IBPSA2011

Various building energy use modeling methods have been applied to existing buildings in order to understand building energy performance and improve energy efficiency. There are widely used models based on physical principles and historical data. This study has used temperature-based regression, artificial neural network and EnergyPlus models to predict energy use of a laboratory building. The paper discusses the accuracy of different methods when predicting short-term and long-term whole building energy use.

This paper deals with the results of an investigation into the freecooling efficiency in a low energy building using a PCM/air heat exchanger coupled with the me-chanical ventilation. The numerical model of the PCM system is coupled with the type 56 of TRNSYS in or-der to analyse thermal comfort conditions inside the building but also cooling energy savings due to such a system. Several air rate change, temperature of fu-sion, climate and convective heat transfer coefficient modes were analysed.

This study presents a theoretical method that can quickly and accurately identify the locations and strengths of multiple constant contaminant sources indoors by using a single or a limited number of ideal sensors. The method was numerically demonstrated and validated by case studies of sixteen scenarios of contaminant releases in a three-dimensional office. The effects of the number and positions of sensors used, total sampling time, and sampling intervals on the performance of identification were thoroughly studied.

This paper presents a novel methodology that aims at optimising energy flows and HVAC control in Sport and Recreation Buildings. The proposed methodology integrates the use of building simulation and artificial neural networks to support better operation of Sport facilities, which are unique in terms of variable energy demand profiles and complex environmental conditions. The overall methodology is presented in conjunction with a demonstration case study. A procedure for swimming pool simulation is also tested within the case study work. 

The aim of this work is to model the energy consumption and the on-site production of an existing building, the Leaf House (LH), that was designed in order to be a Net Zero CO2 emission home. For a more effective use of energy some of the most advanced available technologies in the field of renewable sources were used. In particular, the technological building plant includes several subsystems as a Geothermal Heat Pump (GHP), solar PV and thermal panels, integrated in a fully automatic heat distribution system.

This paper shows a new DSF modeling approach so-called a co-simulation of the heterogeneous systems. In this approach, the calibrated DSF MATLAB model developed by [Park 2003] and the EnergyPlus building model are integrated in the BCVTB environment. As a result, more reliable simulation results can be obtained. Finally, the paper shows the difference between two approaches: (1) DSF simulation with EnergyPlus only and (2) the heterogeneous simulation approach using the in-house DSF model augmented with the whole building simulation model. 

CFD (Computational Fluid Dynamics) simulation is the main research method for assessing the wind environment around building complexes. Recent research showed the importance of turbulence models used in simulation and different turbulence models were developed to improve the precision of CFD simulation results. In this paper, a comparison of different turbulence models in simulating wind environment around building complexes is conducted to discuss their precision of simulation in three key elements of engineering application.

To maintain good indoor air quality, this investigation proposes a prototype of an active breathing wall system, which is composed of a solar radiation absorption board, air heating cavity, porous filtration unit and fan device. The thermo-flow performance of a physical model is measured and compared against the computational fluid dynamics (CFD) modeling. Then an office environment with a breathing wall is simulated by CFD. This study finds different ventilation modes are formed within the room in different seasons.

Because of the complexity and diversification of today’s HVAC systems, Fault Detection and Diagnosis (FDD) systems have become necessary to reduce maintenance cost and to provide building energy efficiency, but with a minimum of engineering cost. Based on a generic method of generating Fault Detection (FD) systems from Building Information Models (BIM), we now propose an  extension of the underlying Heat Flow Model (HFM) to implement a diagnosis engine and thus create the complete software system called HFM-FDD.

This paper presents a Simulation Domain Model (SimModel) - a new interoperable XML-based data model for the building simulation domain. SimModel provides a consistent data model across all aspects of the building simulation process, thus preventing information loss. The model accounts for new simulation tool architectures, existing and future systems, components and features. In addition, it is a multi-representation model that enables integrated geometric and MEP simulation configuration data.