Office energy consumption prediction method

Abstract

The invention belongs to the building energy consumption prediction field, and provides an energy utilization management method so as to achieve the purpose of energy saving and amend the energy saving weak links. Therefore, the adopted technical scheme of the method is that the office energy consumption prediction method comprises the following steps: 1) establishing a people-in-the-room rate model; 2) establishing a device hourly power model; 3) establishing a lamp hourly power model; 4) calculating hourly power of indoor consumed energy according to the hourly number of people obtained from the step 1) and the hourly power obtained from the step 2)- the step 4), and with the running time being combined, obtaining daily average power consumption amount of target offices in the long-term prediction; and 5) providing a power consumption optimization scheme. The method is mainly applied to the building energy consumption management.

Description

technical field [0001] The invention belongs to the field of building energy consumption prediction, and in particular relates to a prediction method for office energy consumption. technical background [0002] At present, many scholars at home and abroad have discussed the estimation and prediction methods of building energy consumption. The most commonly used office energy consumption prediction method is the area index method, that is, the equipment and lighting power are based on the unit area, and the prediction is made according to the specific area of ​​use. This method is based on the existing conditions of most buildings, and through research, it is found that the area index method's prediction of energy consumption is very rough for a specific building or room. In fact, the use of equipment and lamps is caused by the needs of personnel, and their energy consumption is mainly affected by the use habits of personnel. Therefore, the present invention proposes a metho...

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Problems solved by technology

[0003] In terms of cooling and heating loads of air-conditioning systems, more research focuses on the influence and calculation of outdoor conditions, while the calculation of indoor loads is relatively rough. On the one hand, the current calculation method of air-conditioning loads separates personnel from energy-consuming equipment , ignoring the relationship between personnel, equipment, lighting and other heat dissipation in actual use. On the other hand, the calculation of internal load still adopts the area index method, which does not fully consider the energy conversion and relationship between indoor energy consumption and indoor heat dissipation. Therefore, it cannot accurately represent the variable indoor heating value in reality, resulting in a large design value of the air conditioning load, resulting in the phenomenon of "big horses and small carts"

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