Multiple regression models for energy consumption of office buildings in different climates in China

Multiple regression models for energy consumption of office buildings in different climates in China

Abstract

The energy consumption of office buildings in China has been growing significantly in recent years. Obviously, there are significant relationships between building envelope and the energy consumption of office buildings. The 8 key building envelope influencing factors were found in this paper to evaluate their effects on the energy consumption of the air-conditioning system. The typical combinations of the key influencing factors were performed in Trnsy simulation. Then on the basis of the simulated results, the multiple regression models were developed respectively for the four climates of China—hot summer and warm winter, hot summer and cold winter, cold, and severely cold. According to the analysis of regression coefficients, the appropriate building envelope design schemes were discussed in different climates. At last, the regression model evaluations consisting of the simulation evaluations and the actual case evaluations were performed to verify the feasibility and accuracy of the regression models. The error rates are within±5% in the simulation evaluations and within±15% in the actual case evaluations. It is believed that the regression models developed in this paper can be used to estimate the energy consumption of office buildings in different climates when various building envelope designs are considered.

Keywords

regression model / energy consumption / building envelope / office building / different climates

参考文献

[1] Cai W G, Wu Y, Zhong Y, Ren H. China building energy consumption: Situation, challenges and corresponding measures. Energy Policy, 2009, 37(6): 2054-2059

[2] Jiang Y, Wu X. 2010 Annual Report on China Building Energy Efficiency. Beijing: China Architecture & Building Press, 2010

[3] Kong X F, Lu S L, Wu Y. A review of building energy efficiency in China during “Eleventh Five-year Plan” period. Energy Policy, 2012, 41: 624-635

[4] Jie P F, Tian Z, Yuan S S.Modeling the dynamic characteristics of a district heating network. Energy, 2012, 39: 126-134

[5] Chang C C, Zhao J, Zhu N. Energy saving effect prediction and post evaluation of air-conditioning system in public buildings. Energy and Building, 2011, 43(11): 3243-3249

[6] Zhao J, Xin Y J, Tong D D. Energy consumption quota of public buildings based on statistical analysis. Energy Policy, 2012, 43: 362-370

[7] Jie P F, Li D Y, Zhu N.Optimization of regulation methods in district heating systems. Advanced Materials Research, 2012, 490: 1475-1480

[8] Xie Z G, Hong H B, Li S Y. Interference effects of high-rise buildings: Effects of building shapes and correlations of envelope interference factors. Journal of Building Structures, 2008, 29(1): 13-18

[9] Carlo J, Lamberts R. Development of envelope efficiency labels for commercial buildings: Effect of different variables on electricity consumption. Energy and Building, 2008, 40(11): 2002-2008

[10] Lam J C, Wan K K W, Liu D L, Tsang C L. Multiple regression models for energy use in air-conditioned office buildings in different climates. Energy Conversion and Management, 2010, 51(12): 2692-2697

[11] Catalina T, Virgone J, Blanco E. Development and validation of regression models to predict monthly heating demand for residential buildings. Energy and Building, 2008, 40(10): 1825-1832

[12] Li D H W, Wong S L, Cheung K L. Energy performance regression models for office buildings with daylighting controls. Journal of Power and Energy, 2008, 222(6): 557-568

[13] Lam J C, Tsang C L, Li D H W, Cheung S O. Residential building envelope heat gain and cooling energy requirements. Energy, 2005, 30(7): 933-951

[14] Xu X H, Wang S W. Optimal simplified thermal models building envelope based on frequency domain regression using genetic algorithm. Energy and Building, 2007, 39(5): 525-536

[15] Jaffal L, Inard C, Ghiaus C. Fast method to predict building heating demand based on the design of experiments. Energy and Building, 2009, 41(6): 669-677

[16] Kim Y M, Lee J H, Kim S M, Kim S. Effects of double skin envelopes on natural ventilation and heating loads in office buildings. Energy and Building, 2011, 43(9): 2118-2126

[17] Ministry of Housing and Urban-Rural Deveiopment of the People’s Republic of China, General Administration of Quality Supervision, Inspection and Quarantine. GB50176-93 Thermal Design Code for Civil Buildings. Beijing: China Architecture & Building Press, 1993

[18] Ministry of Housing and Urban-Rural Deveiopment of the People’s Republic of China, General Administration of Quality Supervision, Inspection and Quarantine. GB50365-2005 Design Standard for Energy Efficiency of Public Buildings. Beijing: China Architecture & Building Press, 2005

[19] Cheung C K, Fuller R J, Luther M B. Energy-efficient envelope design for high-rise apartments. Energy and Building, 2005, 37(1): 37-48

[20] Tzempelikos A, Athienitis A K, Karava P. Simulation of façade and envelope design options for a new institutional building. Solar Energy, 2007, 81(9): 1088-1103

[21] Farhanieh B, Sattari S. Simulation of energy saving in Iranian buildings using integrative modelling for insulation. Renewable Energy, 2006, 31(4): 417-425

[22] Lee W S. Benchmarking the energy efficiency of government buildings with data envelopment analysis. Energy and Building, 2008, 40(5): 891-895

[23] Karaguzel O T, Lam K P. Development of whole-building energy performance models as benchmarks for retrofit projects. In: Proceedings of the 2011 Winter Simulation Conference. Phoenix: IEEE, 2011, 838-849

[24] Xiong A Y, Wang B M. Meteorological Data Sets on Building Thermal Environment Analysis. Beijing: China Architecture & Building Press, 2005

[25] General Administration of Quality Supervision, Inspection and Quarantine, Standardization Administration of the People’s Republic of China. GB/T2589-2008 Calculation Principle of Comprehensive Energy Consumption. Beijing: China Standard Press, 2008

版权

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg