@article {424, title = {Outdoor synthetic temperature for the calculation of space heating load}, journal = {Energy and Buildings}, volume = {28}, year = {1998}, month = {1998}, pages = {269-277}, type = {Research Article}, abstract = {

Methods to select the outdoor design temperature (ODT) for heating load calculation specified in current design codes in different countries are firstly discussed. Then a new method namely Stochastic Analysis is presented to determine the outdoor synthetic temperature (OST), which fully considers the randomness of weather and internal casual gains, and the thermal performance of buildings. The concept of OST enables the design of space heating system to be the trade-off between economics and risk. Finally, case studies of the influence of different building components on OST of a residential room in Beijing have been studied, which shows that OST depends upon building structures as well as weather conditions. It is recommended that OST rather than ODT should be employed in heating load calculation hence, sizing equipment for space heating systems.

}, keywords = {heating load calculation, outdoor design conditions, residential buildings, stochastic analysis, thermal performance of buildings}, doi = {10.1016/S0378-7788(98)00013-9}, author = {Tianzhen Hong and Yi Jiang} } @article {426, title = {IISABRE: An integrated building simulation environment}, journal = {Building and Environment}, volume = {32}, year = {1997}, month = {1997}, pages = {219-224}, type = {Research Article}, abstract = {

An integrated building simulation environment, IISABRE, is introduced. IISABRE consists of CABD, BTP and IISPAM. CABD is an AutoCAD-based building descriptor enabling users to draw a building and define information. Some design tools are built into CABD, and a STEP-based building database can be generated, which provides an open mechanism to share the building database with other programs. BTP is a program for the detailed dynamic simulation of building thermal performance. With a PC 486DX50 (8M RAM) running in MS-Windows 3.11, BTP needs about 40 minutes to calculate the annual hourly energy demand for a building with 20 zones. IISPAM is a knowledge-based system for translating the STEP-based building database into ASCII-based data files for BTP. IISABRE can be widely employed in the field of building environmental engineering in order to improve the energy efficiency of buildings and the thermal comfort of the indoor environment.

}, keywords = {btp, building simulation, dest, energy performance, gui}, doi = {10.1016/S0360-1323(96)00057-1}, author = {Tianzhen Hong and Yi Jiang} } @article {425, title = {A new multizone model for simulation of building thermal performance}, journal = {Building and Environment}, volume = {32}, year = {1997}, month = {1997}, pages = {123-128}, type = {Research Article}, abstract = {

A new multizone model which is an improvement on the state space model is presented, which is potentially more efficient in the simulation of large scale buildings than other methods such as finite difference, transfer functions, or finite volume. The modeling philosophy is firstly discussed. Then the principle and algorithm of the new model are described. Finally, a PC based program BTP developed based on state-of-the-art modeling strategy reveals its applicability with fast calculation speed and satisfactory accuracy in the modeling of building energy performance.

}, doi = {10.1016/S0360-1323(96)00045-5}, author = {Tianzhen Hong and Yi Jiang} } @article {2577, title = {Integrated building design system}, journal = {HV\&AC, in Chinese}, year = {1995}, month = {1995}, author = {Yi Jiang and Tianzhen Hong} } @conference {2627, title = {Prediction of building thermal performance under random conditions}, booktitle = {TSINGHUA-HVAC-{\textquoteright}95}, year = {1995}, month = {1995}, address = {Beijing, China}, author = {Tianzhen Hong and Yi Jiang} } @article {427, title = {Stochastic weather model for building HVAC systems}, journal = {Building and Environment}, volume = {30}, year = {1995}, month = {1995}, pages = {521-532}, type = {Research Article}, abstract = {

The weather is a multi-dimensional stochastic process; the traditional typical or standard meteorological year is not enough to describe the random behaviour of weather. The model presented in this paper is based on the vector auto-regressive (VAR) time series method. From the validation results, it can be seen that the stochastic weather model is essential to describe real climate behaviour, and the accuracy obtained is sufficient for the application of the stochastic weather model in the simulation and stochastic analysis of building HVAC systems.

}, doi = {10.1016/0360-1323(95)00007-S}, author = {Tianzhen Hong and Yi Jiang} } @article {428, title = {Stochastic analysis of building thermal processes}, journal = {Building and Environment}, volume = {28}, year = {1993}, month = {1993}, pages = {209-218}, type = {Research Article}, abstract = {

A methodology is presented for investigating the uncertainty properties of the building thermal processes caused by the random behaviour of the meteorological processes and the casual gains. A detailed building thermal model is used with a stochastic weather model and a random casual gain model. The probability distribution of the zone temperature of the building is calculated directly from these models. The overheating risk has been analysed as an example. The probability distribution of the periods when the zone temperature is higher than the demand temperature is calculated. The result shows all the possible situations rather than only a sample as would be obtained by running a normal simulation using given weather data. The influence of different building components on the overheating risk has been studied. The result shows that the most likely component for overheating risk in a residential building in Beijing is the window size. The thermal mass of the internal walls and the placing of windows have little effect on overheating risk.

}, doi = {10.1016/0360-1323(93)90027-Z}, author = {Yi Jiang and Tianzhen Hong} } @conference {2628, title = {Stochastic analysis of overheating risk in buildings}, booktitle = {CLIMA 2000}, year = {1993}, month = {1993}, address = {London, UK}, author = {Yi Jiang and Tianzhen Hong} }