5 research outputs found

    Design and optimization of an energy manager for an office building

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    Nowadays saving energy in the building sector is more important than ever. To achieve a reduction of energy consumption and also CO2 emissions of buildings, energy efficient Building Energy Management Systems (BEMS), respectively called energy managers, are developed in the research projectenerMAT. Therefore, enerMAT creates a novel approach for simulation, optimization, and verification that will aim to design a new generation of energy aware optimized BEMS which will allow an overall cross-trade automatic control of energy flows to maintain user comfort whilst minimizing energy consumption and CO2 emission. The optimization referenced to energy uses 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 energy manager in interaction with the building. This system model allows a simulation-based, energy aware, global, 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

    Modelica based design and optimisation of control systems for solar heat systems and low energy buildings

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    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 optimized building energy management system (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 optimization 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 Tumor-Necrosis-Factor-Related Superfamily of Ligands and Receptors

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