| contributor author | J. K. Kissock | |
| contributor author | T. A. Reddy | |
| contributor author | D. E. Claridge | |
| date accessioned | 2017-05-08T23:57:44Z | |
| date available | 2017-05-08T23:57:44Z | |
| date copyright | August, 1998 | |
| date issued | 1998 | |
| identifier issn | 0199-6231 | |
| identifier other | JSEEDO-28279#168_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/121077 | |
| description 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. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Ambient-Temperature Regression Analysis for Estimating Retrofit Savings in Commercial Buildings | |
| type | Journal Paper | |
| journal volume | 120 | |
| journal issue | 3 | |
| journal title | Journal of Solar Energy Engineering | |
| identifier doi | 10.1115/1.2888066 | |
| journal fristpage | 168 | |
| journal lastpage | 176 | |
| identifier eissn | 1528-8986 | |
| keywords | Temperature | |
| keywords | Structures | |
| keywords | Regression analysis | |
| keywords | Uncertainty | |
| keywords | Regression models | |
| keywords | HVAC equipment AND Heating and cooling | |
| tree | Journal of Solar Energy Engineering:;1998:;volume( 120 ):;issue: 003 | |
| contenttype | Fulltext | |
