Paper Conference

Proceedings of BauSim Conference 2010: 3rd Conference of IBPSA-Germany and Austria


Performance based rating and energy performance benchmarking for commercial buildings in India

Satish Kumar, Saket Sarraf, Sanjay Seth, Sameer Pandita, Archana Walia, Madhav Kamath, Aalok Deshmukh

Abstract: Performance based rating systems serve as an excellent baseline “report card”. They are useful for evaluating performance of existing buildings and to set meaningful targets for new buildings. This method replaces guesswork with a scientific methodology to establish targets, evaluate and reward innovations. Over time, it helps to consistently improve the standards through healthy competition by shifting markets to better performing levels. In the US, the LEED for Existing Buildings (LEED EB), ASHRAE’s BuildingEQ, Green Globes Existing Buildings rating system reference actual building performance benchmarked against ENERGY STAR Target Finder. On similar lines, this research could help improve current rating systems in India by providing contextual benchmarks and targets across building types. A database of existing buildings along with their energy consumption and related parameters is a prerequisite for any performance based ratings. USA has been collecting such data in form of the Commercial Building Energy Consumption Survey (CBECS) for many years and has used it to develop ENERGY STAR and green building rating systems. This paper describes the first national level initiative in India to collect and rigorously analyze standardized energy use data for 760 commercial buildings. This initiative uses statistical procedures to arrive at a performance based rating methodology and energy consumption benchmarks for India. Specifically, this study (a) Elucidates the need for performance based rating and benchmarking in the Indian context, (b) Discusses the framework for national level data collection, (c) Performs exploratory analysis of whole building energy use across different groups such as use types, climate, operating hours, size, etc. (d) Proposes a methodology for performance rating and benchmarking using regression and distribution analysis, (e) Establishes performance benchmarks for building types, namely – offices, hospitals and hotels, and (f) Concludes with benefits, limitations and extensions for further work in the Indian context.
Pages: 447 - 454