| 摘要 |
<p>A cooling load predicting method is provided to predict cooling load by air conditioning design values for a building and highest and lowest temperature of a next day which are obtained easily from a weather forecast report instead of using any complicated mathematical models or past operation data for the building, thereby developing an algorithm for controlling various and complicated heat storage systems effectively and conveniently. A cooling load predicting method includes the steps of calculating a current heat load in a cooling load by formula 2, and calculating a latent heat load by formula 3. Formula 2 is as follows: Qs=Ps(To-Ti)+ma(hio-hi)(1- epsilons)+Cs, wherein Qs represents a current heat load, Ps represents a coefficient of current heat load, ma represents a coefficient of atmospheric air, Cs represents a constant of the current heat load, To represents atmospheric temperature, Ti represents room temperature, hio represents air enthalpy at a point where indoor specific humidity meets the atmospheric temperature, hi represents air enthalpy in room conditions, and epsilons represents a current heat recovery rate of introduced atmospheric air. Formula 3 is as follows: Ql=ma(ho-hio)(1- epsiloni)+Cl, wherein Ql represents a current heat load, ma represents a coefficient of atmospheric air, ho represents air enthalpy in atmospheric air conditions, hio represents air enthalpy at a point where indoor specific humidity meets the atmospheric temperature, epsiloni represents a latent heat recovery rate of introduced atmospheric air.</p> |
