Public building on-line energy saving diagnosis method based on building energy consumption monitoring data

Abstract

The invention relate to a public building on-line energy saving diagnosis method based on building energy consumption monitoring data, relating to the on-line diagnosis technical field, and comprises the steps of: a, calculating an energy consumption standard value M of building energy consumption monitoring data in a sub-item and sub-function zone diagnosis period; b, calculating the energy consumption energy saving potential decision value S of a single public building diagnosis period; c, calculating energy consumption energy saving potential decision intervals S1 and S2 in a single public building diagnosis period; and d, determining whether a public building possesses energy saving potentials. Accordingly, the method calculates real time monitoring energy consumption dynamic states of a lot of buildings, realizes on-line automatic diagnosis on building energy consumption, provides powerful means and methods for excavating building energy saving potentials, and fills the technical blank of the building energy consumption monitoring field. The method is completely suitable for different types of public buildings, and can be used for decision analysis support of government personnel in charge of energy saving, and for energy saving potential and effect self-evaluating analysis of service building owners.

Description

technical field [0001] The invention relates to the technical field of online diagnosis, in particular to a method for diagnosing energy saving of large public buildings based on monitoring data of energy consumption of multiple buildings. Background technique [0002] In recent years, more than a dozen large-scale public building energy consumption monitoring demonstration cities have been built in China. The large-scale public buildings monitored in these cities range from thousands to hundreds. In view of the wide variety of building types in the field of large public buildings (generally divided into more than a dozen building types such as office buildings, shopping malls, hotels and restaurants, and comprehensive buildings). With the continuous adjustment of business forms, many office buildings and shopping malls also have some characteristics of comprehensive buildings. At the same time, comprehensive public buildings have several areas with different functions, suc...

AI Technical Summary

Problems solved by technology

Due to the completely different energy consumption requirements and energy consumption methods of different functional areas, the energy consumption of building areas in different functional areas is quite different, and it is difficult to make a horizontal comparison of building energy consumption levels, let alone directly diagnose the energy-saving potential of buildings through online methods

Although the current energy consumption monitoring has accumulated a large amount of real-time energy consumption data, which has the premise of data diagnosis and analysis, but these data have not been well utilized at present, and the original intention of energy-saving diagnosis of large public buildings has not been realized.

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