In  order  to  evaluate  the  air  conditioning  system performance in terms of control, comfort and energy conservation, this paper presents an approach to modeling automatic control process in a typical conditioned space of an office building. As air- conditioning system, constant volume single-duct system is adopted for interior zone and FCU system for perimeter zone. As for simulation model, we adopted dynamic calculation model expanded by state transition method [1].

In order to evaluate energy efficiency of solar hot water systems, a calculation method was developed in this paper that models the unsteady flow and temperature distribution in heat storage tank utilizing Computational Fluid Dynamics (CFD). Compared to actual measurements, adequate calculated results were obtained that agree during both heat storage and supplying hot water. These calculation results can not be easily replicated in actual measurements. Applying these results to a block model that reduces the time required for calculation will be the subject of future study.

The  Simulation  Problem  Analysis  and  Research Kernel (SPARK) uses graph-theoretic techniques to match equations to variables and build computational graphs, yielding solution sequences indicated by needed data flow. Additionally, the problem graph is decomposed into strongly connected components, thus reducing the size of simultaneous equation sets, and small cut sets are determined, thereby reducing the number of  iteration variables needed to solve each equation set.

This paper describes a method to calculate cool and warm exergies stored by building envelopes and the result of a case study in terms of passive cooling strategy using the building envelope heat capacity. The concept of exergy enables us to show explicitly the cooling potential of a substance that is colder than its ambient. We call the cooling potential “cool exergy” and the heating potential “warm exergy”. The value of either cool or warm exergy is positive without exception.

In  this  paper   a   new  method  called  TSM  was presented to analyze wind effect on high-density building areas. With TSM, a software named WEATHER is developed based on STACH-3. The wind effect on a simple building is simulated to validate STACH-3 for outdoor airflow. The wind effect to a real zone with 9 buildings is analyzed with WEATHER. It shows that TSM is an effective method to deal with high-density building areas. It takes an acceptable CPU time to get convergence.

The purpose of this study is to show explicitly a series of exergy input, output, and consumption for daylighting, electric-lighting, and space heating/cooling system and hence to reveal how daylighting system consumes solar exergy and how electric-lighting, and heating, and cooling systems consume exergy originally contained by fossil fuel. The merit of exergy calculation is that we can explicitly and thoroughly show how different types of energy are used as a series of exergy consumption at different parts of a system.

The  authors  propose  a  predicting  methodology combined with simultaneous solution for Building- Urban-Soil system to analyze the heat island phenomenon quantitatively in this paper. Using this model, numerical simulation is performed in order to analyze quantitative effects of many factors on the heat island phenomenon. The factors of the heat island phenomenon addressed are: ground materials, geometric urban configuration, artificial exhausted heat release, physical properties of  buildings envelope and mechanical performance of air-conditioning system.

In  the  present  work,  human  thermal  comfort  is investigated within the built environment. The analysis is based on two building thermal simulation models. In the first one - Nodal Network – the air condition (such as, air temperature and velocity) within each thermal zone is assumed uniform and therefore, all zone occupants are exposed to the same condition. In the second model – Nodal Network- CFD coupling – mean radiant temperature, air temperature and velocity variations are considered.

This  work  has  allowed  to  test  different  model improvement tools, by applying them on two building models. At the close of this study, an important point concerning the capability of the CLIM2000 software program to perform exact derivative calculations came up : this advantage of the software make the sensitivity-uncertainty-optimisation work very accessible without increase of computer time.