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Climate Resilience - Buildings And Communities

The energy saving potential of using adaptive setpoint temperatures: a case study for offices in India


Daniel Snchez-Garcia1, David Bienvenido-Huertas2, Carlos Rubio-Bellido3*

1: Department of Electrical Engineering, University Carlos III of Madrid, Madrid, Spain;
2: Department of Building Constructions, University of Granada, Granada, Spain;
3: Department of Building Constructions II, University of Seville, Seville, Spain


DOI: 10.62744/CATE.45273.1115-172-180
Email: carlosrubio@us.es
Abstract:
Adopting setpoint temperatures guided by adaptive thermal comfort models offers an efficient approach to conserving energy. Current research gives consideration to global models like ASHRAE Standard 55 and EN16798-1, which incorporate adaptive setpoint temperatures. However, this study follows a distinct path by incorporating a localized Indian adaptive comfort model, specifically the India Model for Adaptive Comfort for Commercial buildings (IMAC-C). This research delves into the energy-saving potential linked to the utilization of setpoint temperatures derived from IMAC-C. A comparative analysis is conducted, juxtaposing these temperatures with those based on the worldwide ASHRAE Standard 55 adaptive model and PMV-based setpoint temperatures aligned with the National Building Code for India. Comprehensive building energy simulations have been executed, encompassing all of India's climate zones and accommodating both naturally-ventilated and full air conditioning operational modes for buildings. The outcomes highlight that applying setpoint temperatures grounded in the IMAC-C adaptive comfort model in full air-conditioning mode could potentially lead to energy savings ranging between 9% and 26% in most of the climates. Consequently, it is conclusively determined that the integration of setpoint temperatures rooted in the Indian local adaptive comfort model represents a highly effective strategy for achieving energy conservation.

Keywords: Adaptive setpoint temperatures, adaptive thermal comfort, accim, computational approach

Supported by:

Ministry of New and Renewable Energy Govt. of India, Gujarat Energy Development Agency, U.S. Agency for International Development iNDEXTb (Industrial Extension Bureau) Govt. of Gujarat, Shakti Sustainable Energy Foundation, New Delhi