ESP-r

This paper provides an overview of a new method for modelling the total solar energy transmittance. It is implemented in the ESP-r building simulation program to model complex façades such as double glazed façades with external, internal or integrated shading devices. This new model has been validated and tested for several cases.

Time of use (TOU) electricity metering involves dividing the day, the month and the year in to slots or bands, with generally higher rates at the peak loads and low tariff rates at off-peak load periods. For this study, the statistically representative testcase Canadian house was modeled in the building energy simulation software ESP-r to estimate its sub-hourly (every fifteen minutes) electricity consumption for the appliances, lighting, domestic hot water (DHW) and space heating for an entire year.

This paper provides an overview of Daylight1-2-3, a new daylighting/energy analysis software for design professionals and architectural students with an interest in daylighting and sustainable design, but no required previous knowledge of either daylighting concepts or simulations. The initial version of Daylight 1-2-3 focuses on private offices, open-plan offices, and classrooms.

This paper presents a set of solutions to enable  differential time scales for dynamic boundary conditions within whole-building energy simulation, specifically occupant behavioral adaptations in response to short-term changes in solar and daylighting conditions. The concept is to allow specialized libraries to determine in tandem the state of critical variables, such as window blinds and lighting systems, at higher frequencies than the building domain time step (e.g.

This investigation of the window opening data from extensive field surveys in UK office buildings investigates 1) how people control the indoor environment by opening windows, 2) the cooling potential of opening windows, and 3) the use of an “adaptive algorithm” for predicting window opening behaviour for thermal simulation in ESP-r. We found that the mean indoor and outdoor temperatures when the window was open were higher than when it was closed, but show that nonetheless there was a useful cooling effect from opening a window.

The Canadian residential sector contributes approximately 80 megatonnes (Mt) of greenhouse gases (GHG) to the environment each year. With the ratification of Kyoto protocol, Canada has committed to reduce its GHG emissions by at least five percent between 2008 and 2012 on the basis of its 1990 emission levels. To meet this target Canada has to evaluate and exploit every feasible meaning to reduce the fossil fuel energy consumption and the consequent GHG emissions. In this work, test-case Canadian houses were modeled in the building energy simulation software ESP-r.