The CLIM 2000 software proposes a host architecture for dynamic, modular building energy modelling. CLIM 2000 provides a library of basic models, which in particular allows simulation of hydraulic heating networks. Unlike those oriented towards simulation of the building envelope, these models pose specific resolution problems. Owing to the modelling adopted, the elements making up the hydraulic networks require knowledge of the topology of the heating circuit.

In this study, energy simulation program of heat distribution network in a district heating and cooling system was developed. Research on actual condition of heat distribution system of DHC plant was also executed. Using the measurement result, the accuracy of the program is confirmed. Using this program, the relationship between scale of pipeline network and energy consumption of heat distribution system was examined. In the final part, importance of chilled water temperature differences at the building side for energy performance of DHC is clarified quantitatively.

The purpose of this study was to evaluate the capabilities of four energy analysis software to predict the energy performance of an existing house. The discussion covers: (i) the modelling-related issues, and (ii) the impact of modelling accuracy on the prediction of energy and cost savings

Three indices are introduced in order to evaluate cost saving operation of chillers using nighttime low electric power rates for thermal storage systems with water tanks. A storage tank discussed here is a multi- connected complete mixing type, which is widely used in Japan. The indices are calculated with some measured data. In this paper, definitions of the indices are described, and one of evaluation results in actual office buildings is shown.

Simplified equations are established to estimate the energy consumption for the heating and cooling of residences, with the coefficients like air-conditioning area rate,  air-conditioning-hour rate,  etc..  To determine these coefficients, a detached house model is supposed. The air-conditioning load of the house in different regions is calculated with a thermal performance simulation program called the PSSP. With the simplified equations, the primary energy consumption in the future is estimated.

In this paper, an approach to the optimum volume of rock bed, its charged thermal energy and the optimum air flow rate for an air-based solar heating system in charging mode is presented. The relationship between the optimum volume of rock bed and the air flow rate is approximately obtained as a theoretical solution of the linear approximation equation, and the charged thermal energy in the rock bed is approximately obtained as a function of the air flow rate.

With the advent of the computing age, heat balance based techniques for simulating thermal loads in buildings became a reality for architects and engineers. However, since the 1970s, the capabilities of most of the well-known heat balance based simulation programs have remained fairly stagnant. Much of the reason behind this trend lies with the complexity of the programming required to deal with the fundamental physics encountered in a building and the relative simplicity of the programming languages that were available.

Many of the popular building energy simulation programs around the world are reaching maturity– some use simulation methods (and even code) that originated in the 1960s. For more than two decades, the U. S. government supported development of two hourly building energy simulation programs, BLAST and DOE–2. Designed in the days of mainframe computers, expanding their capabilities further has become difficult, time-consuming, and expensive. Because of these problems, a U.S.

EESLISM is a tool developed to simulate the whole energy system consisting of both building thermal system and mechanical system for heating and cooling and domestic hot water supply. Although the algorithm is based on the heat balance model, the algorithm is designed to reduce the size of simultaneous equations for increasing computation efficiency and simplification in developing software.

The Florida Solar Energy Center (FSEC) is developing a new software (EnergyGauge USA) which allows simple calculation and rating of energy use of residential buildings around the United States. In the past, most residential analysis and rating software have used simplified methods for calculation of residential building energy performance due to limitations on computing speed. However, EnergyGauge USA, takes advantage of current generation personal computers that perform an hourly annual computer simulation inless than 30 seconds.