English

A calculation model for air-to-water heat pump for  space heating in residential house was developed.  This model is assumed to be used for labelling or  energy standards in Japan and parameters used in the  model are assumed to be identified in the facility test  by the manufactures. In order to simplify the test and  decrease the identified parameters, the model used  heat pump cycle model where the efficiency could be  calculated by the evaporation temperature and the  condensation temperature.

In this paper, we developed a new method to forecast 10-minutes ahead wind speed based on Heteroscdastic Gaus-sian Process and investigated the impacts of this predict-ing on a mix-mode operated building. The forecasting re-sult shows the mean absolute percentage error (MAPE) of 9.2%. The indoor air temperature, infiltration air change rate and cooling energy consumption varied 25% in av-erage compared with the baseline model where the wind speed is not from forecasting.

There has been an increasing demand for sports facilities in urban areas recently. As a result of this, more attention is drawn towards not only the energy performance of these building typologies, but also creating a healthy indoor environment for the users. This Study investigates the thermal and ventilation performance of a sports hall within an aquatic centre using computational fluid dynamics (CFD) simulations. IES Virtual Environment software was used to perform the simulations.

In this paper, a methodology for interfacing and as-sessing a Model Predictive Control strategy in a build-ing simulation tool (SIMBAD) is presented. Firstly, a system identification is performed in order to derive a suitable embedded model for the predictive controller from the simulation tool. Secondly, we assess the per-formance of this control strategy by introducing un-certainties on forecasted weather conditions and oc-cupancy. Finally, we provide some simulation results in order to analyse the robustness of the controller in presence of uncertainties on forecast.

The faulty operation of Heating Ventilation and Air Conditioning (HVAC) systems in commercial buildings can waste vast amounts of energy, cause unnecessary CO2 emissions and decrease occupant thermal comfort, reducing productivity.   We propose a new method of automating Fault Detection and Diagnosis (FDD), based on the modelling of operational faults in HVAC subsystems, using techniques from statistical machine learning and information theory.

This paper presents an analysis of whole-building performance modelling and simulation process of a low-energy single-family detached residence located in Northeast U.S. A total of six design alternatives are modelled with EnergyPlus to predict relative performance improvements associated with a diverse set of energy efficiency measures of both building envelope assemblies and unconventional HVAC systems with inclusion of on-site renewable energy technologies.

According to the Passivhaus Institute (PHI) the verification of a Passivhaus design must be carried out using the Passivhaus Planning Package (PHPP). A number of methods are now available for designers to access climatic data for use in PHPP design predictions. The original climate data provided for design and certification in the UK was derived from the reverse engineering of TRY data from dynamic simulations, for a limited number of locations.

Foundation Heat Exchangers (FHX) are a novel form of ground heat exchanger for residential applications and, by virtue of lower costs, could increase the up-take of efficient heat pump technology. This work has aimed to develop a new efficient model of such heat exchangers for system simulation. The recently developed Dynamic Thermal Network approach has been applied to formulate a model of the FHX that includes the basement, pipes and adjacent ground. This response factor approach allows complex three-dimensional geometries such as this to be represented.

The aim of this study is to identify the most effective strategies  to  improve  energy  performance  of  an  existing  typical  office  building  in  the  city  of  São Paulo/Brazil,  by  simulating  the  results  of  various  retrofit  interventions  in  EnergyPlus.  Appropriate lighting  levels  were  determined  and  the  potential  of  natural light was simulated. Various air conditioning systems were simulated, comparing the performance of VRF (variable refrigerant flow) split systems with and  the  use  of  economizer.

To predict the risk if mould growth, rot, deformations and cracks in wood, it is necessary to know the moisture levels in constructions and building components. This paper presents a theory and a two-dimensional PC-model based on the use of Kirchhoff potentials to calculate moisture flow in wood. Anisotropy is allowed for using different flow coefficients in the different directions, in both sapwood and heartwood. The theory also deals with the internal boundary between sapwood and heartwood, and the external boundary to the outer air.