Acting globally: potential carbon emissions mitigation impacts from an international standards and labelling program

Panel: Panel 4. Residential and commercial sectors: delivering lower energy use in buildings

Authors:
Michael A. McNeil, Lawrence Berkeley National Laboratory, USA
Virginie E. Letschert, Lawrence Berkeley National Laboratory, USA
Stephane de la Rue du Can, Lawrence Berkeley National Laboratory, USA
Christine Egan, Collaborative Labelling and Appliance Standards Program (CLASP), USA

Abstract

This paper presents an analysis of the potential impacts of an international initiative designed to support and promote the development and implementation of appliances standards and labelling programs throughout the world. As part of previous research efforts, LBNL developed the Bottom Up Energy Analysis System (BUENAS), an analysis framework that estimates impact potentials of energy efficiency policies on a global scale. In this paper, we apply this framework to an initiative that would result in the successful implementation of programs focused on high priority regions and product types, thus evaluating the potential impacts of such an initiative in terms of electricity savings and carbon mitigation in 2030.

In order to model the likely parameters of such a program, we limit impacts to a five year period starting in 2009, but assume that the first 5 years of a program will result in implementation of ‘best practice' minimum efficiency performance standards by 2014. The ‘high priority' regions considered are: Brazil, China, the European Union, India, Mexico and the United States. The products considered are: refrigerators, air conditioners, lighting (both fluorescent and incandescent), standby power (for consumer electronics) and televisions in the residential sector, and air conditioning and lighting in commercial buildings.

In 2020, these regions and enduses account for about 37% of global residential electricity and 29% of electricity in commercial buildings. We find that 850 Mt of CO ₂ could be saved in buildings by 2030 compared to the baseline forecast.