Journal article
Ambient-Temperature Regression Analysis for Estimating Retrofit Savings in Commercial Buildings
Journal of solar energy engineering, v 120(3), pp 168-176
01 Aug 1998
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
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Details
- Title
- Ambient-Temperature Regression Analysis for Estimating Retrofit Savings in Commercial Buildings
- Creators
- J. K Kissock - University of DaytonT. A Reddy - Drexel UniversityD. E Claridge - Texas A&M UniversityAgami T Reddy - [Retired Faculty]
- Publication Details
- Journal of solar energy engineering, v 120(3), pp 168-176
- Publisher
- ASME
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:000075509500005
- Scopus ID
- 2-s2.0-0001144007
- Other Identifier
- 991019184821804721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Energy & Fuels
- Engineering, Mechanical