Energy saving data metering and calculating method

Abstract

The invention discloses an energy saving data metering and calculating method. The method comprises the following steps: (1) taking (M+N) unit times as an energy saving period; (2) in the energy saving period, automatically and randomly selecting N unit times in advance to close an energy saving system with the system, and taking an energy consumption average value of the N unit times as energy consumption reference of unit time; (3) in other M unit times, starting the energy saving system, and taking an energy consumption average value of the M unit times as an energy consumption average value of the unit time when the energy saving system is started; (4) comparing the energy consumption average value of each unit time in the M unit times with the energy consumption reference to obtain average energy saving quantity of the unit time and average energy saving rate of the energy saving period when the energy saving system is started; (5) multiplying the average energy saving quantity of the unit time when the energy saving system is started by unit time quantity (which is M) of starting the energy saving system to obtain total energy saving quantity of the energy saving period.

Description

technical field [0001] The invention relates to an energy-saving data measurement and calculation method suitable for the energy-saving industry. Background technique [0002] At present, the existing measurement and calculation methods in China's energy-saving industry mainly include the following: [0003] 1. Traditional comparison method based on historical energy consumption data and current energy consumption data [0004] This method includes year-on-year (the method of comparing the energy consumption data of the current energy-saving period with the energy consumption data of the same period last year), chain-to-chain (the comparison of the energy consumption data of the current energy-saving period with the energy consumption data of the previous same time period) correct method) and other traditional measurement and calculation methods. Its main feature is to sort out the energy consumption data of the energy-saving nodes in the past cycle, measure the energy con...

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Problems solved by technology

[0005] The shortcomings of this method are: (1) For most energy-consuming units in China, there is no historical energy consumption data before the construction or renovation of energy-saving projects, and in this case, comparison cannot be made; (2) For China For the vast majority of energy-consuming units, even if there is historical energy consumption data, since most of them have not implemented sub-item and time-based measurement before the construction or renovation of energy-saving projects, their historical energy consumption data is not referable; (3 ) The energy consumption data of each energy-saving cycle has great differences due to changes in conditions such as climate, environment, energy-consuming equipment, number of users, business types, and business volumes. This difference will lead to historical energy consumption data used as reference data and The current energy consumption data is no longer referable, which leads to a large deviation in the energy saving data obtained by this method, and this deviation will be proportional to the accumulation of the number of nodes and time; (4) for no historical The energy consumption unit of the energy consumption data, if it takes a long time to remeasure the energy consumption benchmark data, it will waste a lot of energy saving time and lose economic benefits

[0008] The disadvantage of this method is that the climate, environment, energy-consuming equipment, number of users, business volume and business types of each energy-saving node cannot be completely consistent, and the benchmark node cannot replace the real situation of each energy-saving node. These differences will lead to different deviations in the calculated and measured energy-saving data, and this deviation will accumulate over time and increase in proportion to the number of nodes

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