The paper discusses the development of a computational thermal simulation engine as  an object. The simulation engine utilizes Transfer Function (TF) Algorithms where all TF procedures have been implemented. The simulation is integrated with the Microsoft Windows environment and has been made to take advantage of many of this operating system’s features. In particular, the separate components of the simulation  take advantage of the Windows feature to communicate - Object Linking and Embedding (OLE).

A major goal in computer-aided design research has been the development of integrated design for convenient generation and evaluation of evolving designs. Despite progress in the development of integrated performance simulation systems, a number of usability issues have not been addressed effectively. These include support for the convenient manipulation of geometric and semantic building information. This paper explores the potential for the integration of simulation with existing representations as they are implemented in commercial or research drafting systems.

The purpose of this study is designing a hybrid system which is a combination of radiant cooling and low temperature air conditioning integrated with ice stor- age system. Also this evaluates the performance of the system. We compared energy amount with annual operating costs of conventional air conditioning system and this radiant air conditioning system.

The LESCOM program using the Response Factor Method developed by the authors was applied to the direct gain system and calculation of fluctuations in room temperature. Regarding the solar water collector, the efficiency straight line was obtained from the measured values. The one-dimensional thermal stratification was applied to the water storage tank. It was discovered from the measured values that relations between the amount of solar radiation on the solar cells and the amount of power generation in photovoltaic power generation could be formulated in the linear equation.

The operation of technical building devices demands a lot of heating, cooling and electric energy. This also causes monetary costs and pollutant emission as well. Optimization investigations are very useful to make the running of plants more efficient. This paper shows two optimization methods. Some practical applications clearly demonstrate the profits of an optimized operation of  technical building installation.

The optimization of the cogeneration systems (CGS) with the gas engine generator is studied by using the Hamiltonian algorithm (HA). The HA, invented from the study on dynamical systems, is efficient to optimize to design and control the complex systems. The results show that the HA enable us to design the optimal CGS under the objective function about the investment of the plants and the equipment. The HA  is  also  found  to  be  effective  to  control  the optimal CGS operations.

The optimal supervisory control strategy for a central chilled water facility has been determined. A quadratic linear regression relation for the total system power in terms of the controlled and uncontrolled variables was  developed  using simulated data. The supply air, chilled water, and condenser water temperatures that minimize energy consumption are determined as functions of load, ambient wet bulb temperature, and sensible heat ratio. The  use  of  the  quadratic  expression  to ine optimal control is demonstrated.

A reduction in the emissions arising from urban activities demands a combination of energy efficiency measures and a move away from fossil fuel sources. Progress may be enabled by the use of advanced materials and control systems and the adoption, where possible, of renewable energy conversion technologies. A major challenge is the incorporation of such systems in a manner which preserves the architectural heritage of the district. This paper describes the modelling approach used when assessing the renewable energy systems to be deployed within a demonstration project in Glasgow, UK.

Several attempts have been made these past few years to obtain a simplified dynamic model of thermal behaviour of buildings from recorded data. System identification techniques are well known in other fields, such as aeronautics.

Simulation  of  visual  context  in  architecture,  the environment that surrounds both building and observer, is an essential but problematic feature of realistic imagery. The complexity and detail of typical environments pose serious difficulties for computer modelling and photomontage techniques. The results are often simplistic, potentially misleading and incapable of representing many of the physical and perceptual relationships involved. This paper describes an alternative methodology using imagery for the whole optic array at a specific location.