Paper Conference

Proceedings of Building Simulation 2011: 12th Conference of IBPSA

     

Case Study of Applying Different Energy Use Modeling Methods to an Existing Building

Bin Yan, Ali Malkawi, Yun Kyu Yi

DOI: https://doi.org/10.26868/25222708.2011.1319
Abstract: Various building energy use modeling methods have been applied to existing buildings in order to understand building energy performance and improve energy efficiency. There are widely used models based on physical principles and historical data. This study has used temperature-based regression, artificial neural network and EnergyPlus models to predict energy use of a laboratory building. The paper discusses the accuracy of different methods when predicting short-term and long-term whole building energy use. It also discusses the feasibility and limitation of analyzing component level energy use and evaluating energy savings potential. retrofit projects. Energy use modeling tools can assist these tasks. The roles of different energy use modeling tools in these tasks should be explored. As shown in Figure 1, this study has used temperaturebased regression, artificial neural network and detailed simulation to predict whole-building energy use of a laboratory building. It compares the accuracy of short-term and long-term prediction among all three models. The paper also discusses the feasibility and limitation of different models when analyzing component level energy use and evaluating energy savings potential. It illustrates examples of using detailed simulation for component-level energy use analysis and estimation of energy savings. Regression ANN Detailed Simulation
Pages: 743 - 749
Paper:
bs2011_1319