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 |
| State | Published - Aug 1998 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Fuel Technology
- Mechanical Engineering
- Renewable Energy, Sustainability and the Environment
Cite this
Ambient-temperature regression analysis for estimating retrofit savings in commercial buildings. / Kissock, J. K.; Reddy, T Agami; Claridge, D. E.
In: Journal of Solar Energy Engineering, Transactions of the ASME, Vol. 120, No. 3, 08.1998, p. 168-176.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Ambient-temperature regression analysis for estimating retrofit savings in commercial buildings
AU - Kissock, J. K.
AU - Reddy, T Agami
AU - Claridge, D. E.
PY - 1998/8
Y1 - 1998/8
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=0001144007&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:0001144007
VL - 120
SP - 168
EP - 176
JO - Journal of Solar Energy Engineering, Transactions of the ASME
JF - Journal of Solar Energy Engineering, Transactions of the ASME
SN - 0199-6231
IS - 3
ER -