Impacts of cooling load calculation uncertainties on the design optimization of building cooling systems

Abstract Cooling load calculation is the basis for the design of building cooling systems. The current design methods are usually based on deterministic cooling loads, which are obtained by using design parameters or information. However, these parameters contain uncertainties and they will be different from that used in the design calculation when the cooling system is put in use. The actual cooling load profile will deviate from that predicted in design. By considering uncertainties of these parameters, the sizing and configuration of the cooling system can be improved. In this study, a design optimization method is proposed by considering uncertainties related to the cooling load calculation. Impacts caused by the uncertainties of nine factors are considered, including the outdoor weather conditions, internal heat sources and indoor set-points. The cooling load distribution is analyzed. The oversize problem is explained from the viewpoint of uncertainties. By presenting the probability distribution of the cooling load and the potential capital cost, the proposed method can determine the cooling system capacity with quantified confidence. Comparison between the cooling systems with different configurations is also conducted. With the distributions of their energy consumption, decision makers can select the optimal configuration based on quantified confidence.

[1]  Gevork B. Gharehpetian,et al.  Optimization of distributed generation capacities in buildings under uncertainty in load demand , 2013 .

[2]  Refrigerating.  ASHRAE handbook of fundamentals , 1967 .

[3]  Satish Narayanan,et al.  A COMPARATIVE STUDY ON UNCERTAINTY PROPAGATION IN HIGH PERFORMANCE BUILDING DESIGN , 2011 .

[4]  Yeonsook Heo,et al.  Calibration of building energy models for retrofit analysis under uncertainty , 2012 .

[5]  Haorong Li,et al.  Analysis of HVAC system oversizing in commercial buildings through field measurements , 2014 .

[6]  Jose Manuel Cejudo-Lopez,et al.  Uncertainty in peak cooling load calculations , 2010 .

[7]  Danny H.W. Li,et al.  Climatic effects on cooling load determination in subtropical regions , 2003 .

[8]  Jlm Jan Hensen,et al.  Uncertainty analysis in building performance simulation for design support , 2011 .

[9]  Godfried Augenbroe,et al.  Multi-criteria decision making under uncertainty in building performance assessment , 2013 .

[10]  Trine Dyrstad Pettersen,et al.  Variation of energy consumption in dwellings due to climate, building and inhabitants , 1994 .

[11]  Jon C. Helton,et al.  Survey of sampling-based methods for uncertainty and sensitivity analysis , 2006, Reliab. Eng. Syst. Saf..

[12]  Shengwei Wang,et al.  Dynamic simulation of a building central chilling system and evaluation of EMCS on-line control strategies , 1998 .

[13]  Godfried Augenbroe,et al.  Analysis of uncertainty in building design evaluations and its implications , 2002 .

[14]  Henrik Brohus,et al.  Quantification of uncertainty in predicting building energy consumption: A stochastic approach , 2012 .

[15]  Bryan Eisenhower,et al.  Leveraging the analysis of parametric uncertainty for building energy model calibration , 2013 .

[16]  David J. Spiegelhalter,et al.  Handling uncertainty in housing stock models , 2012 .

[17]  Zheng O'Neill,et al.  Uncertainty and sensitivity decomposition of building energy models , 2012 .

[18]  Jeffrey D. Spitler,et al.  Cooling and heating load calculation manual , 1992 .

[19]  Godfried Augenbroe,et al.  Exploring HVAC system sizing under uncertainty , 2014 .

[20]  Henrik Brohus,et al.  Application of sensitivity analysis in design of sustainable buildings , 2009 .

[21]  Yusuf Yildiz,et al.  Identification of the building parameters that influence heating and cooling energy loads for apartm , 2011 .

[22]  Christina J. Hopfe,et al.  Uncertainty and sensitivity analysis in building performance simulation for decision support and design optimization , 2009 .

[23]  Ery Djunaedy,et al.  Oversizing of HVAC system: Signatures and penalties , 2011 .