Environment-friendly building evaluation energy-saving optimization integrated system

Abstract

The invention relates to the technical field of green buildings, and discloses a green building evaluation energy-saving optimization integrated system, which comprises a data acquisition module, a data analysis module and a data evaluation module, the data acquisition module comprises a regional building data acquisition unit, a current building data acquisition unit, a regional equipment data acquisition unit, a current equipment data acquisition unit and a meteorological data acquisition unit, the regional building average energy consumption is calculated through a regional building energy consumption data set, and the regional equipment average energy consumption is calculated according to a regional equipment energy consumption data set; the current building energy consumption is calculated through the building area and the outdoor temperature, the current total equipment energy consumption is calculated through the current equipment energy consumption data set, then the regional building average energy consumption and the current building energy consumption are evaluated and compared, and the energy loss of a green building caused by building materials is fully considered. And the average energy consumption of the regional equipment and the current total energy consumption of the equipment are evaluated and compared, so that the energy-saving optimization evaluation of the green building is more comprehensive.

Description

Technical Field

[0001] The present invention relates to the technical field of green buildings, in particular to a comprehensive system for evaluating energy conservation and optimizing green buildings. Background Art

[0002] Green building refers to architectural practices that comprehensively consider energy conservation, environmental protection and sustainability during the design, construction, operation and demolition of buildings. Its goal is to reduce the negative impact on the environment and resources while providing people with a healthy and comfortable living and working space. Green building focuses on harmonious coexistence with nature. It is not only a construction technology, but also a philosophy of sustainable development. In today's rapidly developing globalization and urbanization, green building is gradually becoming mainstream as an effective means to solve the problems of resource depletion, environmental degradation and ecological balance.

[0003] The green building assessment and energy-saving optimization comprehensive system is a comprehensive assessment and optimization method that aims to improve the energy efficiency of buildings, reduce environmental impact, save resources and improve user comfort. Through systematic assessment and optimization, the green goals of buildings can be effectively achieved and the sustainable development of the construction industry can be promoted. With the advancement of technology and the improvement of environmental awareness, green building assessment and optimization will continue to evolve and provide more scientific and efficient solutions for future green buildings.

[0004] When evaluating energy conservation and optimization of green buildings, existing assessment systems generally ignore the energy loss caused by the building itself, resulting in incomplete assessment results. It is difficult to detect when building materials cause certain energy consumption in green buildings, thus causing energy loss. Summary of the invention

[0005] 1. Technical issues to be resolved

[0006] In view of the shortcomings of the prior art, the present invention provides a comprehensive system for green building assessment and energy conservation optimization, which has the advantages of conducting a comprehensive green building energy conservation assessment by combining building materials, equipment performance, meteorological data, etc., making the assessment effect of the green building assessment and energy conservation optimization comprehensive system more comprehensive, and solves the problem that the existing assessment system ignores the energy consumption loss caused by the building itself when conducting green building assessment and energy conservation optimization.

[0007] (II) Technical solution

[0008] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a comprehensive system for green building assessment and energy-saving optimization, comprising a data acquisition module, a data analysis module and a data assessment module;

[0009] The data acquisition module includes a regional building data acquisition unit, a current building data acquisition unit, a regional equipment data acquisition unit, a current equipment data acquisition unit, and a meteorological data acquisition unit;

[0010] The regional building data acquisition unit is used to collect the energy consumption QJnh of multiple regional buildings in the region by connecting to the network, and form a regional building energy consumption data set. The regional equipment data acquisition unit is used to collect the energy consumption QBnh of multiple regional equipment in the region by connecting to the network, and form a regional equipment energy consumption data set. The current equipment data acquisition unit is used to collect multiple current equipment energy consumption data DBnh by connecting to the network, and form a current equipment energy consumption data set. The data acquisition module sends the collected data set to the data analysis module;

[0011] The current building data acquisition unit is used to connect to the transmission terminal to collect the building area Mj of the current building and send the data to the data analysis module;

[0012] The meteorological data acquisition unit collects indoor temperature Nw and outdoor temperature Ww by connecting the meteorological platform with the indoor sensor, and sends the collected data to the data analysis module;

[0013] The data analysis module calculates the average energy consumption QJpj of regional buildings according to the regional building energy consumption data set, and calculates the average energy consumption QBpj of regional equipment according to the regional equipment energy consumption data set. The data analysis module calculates the current building energy consumption DJnh according to the building area Mj, the indoor temperature Nw, and the outdoor temperature Ww. The data analysis module calculates the current total equipment energy consumption DBz according to the current equipment energy consumption data set. The data analysis module sends the average energy consumption QJpj of regional buildings, the average energy consumption QBpj of regional equipment, the current building energy consumption DJnh, and the current total equipment energy consumption DBz to the data evaluation module;

[0014] The data evaluation module evaluates the average energy consumption QJpj of regional buildings and the current building energy consumption DJnh to determine whether the building materials in the current building energy consumption DJnh affect the energy-saving effect of green buildings. The data evaluation module evaluates the average energy consumption QBpj of regional equipment and the current total equipment energy consumption DBz to determine whether the current equipment components affect the energy-saving effect of green buildings.

[0015] Preferably, the expression of the regional building energy consumption data set is: {QJnh1, QJnh2, QJnh3, . . . , QJnh n}, where QJnh1 represents the first regional building energy consumption data in the regional building energy consumption dataset, QJnh n Represents the last regional building energy consumption data in the regional building energy consumption dataset, and n represents the number of collected data.

[0016] Preferably, the expression of the regional equipment energy consumption data set is: {QBnh1, QBnh2, QBnh3, . . . , QBnh n}, where QBnh1 represents the first regional equipment energy consumption data in the regional equipment energy consumption data set, QBnh n Represents the last regional equipment energy consumption data in the regional equipment energy consumption data set, and n represents the number of collected data.

[0017] Preferably, the expression of the current device energy consumption data set is: {DBnh1, DBnh2, DBnh3, . . . , DBnh n}, where DBnh1 represents the first current device energy consumption data in the current device energy consumption data set, DBnh n Represents the last current device energy consumption data in the current device energy consumption data set, and n represents that there are n collected data.

[0018] Preferably, the calculation formula of the average energy consumption QJpj of the regional buildings is as follows:

[0019]

[0020] In the above formula, Represents the sum of the values ​​in the regional building energy consumption dataset.

[0021] Preferably, the calculation formula of the average energy consumption QBpj of the regional equipment is as follows:

[0022]

[0023] In the above formula, Indicates the sum of the values ​​in the regional equipment energy consumption dataset.

[0024] Preferably, the calculation formula of the current building energy consumption DJnh is as follows:

[0025] DJnh=Mj×(Nw-Ww)÷R

[0026] In the above formula: R represents the thermal resistance of the building material.

[0027] Preferably, the calculation formula of the current total device energy consumption DBz is as follows:

[0028]

[0029] Preferably, when DJnh>QJpj, it means that the current building energy consumption DJnh exceeds the average regional building energy consumption QJpj, and the building materials currently used in green buildings have certain energy losses in green buildings, and the current building raw materials need to be replaced.

[0030] Preferably, when DBz>QBpj, it means that the previous total equipment energy consumption DBz exceeds the regional equipment average energy consumption QBpj, and there are power equipment with certain energy loss in the current equipment, and the power equipment needs to be uniformly repaired.

[0031] Compared with the prior art, the present invention provides a comprehensive system for green building assessment and energy-saving optimization, which has the following beneficial effects:

[0032] 1. The present invention collects building energy consumption data and equipment energy consumption data in the area, so that the reference data for energy-saving optimization evaluation of the current green building is more accurate, reducing errors and misjudgments caused by data. At the same time, the building energy consumption data and equipment energy consumption data in the same area reduce the impact of environmental factors, laying a solid data foundation for the analysis, comparison and judgment of the subsequent data, making the energy-saving optimization results of the green building evaluation more comprehensive.

[0033] 2. The present invention calculates the average energy consumption QJpj of regional buildings according to the regional building energy consumption data set, calculates the average energy consumption QBpj of regional equipment according to the regional equipment energy consumption data set, calculates the current building energy consumption DJnh according to the building area Mj, the indoor temperature Nw and the outdoor temperature Ww, calculates the current total equipment energy consumption DBz according to the current equipment energy consumption data set, and then evaluates and compares the average energy consumption QJpj of regional buildings with the current building energy consumption DJnh, fully considers the energy loss caused by building materials to the green building itself, and then evaluates and compares the average energy consumption QBpj of regional equipment with the current total equipment energy consumption DBz, so that the energy loss of current power equipment in operation or design can be more clearly grasped, and the energy-saving optimization of green building evaluation can be more comprehensive. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a schematic diagram of the structural system of the present invention; DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] See also Figure 1 , a green building assessment and energy-saving optimization integrated system, including a data acquisition module, a data analysis module and a data assessment module;

[0037] The data acquisition module includes a regional building data acquisition unit, a current building data acquisition unit, a regional equipment data acquisition unit, a current equipment data acquisition unit, and a meteorological data acquisition unit;

[0038] The regional building data acquisition unit is used to collect the energy consumption QJnh of multiple regional buildings in the region by connecting to the network, and form a regional building energy consumption data set. The regional equipment data acquisition unit is used to collect the energy consumption QBnh of multiple regional equipment in the region by connecting to the network, and form a regional equipment energy consumption data set. The current equipment data acquisition unit is used to collect multiple current equipment energy consumption data DBnh by connecting to the network, and form a current equipment energy consumption data set. The data acquisition module sends the collected data set to the data analysis module;

[0039] The expression of the regional building energy consumption dataset is {QJnh1, QJnh2, QJnh3, ···, QJnh n};

[0040] The expression of regional equipment energy consumption dataset is {QBnh1, QBnh2, QBnh3, ···, QBnh n};

[0041] The expression of the current equipment energy consumption data set is {DBnh1, DBnh2, DNnh3, ···, DBnh n};

[0042] In the above expression: QJnh1 represents the first regional building energy consumption data in the regional building energy consumption data set, QJnh n Represents the last regional building energy consumption data in the regional building energy consumption dataset;

[0043] QBnh1 represents the first regional equipment energy consumption data in the regional equipment energy consumption data set. n Represents the last regional equipment energy consumption data in the regional equipment energy consumption dataset;

[0044] DBnh1 represents the first current device energy consumption data in the current device energy consumption data set, QBnh n Represents the last current device energy consumption data in the current device energy consumption data set;

[0045] n represents the number of collected data;

[0046] By collecting the building energy consumption data and equipment energy consumption data in the area, the reference data for energy-saving optimization evaluation of current green buildings is more accurate, reducing errors and misjudgments caused by data. At the same time, the building energy consumption data and equipment energy consumption data in the same area reduce the impact of environmental factors, laying a solid data foundation for the analysis, comparison and judgment of the later data, making the energy-saving optimization results of green building evaluation more comprehensive;

[0047] The current building data acquisition unit is used to connect to the transmission terminal to collect the building area Mj of the current building and send the data to the data analysis module;

[0048] The meteorological data acquisition unit collects indoor temperature Nw and outdoor temperature Ww by connecting the meteorological platform and indoor sensors, and sends the collected data to the data analysis module;

[0049] The data analysis module calculates the average energy consumption QJpj of regional buildings based on the regional building energy consumption data set. The data analysis module calculates the average energy consumption QBpj of regional equipment based on the regional equipment energy consumption data set. The data analysis module calculates the current building energy consumption DJnh based on the building area Mj, the indoor temperature Nw, and the outdoor temperature Ww. The data analysis module calculates the current total equipment energy consumption DBz based on the current equipment energy consumption data set. The data analysis module sends the average energy consumption QJpj of regional buildings, the average energy consumption QBpj of regional equipment, the current building energy consumption DJnh, and the current total equipment energy consumption DBz to the data evaluation module.

[0050] The calculation formula for the average energy consumption of regional buildings QJpj is as follows:

[0051]

[0052] In the above formula, Represents the sum of the values ​​in the regional building energy consumption dataset;

[0053] The calculation formula for the average energy consumption of regional equipment QBpj is as follows:

[0054]

[0055] In the above formula, Represents the sum of the values ​​in the regional equipment energy consumption data set;

[0056] The current calculation formula for building energy consumption DJnh is as follows:

[0057] DJnh=Mj×(Nw-Ww)÷R

[0058] In the above formula: R represents the thermal resistance of the building material;

[0059] The calculation formula for the current total equipment energy consumption DBz is as follows:

[0060]

[0061] The data evaluation module evaluates the average energy consumption of regional buildings QJpj and the current building energy consumption DJnh. When DJnh>QJpj, it means that the current building energy consumption DJnh exceeds the average energy consumption of regional buildings QJpj. The building materials used in the current green buildings have certain energy losses in green buildings, and the current building raw materials need to be replaced. The data evaluation module evaluates the average energy consumption of regional equipment QBpj and the current total equipment energy consumption DBz. When DBz>QBpj, it means that the previous total equipment energy consumption DBz exceeds the average energy consumption of regional equipment QBpj. There are power equipment with certain energy losses in the current equipment, and the power equipment needs to be uniformly repaired.

[0062] By calculating the regional building average energy consumption QJpj based on the regional building energy consumption data set, calculating the regional equipment average energy consumption QBpj based on the regional equipment energy consumption data set, calculating the current building energy consumption DJnh through the building area Mj, indoor temperature Nw, and outdoor temperature Ww, and calculating the current total equipment energy consumption DBz through the current equipment energy consumption data set, and then evaluating and comparing the regional building average energy consumption QJpj and the current building energy consumption DJnh, fully considering the energy loss caused by building materials to the green building itself, and then evaluating and comparing the regional equipment average energy consumption QBpj and the current total equipment energy consumption DBz, the energy loss situation of the current power equipment in operation or design can be more clearly grasped, making the green building assessment and energy-saving optimization more comprehensive.

[0063] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A green building assessment and energy-saving optimization integrated system, characterized by: It includes data acquisition module, data analysis module and data evaluation module; The data acquisition module includes a regional building data acquisition unit, a current building data acquisition unit, a regional equipment data acquisition unit, a current equipment data acquisition unit, and a meteorological data acquisition unit; The regional building data acquisition unit is used to collect the energy consumption QJnh of multiple regional buildings in the region by connecting to the network, and form a regional building energy consumption data set. The regional equipment data acquisition unit is used to collect the energy consumption QBnh of multiple regional equipment in the region by connecting to the network, and form a regional equipment energy consumption data set. The current equipment data acquisition unit is used to collect multiple current equipment energy consumption data DBnh by connecting to the network, and form a current equipment energy consumption data set. The data acquisition module sends the collected data set to the data analysis module; The current building data acquisition unit is used to connect to the transmission terminal to collect the building area Mj of the current building and send the data to the data analysis module; The meteorological data acquisition unit collects indoor temperature Nw and outdoor temperature Ww by connecting the meteorological platform with the indoor sensor, and sends the collected data to the data analysis module; The data analysis module calculates the average energy consumption QJpj of regional buildings according to the regional building energy consumption data set, and calculates the average energy consumption QBpj of regional equipment according to the regional equipment energy consumption data set. The data analysis module calculates the current building energy consumption DJnh according to the building area Mj, the indoor temperature Nw, and the outdoor temperature Ww. The data analysis module calculates the current total equipment energy consumption DBz according to the current equipment energy consumption data set. The data analysis module sends the average energy consumption QJpj of regional buildings, the average energy consumption QBpj of regional equipment, the current building energy consumption DJnh, and the current total equipment energy consumption DBz to the data evaluation module; The data evaluation module evaluates the average energy consumption QJpj of regional buildings and the current building energy consumption DJnh to determine whether the building materials in the current building energy consumption DJnh affect the energy-saving effect of green buildings. The data evaluation module evaluates the average energy consumption QBpj of regional equipment and the current total equipment energy consumption DBz to determine whether the current equipment components affect the energy-saving effect of green buildings.

2. The green building assessment and energy-saving optimization integrated system according to claim 1 is characterized by: The expression of the regional building energy consumption dataset is {QJnh1, QJnh2, QJnh3, . . . , QJnh n }, where QJnh1 represents the first regional building energy consumption data in the regional building energy consumption dataset, QJnh n Represents the last regional building energy consumption data in the regional building energy consumption dataset, and n represents the number of collected data.

3. The green building assessment and energy-saving optimization integrated system according to claim 1 is characterized by: The expression of the regional equipment energy consumption data set is {QBnh1, QBnh2, QBnh3, . . . , QBnh n }, where QBnh1 represents the first regional equipment energy consumption data in the regional equipment energy consumption data set, QBnh n Represents the last regional equipment energy consumption data in the regional equipment energy consumption data set, and n represents the number of collected data.

4. The green building assessment and energy-saving optimization integrated system according to claim 1 is characterized by: The expression of the current equipment energy consumption data set is {OBnh1, DBnh2, DBnh3, . . . , DBnh n }, where DBnh1 represents the first current device energy consumption data in the current device energy consumption data set, DBnh n Represents the last current device energy consumption data in the current device energy consumption data set, and n represents that there are n collected data.

5. The green building assessment and energy-saving optimization integrated system according to claim 2 is characterized by: The calculation formula for the average energy consumption QJpj of the regional buildings is as follows: In the above formula, Represents the sum of the values ​​in the regional building energy consumption dataset.

6. The green building assessment and energy-saving optimization integrated system according to claim 3 is characterized by: The calculation formula of the average energy consumption QBpj of the regional equipment is as follows: In the above formula, Indicates the sum of the values ​​in the regional equipment energy consumption dataset.

7. The green building assessment and energy-saving optimization integrated system according to claim 1 is characterized by: The calculation formula of the current building energy consumption DJnh is as follows: DJnh=Mj×(Nw-Ww)÷R In the above formula: R represents the thermal resistance of the building material.

8. The green building assessment and energy-saving optimization integrated system according to claim 4 is characterized by: The calculation formula of the current total equipment energy consumption DBz is as follows:

9. The green building assessment and energy-saving optimization integrated system according to claim 7 is characterized by: When DJnh>QJpj, it means that the current building energy consumption DJnh exceeds the average regional building energy consumption QJpj. The building materials currently used in green buildings have certain energy losses, and the current building raw materials need to be replaced.

10. The green building assessment and energy-saving optimization integrated system according to claim 8, characterized in that: When DBz>QBpj, it means that the total equipment energy consumption DBz exceeds the average equipment energy consumption QBpj in the region, and there are power equipment with certain energy loss in the current equipment, which needs to be uniformly inspected and repaired.

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