Park zero-carbon detection management planning method

Abstract

The invention discloses a park zero carbon detection management planning method, which belongs to the technical field of carbon emission management and comprises the steps of park data implementation and acquisition, park total carbon emission analysis, carbon reduction measure formulation and implementation, carbon reduction measure adjustment and equipment maintenance, park carbon reduction measure evaluation, park carbon reduction efficiency scoring and the like. The real-time data acquisition unit covers key information of carbon emission, carbon reduction equipment use cost, renewable energy quantity and abnormal carbon emission condition processing duration, direct and indirect carbon emission source emission data are acquired, the carbon emission intensity of each source is calculated, and accurate total carbon emission analysis is realized; a constraint and scoring mechanism for the implementation effect of the carbon reduction measures is provided, whether the carbon reduction measures meet requirements can be accurately judged according to preset parameters, the optimal carbon reduction strategy is selected, and the efficiency and effect of carbon reduction measure selection are remarkably improved; by continuously optimizing and adjusting carbon reduction measures and regularly maintaining related equipment, the overall energy efficiency of the park is improved, and carbon emission is reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of carbon emission management, and particularly relates to a method for zero-carbon detection management planning in a park. Background Art

[0002] With the intensification of global climate change problems and the proposal of China's "dual carbon" goal, industrial parks, as an important carrier of the national economy and a major source of carbon emissions, their low-carbon transformation has become a key link in the national strategy. The carbon emissions of industrial parks account for more than 30% of the national total. Their energy structure is mainly based on fossil energy, and there are problems such as a heavy industrial structure, low energy utilization efficiency, and extensive management of carbon emission data. Therefore, improving overall energy efficiency, reducing carbon emissions, optimizing the energy structure, and promoting the construction of "zero-carbon" parks will become the key points of the work to implement energy conservation and emission reduction and achieve carbon peak and carbon neutrality. However, in the process of carbon emission monitoring and management in traditional industrial parks, due to the fact that most parks rely on manual statistics or single-dimensional energy consumption monitoring means, the carbon emission data collection coverage is incomplete, and at the same time, there is a lack of scientific evaluation of the carbon reduction efficiency of different carbon reduction measures, resulting in the inefficiency of the selection of carbon reduction measures. Summary of the Invention

[0003] Technical problems to be solved: Aiming at the technical problems existing in the background art, the present invention provides a method for zero-carbon detection management planning in a park, which improves the overall energy efficiency of the park, reduces carbon emissions, and promotes scientific decision-making in the planning and construction of zero-carbon parks.

[0004] Technical solution: A method for zero-carbon detection management planning in a park according to the present invention, the planning method includes the following steps: Step 1: Implement data collection in the park: Real-time collect information data such as carbon emissions, the use cost of carbon reduction facilities, the amount of renewable energy, and the processing duration of abnormal carbon emission situations generated during the zero-carbon monitoring and management process in the park through a data collection unit; Step 2: Analyze the total carbon emissions in the park: Obtain the emission information data of direct and indirect carbon emission sources in the park, calculate the carbon emission intensity of each source in combination with the emission factor library, and analyze the total carbon emissions in the park through a total carbon emission analysis unit; Step 3: Formulate and implement carbon reduction measures, as well as adjust carbon reduction measures and maintain equipment; Step 4: Evaluate the carbon reduction measures in the park: Obtain the information data of carbon emissions and the use cost of carbon reduction equipment in the park, and analyze through a carbon reduction measure constraint unit to obtain whether the implemented carbon reduction measures in the park meet the expected requirements; Step 5: Scoring of the carbon reduction efficiency in the park: By obtaining the information data on the amount of renewable energy in the park and the processing duration of abnormal carbon emissions, through the analysis of the carbon reduction efficiency scoring unit, the comprehensive score of this carbon reduction measure after the park implements the carbon reduction measure is obtained, and the scores obtained by different carbon reduction measures are compared.

[0005] Preferably, in step 1, the data acquisition unit includes a carbon amount acquisition module, a cost acquisition module, an energy acquisition module, and a processing duration acquisition module; The carbon amount acquisition module is used to collect the emission information data of direct and indirect carbon emission sources in the park in real time; The cost acquisition module is used to collect the usage cost information data of carbon reduction equipment in real time; The energy acquisition module is used to collect the total amount of renewable energy information data in the park after implementing the carbon reduction measure in real time; The processing duration acquisition module is used to collect the processing duration information data when abnormal carbon emissions occur in the park after implementing the carbon reduction measure in real time.

[0006] Preferably, in step 2, during the analysis of the total carbon emissions in the park, by obtaining the emission information data of direct and indirect carbon emission sources in the park and performing calculation and analysis, the total carbon emissions in the park are obtained: ; In the formula: total is the total carbon emissions in the park; N is the total number of direct carbon emission sources in the park; E i is the monthly emission of the i-th direct carbon emission source; F i is the carbon emission factor corresponding to the direct carbon emission source; M is the total number of indirect carbon emission sources in the park; e j is the monthly emission of the j-th indirect emission source; f j is the carbon emission factor of the j-th indirect emission source.

[0007] Preferably, in step 3, the formulation and implementation of carbon reduction measures are carried out by comprehensively considering policies and regulations, industry standards, and the actual needs of the park, formulating multiple sets of carbon reduction measures, and implementing specific carbon reduction measures.

[0008] Preferably, in step 3, the adjustment of carbon reduction measures and equipment maintenance are to adjust the carbon reduction measures being implemented, and steps 4 to 5 are executed to re-compare the scores of the adjusted carbon reduction measures, and at the same time, the carbon reduction equipment involved in the implementation of the carbon reduction measures is regularly maintained.

[0009] Preferably, in step 4, during the constraint of the carbon reduction measures in the park, by obtaining the information data on the carbon emissions in the park and the usage cost of carbon reduction equipment and performing calculation and analysis, the constraint index of the carbon reduction measures in the park is obtained: ; where: lim is the constraint index of the carbon reduction measures; BE total is the monthly emission before taking carbon reduction measures; AE total is the actual monthly emission after implementing the carbon reduction measures; BE total - AE total is the monthly carbon reduction amount after implementing the carbon reduction measures; L is the number of carbon reduction equipment used for implementing the carbon reduction measures; C g is the monthly usage cost of the g-th carbon reduction equipment when implementing the carbon reduction measures; S is the floor area of the park; δ is the threshold parameter of the preset carbon reduction effect; β is the conversion coefficient for presetting and constraining the carbon reduction measures; μ is the standard threshold of the preset carbon reduction measures.

[0010] Preferably, in step 4, if lim ≤ μ, it indicates that this carbon reduction measure does not meet the implementation requirements and this carbon reduction measure cannot be continued.

[0011] Preferably, in step 5, during the process of scoring the carbon reduction efficiency of the park, by obtaining the information data of the renewable energy amount in the park and the processing duration of abnormal carbon emission situations, and performing calculation and analysis, the carbon emission efficiency score of the park is obtained: ; where: S k is the carbon emission efficiency score; W k is the monthly production output value after implementing the k-th carbon reduction measure in the park; total k is the total monthly carbon emission after implementing the k-th carbon reduction measure in the park; RE k is the total monthly renewable energy amount after implementing the -th carbon reduction measure in the park; tec k is the total monthly energy consumption after implementing the -th carbon reduction measure in the park; A is the number of abnormal carbon emission behaviors in the park; long e is the standard processing duration when abnormal carbon emissions occur; long a is the processing duration when abnormal carbon emissions occur for the a-th time after implementing the carbon reduction measures in the park; lim is the constraint index of the carbon reduction measures; α is the conversion coefficient of the preset carbon emission efficiency score.

[0012] Compared with the prior art, the present invention has at least the following beneficial effects: 1. The present invention covers key information such as carbon emissions, carbon reduction equipment usage costs, renewable energy amounts, and abnormal carbon emission situation processing durations through a real-time data acquisition unit, and uses a distributed sensor network and blockchain technology for encrypted storage to ensure the authenticity and security of the data; 2. The present invention realizes accurate analysis of the total carbon emission by obtaining the emission data of direct and indirect carbon emission sources and calculating the carbon emission intensity of each source in combination with the IPCC standard and the local correction model. 3. The present invention also has a constraint and scoring mechanism for the implementation effect of carbon reduction measures, which can accurately judge whether the carbon reduction measures meet the requirements according to the preset parameters and quantitatively score their comprehensive benefits, enabling the park managers to make scientific decisions, select the optimal carbon reduction strategies, and significantly improve the efficiency and effect of selecting carbon reduction measures. 4. By continuously optimizing and adjusting the carbon reduction measures and regularly maintaining the relevant equipment, the present invention not only improves the overall energy efficiency of the park, reduces carbon emissions, but also promotes scientific decision-making in the planning and construction of zero-carbon parks. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It is a schematic flow chart of the zero-carbon monitoring and management system for the park of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0014] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be described clearly and completely below. Apparently, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the described embodiments of the present invention fall within the scope of protection of the present invention. Figure 1

[0015] Figure 1 As shown, a method for planning zero-carbon detection and management in a park according to the present invention, the planning method includes the following steps: (1) Implementing data collection in the park: The data collection unit is used to collect in real time the carbon emission amount, the use cost of carbon reduction facilities, the total amount of renewable energy, and the processing duration information data of abnormal carbon emission during the zero-carbon monitoring and management process in the park. Among them, the data collection unit includes a carbon amount collection module, a cost collection module, an energy collection module, and a processing duration collection module; the carbon amount collection module is used to collect in real time the emission information data of direct and indirect carbon emission sources in the park; the cost collection module is used to collect in real time the use cost information data of carbon reduction equipment; the energy collection module is used to collect in real time the total amount information data of renewable energy after the park implements carbon reduction measures; the processing duration collection module is used to collect in real time the processing duration information data when abnormal carbon emission occurs after the park implements carbon reduction measures. The park uses a distributed sensor network to cover energy consumption nodes (such as electricity meters, gas meters, traffic flow monitors) and production equipment terminals, and uses blockchain technology to encrypt and store park-related information data to achieve effective supervision.

[0016] (2) Analysis of the total carbon emissions in the park: By obtaining the emission information data of direct and indirect carbon emission sources in the park, and combining with the emission factor library (such as IPCC standards and local correction models), calculate the carbon emission intensity of each source. Through the total carbon emission analysis unit, analyze and obtain the total carbon emissions in the park, providing data information for subsequent data analysis. In the process of analyzing the total carbon emissions in the park, obtain the emission information data of direct and indirect carbon emission sources in the park, and calculate and analyze to obtain the total carbon emissions in the park: ; where: total is the total carbon emissions in the park; N is the number of total direct carbon emission sources in the park (such as carbon emissions generated by burning fossil fuels such as coal, oil, and natural gas by equipment such as boilers, furnaces, and turbines in the park, and carbon emissions in the industrial production process); E i is the monthly emission of the i-th direct carbon emission source; F i is the carbon emission factor corresponding to the direct carbon emission source; M is the number of total indirect carbon emission sources in the park (such as logistics transportation, employees' private car commuting); e j is the monthly emission of the j-th indirect emission source; f j is the carbon emission factor of the j-th indirect emission source. During the data collection process, the number of total direct carbon emission sources N = 15 in the park, and the number of total indirect carbon emission sources M = 45 in the park, , , so .

[0017] (3) Formulating and implementing carbon reduction measures, as well as adjusting carbon reduction measures and equipment maintenance; Formulating and implementing carbon reduction measures is to formulate multiple groups of carbon reduction measures by comprehensively considering policies and regulations, industry standards, and the actual needs of the park, and implement specific carbon reduction measures. Adjusting carbon reduction measures and equipment maintenance is to adjust the carbon reduction measures being implemented, execute the evaluation and scoring steps of the park's carbon reduction measures, then score and compare the adjusted carbon reduction measures again, and at the same time conduct regular maintenance on the carbon reduction equipment involved in the implementation process of the carbon reduction measures.

[0018] (4) Evaluation of the park's carbon reduction measures: By obtaining the information data of the park's carbon emissions and the use cost of carbon reduction equipment, through the analysis of the carbon reduction measure constraint unit, determine whether the implemented carbon reduction measures in the park meet the expected requirements. In the process of constraining the park's carbon reduction measures, obtain the information data of the park's carbon emissions and the use cost of carbon reduction equipment, and calculate and analyze to obtain the constraint index of the park's carbon reduction measures: ; where: lim is the constraint index of the carbon reduction measures; BE total is the monthly emission without taking carbon reduction measures; AEtotal The actual monthly emissions after implementing carbon reduction measures; BE total -AE total The monthly carbon reduction amount after implementing carbon reduction measures; L is the number of carbon reduction devices used for implementing carbon reduction measures; C g is the monthly usage cost of the g-th carbon reduction device when implementing carbon reduction measures; S is the floor area of the park; δ is the threshold parameter of the preset carbon reduction effect; β is the conversion coefficient for presetting and restricting carbon reduction measures; μ is the standard threshold of the preset carbon reduction measures. If lim ≤ μ, it indicates that this carbon reduction measure does not meet the implementation requirements and this carbon reduction measure cannot be continued; if , it indicates that this carbon reduction measure meets the implementation requirements and the subsequent implementation and scoring steps can be continued.

[0019] In a specific embodiment, during the data collection process, the floor area of the park S = 2, and the monthly emissions BE total = 15013 before implementing carbon reduction measures, and the actual monthly emissions AE total = 11885 after implementing carbon reduction measures, the conversion coefficient β for presetting and restricting carbon reduction measures = 1000, the standard threshold μ of the preset carbon reduction measures = 5, the number of carbon reduction devices used for implementing carbon reduction measures L = 30, , the threshold parameter δ of the preset carbon reduction effect = 0.2, , , so, , it indicates that this carbon reduction measure meets the implementation requirements and can be continued for implementation and scoring.

[0020] (5) Scoring of the carbon reduction efficiency of the park: By obtaining the data on the amount of renewable energy in the park and the processing duration information of abnormal carbon emissions, through the analysis of the carbon reduction efficiency scoring unit, the comprehensive score of this carbon reduction measure after the park implements the carbon reduction measure is obtained, and the scores obtained by different carbon reduction measures are compared. The higher the score, the better the effect of this carbon reduction measure on the park's realization of zero carbon.

[0021] During the process of scoring the carbon reduction efficiency of the park, by obtaining the data on the amount of renewable energy in the park and the processing duration information of abnormal carbon emissions, and performing calculation and analysis, the carbon emission efficiency score of the park is obtained: ; In the formula: S k is the carbon emission efficiency score; W k is the monthly production output value of the park after implementing the k-th carbon reduction measure; total k is the total monthly carbon emissions of the park after implementing the k-th carbon reduction measure; RE k is the total monthly renewable energy of the park after implementing the th carbon reduction measure; teck The total monthly energy consumption after the th carbon reduction measure is implemented in the park; A is the number of abnormal carbon emission behaviors in the park; long e is the preset standard processing duration when abnormal carbon emissions occur; long a is the processing duration when the [[ID=a]]th abnormal carbon emission occurs after the carbon reduction measure is implemented in the park; lim is the constraint index of the carbon reduction measure; α is the conversion coefficient of the preset carbon emission efficiency score. It should be noted that abnormal carbon emission behavior refers to carbon emission behavior that exceeds the preset threshold or normal range in the park. For example, the carbon emissions of a certain device or area suddenly surge (such as sensor failure, equipment leakage), or multiple emission sources are abnormal simultaneously in a short period of time (such as system failure resulting in batch data anomalies).

[0022] In a specific embodiment, during the data collection process, the monthly production output value W after the k th carbon reduction measure is implemented in the park is 10, the total monthly carbon emissions total after the k th carbon reduction measure is implemented in the park is 11885, the total monthly renewable energy RE after the k th carbon reduction measure is implemented in the park is 0.15, the total monthly energy consumption after the th carbon reduction measure is implemented in the park, the number of abnormal carbon emission behaviors in the park , the preset standard processing duration when abnormal carbon emissions occur, the conversion coefficient of the preset carbon emission efficiency score , the constraint index of the carbon reduction measure , so, then multiple carbon reduction measures that meet the implementation requirements are experimentally implemented for one month, and the carbon emission efficiency score is obtained: (by introducing optoelectronic equipment) , (by introducing wind power equipment) , (replacing low-carbon production equipment, and at the same time, through intelligent microgrids, energy cascade utilization, etc., recycling and reusing the waste heat, waste pressure, and waste energy generated during the production process) , and then the scores are compared: , through the comparison results, it shows that the third carbon reduction measure has the highest score and the best effect on the park's zero-carbon process, and this carbon reduction measure can be implemented in the long term.

[0023] (6) Adjust the carbon reduction measures that are being implemented, and re-evaluate and compare the adjusted carbon reduction measures, so as to continuously optimize the carbon reduction measures. At the same time, regularly maintain the carbon reduction equipment involved in the implementation of the carbon reduction measures.

[0024] The present invention covers key information such as carbon emissions, the usage cost of carbon reduction equipment, the amount of renewable energy, and the processing duration of abnormal carbon emissions through a real-time data acquisition unit, and encrypts and stores the data using a distributed sensor network and blockchain technology to ensure the authenticity and security of the data; by obtaining the emissions data of direct and indirect carbon emission sources, and combining with the IPCC standard and a local correction model to calculate the carbon emission intensity of each source, it realizes accurate analysis of the total carbon emissions; it also has a constraint and scoring mechanism for the implementation effect of carbon reduction measures, which can accurately judge whether the carbon reduction measures meet the requirements according to preset parameters and quantitatively score their comprehensive benefits, enabling park managers to make scientific decisions, select the optimal carbon reduction strategy, and significantly improve the efficiency and effect of carbon reduction measure selection; by continuously optimizing and adjusting carbon reduction measures and regularly maintaining relevant equipment, it not only improves the overall energy efficiency of the park, reduces carbon emissions, but also promotes scientific decision-making in the planning and construction of zero-carbon parks.

[0025] The above are the preferred embodiments of the present invention. It should be noted that for those of ordinary skill in the art of this technology, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present invention.

Claims

1. A zero-carbon detection and management planning method for a park, characterized in that The described planning method includes the following steps: Step 1: Implement data collection in the park: The data collection unit is used to collect in real time the data of carbon emissions, the usage cost of carbon reduction facilities, the amount of renewable energy, and the processing duration information of abnormal carbon emissions generated during the zero-carbon monitoring and management process in the park; Step 2: Analyze the total carbon emissions in the park: Obtain the emission information data of direct and indirect carbon emission sources in the park, and calculate the carbon emission intensity of each source in combination with the emission factor library. The total carbon emissions in the park are analyzed through the total carbon emission analysis unit; Step 3: Formulate and implement carbon reduction measures, as well as adjust carbon reduction measures and maintain equipment; Step 4: Evaluate the carbon reduction measures in the park: By obtaining the data of carbon emissions in the park and the usage cost information of carbon reduction equipment, and through the analysis of the carbon reduction measure constraint unit, it is concluded whether the implemented carbon reduction measures in the park meet the expected requirements; Step 5: Score the carbon reduction efficiency in the park: By obtaining the data of the amount of renewable energy in the park and the processing duration information of abnormal carbon emissions, and through the analysis of the carbon reduction efficiency scoring unit, the comprehensive score of this carbon reduction measure after the implementation of the carbon reduction measure in the park is obtained, and the scores obtained by different carbon reduction measures are compared.

2. The zero-carbon detection management planning method for a park according to claim 1, wherein In Step 1, the data collection unit includes a carbon amount collection module, a cost collection module, an energy collection module, and a processing duration collection module; The carbon amount collection module is used to collect in real time the emission information data of direct and indirect carbon emission sources in the park; The cost collection module is used to collect in real time the usage cost information data of carbon reduction equipment; The energy collection module is used to collect in real time the total amount information data of renewable energy after the implementation of carbon reduction measures in the park; The processing duration collection module is used to collect in real time the processing duration information data when abnormal carbon emissions occur after the implementation of carbon reduction measures in the park.

3. The zero-carbon detection management planning method for the park according to claim 1, characterized in that, In Step 2, during the process of analyzing the total carbon emissions in the park, the emission information data of direct and indirect carbon emission sources in the park are obtained, and through calculation and analysis, the total carbon emissions in the park are obtained: ； Where: total is the total carbon emissions of the park; N is the total number of direct carbon emission sources in the park; E i is the monthly emissions of the i-th direct carbon emission source; F i is the carbon emission factor corresponding to the direct carbon emission source; M is the total number of indirect carbon emission sources in the park; e j is the monthly emission of the j-th indirect emission source; f j is the carbon emission factor of the j-th indirect emission source.

4. The zero-carbon detection management planning method for the park according to claim 1, characterized in that, In Step 3, the formulation and implementation of carbon reduction measures are to formulate multiple groups of carbon reduction measures by comprehensively considering policies and regulations, industry standards, and the actual needs of the park, and implement specific carbon reduction measures.

5. The zero-carbon detection management planning method for the park according to claim 2, characterized in that, In Step 3, the adjustment of carbon reduction measures and equipment maintenance are to adjust the currently implemented carbon reduction measures, and perform Steps 4 - 5 to re-score and compare the adjusted carbon reduction measures. At the same time, the carbon reduction equipment involved in the implementation process of the carbon reduction measures is regularly maintained.

6. The zero-carbon detection and management planning method for the park according to claim 1, characterized in that In Step 4, during the constraint process of the carbon reduction measures in the park, the data of carbon emissions in the park and the usage cost information of carbon reduction equipment are obtained, and through calculation and analysis, the constraint index of the carbon reduction measures in the park is obtained: ； Where: lim is the constraint index of the carbon reduction measures; BE total is the monthly emission without carbon reduction measures; AE total is the actual monthly emission after implementing the carbon reduction measures; BE total - AE total is the monthly carbon reduction amount after implementing the carbon reduction measures; L is the number of carbon reduction equipment used for implementing the carbon reduction measures; C g is the monthly usage cost of the g-th carbon reduction equipment when implementing the carbon reduction measures; S is the floor area of the park; δ is the threshold parameter of the preset carbon reduction effect; β is the conversion coefficient for presetting and constraining the carbon reduction measures; μ is the standard threshold of the preset carbon reduction measures.

7. The method for zero-carbon detection and management planning of the park according to claim 6, wherein In Step 4, if lim≤μ, it indicates that this carbon reduction measure does not meet the implementation requirements and cannot continue to implement this carbon reduction measure.

8. The zero-carbon detection management planning method for the park according to claim 6, characterized in that, In Step 5, during the process of scoring the carbon reduction efficiency in the park, the data of the amount of renewable energy in the park and the processing duration information of abnormal carbon emissions are obtained, and through calculation and analysis, the carbon emission efficiency score of the park is obtained: ； Where: S k is the carbon emission efficiency score; W k is the monthly production output value of the park after implementing the k-th carbon reduction measure; total k is the total monthly carbon emissions of the park after implementing the k-th carbon reduction measure; RE k is the total monthly renewable energy of the park after implementing the th carbon reduction measure; tec k The total monthly energy consumption after the implementation of the th carbon reduction measure in the park; A is the number of abnormal carbon emission behaviors in the park; long e is the preset standard processing duration when abnormal carbon emissions occur; long a is the processing duration when abnormal carbon emissions occur for the a-th time after the implementation of the carbon reduction measure in the park; lim is the constraint index of the carbon reduction measure; α is the conversion coefficient of the preset carbon emission efficiency score.

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