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Determining Long-Term Performance of Cool Storage Systems from Short-Term Tests; Literature Review and Site Selection, Nov. 1997 (Revised Feb. 1998)
Abstract
This is the preliminary report contains the literature review and site selection recommendations for ASHRAE Research Project RP 1004 — "Determining Long-term Performance of Cool Storage Systems From Short-term Tests".
Description
The literature review covers the relevant literature concerning: 1) different inverse analysis methods, including: building simulation models, regression models, multicollinearity and function forms, 2) methods for predicting long-term performance from short-term measurements, 3) analytical models for chillers, fans and pumps, including a discussion of component-based models versus overall systems models, 4) in-situ testing of chillers, fans and pumps, 5) methods for determining the long-term performance of cool storage systems, including field performance testing, methods for determing annual load frequency distribution, characterization of cool storage system performance, and annual performance projections, and 6) methods for determining the uncertainty associated with measurement and analysis, including: measurement uncertainty, bias and random errors, propagation errors, and regression errors. Information for 14 thermal storage sites is also presented including recommendations for a short list of 5 sites for further study. This report completes Task 1a (Literature Review), and Task lb (Preliminary Report), and presents our recommendations for approaching Task 2a (Method to estimate long-term building loads from short-term data), Task 2b (Development of analytical methods for TES), Task 2c (Development of initial list of TES sites and submit to PMS), Task 3 c (Uncertainty analysis), and Task 3d (Development of long-term TES performance methodology).Collections
Citation
Haberl, J. S.; Claridge, D. E.; Reddy, T. A.; Elleson, J. (1997). Determining Long-Term Performance of Cool Storage Systems from Short-Term Tests; Literature Review and Site Selection, Nov. 1997 (Revised Feb. 1998). Energy Systems Laboratory (http://esl.tamu.edu), Texas A&M University. Available electronically from https : / /hdl .handle .net /1969 .1 /2173.