Improving building energy efficiency in India: State-level analysis of building energy efficiency policies

Journal Article · Wed Nov 01 04:00:00 EDT 2017 · Energy Policy

DOI:https://doi.org/10.1016/j.enpol.2017.07.013· OSTI ID:1393758

Yu, Sha; Tan, Qing; Evans, Meredydd; Kyle, Page; Vu, Linh; Patel, Pralit L.

India is expected to add 40 billion m2 of new buildings till 2050. Buildings are responsible for one third of India’s total energy consumption today and building energy use is expected to continue growing driven by rapid income and population growth. The implementation of the Energy Conservation Building Code (ECBC) is one of the measures to improve building energy efficiency. Using the Global Change Assessment Model, this study assesses growth in the buildings sector and impacts of building energy policies in Gujarat, which would help the state adopt ECBC and expand building energy efficiency programs. Without building energy policies, building energy use in Gujarat would grow by 15 times in commercial buildings and 4 times in urban residential buildings between 2010 and 2050. ECBC improves energy efficiency in commercial buildings and could reduce building electricity use in Gujarat by 20% in 2050, compared to the no policy scenario. Having energy codes for both commercial and residential buildings could result in additional 10% savings in electricity use. To achieve these intended savings, it is critical to build capacity and institution for robust code implementation.

• Research Organization: Pacific Northwest National Laboratory (PNNL), Richland, WA (US)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-76RL01830
• OSTI ID: 1393758
• Report Number(s): PNNL-SA-120611; PG0500000
• Journal Information: Energy Policy, Journal Name: Energy Policy Journal Issue: C Vol. 110; ISSN 0301-4215
• Publisher: Elsevier
• Country of Publication: United States
• Language: English

Related Subjects

Energy Conservation Building Code
building energy efficiency
green building
impact assessment
integrated assessment modeling