Procedures for calibrating l4ourly simulation Models to measured building energy and environmental data

Journal of Solar Energy Engineering, Transactions of the ASME

Volumn 120, Issue 3, 1998, Pages 193-204

  Haberl, J S ^a   Bou Saada, T E ^a,b  

^a Texas AandM University   (United States)

^b Houston Lighting and Power Company   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0006560415     PISSN: 01996231     EISSN: 15288986     Source Type: Journal    
DOI: 10.1115/1.2888069     Document Type: Article

References (42)

1. Abbas, M., 1993, “Development of Grapliical Indices for Building Energy Data,” M.S. Tiiesis, Energy Systems Rpt No. ESL-TH-93/12-02, Texas A&M University, College Station, TX.
2. ASHRAE, 1991, “HVAC Applications Volume,” American Society of Heating, Refrigerating, and Air-Conditioning Engineers, Inc., Atlanta, GA.
3. Ayers, J. M., and Stamper, E., 1995, “Historical Development of Building Energy Calculations,” ASHRAE Transactions Preprint. Vol. 101, No. 1.
4. Bou-Saada, T. E., 1994a, “An Improved Procedure for Developing a Calibrated Hourly Simulation Model of an Electrically Heated and Cooled Commercial Building,” M.S. Thesis, Energy Systems Rpt No. ESL-TH-94/12-01, Texas A& M University, College Station, TX.
5. Bou-Saada, T. E.t 1994b, “Advanced DOE-2 Calibration Procedures: A Technical Reference Manual,” Energy Systems Laboratory Rpt No. ESL-TR-94/12-01, Texas A&M University, College Station, TX.
6. Bou-Saada, T., and Haberl, J., 1995a, “A Weather-Daytyping Procedure for Disaggregating Hourly End-use Loads in an Electrically Heated and Cooled Building from Whole-building Hourly Data,” Proceedings of the 30th Intersociety Energy Conversion Engineering Conference, July 31-August 4, 1995, Orlando, Florida, pp. 349-356.
7. Bou-Saada, T., and Haberl, J., 1995b, “An Improved Procedure for Developing Calibrated Hourly Simulation Models,” Proceedings of the International Building Performance Simulation Association, August 14-16, 1995, Madison, Wisconsin.
8. Bronson, J, D., 1992, “Calibrating DOE-2 to Weather and Non-Weather Dependent Loads for a Commercial Building,” M.S. Thesis, Energy Systems Rpt No. ESL-TH-92/04-01, Texas A&M University, College Station, TX.
9. Bronson, D. J., Hinchey, S. B., Haberl, J. S., and O’Neal, D. L., 1992, “A Procedure for Calibrating the DOE-2 Simulation Program to Non-Weather-Dependent Measured Loads,” ASHRAE Transactions, Vol. 98, No. 1, pp. 636-652. Energy Systems Lab Rpt. No. ESL-PA-91/05-01, Texas A&M University, College Station, TX.
10. Clarke, J., Strachan, P., Pernot, C., 1993, “An Approach to the Calibration of Building Energy Simulation Models,” ASHRAE Transactions, Vol. 99, Pt. 2, pp. 917-927.
11. Cleveland, W. S., 1985, The Elements of Graphing Data, Wadsworth & Brooks/Cole, Pacific Grove, CA.
12. Degelman, L., 1995, “ENER-WIN: Hourly Energy Simulation Model for Calculating Energy Performance in Buildings,” Department of Architecture, Texas A&M University, College Station, Texas 77843.
13. Diamond, S. C., and Hunn, B. D., 1981, “Comparison of DOE-2 Computer Program Simulations to Metered Data for Seven Commercial Buildings,” ASHRAE Transactions, Vol. 87, No. 1, pp. 1222-1231.
14. Draper, N., and Smith, H., 1981, Applied Regression Analysis, 2nd. Ed. John Wiley & Sons, NY, NY.
15. Erbs, D., Klein, S., Duffle, J., 1982, “Estimation of Diffuse Radiation Fraction for Hourly, Daily, and Monthly-Average Global Radiation,” ASME Journal of Solar Energy, Vol. 28, No. 4, pp. 293-302.
16. Fels, M., 1986, “Special Issue Devoted to Measuring Energy Savings, The Princeton Scorekeeping Method (PRISM),” Energy and Buildings, Vol. 9, Nos. 1 and 2.
17. Grifiths, D. M., and Anderson, K. J., 1994, “Commercial Building/System Characteristics Sensitivity Analysis,” Proceedingsfrom theACEEE 1994 Summer Study on Energy Efficiency in Buildings, Vol. 5, pp. 5.105-5.112. Washington, DC.
18. Haberl, J. S., Bronson, J. D., and O’Neal, D. L., 1995, “An Evaluation of the Impact of Using Measured Weather Data Versus TMY Weather Data in a DOE- 2 Simulation of an Existing Building in Central Texas,” ASHRAE Transactions, Vol. 101, No. 1. ESL Rpt No. ESL-TR-93/09-02. College Station, TX.
19. Haberl, J., and Claridge, D., 1985, “Retrofit Energy Studies of a Recreation Center,” ASHRAE Transactions, Vol. 91, Part 2b, pp. 1421-1433.
20. Haberl, J., and Thamilseran, S., 1996, “Predicting Hourly Building Energy Use: The Great Energy Predictor Shootout II, Measuring Retrofit Savings—Overview and Discussion of Results,” ASHRAE Transactions, June.
21. Hadley, D. L., 1993, “Daily Variations in HVAC System Electrical Energy Consumption in Response to Different Weather Conditions,” Energy and Buildings, No. 19, pp. 235-247.
22. Hinchey, S. B., 1991, “Influence of Thermal Zone Assumptions on DOE-2 Energy Use Estimations of a Commercial Building,” M.S. Thesis, Energy Systems Rpt No. ESL-TH-91/09-06, Texas A&M University, College Station, TX.
23. Hirsch, J., Winkelmann, F., Buhl, F., Ellington, K., McMenamin, J., Rohmund, I., Criswell, S., Bhimani, A., Spurlock, B., Borstein, D„ and Johnson, K., 1995, “PowerDOE, A Windows-based Visually Oriented Analysis Tool,” Proceedings of the 1995 IBPSA Building Simulation Conference, Madison, WI, pp. 669-673, (August).
24. Hsieh, E. S., 1988, “Calibrated Computer Models of Commercial Buildings and Their Role in Building Design and Operation,” M.S. Thesis, PU/CEES Rpt No. 230, Princeton University, Princeton, NJ.
25. Huang & Associates, 1993, “DrawBDL User’s Guide,” 6720 Potrero Ave., El Cerrito, California, 94530.
26. Hunn, B. D., Banks, J. A., and Reddy, S. N„ 1992, “Energy Analysis of the Texas Capitol Restoration,” The DOE-2 User News, Vol. 13, No. 4, pp. 2-10.
27. Kaplan, M. B., Caner, P., and Vincent, G. W., 1992, “Guidelines for Energy Simulation of Commercial Buildings,” Proceedings from the ACEEE1992 Summer Study on Energy Efficiency in Buildings, Vol. 1, pp. 1.137-1.147.
28. Kaplan, M. B., Jones, B., and Jansen, J., 1990, “DOE-2.1C Model Calibration with Monitored End-Use Data,” Proceedings from the ACEEE 1990 Summer Study on Energy Efficiency in Buildings, Vol. 10, pp. 10.115-10.125.
29. Katipamula, S., 1994, “Personal Communication,” Richland, WA, Pacific Northwest Laboratory.
30. Kreider, J., and Haberl, J., 1994a, “Predicting Hourly Building Energy Usage: The Great Energy Predictor Shootout: Overview and Discussion of Results,” ASHRAE Transactions Technical Paper, Vol. 100, Pt. 2, June.
31. Kreider, J., and Haberl, J., 1994b, “Predicting Hourly Building Energy Usage: The Results of the 1993 Great Energy Predictor Shootout Identify the Most Accurate Method for Making Hourly Energy Use Predictions,” ASHRAE Journal, pp. 72-81, March.
32. DOE-2 User Guide, Ver. 2.1, 1980, Lawrence Berkeley Laboratory and Los Alamos National Laboratory, Rpt No. LBL-8689 Rev. 2; DOE-2 User Coordination Office, LBL, Berkeley, CA.
33. DOE-2 Engineers Manual, Ver. 2.1A, 1981, Lawrence Berkeley Laboratory and Los Alamos National Laboratory, Rpt No. LBL-11353; DOE-2 User Coordination Office, LBL, Berkeley, CA.
34. DOE-2.1 Reference Manual Rev. 2.1A, 1982, Lawrence Berkeley Laboratory and Los Alamos National Laboratory, Rpt No. LBL-8706 Rev. 2; DOE-2 User Coordination Office, LBL, Berkeley, CA.
35. DOE-2 Supplement, Ver 2.1D, 1989, Lawrence Berkeley Laboratory, Rpt No. LBL-8706 Rev. 5 Supplement. DOE-2 User Coordination Office, LBL, Berkeley, CA.
36. Mackay, D. J., 1994, “Bayesian Nonlinear Modeling for the Energy Prediction Competition,” ASHRAE Transactions, Vol. 100, No. 2, pp. 1053-1062.
37. Manke, J. M., and Hittle, D., 1996, “Calibrating Building Energy Analysis Models Using Short Term Test Data,” Proceedings of the ASME/JSME Solar Energy Conference, November, 1995.
38. McLain, H. A., Leigh, S. B., and MacDonald, J. M., 1993, “Analysis of Savings Due to Multiple Energy Retrofits in a Large Office Building,” Oak Ridge National Laboratory, Rpt No. ORNL/CON-363, Oak Ridge, TN.
39. Reddy, S. N„ 1993, “Determination of Retrofit Energy Savings Using a Calibrated Hour-By-Hour Building Energy Simulation Model,” M.S. Thesis, The University of Texas at Austin. Austin, TX.
40. SAS Institute, Inc., 1989, “SAS Reference Manual,” SAS Institute, Inc., SAS Circle, P.O. Box 8000, Cary, NC, 27512-8000.
41. Torres-Nunci, N., 1989, “Simulation Modeling Energy Consumption in the Zachry Engineering Center,” M.S. Project Report, Texas A&M University, College Station* TX.
42. Tukey, J. W., 1977, Exploratory Data Analysis, Addison-Wesley Publishing Co. Reading, MA.