LoginThis paper examines how calibration performs under different levels of uncertainty in model input data. It specifically assesses the efficacy of Bayesian calibration to enhance the reliability of EnergyPlus models.
Bibliographic database Airbase
AIRBASE is the Bibliographic Database of the AIVC. It contains publications and abstracts of articles related to energy efficient ventilation. Where possible, sufficient detail is supplied in the bibliographic details for users to trace and order the material via their own libraries. Topics include: ventilation strategies, design and retrofit methods, calculation techniques, standards and regulations, measurement methods, indoor air quality and energy implications etc. Entries are based on articles and reports published in journals, internal publications and research reports, produced both by university departments and by building research institutions throughout the world. AIRBASE has grown and evolved over many years (1979 to present day, over 22000 references and 16000 documents available online). For most of the references, the full document is also available online.
Access to the publications is free of charge.
Some building performance simulation programs compute the volume flow rate in ducts and pipe net-works for a given fan speed, which may be computed by a feedback controller, based on the intersection of the flow resistance and fan curve.
Simulation is often utilised in the regulatory assessment of building performance as in the case of the Australia’s Nationwide House Energy Rating Scheme (NatHERS).
ANSI/ASHRAE Standard 140, Standard Method of Test for the Evaluation of Building Energy Analysis Computer Programs applies the IEA BESTEST building thermal fabric test cases and example simulation results originally published in 1995.
The objective of this paper is to present a general methodology for the calculation of thermal response factors, known as g-functions, of vertical borehole fields.
A framework entitled Evolutionary Energy Performance Feedback for Design (EEPFD) was developed to mobilize the potential of multidisciplinary design optimization (MDO) towards solving current obstacles between design and energy performance feedbac
This paper reports on a study of the thermal performance of two-storey apartments in Adelaide, South Australia.
This paper, which is an extension of previous studies, presents the modeling of an existing central cooling plant by using the EnergyPlus program.
Optimizing the operations of a HVAC system in response to the dynamic loads and varying weather conditions throughout a year can result in substantial energy savings.
Simulating a building to predict its performance over the course of a full year requires an accurate repre-sentation of the stable and representative weather pat-terns of a location, i.e. a weather file.
Model Predictive control is an advanced control tech-nique that has been used to optimize thermal comfort in buildings. Nowadays, the new buildings are char-acterized by an important inertia as well as low power heating systems.
The building performance simulation community ap-plies theory from several different fields to develop models for heat transfer, light propagation, human be-havior, and other domains.
Building performance simulation is being increasingly deployed beyond the building design phase to support building operation.
Traditional energy performance calculated using building simulation with the typical meteorological year (TMY) weather data represents the energy performance in a typical year but not necessarily the average or typical energy performance of a buil