English

Integrated building performance simulation (IBPS) provides an appropriate means to appraise the performance of low energy communities featuring cooperating technologies for demand management and low carbon heat/power delivery.

In this paper, dynamic simulation software (in this case, DesignBuilder) has been used to model and to simulate a typical 1960s UK social housing in order to examine the impact of retrofit, occupant behaviour and user lifestyle on energy pattern. In terms of retrofitting study, various energy efficiency measurements have been considered such as improving level of insulations and heating system’s efficiency. For the occupant behaviour influence study, three types of heating control patterns have been created such as ‘Constant On’, ‘NCM’ and ‘Programmed Heating Control’.

This paper describes and focuses on the applications of a new range of smart building products, particularly Integrated Building Technology (IBT) systems, with the aim to demonstrate savings for improving energy efficiency and indoor environments in buildings. A typical commercial office space has been modelled via dynamic computer simulation software, considering scenarios of before and after the installation of IBT systems. This has then been compared against different building regulations and standards e.g. UK Building Regulation 2006 and ASHRAE 90.1.

This paper focuses on the optimization of control strategies with regard to the end energy consumption and the thermal comfort of low-exergy systems for space heating in non-residential buildings. The sur-vey building uses a small-scale heat pump system (2.8 kWtherm) with a floor heating system. Firstly, the thermal as well as the hydraulic system was modeled in Modelica. The control parameters of the applied conventional control strategy were investigated con-cerning their impact on the end energy consumption and the thermal comfort.

Today’s thermostat setpoint models naïvely assume fixed schedules, ignoring the reality of user control and its large variability. Better models must include more realistic user-behavior profiles to correctly evaluate the energy benefits of the next generation of thermostats against a realistic baseline. Data from a recent thermostat field study were analyzed to demonstrate the variation and patterns associated with manual adjustment of programmable thermostats and its consequences on observed and simulated energy consumption.

This paper investigates a new system for balancing the electrical grid by using dynamic simulation. It con-sists of a fuel cell that runs continuously to achieve high efficiency. To have the possibility to react to fluc-tuations in the electrical grid, the system additionally contains a certain number of heat pumps that use the electrical energy provided by the fuel cell, if it does not need to be fed into the grid. Thus, the system gen-erates and consumes power while keeping the grid in balance.

This paper describes the development of a simulation model using TRNSYS of a building integrated ground source heat pump with a cold phase change material thermal energy storage unit in a lightweight commer-cial building located in Marseille, France. The de-velopment of the overall system model involved the construction of individual models to simulate various components in the building, including a PCM tank, fan coil units, pumps, an air handling unit and the heat pump.