Fact Sheets

ALMABuild is an open library based on MATLAB SIMULINK for the dynamic modelling of a building, To facilitate the creation of the model ALMABuild uses a series of Graphical User Interfaces (GUIs) by means of which all the properties of each building element and each thermal zone can be defined. GUIs facilitate the use of ALMABuild also for users without skills in the use of SIMULINK: the system is able to create automatically the SIMULINK model of the building simply starting from the input data. The import of the envelope geometry from SketchUp is supported. Compatibility with the CARNOT library and native integration with MATLAB Toolboxes.

CarnotUIBK for MATLAB Simulink is a tool for dynamic building energy simulation based on the MATLAB object oriented language and Simulink. It bases on the Toolbox CARNOT. A GUI for a comfortable handle of the input data and the results is available. Import of different kind of data formats is supported. Import functionality for gbXML (B.I.M.), Excel and PHPP are available. A Toolbox for Simulink is provided with the a range of physical calculation models, i.e. hygrothermal models and advanced air flow models. The use of existing CARNOT models is supported.

This set of EnergyPlus and Matlab models can be used as a reference for evaluating solar active systems using simulations. The model set contains the EnergyPlus implementations of the IEA SHC Task 56 typical reference office (see Deliverable DC1) and a Matlab/EnergyPlus implementation of the air-to-air heat pump and façade integrated PV model (see Deliverable DC2). This model set was developed by Samuel de Vries and Roel Loonen from Eindhoven University of Technology.

DYMOLA simulation environment was used to develop the numerical model of a typical office space using models from the Modelica library and Buildings library. Here infiltration, ventilation, shadings, internal gains and occupancy schedules are characterized as reported in Deliverable DC1 of IEA SHC Task 56.

PHPP is a Design Tool for Passive Houses and renovations with Passive House components. PHPP accurately predicts the energy consumption of a building on monthly basis and includes algorithms for HVAC such as heat pumps systems and RE (ST, PV). A new worksheet is developed to calculate the PV self consumption per month having as basis the PHPP. In addition an algorithm was developed to calculate the monthly electricity consumption of a heat pump having as input the annual electricity consumption from PHPP ‘HP’ sheet.

TRNSYS simulation software was used to develop the numerical model of a typical office space. Here infiltration, ventilation, shadings, internal gains and occupancy schedules are characterized as reported in Deliverable DC1 of IEA SHC Task 56.