COUPLING HETEROGENEOUS COMPUTATIONAL CODES FOR HUMAN-CENTRED INDOOR THERMAL PERFORMANCE ANALYSIS

Human-centred indoor thermal quality performance analysis comprises multiple physical domains and typically requires coupling different numerical solvers in a weak manner and further linking with empirical modeling approaches for thermal comfort assessment. We present the new co-simulation middleware framework CoSimA+ (Co-simulation Adaptation Platform) for coupling such heterogeneous computational codes in distributed environments in a scale-adaptive manner. The framework is based on open-source software components such as the Internet Communication Engine ICE, the QT library and the VTK visualization toolkit. It provides services to visualize, observe and modify ongoing co-simulations and to connect sensor hardware, as well. Interfaces between codes are well defined by means of an interface definition language (IDL). The architecture supports the use of parallel computing resources.

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