@article{29821,
  keywords = {Energy efficiency, Appliances, Data mining, Web crawling},
  author = {Brian F Gerke and Michael A McNeil and Thomas Tu},
  title = {The International Database of Efficient Appliances (IDEA): A new tool to support appliance energy-efficiency deployment},
  abstract = {<p>Appliance energy-efficiency programs are a central component of many countries’ energy-policy portfolios. A major barrier to optimal implementation of these programs is lack of data to determine market baselines, assess the potential for cost-effective energy savings, and track markets over time to evaluate and verify program impacts. To address this gap, we have developed the International Database of Efficient Appliances (IDEA), a suite of software tools that automatically gathers data that is currently dispersed across various online sources and compiles it into a unified repository of information on efficiency, price, and features for a diversity of appliances and devices in markets around the world. In this article we describe the framework and functionality of IDEA, and we demonstrate its power as a resource for research and policy development related to appliance energy efficiency. Using IDEA data for refrigerators in China and India, we assess the potential for cost-effective energy savings within each market by computing robust indicators that can also be easily compared across different appliances and markets. We find that significant cost-effective savings are available on both markets. We discuss implications for the development of future energy-efficiency deployment programs.</p>},
  year = {2017},
  journal = {Applied Energy},
  volume = {205},
  pages = {453 - 464},
  month = {11/2017},
  issn = {03062619},
  doi = {10.1016/j.apenergy.2017.07.093},
  language = {eng},
}