A new method utilizing smart meter data for identifying the existence of air conditioning in residential homes
Bibliographic Data
| ID | 15549658 |
|---|---|
| Authors | Mo Chen (0000-0002-9898-8082, University of Southern California), Kelly T Sanders (0000-0003-4466-0054, University of Southern California, corresponding author), George Ban‐Weiss (0000-0001-8211-2628, University of Southern California) |
| Year | 2019 |
| Volume | 14 |
| Issue | 9 |
| Pages | 094004-094004 |
| Publication date | 2019-07-25 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environmental Research Letters (JOURNAL) |
| Journal identifiers | ISSN: 1748-9326 • E-ISSN: 1748-9326 |
| Publisher | IOP Publishing (PUBLISHER • GB) |
| DOI | 10.1088/1748-9326/ab35a8 |
| OpenAlex | W2962978224 |
| Language | EN |
| Citations received | 5 |
| References cited | 25 |
Climate change, urbanization, and economic growth are expected to drive increases in the installation of new air conditioners, as well as increases in utilization of existing air conditioning (AC) units, in the coming decades. This growth will provide challenges for a diversity of stakeholders, from grid operators charged with maintaining a reliable and cost-effective power system, to low-income communities that may struggle to afford increased electricity costs. Despite the importance of building a quantitative understanding of trends in existing and future AC usage, methods to estimate AC penetration with high spatial and temporal resolution are lacking. In this study we develop a new classification method to characterize AC penetration patterns with unprecedented spatiotemporal resolution (i.e. at the census tract level), using the Greater Los Angeles Area as a case study. The method utilizes smart meter data records from 180 476 households over two years, along with local ambient temperature records. When spatially aggregated, the overall AC penetration rate of the Greater Los Angeles Area is 69%, which is similar to values reported by previous studies. We believe this method can be applied to other regions of the world where household smart meter data are available
Air conditioning · Economic growth · Economics · Electrical engineering · Electricity · Electricity demand · Electricity generation · Electricity meter · Environmental economics · Environmental resource management · Power (physics · Smart grid · Smart meter · Urbanization · Building Energy and Comfort Optimization · Computer Science · Energy Efficiency and Management · Engineering · Environmental Science · Smart Grid Energy Management
Utilizing smart-meter data to project impacts of urban warming on residential electricity use for vulnerable populations in Southern California
Measuring the impacts of a real-world neighborhood-scale cool pavement deployment on albedo and temperatures in Los Angeles
Potential changes in cooling degree day under different global warming levels and shared socioeconomic pathways in West Africa
Investigating whether the inclusion of humid heat metrics improves estimates of AC penetration rates
Analysis of single- and multi-family residential electricity consumption in a large urban environment
Climate change is projected to have severe impacts on the frequency and intensity of peak electricity demand across the United States
Effects of anthropogenic heat due to air-conditioning systems on an extreme high temperature event in Hong Kong
Investigating the climate impacts of urbanization and the potential for cool roofs to counter future climate change in Southern California
Air conditioning versus heating
Impacts of rising air temperatures on electric transmission ampacity and peak electricity load in the United States
| Unique citing works | 5 |
|---|---|
| Citations per year | 0,83 |
| Citation span | 2020 - 2023 (4) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 5 |