The goal of the research project enerMAT is the reduction of energy consumption and CO2 emissions of buildings. Especially solar heating systems are installed in more and more buildings. This paper introduces a novel approach for simulation and optimisation that aims to improve the performance of building controllers and especially solar heating controllers by simulation and model-in-the-loop tests. A new generation of energy-aware optimised building energy management systems (BEMS) will be discussed and its advantages over the older controllers highlighted. The energy-aware optimisation will be shown on a model-based approach with an overall building system model enabling the assessment of the energy performance for different design and operation alternatives of the building automation system in interaction with the building. This system model will allow a simulation-based, energy-aware, global, dynamic, multi-criterial optimisation of BEMS. In this paper, the idea, the approach, and the actual state of the project research is presented with a focus on solar heating controllers.
The application of the FMI technology gains ground in building simulation. As far as specialized tools support the FMI simulator coupling becomes an important option to simulate complex building models. Cosimulation needs a master algorithm which controls the communication time steps as well as the signal exchange between FMUs. Often a constant communication step size is applied chosen by the user. The Richardson extrapolation approach allows variable master step sizes. An extension of this approach is presented, and the method is applied to both academic test examples as well as examples of building simulation which co-simulate FMUs from NANDRAD and SimulationX. Although variable step size control could improve the performance this cannot be observed at the building simulation examples presented. But Richardson extrapolation turns out to guarantee finding an appropriate step size at the prize of downgraded performance.
dynamic, multi-criterial optimization of the energy manager. In this paper, the idea, the modeling of an office building and its energy manager and different optimization studies and their results are presented.
Since the very beginning of the Modelica development ambitions for electronic simulation exist. The electronic simulator SPICE, the SPICE models and the SPICE netlists grew to a quasi standard in electronics simulation for the last 30 years. That is why the wish arose to have SPICE models available in Modelica. This paper deals with modeling the SPICE3 models in Modelica directly extracted from the original SPICE3 source code. This courses the problem of transforming the sequential simulator-internal model descriptions of SPICE to the declarative description from Modelica. To solve this problem a way was developed and tested for some SPICE3 semiconductor models. The actual library is presented and further plans are shown.
The Modelica Standard Library was improved by adding a package of a subset of SPICE3 models which are transformed to the Modelica language. This Spice3 library contains basic models, sources, and four semiconductor devices (diode, BJT, MOSFET level 1, resistor). Extensive tests showed the correctness of model characteristics at simple circuits. Further models already prepared will be added to the Spice3 Modelica Library later on.
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