On-site energy system is a system which generates power and heat on the spot and is considered as one of the alternatives of energy saving system. Due to the fact that many complicated items existing in such systems, this research has been carried out in an attempt to show a new dealing of design related to an on-site energy system in a systematic method. Through basic analysis of energy flow in the on-site energy system and conventional system as well, it was found out that 12 kinds of energy usage are of special characteristics in consumption, whereas three of them are to be considered as basic ones and also as independent parameters, i.e. common demand of electricity, energy demand for cooling as well as well as energy demand for heating and hot water supply. By knowing those three parameters, quantity of input energy requirements can be determined. Consequently, optimal options of the appropriate energy system type for a building for instance, could be deduced out of the proposed method. Survey of energy consumptions in 8 office-buildings in Tokyo has been made. Data were obtained on electric power consumption, flow of high-tension electricity for electric driven refrigerator and oil consumption of boiler on the bases of time-interval per hour, day, month and year. By statistical analysis of the data, characteristics of the above mentioned three basic kinds of energy usage were obtained. They are average and change of consumption and standard deviation. According to those characteristics and by considering size and efficiency of the equipments, energy requirements in buildings for three basic kinds of energy usage were modelled, in which the model was considered to be composed of standard energy requirements and energy requirements' change and fluctuation per month as well as per hour. As a result, standard energy requirements were set to have the value of 27.3W・h/m^2・h of common demand of electricity, 56.7kcal/m^2・h of energy demand for cooling and 26.0kcal/m^2・h of energy demand for heating and hot water supply. For monthly and hourly considerations, change and fluctuation were introduced by means of expected average values and standard deviations. In the case of monthly approach, expected average values and standard deviations were set as ratios of daytime requiremets for one weekday to standard energy requirements. However, in the second case, namely the approach per hour, two ratios were set as follows: (a) energy requirements per hour to monthly expected average values and (b) standard deviations per hour to the already mentioned standard energy requirements. Here differences among weekdays, Saturdays as well as Sundays and holidays have been taken into consideration. The knowledge obtained about energy requirements in buildings would be applied to a system simulation model. Details over that model will be presented in consequent papers. The final result which should be achieved within the frame-work of this research, is crystallized by the ability to evaluate and design an on-site energy system.
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