Abstract: Disclosed is a method for predicting the cooling load for efficient operation of a heat accumulation system by obtaining a prediction function regarding outdoor air temperature and specific humidity from meteorological office data, predicting the outdoor air temperature and specific humidity by using the prediction function and the highest and lowest temperatures of the weather forecast, and predicting the cooling load based on the sensible heat load coefficient, outdoor air coefficient, sensible heat load constant, and latent heat load constant, which are obtained from the building design data. The cooling load can be predicted without using a complicated mathematical model and with no reference to past operation data regarding the target building, but solely based on four air-conditioning design values of the building and the highest and lowest temperatures of the next day, which can be easily obtained from the weather forecast of the meteorological office.

Abstract: This invention is the safe street light capable of separating lamp unit and rotating arm designed for preventing the lamp unit from dropping in the lamp unit dropping and rising from the ground for exchanging electric bulb and repairing the lamp unit, and being attached to the pole of the street light firmly, and rotating the arm to work facilitating part, and this invention is installed at the pole of the street light fixedly set up vertically to the ground, and installed on the rotating device turning the arm forming parallel to the ground on the top street light and the above pole of street light, and equipped with the hold attaching device raising and dropping the above lamp unit from the ground, capable of minimizing the safety accident of the operator in repairing and maintenance work, and maximizing operation efficiency.

Abstract: Disclosed is a method for predicting the cooling load for efficient operation of a heat accumulation system by obtaining a prediction function regarding outdoor air temperature and specific humidity from meteorological office data, predicting the outdoor air temperature and specific humidity by using the prediction function and the highest and lowest temperatures of the weather forecast, and predicting the cooling load based on the sensible heat load coefficient, outdoor air coefficient, sensible heat load constant, and latent heat load constant, which are obtained from the building design data. The cooling load can be predicted without using a complicated mathematical model and with no reference to past operation data regarding the target building, but solely based on four air-conditioning design values of the building and the highest and lowest temperatures of the next day, which can be easily obtained from the weather forecast of the meteorological office.