Space conditioning of a laboratory environment is more complicated than that of a typical commercial office building space. Safety considerations impose additional constraints over the usual comfort requirements. The control actions required to provide safety often counteracts those needed to meet comfort criteria. The dynamic interaction between the different control systems is complex and critical to laboratory safety. A description of a dynamic simulator for use in design and evaluation of laboratory HVAC systems is presented in this paper.

This work focuses on the testing and modelling of a bisplit refrigeration system. This system is composed of two evaporating circuits (each circuit consists of an expansion device and an evaporator) connected in parallel inside the same refrigeration unit. The test bench developed in the Laboratory of Thermodynamics is briefly described and the influence of the refrigerant charge effect on the system global performance is examined. The modelling of a bisplit chiller is also studied and a first model validation is given.

Energy requirements for HVAC systems operation in buildings must be known on account of the necessity to determine the operation costs of the buildings and to carry out analyses aimed at improvement of design conceptions applied in buildings and installations as well as their operational parameters. It is commonly assumed that the most useful tool for such analyses is a detailed simulation model: building HVAC system. However, the number of details included in the model makes the analyses very labour demanding and may result errors when preparing simulation data.

This paper presents two approaches used to develop a model of Room Storage Heater. The first one consists of a dynamic model of the RSH developed by the authors using the results obtained from tests performed in a calorimetric chamber. The model was verified against the results obtained during five different charge-discharge test periods. The second approach is a new concept based on Neural Networks applications. In this approach, we suppose that we do not have a description of the RSH itself.

The authors have created a Neural-Fuzzy Assistant which acts as a Decision Support System and helps to perform quickly and easily the estimations of office building energy consumption. The Neural-Fuzzy Assistant presented in this paper allows the user to determine the impact of eleven building parameters on the electrical annual and monthly energy consumption, annual and monthly maximum electrical demand and cooling and heating annual consumption and demand.

In order to reduce the energy demand in the field of heating, ventilation and air conditioning many efforts have been made during the last decades. HVAC-components used nowadays are much more advanced than those used years ago. The success of the energy saving endeavors becomes even more apparent if the controlling devices, and there especially the implementable controlling strategies, are put in the center of view. In former times the controlling appliances in HVAC-systems consisted of analog devices which were relatively inflexible in regard to varying controlling strategies.

The development of the heat pump aims at a compact heat pump providing heating and cooling in an environmentally acceptable and energetically less consuming way. The heat pump fulfils the following functions : heating in winter time and cooling in summer time and producing sanitary hot water during all seasons. A water-water distribution system is chosen for these purposes. This is the most simple way to make the system reversible between heating and cooling using a 4-way valve in the water distribution system.

The paper does some research work on limitations of design of PCM cool thermal storage in air-conditioning system, and provides some concepts related to the idea, on which the paper explains the capacity of this kind of air-conditioning system to reduce power highest need . Finally, the analysis method is described concretely by an example project in the campus of USTC.

The problem developed and analyzed in this paper is that of the estimation of the uncertainty associated with the results obtained by numerical simulation codes of physical systems induced from input data. Implicitly posed by the authors is the delicate question concerning the use of the output obtained by calculation codes used in prediction situations, and the reliability which can be attributed to such ouput. One example of thermal behaviour of simple physical systems is treated, serving as an illustration.