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) |
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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