Integrated green building evaluation and energy-saving optimization system

Abstract

An integrated green building evaluation and energy-saving optimization system, comprising 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 device data acquisition unit, a current device data acquisition unit, and a meteorological data acquisition unit. The average energy consumption of regional buildings is computed by means of a regional building energy consumption data set. The average energy consumption of regional devices is computed on the basis of a regional device energy consumption data set. A current building energy consumption is computed by means of a building area and an outdoor temperature. A total current device energy consumption is computed by means of a current device energy consumption data set. Then, the average energy consumption of the regional buildings and the current building energy consumption are evaluated and compared. By fully considering the energy consumption caused by building materials in green buildings, the average energy consumption of regional devices and the total current device energy consumption can be evaluated and compared, making energy-saving optimization and evaluation of green buildings more comprehensive.

Description

Green building evaluation energy saving optimization comprehensive system TECHNICAL FIELD

[0001] The present application relates to the technical field of green building, specifically a green building evaluation energy saving optimization comprehensive system. BACKGROUND

[0002] Green building refers to a building practice that considers energy saving, environmental protection and sustainability throughout the design, construction, operation and demolition process. Its goal is to reduce negative impacts on the environment and resources while providing a healthy and comfortable living and working space. Green building emphasizes harmony with nature and is not just a building technology, but a philosophy of sustainable development. In today's rapidly globalizing and urbanizing world, green building is becoming mainstream as an effective means to address resource depletion, environmental degradation and ecological balance.

[0003] Green building evaluation energy saving optimization comprehensive system is a comprehensive evaluation and optimization method aimed at improving building energy efficiency, reducing environmental impact, saving resources and improving user comfort. Through systematic evaluation and optimization, green building goals can be effectively achieved, promoting sustainable development in the construction industry. With technological advancements and increased environmental awareness, green building evaluation and optimization will continue to evolve, providing more scientific and efficient solutions for future green buildings.

[0004] The existing evaluation system generally ignores the energy consumption loss caused by the building itself when evaluating and optimizing green building energy saving, resulting in incomplete evaluation results. It is difficult to discover the energy consumption of building materials, leading to energy loss. SUMMARY

[0005] (I) Technical problems solved

[0006] To address the shortcomings of the prior art, the present application provides a green building evaluation energy saving optimization comprehensive system that combines building materials, equipment performance, meteorological data, etc. to comprehensively evaluate green building energy saving, making the evaluation results more comprehensive. The system solves the problem of ignoring energy consumption loss caused by the building itself when evaluating and optimizing green building energy saving.

[0007] (II) Technical solutions

[0008] To achieve the above purpose, the present application provides the following technical solutions: a green building evaluation energy saving optimization comprehensive system comprising a data acquisition module, a data analysis module and a data evaluation module.

[0009] The data collection module comprises a regional building data collection unit, a current building data collection unit, a regional equipment data collection unit, a current equipment data collection unit, and a meteorological data collection unit.

[0010] The regional building data collection unit collects regional building energy consumptions QJnh in a region through a connection network and forms a regional building energy consumption dataset. The regional equipment data collection unit collects regional equipment energy consumptions QBnh in the region through the connection network and forms a regional equipment energy consumption dataset. The current equipment data collection unit collects current equipment energy consumption data DBnh through the connection network and forms a current equipment energy consumption dataset. The data collection module sends the collected datasets to the data analysis module.

[0011] The current building data collection unit is connected to a transmission terminal to collect a building area Mj of a current building and sends the data to the data analysis module.

[0012] The meteorological data collection unit is connected to a meteorological platform and an indoor sensor to collect indoor temperature Nw and outdoor temperature Ww and sends the collected data to the data analysis module.

[0013] The data analysis module calculates a regional building average energy consumption QJpj according to the regional building energy consumption dataset. The data analysis module calculates a regional equipment average energy consumption QBpj according to the regional equipment energy consumption dataset. The data analysis module calculates a current building energy consumption DJnh according to the building area Mj and the indoor temperature Nw and the outdoor temperature Ww. The data analysis module calculates a current total equipment energy consumption DBz according to the current equipment energy consumption dataset. The data analysis module sends the regional building average energy consumption QJpj, the regional equipment average energy consumption QBpj, 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 regional building average energy consumption QJpj and the current building energy consumption DJnh to determine whether the building materials in the current building energy consumption DJnh affect the green building energy-saving effect. The data evaluation module evaluates the regional equipment average energy consumption QBpj and the current total equipment energy consumption DBz to determine whether the current equipment components affect the green building energy-saving effect.

[0015] Preferably, the expression of the regional building energy consumption dataset is: {QJnh1, QJnh2, QJnh3, …, QJnhn}, wherein QJnh1 represents the first regional building energy consumption data in the regional building energy consumption dataset, QJnhn represents the last regional building energy consumption data in the regional building energy consumption dataset, and n represents the number of collected data. n n ​​

[0016] Preferably, the expression of the regional device energy consumption data set is: {QBnh1, QBnh2, QBnh3, …, QBnh n}, wherein QBnh1 represents the first regional device energy consumption data in the regional device energy consumption data set, QBnh n represents the last regional device energy consumption data in the regional device energy consumption data set, and n represents that there are n data collected.

[0017] Preferably, the expression of the current device energy consumption data set is: {DBnh1, DBnh2, DBnh3, …, DBnh n}, wherein 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 data collected.

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

[0019] In the above formula, represents the sum of the values in the regional building energy consumption data set.

[0020] Preferably, the calculation formula of the regional device average energy consumption QBpj is as follows:

[0021] In the above formula, represents the sum of the values in the regional device energy consumption data set.

[0022] Preferably, the calculation formula of the current building energy consumption DJnh is as follows: DJnh = Mj × (Nw-Ww) ÷ R

[0023] In the above formula, R represents the thermal resistance of the building material.

[0024] Preferably, the calculation formula of the current total device energy consumption DBz is as follows:

[0025] Preferably, when DJnh > QJpj, it indicates that the current building energy consumption DJnh exceeds the regional building average energy consumption QJpj, and the building material used in the current green building has certain energy loss in the green building, and the building raw material needs to be replaced.

[0026] Preferably, when DBz > QBpj, it indicates that the current total device energy consumption DBz exceeds the regional device average energy consumption QBpj, and there is certain energy loss in the power device in the current device, and the power device needs to be uniformly overhauled.

[0027] Compared with the prior art, the green building evaluation energy-saving optimization comprehensive system has the following beneficial effects:

[0028] 1、The building energy consumption data and the equipment energy consumption data in the region are collected, so that the data for reference when the current green building is evaluated for energy-saving optimization is more accurate, the errors and misjudgments caused by the data are reduced, and the building energy consumption data and the equipment energy consumption data in the same region reduce the influence of environmental factors, lay a solid data foundation for the analysis, comparison and judgment of the data in the later period, and make the green building evaluation energy-saving optimization result more comprehensive.

[0029] 2、The average building energy consumption QJpj of the region is calculated according to the regional building energy consumption data set, the average equipment energy consumption QBpj of the region is calculated according to the regional equipment energy consumption data set, the current building energy consumption DJnh is calculated through the building area Mj and the indoor temperature Nw and the outdoor temperature Ww, the current total equipment energy consumption DBz is calculated through the current equipment energy consumption data set, then the average building energy consumption QJpj of the region is compared with the current building energy consumption DJnh, the energy loss of the building material to the green building itself is fully considered, and then the average equipment energy consumption QBpj of the region and the current total equipment energy consumption DBz are compared, so that the energy loss of the current power equipment in the operation or design aspect can be further clearly mastered, and the green building evaluation energy-saving optimization is more comprehensive. BRIEF DESCRIPTION OF DRAWINGS

[0030] Fig. 1 is a structural system schematic diagram of the present application; DETAILED DESCRIPTION

[0031] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0032] Please refer to Fig. 1, a green building evaluation energy-saving optimization comprehensive system, comprising a data acquisition module, a data analysis module and a data evaluation module;

[0033] 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.

[0034] The regional building data acquisition unit is connected to a network for collecting a plurality of regional building energy consumptions QJnh in the region and forming a regional building energy consumption dataset, the regional equipment data acquisition unit is connected to a network for collecting a plurality of regional equipment energy consumptions QBnh in the region and forming a regional equipment energy consumption dataset, the current equipment data acquisition unit is connected to a network for collecting a plurality of current equipment energy consumption data DBnh and forming a current equipment energy consumption dataset, and the data acquisition module sends the collected datasets to the data analysis module;

[0035] The expression of the regional building energy consumption dataset is {QJnh1, QJnh2, QJnh3, …, QJnhn}; n};

[0036] The expression of the regional equipment energy consumption dataset is {QBnh1, QBnh2, QBnh3, …, QBnhn}; n};

[0037] The expression of the current equipment energy consumption dataset is {DBnh1, DBnh2, DBnh3, …, DBnhn}; n};

[0038] In the above expressions, QJnh1 represents the first regional building energy consumption data in the regional building energy consumption dataset, QJnhn represents the last regional building energy consumption data in the regional building energy consumption dataset; n

[0039] QBnh1 represents the first regional equipment energy consumption data in the regional equipment energy consumption dataset, QBnhn represents the last regional equipment energy consumption data in the regional equipment energy consumption dataset; n

[0040] DBnh1 represents the first current equipment energy consumption data in the current equipment energy consumption dataset, DBnhn represents the last current equipment energy consumption data in the current equipment energy consumption dataset; n

[0041] n represents that there are n collected data;

[0042] By collecting the building energy consumption data and the equipment energy consumption data in the region, the data for reference when the current green building is evaluated for energy saving optimization is more accurate, the errors and misjudgments caused by the data are reduced, the influence of environmental factors is reduced by the building energy consumption data and the equipment energy consumption data in the same region, a solid data foundation is laid for the analysis, comparison and judgment of the later data, and the green building evaluation energy saving optimization result is more comprehensive;

[0043] ​​​The current building data acquisition unit is used to connect the transmission terminal to collect the building area Mj of the current building, and send the data to the data analysis module;

[0044] The weather data acquisition unit collects the indoor temperature Nw and the outdoor temperature Ww by connecting the weather platform and the indoor sensor, and sends the collected data to the data analysis module;

[0045] The data analysis module calculates the average energy consumption QJpj of the regional building according to the regional building energy consumption data set, calculates the average energy consumption QBpj of the regional equipment according to the regional equipment energy consumption data set, calculates the current building energy consumption DJnh according to the building area Mj and 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 sends the average energy consumption QJpj of the regional building, the average energy consumption QBpj of the regional equipment, the current building energy consumption DJnh and the current total equipment energy consumption DBz to the data evaluation module.

[0046] The calculation formula of the average energy consumption QJpj of the regional building is as follows:

[0047] In the above formula, Indicates the sum of the values in the regional building energy consumption data set;

[0048] The calculation formula of the average energy consumption QBpj of the regional equipment is as follows:

[0049] In the above formula, Indicates the sum of the values in the regional equipment energy consumption data set;

[0050] The calculation formula of the current building energy consumption DJnh is as follows: DJnh=Mj×(Nw-Ww)÷R

[0051] In the above formula, R represents the thermal resistance of the building material;

[0052] The calculation formula of the current total equipment energy consumption DBz is as follows:

[0053] The data evaluation module evaluates the regional building average energy consumption QJpj and the current building energy consumption DJnh, when DJnh>QJpj, it indicates that the current building energy consumption DJnh exceeds the regional building average energy consumption QJpj, the building materials used in the current green building have certain energy loss in the green building, and the current building raw materials need to be replaced, the data evaluation module evaluates the regional equipment average energy consumption QBpj and the current total equipment energy consumption DBz, when DBz>QBpj, it indicates that the current total equipment energy consumption DBz exceeds the regional equipment average energy consumption QBpj, there are certain energy loss power equipment in the current equipment, and the power equipment needs to be uniformly overhauled;

[0054] By calculating the regional building average energy consumption QJpj according to the regional building energy consumption dataset, calculating the regional equipment average energy consumption QBpj according to the regional equipment energy consumption dataset, calculating the current building energy consumption DJnh through the building area Mj and the indoor temperature Nw and the outdoor temperature Ww, calculating the current total equipment energy consumption DBz through the current equipment energy consumption dataset, then evaluating and comparing the regional building average energy consumption QJpj and the current building energy consumption DJnh, fully considering the energy loss of 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, so that the energy loss of the current power equipment in the operation or design aspect can be further clearly mastered, and the green building evaluation energy saving optimization is more comprehensive.

[0055] Although the embodiments of the present application have been shown and described, it can be understood by those skilled in the art that various changes, modifications, replacements and variations can be made to the embodiments without departing from the principles and spirits of the present application, the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. A green building assessment energy saving optimization integrated system, characterized in that: The data collection module, the data analysis module, and the data evaluation module are included. The data collection module includes a regional building data collection unit, a current building data collection unit, a regional equipment data collection unit, a current equipment data collection unit, and a meteorological data collection unit. The regional building data collection unit collects regional building energy consumption QJnh through a connection network and forms a regional building energy consumption dataset. The current building data collection unit is connected to a transmission terminal to collect the building area Mj of the current building and sends the data to the data analysis module. The meteorological data collection unit is connected to a meteorological platform and an indoor sensor to collect indoor temperature Nw and outdoor temperature Ww and sends the collected data to the data analysis module. The data analysis module calculates the regional building average energy consumption QJpj based on the regional building energy consumption dataset. The data analysis module calculates the regional equipment average energy consumption QBpj based on the regional equipment energy consumption dataset.

2. The green building assessment energy optimization integrated system of claim 1, wherein: The expression of the regional building energy consumption dataset is {QJnh1, QJnh2, QJnh3, …, QJnhn}, wherein QJnh1 represents the first regional building energy consumption data in the regional building energy consumption dataset, QJnhn represents the last regional building energy consumption data in the regional building energy consumption dataset, and n represents that the collected data are n. n} wherein QJnh1 represents the first regional building energy consumption data in the regional building energy consumption dataset, QJnhn represents the last regional building energy consumption data in the regional building energy consumption dataset, and n represents that the collected data are n. n} wherein QJnh1 represents the first regional building energy consumption data in the regional building energy consumption dataset, QJnhn represents the last regional building energy consumption data in the regional building energy consumption dataset, and n represents that the collected data are n.

3. The green building assessment energy optimization integrated system of claim 1, wherein: The expression of the regional device energy consumption dataset is {QBnh1, QBnh2, QBnh3, …, QBnh n}, wherein QBnh1 represents the first regional device energy consumption data in the regional device energy consumption dataset, QBnh n represents the last regional device energy consumption data in the regional device energy consumption dataset, and n represents that there are n data collected.

4. The green building assessment energy optimization integrated system of claim 1, wherein: The expression for the current device energy consumption dataset is {DBnh1, DBnh2, DBnh3, ..., DBnh}. n }, where DBnh1 represents the first current device energy consumption data in the current device energy consumption dataset, DBnh n This represents the last current device energy consumption data in the current device energy consumption dataset, and n represents the number of data points collected.

5. The green building assessment energy optimization integrated system of claim 2, wherein: The calculation formula of the regional building average energy consumption QJpj is as follows: In the above formulae, The data analysis module calculates the current building energy consumption DJnh based on the building area Mj and the indoor temperature Nw and the outdoor temperature Ww.

6. The green building assessment energy optimization integrated system of claim 3, wherein: The calculation formula of the average energy consumption QBpj of the area device is as follows: In the above formulae, The data analysis module calculates the current total equipment energy consumption DBz based on the current equipment energy consumption dataset.

7. The green building assessment energy optimization integrated system of claim 1, wherein: The data evaluation module evaluates the regional building average energy consumption QJpj 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 regional equipment average energy consumption QBpj and the current total equipment energy consumption DBz to determine whether the current equipment components affect the energy-saving effect of green buildings.

8. The green building assessment energy optimization integrated system of claim 4, wherein: The calculation formula of the current total device energy consumption DBz is as follows:

9. The green building assessment energy optimization integrated system of claim 7, wherein: The sum of the values in the regional building energy consumption dataset.

10. The green building assessment energy optimization integrated system of claim 8, wherein: The sum of the values in the regional equipment energy consumption dataset. 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 materials. When DJnh > QJpj, it indicates that the current building energy consumption DJnh exceeds the regional building average energy consumption QJpj, and the building materials used in the current green building have certain energy consumption in the green building, and the building raw materials need to be replaced. When DBz > QBpj, it indicates that the current total equipment energy consumption DBz exceeds the regional equipment average energy consumption QBpj, and there are certain energy consumption power equipment in the current equipment, and the power equipment needs to be uniformly overhauled.

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