This paper describes a newly developed prototype of continuous commissioning tool that can be stand-alone or be embedded in a BEMS to continuously monitor a building’s HVAC systems performance and detect faults during operation phase. The component models are either taken from HVACSIM+, SIMBAD, etc. or newly developed. The tool judge whether there are faults in the systems through comparing the operational data with the performances of the systems without faults obtained from operation records or simulation.
Two dissimilar models capable of predicting the electrical and thermal performance of residential cogeneration fuel cell systems have been developed for use with the ESP-r building simulation program. The first model examines low temperature polymer electrolyte fuel cell (PEFC) systems, while the second model is better suited for the modelling of internally-reforming, high temperature solid oxide fuel cell (SOFC) systems. The models use different approaches to estimate the heat recovered from the fuel cell.
In principal, the algorithms used in advanced lighting simulation software are equally applicable to interior and exterior situations [Ashdown 1994][Ward 1998]. In practice the scope is limited: a realistic CAD model of a building in a complex urban geometry can have two/three orders of magnitude more data elements than a detailed model of a room.
CEN TC247 has prepared draft standards for main types of room controllers. These standards include a performance testing procedure that was designed to facilitate the introduction on the market of innovative controllers (adaptive controllers, fuzzy controllers...).
In this paper, we present a new method of combining ASHRAE Room Energy Balance Method with 3-d airflow modeling to estimate the thermal comfort conditions of the emerging air- conditioning system that combines radiant cooling and desiccant dehumidification.
An optimal combination of the characteristics of an air conditioning system and the control strategy is necessary to minimize costs and the energy demand. Therefore a sequential control for such a system was developed, tested by simulation and implemented in an existing plant. The simulation runs have been done with TRNSYS.For the sake of comparison, an optimized control was calculated using a nonlinear optimization method. For this purpose, TRNSYS had to be combined with MATLAB which includes some optimization
tools.
Energy savings from the use of daylighting in commercial buildings are realized through implementation of photoelectric lighting controls that dim electric lights when sufficient daylight is available to provide adequate workplane illumination. The dimming level of electric lighting is based on the signal of a photosensor. Current simulation approaches for such systems are based on the questionable assumption that the signal of the photosensor is proportional to the task illuminance.
Generally, geometrical data of the building do not constitute an usual detailed input for the thermal simulations, but nevertheless they become necessary as soon as accuracy is needed to take into account incoming solar energy, to measure the radiant exchange or to assess comfort. Our objective, in the elaboration of a new version of the thermal simulation SIMULA_3D code is to give the right place to the 3D geometric data to achieve such performances.
This work regards the development and the validation a simplified model for building cooling energy requirement. It aims to be as similar as possible to the procedure adopted for calculating the winter heating energy demand of the UNI-CEN standards. The latter, a procedure based on a steady- state model, including one or more corrective numerical-experimental correlations, that take into account in a simplified way – and thus approximately – the effects of thermal capacities on the phenomena under examination.
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