Method and case study of quantitative uncertainty analysis in building energy consumption inventories

Energy and Buildings

Volumn 57, Issue , 2013, Pages 193-198

  Lu, Yuehong ^a   Huang, Zhijia ^a   Zhang, Ting ^a  

^a ANHUI UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Building energy consumption; Monte Carlo simulation; Sensitivity analysis; Uncertainty

Indexed keywords

BUILDING ENERGY CONSUMPTION; CONVENTIONAL METHODS; CUMULATIVE PROBABILITIES; DECISION MAKERS; ELECTRICITY-CONSUMPTION; ENERGY REDUCTION; GAMMA DISTRIBUTION; GAS CONSUMPTION; IN-BUILDINGS; LOG-NORMAL DISTRIBUTION; MONTE CARLO; MONTE CARLO SIMULATION; QUANTITATIVE UNCERTAINTY ANALYSIS; RANDOM SAMPLING; SAMPLE DATA; TOTAL ENERGY CONSUMPTION; UNCERTAINTY; UNCERTAINTY PROPAGATION;

BUILDINGS; ENERGY UTILIZATION; MONTE CARLO METHODS; NORMAL DISTRIBUTION; SENSITIVITY ANALYSIS; UNCERTAINTY ANALYSIS; WEIBULL DISTRIBUTION;

ENERGY CONSERVATION;

EID: 84871738716     PISSN: 03787788     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enbuild.2012.10.046     Document Type: Article

References (18)

1. K.J. Lomas, and H. Eppel Sensitivity analysis techniques for building thermal simulation programs Energy and Buildings 19 1 1992 21 44 (Pubitemid 23570174)
2. NRC Modeling Mobile Source Emissions 2000 National Academy Press Washington, DC
3. R. Heijungs, and R. Kleijin Numerical approaches towards life cycle interpretation, five examples International Journal of Life Cycle Assessment 6 3 2001 141 148 (Pubitemid 32499713)
4. R. Heijungs The use of matrix perturbation theory for addressing sensitivity and uncertainty issues in LCA Proceedings of the Fifth International Conference on EcoBalance - Practical Tools and Thoughtful Principles for Sustainability 2002 The Society of Non-Traditional Technology Tokyo, Japan
5. I. Macdonald, and P. Strachan Practical application of uncertainty analysis Energy and Buildings 33 3 2001 219 227 (Pubitemid 32029329)
6. L.J. Zhong, J.Y. Zheng, P. Louie, and J. Chen Quantitative uncertainty analysis in air pollutant emission inventories: methodology and case study Research of Environmental Sciences 20 4 2007 15 20
7. C. Hopfe, and J. Hensen Uncertainty analysis in building performance simulation for design support Energy and Buildings 3 10 2011 2798 2805
8. L. Wang, P. Mathew, and X. Pang Uncertainties in energy consumption introduced by building operations and weather for a medium-size office building Energy and Buildings 3 10 2012 152 158
9. I.A. Macdonald, Quantifying the effects of uncertainty in building simulation, PhD thesis, ESRU, University of Strathclyde, 2002.
10. H. Brohus, C. Frier, P. Heiselberg, and F. Haghighat Quantification of uncertainty in predicting building energy consumption: a stochastic approach Energy and Buildings 2010 10.1016/j.enbuild.2012.07.013
11. P. Heiselberg, H. Brohus, and A. Hesselholt Application of sensitivity analysis in design of sustainable buildings Renewable Energy 34 2009 2030 2036
12. M.D. McKay, R.J. Beckman, and W.J. Conover A comparison of three method for selecting values of input variables in the analysis of output from a computer code Technometrics 21 2 1979 239 245 (Pubitemid 9452235)
13. J.Y. Zheng, Quantification of Variability and Uncertainty in Emission Estimation: General Methodology and Software Implementation, Dissertation, North Carolina State University, 2002.
14. J.L. Myers, and A.D. Well Research Design and Statistical Analysis 2nd ed. 2003 Lawrence Erlbaum 0-8058-4037-0 p. 508
15. H.C. Frey, A. Mokhtari, and J. Zheng Recommended Practice Regarding Selection, Application, and Interpretation of Sensitivity Analysis Methods Applied to Food Safety Risk Process Models 2004 North Carolina State University for Office of Risk Assessment and Cost-Benefit Analysis, U.S. Department of Agriculture Washington, DC
16. A.L. Edwards The correlation coefficient An Introduction to Linear Regression and Correlation 1976 W.H. Freeman San Francisco, CA pp. 33-46 (Chapter 4)
17. S. Atkinson, C. Kelliher, and S. LeBruto Capital-budgeting decisions using crystal ball The Cornell Hotel and Restaurant Administration Quarterly 38 5 1997 20 27
18. H.C. Fey, and J. Zheng Quantification of variability and uncertainty in air pollutant emission inventories: Method and case study for utility NOx emissions Journal of the Air and Waste Management Association 52 2002 1083 1095 (Pubitemid 35025849)