An investigation of design parameters that affect commercial high-rise office building energy consumption and demand

Journal of Building Performance Simulation

Volumn 5, Issue 5, 2011, Pages 313-328

  Langner, M Rois ^a   Henze, Gregor P ^a   Corbin, Charles D ^a   Brandemuehl, Michael J ^a  

^a UCB 450   (United States)

Author keywords

building energy simulation; energy consumption and demand; EnergyPlus; fractional factorial analysis; high rise commercial office buildings

Indexed keywords

BUILDING ENERGY CONSUMPTION; BUILDING ENERGY SIMULATIONS; BUILDING PARAMETERS; CHICAGO; CHILLER EFFICIENCY; DESIGN PARAMETERS; ENERGY SIMULATION; ENERGYPLUS; FRACTIONAL FACTORIAL ANALYSIS; POWER DENSITIES; STATIC PRESSURE;

COMPUTER SIMULATION; ENERGY UTILIZATION; MANAGEMENT; OFFICE BUILDINGS;

ENERGY CONSERVATION;

EID: 84864662049     PISSN: 19401493     EISSN: 19401507     Source Type: Journal    
DOI: 10.1080/19401493.2011.590607     Document Type: Article

References (21)

1. Box, G. E.P., Stuart Hunter, J. and Hunter, W. G. 2005. Statistics for experimenters: design, innovation, and discovery, 2nd ed, Hoboken, NJ: Wiley-Interscience.
2. Braun, J. E. 1990. Reducing energy costs and peak electrical demand through optimal control of building thermal storage. ASHRAE Transactions, 96(2): 876-887.
3. Cheng, H. 2008. Evaluation of the primary factors impacting the optimal control of passive thermal storage. ASHRAE Transactions, 114(2): 57-64.
4. Corbin, C., Greensfelder, E. and May-Ostendorp, P. 2009. Fractional factorial analysis and automated calibration of building energy models using a hybrid particle swarm/hooke-jeeves optimization algorithm, University of Colorado course research project.
5. Franconi, E. and Huang, J. 1999. Commercial heating and cooling loads component analysis Technical Report LBL-37208, Lawrence Berkeley National Laboratory, Berkeley, CA
6. Haberl, J. S. and Bou-Saada, T. E. 1998. Procedures for calibrating hourly simulation models to measured building energy and environmental data. Journal of Solar Energy Engineering, 120(3): 193-204.
7. Haberl, J. S. and Thamilseran, S. 1996. The great energy predictor shootout ii: measuring retrofit savings-overview and discussion of results. ASHRAE Transactions, 102(2): 419-435.
8. Henze, G.P. 2007. Evaluation of building thermal mass savings, Research Project 1313-RP, ASHRAE.
9. Krarti, M. 2000. Energy audit of building systems, Boca Raton, FL: CRC Press.
10. Kreider, J. F. and Haberl, J. S. 1994. Predicting hourly building energy use: the great energy predictor shootout-overview and discussion of results. ASHRAE Transactions, 100(2): 1104-1118.
11. Lam, J. C. and Hui, S. C.M. 1996. Sensitivity analysis of energy performance of office buildings. Building and Environment, 31(1): 27-39.
12. Langner, M. R. 2010. An investigation of design parameters that affect commercial high-rise office building energy consumption and demand, Thesis (Masters). University of Colorado at Boulder.
13. Liu, S. and Henze, G. P. Calibration of building models for supervisory control of commercial buildings. Proceedings of the 9th international building performance simulation association (IBPSA) conference. Montreal, Canada.
14. National Institute of Standards and Technology. 2010. e-Handbook of statistical methods, NIST/SEMATECH.
15. National Renewable Energy Laboratory and US Department of Energy [online]. EnergyPlus example file generator Available from: http://apps1.eere.energy.gov/buildings/energyplus/cfm/inputs/ [Accessed 21 July 2011]. Golden, CO: NREL and DOE
16. Reddy, T. A. and Maor, I. 2006. Procedures for reconciling computer-calculated results with measured energy data, Research Project 1051-RP. ASHRAE.
17. The MathWorks. 2009. Matlab help files, 2009
18. US Department of Energy [online]. EnergyPlus energy simulation software Available from: http://apps1.eere. energy.gov/buildings/energyplus/ [Accessed 21 July 2011]. Golden, CO: NREL and DOE
19. US Energy Information Administration. 2010. Annual energy outlook 2010 [online] Available from: http://www.eia.gov/oiaf/archive/aeo10/index.html [Accessed 21 July 2011]
20. Wheeler, A. J. and Ganji, A. R. 2004. Introduction to engineering experimentation, 2nd ed, Upper Saddle River, NJ: Pearson Education, Inc.
21. Yoon, J. H. and Lee, E. J. Calibration procedure of energy performance simulation model for a commercial building. Proceedings of Building Simulation. Vol. 3, pp.1439-1446.