Modeling Method of Building Energy Consumption & Conservation

Abstract:

With the accelerated urbanization process and the improving of peoples living standard, China's building energy consumption shows rigid growth trend. Under the promotion of industrialization, the level of energy efficiency of industrial sector goes up fast, while the energy conservation potential in industrial field declines, building energy efficiency turns out to be the key to accomplish this goal. This paper analyzes in depth building energy consumption data and brings up the methods of creating the building energy consumption and conservation models. Through measurement of building energy consumption in subentry, the data of building materials, construction, equipments and maintenance are collected, and the building management & control methods are investigated as well. Based on the data collected and investigation results, the linear regression model and decision tree model are created. The models can be used to forecast the building energy consumption and analyze the dependency between each statistic. Based on the dependency and the forecast, the energy saving model is created. With the ant colony algorithm being used, the best solution of the lowest energy consumption is found.

• Periodical: Applied Mechanics and Materials (Volume 415)
• Pages: 716-721
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.415.716
• Online since: September 2013
• Authors: Xiao Hua Chen, Yun Long Ma, Guo Feng Zhang, Bo Liu
• Keywords: Building Energy Consumption, Energy Conservation, Model Algorithm

References

[1] S. JEBARAJ, S. INIYAN, A review of energy models, [J], Renewable and Sustainable Energy Reviews, 2006, 10(4): 281-311.

DOI: 10.1016/j.rser.2004.09.004

[2] Rivers, Nic, Jaccard, Mark, Combining Top-Down and Bottom-Up Approaches to Energy- Economy Modeling Using Discrete Choice Methods, [J], Energy Journal, 2005, 26(1): 83-106.

DOI: 10.5547/issn0195-6574-ej-vol26-no1-4

[3] Koomey, Jonathan, Craig, Paul, Gadgil, Ashok, Lorenzetti, David, Improving Long-Range Energy Modeling: A Plea for Historical Retrospectives, [J], Energy Journal, 2003, 24(4): 79-92.

DOI: 10.5547/issn0195-6574-ej-vol24-no4-4

[4] Vogt, Yeage, Top-Down Energy Modeling, [J], Strategic Planning for Energy and the Environment, 2004, 24(1): 66-80.

DOI: 10.1080/10485230409509656

[5] LaCommare, K. H., Edwards, J. L., Marnay, C. Distributed Generation Capabilities of the National Energy Modeling System. Department of Energy, Washington, DC. Report: LBNL-52432, one CD-ROM contains 47 page document, (2003).

DOI: 10.2172/816363

[6] Gabriel, S.A. Kydes, The National Energy Modeling System: a Large-Scale Energy-Economic Equilibrium Model, [J], Operations Research, 2001, 49(1): 14-25.

DOI: 10.1287/opre.49.1.14.11195