scholarly journals BuildOpt—a new building energy simulation program that is built on smooth models

2005 ◽  
Vol 40 (8) ◽  
pp. 1085-1092 ◽  
Author(s):  
Michael Wetter
Keyword(s):  
Building Energy ◽  
Energy Simulation ◽  
Simulation Program ◽  
Building Energy Simulation

EnergyPlus: creating a new-generation building energy simulation program

2001 ◽  
Vol 33 (4) ◽  
pp. 319-331 ◽  
Author(s):  
Drury B. Crawley ◽  
Linda K. Lawrie ◽  
Frederick C. Winkelmann ◽  
W.F. Buhl ◽  
Y.Joe Huang ◽  
...  
Keyword(s):  
Building Energy ◽  
Energy Simulation ◽  
Simulation Program ◽  
Building Energy Simulation ◽  
New Generation

Procedures for Calibrating Hourly Simulation Models to Measured Building Energy and Environmental Data

1998 ◽  
Vol 120 (3) ◽  
pp. 193-204 ◽  
Author(s):  
J. S. Haberl ◽  
T. E. Bou-Saada
Keyword(s):  
Goodness Of Fit ◽  
Building Energy ◽  
Building Envelope ◽  
Energy Simulation ◽  
Environmental Data ◽  
Simulation Program ◽  
Weather Data ◽  
Mean Bias Error ◽  
Building Energy Simulation ◽  
Calibration Methods

This paper discusses procedures for creating calibrated building energy simulation programs. It begins with reviews of the calibration techniques that have been reported in the previous literature and presents new hourly calibration methods including a temperature bin analysis to improve hourly x−y scatter plots, a 24-hour weather-daytype bin analysis to allow for the evaluation of hourly temperature and schedule dependent comparisons, and a 52-week bin analysis to facilitate the evaluation of long-term trends. In addition, architectural rendering is reviewed as a means of verifying the dimensions of the building envelope and external shading placement as seen by the simulation program. Several statistical methods are also presented that provide goodness-of-fit indicators, including percent difference calculations, mean bias error (MBE), and the coefficient of variation of the root mean squared error (CV(RMSE)). The procedures are applied to a case study building located in Washington, D. C. where nine months of hourly whole-building electricity data and sitespecific weather data were measured and used with the DOE-2.1D building energy simulation program to test the new techniques. Simulations that used the new calibration procedures were able to produce an hourly MBE of –0.7% and a CV(RMSE) of 23.1% which compare favorably with the most accurate hourly neural network models (Kreider and Haberl, 1994a, b).

A User-Friendly Building Energy Consumption Program

2013 ◽  
Vol 347-350 ◽  
pp. 2642-2646
Author(s):  
Yi Long Jia ◽  
Jian Xiang Jin ◽  
Xuan Hao Zhou
Keyword(s):  
Energy Consumption ◽  
North China ◽  
Building Energy ◽  
Energy Simulation ◽  
Simulation Program ◽  
Building Energy Simulation ◽  
The Past ◽  
Wide Range ◽  
User Friendly ◽  
Easy Operation

Building energy simulation program plays an important role in reducing energy consumption for heating in North China. For the past 60 years, a wide range of building energy simulation programs have been developed. However, in China, building energy simulation programs are not popularized smoothly because of the problems such as unfriendly interface, complex usage and excessively specialized. This paper presents a new building energy simulation program with B/S structure. As a collection of building energy simulation and economic analysis, this program can be accepted by the professionals and non-professionals due to its accuracy and easy operation.

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