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Post-Occupancy Performance Assessment of Building Automation Systems
Abstract
The increasing emphasis on sustainability and energy efficiency in commercial buildings has positioned Building Automation Systems (BAS) as a critical component in achieving long-term operational excellence. This study assesses the post-occupancy performance of BAS and Heating, Ventilation, and Air Conditioning (HVAC) systems in office buildings within Delhi NCR, aiming to propose effective strategies for their enhanced implementation and operation. The research follows a structured methodology beginning with a literature review to identify key post-occupancy building performance parameters and HVAC assessment indicators. This is followed by empirical data collection from selected office buildings operational for 3 to 5 years, enabling evidence-based evaluation of BAS performance in real-world settings. The study also explores the integration of Artificial Intelligence (AI), Internet of Things (IoT), and cloud-based analytics to improve the responsiveness and efficiency of BAS. Findings from the case studies provide insights into current gaps in system operation and maintenance (O&M), leading to the development of a strategic framework tailored to Delhi NCR’s climate conditions and policy environment. The research concludes by aligning proposed BAS strategies with the region’s sustainability targets and energy codes, offering actionable recommendations for stakeholders involved in the design, implementation, and post- occupancy management of BAS in office buildings.
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