning (HVAC) systems and other services to enhance occupants’ comforts by integrating with the BAS. Therefore, this study explores the opportunities for integrating Digital Twin technology into the HAS to create more human-centric indoor environment conditions while reducing the energy performance gap in home energy management systems. Therefore, this study aims to develop a Home Automation System using AI (AI), Machine Learning (ML), and Digital Twin (DT).Outcome: High-responsive home automation system using AI, ML, and DT.Contribution: The findings of this study contribute to developing high responsive BAS through AI, ML, and DT.KeywordsArtificial intelligence (AI), Digital Twin (DT), Home Automation

U2 - 10.7771/3067-4883.1902

DO - 10.7771/3067-4883.1902

M3 - Conference Paper

BT - Proceedings of the 23rd CIB World Building Congress (WBC2025), 19-23 May 2025, Purdue University, West Lafayette, USA

A2 - Hastak, Makarand

A2 - Torbica, Zeljko

A2 - Hubbard, Bryan J.

A2 - Besiktepe, Deniz

A2 - Hasanzadeh, Sogand

A2 - Kang, Kyubyung

PB - Purdue University

CY - U.S.

T2 - CIB Congress

Y2 - 19 May 2025 through 23 May 2025

ER -

Semasinghe K, Perera S , Jin X , Samaratunga M , Nanayakkara S. Optimisation of occupant comfort and energy consumption in indoor environments: responsive homes through Digital Twin and building automation integration. In Hastak M, Torbica Z, Hubbard BJ, Besiktepe D, Hasanzadeh S, Kang K, editors, Proceedings of the 23rd CIB World Building Congress (WBC2025), 19-23 May 2025, Purdue University, West Lafayette, USA. U.S.: Purdue University. 2025. 154 doi: 10.7771/3067-4883.1902

Optimisation of occupant comfort and energy consumption in indoor environments: responsive homes through Digital Twin and building automation integration

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