iDbuild is a combined daylight and thermal simulation tool for climate-based daylight and energy performance simulation of rooms in buildings. The program algorithm is simplified yet precise compared to more sophisticated tools available. Furthermore, iDbuild holds a range of unique features not found in any other currently available simulation tools.
The tool is developed by researchers and students at Aarhus University, Dept. of Engineering and Technical University of Denmark, Dept. of Civil Engineering.
The tool can be downloaded for free right here:
STAND ALONE version
|Updated: 30-07-17||Updated: 30-07-17|
Regarding the MATLAB version, we cannot guarantee that it works in MATLAB versions which are older that MATLAB 2017a.
You can also download a weather file converter (.epw to iDbuild format) right here
You may find the .epw file you need right here: EnergyPlus weather data
The algorithms in the program package is well-described and carefully validated. Documentation can be found in the following scientific papers:
Nielsen T.R. Simple tool to evaluate energy demand and indoor environment in the early stages of building design. Sol. Energy 78 (2005) 73–83
Hviid C.A., Nielsen T.R. and Svendsen S. Simple tool to evaluate the impact of daylight on building energy consumption. Sol. Energy 82 (2008) 787–798
Petersen S., Momme A.J. and Hviid C.A. A simple tool to evaluate the effect of the urban canyon on daylight level and energy demand in the early stages of building design. Sol. Energy 108 (2014) 61–68
Petersen S. Combined Daylight and Thermal Calculation Tool for Annual Energy Performance Simulation of Rooms with Advanced Daylight-Controlled Lighting Systems. Building Simulation 2017, San Francisco, California, USA
Parameter variation algorithm
Petersen S. and Svendsen S. Method and simulation program for informed decisions in the early stages of building design. Energy and Buildings 42 (7) (2010) 1113-1119
Petersen S. Simulation-based support for integrated design of new low-energy office buildings. PhD thesis, Technical University of Denmark, 2011.
Petersen S. and Svendsen S. Method for simulating predictive control of building systems operation in the early stages of building design. Applied Energy 88 (2011) 4597–4606
Petersen S. and Bundgaard BW. The effect of weather forecast uncertainty on a predictive control concept for building systems operation. Applied Energy 116 (2014) 311–321