Abstract
This paper describes a procedure for estimating weather-adjusted retrofit savings in commercial buildings using ambient-temperature regression models. The selection of ambient temperature as the sole independent regression variable is discussed. An approximate method for determining the uncertainty of savings and a method for identifying the data time scale which minimizes the uncertainty of savings are developed. The appropriate uses of both linear and change-point models for estimating savings based on expected heating and cooling relationships for common HVAC systems are described. A case study example illustrates the procedure.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 168-176 |
| Number of pages | 9 |
| Journal | Journal of Solar Energy Engineering, Transactions of the ASME |
| Volume | 120 |
| Issue number | 3 |
| DOIs | |
| State | Published - Aug 1998 |
| Externally published | Yes |
ASJC Scopus subject areas
- Renewable Energy, Sustainability and the Environment
- Energy Engineering and Power Technology
Fingerprint Dive into the research topics of 'Ambient-temperature regression analysis for estimating retrofit savings in commercial buildings'. Together they form a unique fingerprint.
Cite this
Kissock, J. K., Reddy, T. A., & Claridge, D. E. (1998). Ambient-temperature regression analysis for estimating retrofit savings in commercial buildings. Journal of Solar Energy Engineering, Transactions of the ASME, 120(3), 168-176. https://doi.org/10.1115/1.2888066