Office building operation performance batch diagnosis method, energy saving method and system

Abstract

The invention discloses an office building operation performance batch diagnosis method, an energy saving method and an office building operation performance batch diagnosis system. The diagnosis method comprises the following steps: S1, collecting annual total energy consumption of an office building, annual total energy consumption of general energy consumption equipment, energy consumption states of the general energy consumption equipment and an enclosure structure and other information; s2, determining energy consumption transformation objects and transformation directions of different office buildings according to energy consumption indexes and energy consumption states on the basis of the collected energy consumption information; s3, performing energy-saving standard-reaching rate testing on the building environment systems of different office buildings; and S4, performing comprehensive scoring on different buildings according to the obtained energy-saving standard-reaching rate and energy consumption information of the building environment system, and determining a final reconstruction sequence of the reconstruction objects of the different buildings according to the comprehensive score. According to the method, the building environment and the building energy consumption can be effectively combined, the office building performance transformation object and direction can be quickly and accurately found out, and the method is particularly suitable for batch diagnosis of the office building operation performance.

Description

technical field [0001] The invention relates to the technical field of energy-saving methods, in particular to the technical field of a method for obtaining energy-saving renovation strategies by diagnosing the operational performance of office buildings. Background technique [0002] With the improvement of the performance of new buildings, how to improve the operation performance of existing buildings with a large amount and a wide range has gradually become a research hotspot of the existing technology. Among them, public buildings, especially large public buildings, consume more than 10 times the power of residential buildings. Large-scale public buildings that have passed LEED certification are not energy-efficient buildings, and it is extremely necessary to take effective measures to curb the growth of energy consumption. [0003] The effect of building operation is the most direct manifestation of the green and low-carbon development of the construction industry. In o...

AI Technical Summary

Problems solved by technology

However, how to reasonably combine the building environment quality and building energy consumption in the evaluation system, and how to make the traditional diagnosis and evaluation process intelligent still need further research.

[0008] In addition, most of the existing building performance diagnosis methods require a lot of on-site testing work and a long diagnosis period. For example, in the existing building performance diagnosis, according to the requirements of JGJ 176 In order to draw conclusions, it is necessary to conduct a large number of investigations and tests on the enclosure structure, heating and air conditioning, power supply and distribution, lighting, monitoring and control, etc.

The implementation period of the above-mentioned process for a single construction project is usually about one month, and it takes nearly two years for the diagnosis and evaluation of batch construction, which requires a lot of manpower and financial resources

At the same time, the diagnostic decision-making based on the existing diagnostic methods also has the defects of unclear process, too much reliance on on-site testing and technical measures as the guide, and low decision-making efficiency. It will also generate a lot of energy and resource consumption that is not considered in the energy saving improvement

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