English

The Soccer World Cup in Qatar 2022 has started a discussion on thermal comfort in soccer stadia, particularly in hot and humid climates and their related energy consumption.  To evaluate the thermal comfort in such an environment a calculation algorithm for the so-called “perceived temperature” (PT), is incorporated into the TRNSYS 17 simulation package.

This study investigates the feasibility of utilizing natural ventilation through operable windows to provide ventilation and summer cooling for an existing university dormitory building in marine west coastal climate (warm summer and mild winter). A hybrid research approach is used to evaluate the performance of proposed natural ventilation schemes, featuring building energy modeling with fully integrated airflow network, onsite blower door tests, and building utility data analysis. Both ventilation and thermal comfort are studied during the investigation.

Swirl diffusers can create better air mixing to enhance indoor air quality and help achieve compliance with Green Star IEQ-2 through Air Change Effectiveness (ACE) measure but the lack of modelling guidelines gives rise to the use of various modelling approaches with different results. The ACE calculation depends strongly on the flow characteristics produced by the diffuser outlet that vary considerably between different modelling set ups.

Model based exchange has the potential to improve the process of information exchange between different disciplines (Eastman, 2006), such as architect and engineer. However, there has not been a lot of success in automating the process of acquiring building geometry for energy analysis. This paper is part of a PhD research that investigates ways to improve the efficiency of exchanging building geometry for energy analysis.

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.