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.

The paper describes how first-principles models can be used to assist in the commissioning of HVAC systems. The techniques utilise models that are extended to treat different types of faults. A sequence of test signals is applied to the system under test and the measured sensor and control signals are used to estimate parameters of the models relating to certain faults. These parameter estimates are compared with values calculated from design information. Differences are taken to be evidence of faulty or unsuitable equipment, incorrect installation, or inadequate commissioning.

To prevent the problems of internal condensation inside building walls, it is necessary to predict the moisture behavior exactly not only in the hygroscopic region of moisture content but also in the non-hygroscopic region. The purpose of this study is to understand the behavior of condensation in building materials. For a single layer wall, which consists of a single material, previous studies have been done by a variety of authors.