Zero-carbon green industrial park planning method and system and storage medium
By building a simulation computing model and measure library, the industrial park planning scheme is optimized, the problem of lack of quantitative analysis methods in the existing technology is solved, the planning effect of zero carbon and green coordinated is achieved, and flexible and diverse optimization schemes are provided.
Patent Information
- Application Number
- CN202411608454.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-12
- Publication Date
- 2025-02-25
AI Technical Summary
The existing green industrial park planning and design lacks quantitative analysis methods that take into account both carbon emissions and green indicators, resulting in poor planning effects of zero carbon and green coordination. The modification and adjustment of the planning scheme depends on the designer's subjective judgment, and the cycle is long and difficult. Provide flexible and diverse modification solutions.
By constructing a simulation calculation model of the annual carbon emissions and green index scores of industrial parks, planning schemes that do not meet the zero carbon requirements are selected, and measures are randomly selected from the pre-built measure library for optimization until the zero carbon requirements are met. The best planning scheme is selected based on the green index score.
The indicators that take into account both zero-carbon and green industrial parks are evaluated through quantitative form, which is more objective and accurate, and provides more optimization measures and flexible and diverse planning solutions, which improves optimization efficiency and effect.
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Figure CN119514980A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to industrial park planning, and in particular to a zero-carbon green industrial park planning method, system and storage medium. Background Art
[0002] A green industrial park refers to a park that takes sustainable development as its goal, ecological priority, resource conservation, environmental friendliness, and social harmony as its basic concepts, and promotes the coordinated development of urban economy, society, and environment through comprehensive planning, scientific design, and systematic management. At present, there are set requirements for green industrial parks, which is the corresponding evaluation index system. This evaluation index system evaluates the greenness of the industrial park by calculating its green index, which includes six indicators: green energy utilization index (EG), green resource utilization index (RG), green infrastructure index (IG), green industry index (CG), green ecological environment index (HG), and green operation and management index (MG).
[0003] However, the current green industrial park evaluation index system lacks more detailed evaluation criteria for carbon emissions, and the connection and difference between the two evaluation requirements and their impact on park planning and design are still unclear. In traditional industrial park planning and design, the design is mainly based on the experience of designers, and there is no quantitative analysis method that can take into account both carbon emissions and green indicators. It is impossible to give a quantitative evaluation standard to judge the design effect and select the best design solution, resulting in poor planning and design effects of zero-carbon and green coordinated industrial parks, and it is difficult to ensure that the final design solution is the best solution. Secondly, the modification and adjustment of the planning solution is overly dependent on the subjective judgment of a single designer. Because of human participation, the modification and adjustment process may take a long time, and it is impossible to provide flexible and diverse modification solutions conveniently. Summary of the invention
[0004] Purpose of the invention: The main purpose of the present invention is to provide a zero-carbon green industrial park planning method, system and storage medium that can quantitatively evaluate the effect of planning schemes and give the optimal planning scheme, and secondly, can conveniently provide optimization, modification and adjustment schemes.
[0005] Technical solution: A zero-carbon green industrial park planning method according to the present invention comprises the following steps:
[0006] S1. Construct a simulation calculation model for the annual carbon emissions and green index scores of industrial parks;
[0007] S2. Construct planning schemes for various industrial parks; construct a measure library for adjusting planning schemes based on the planning schemes of industrial parks and the setting requirements of green industrial parks;
[0008] S3, substituting the relevant parameters in the planning scheme of the industrial park into the simulation calculation model of annual carbon emissions, if the annual carbon emissions are greater than zero, proceed to step S4, otherwise proceed to step S5;
[0009] S4, randomly selecting measures from the measure library to adjust the planning scheme of the industrial park, and then returning to step S3;
[0010] S5. Substituting relevant parameters in the planning scheme of the industrial park into the simulation calculation model of the green index score to calculate the green index score;
[0011] S6. The planning scheme of the industrial park with the highest green index score shall be the best planning scheme.
[0012] Based on the above technical scheme, a simulation calculation model of annual carbon emissions and green index scores is first constructed, and then the relevant parameters of carbon-related entities in each planned industrial park are input into the carbon emissions simulation calculation model to confirm whether the carbon emissions are greater than zero. If greater than zero, the corresponding measures are randomly selected from the pre-constructed measure library to optimize the planning scheme until its carbon emissions are less than or equal to zero. The optimization is stopped, and finally the relevant parameters of all planning schemes with carbon emissions less than or equal to zero are substituted into the simulation calculation model of the green index score, and the industrial park planning scheme with the highest green index score is taken as the best planning scheme; carbon emissions are used as the criterion for optimization because the setting requirements of green industrial parks cover a wider range than zero carbon, and those that meet the setting requirements of green industrial parks may not necessarily meet zero carbon. First, confirm the planning scheme that meets zero carbon, and then select the best planning scheme for the green industrial park according to the green index score. It can take into account both indicators at the same time, and it is evaluated in a quantitative form, which is more objective and does not rely on the experience of the designer; at the same time, it is more convenient and quick to directly select measures from the constructed measure library for optimization, and random selection can also provide more optimization measures and thus provide flexible and diverse planning schemes.
[0013] Preferably, the process of constructing the measures library in step S2 is: selecting indicators related to carbon emissions from the set requirements of the green industrial park, designing corresponding carbon emission reduction measures for each indicator, and aggregating all measures into a measures library.
[0014] By pre-designing a measures library, we can avoid over-reliance on the experience of a single designer in the later planning optimization process and provide more and broader optimization measures. At the same time, the optimized measures should match the carbon emission-related indicators in the set requirements of the green industrial park. Optimization through the measures in the measures library can take into account the requirements of both zero-carbon and green industrial parks.
[0015] The zero-carbon green industrial park planning system of the present invention includes:
[0016] Model building module: used to build a simulation calculation model for the annual carbon emissions and green index scores of industrial parks;
[0017] Planning scheme and measures library construction module: used to construct planning schemes for various industrial parks; construct a measures library for adjusting planning schemes according to the planning schemes of industrial parks and the setting requirements of green industrial parks;
[0018] Carbon emission qualification inspection module: used to substitute the relevant parameters in the planning scheme of the industrial park into the simulation calculation model of annual carbon emissions. If the annual carbon emissions are greater than zero, the planning scheme optimization module is run; otherwise, the green index score calculation module is run;
[0019] Planning scheme optimization module: randomly select measures from the measure library to adjust the planning scheme of the industrial park, and then return to run the carbon emission qualification inspection module;
[0020] Green index score calculation module: used to substitute relevant parameters in the planning scheme of the industrial park into the simulation calculation model of the green index score to calculate the green index score;
[0021] Final plan confirmation module: used to select the planning plan of the industrial park with the highest green index score as the best planning plan.
[0022] The computer-readable storage medium storing one or more programs described in the present invention includes one or more programs including instructions, and when the instructions are executed by a computing device, the computing device executes any one of the above methods.
[0023] Beneficial effects: Compared with the prior art, the present invention has the following significant effects: by inputting relevant parameters in the industrial park planning scheme into the constructed annual carbon emissions simulation calculation model, the planning schemes that do not meet the zero-carbon requirements are screened out, and then measures are selected from the pre-constructed measure library for optimization, so that all schemes meet the zero-carbon requirements, and then the relevant parameters are substituted into the green index score simulation calculation model to calculate the green index score and select the scheme with the highest score, which can take into account the indicators of zero carbon and green park, and is judged in a quantitative form, which is more objective and accurate; secondly, the pre-constructed measure library can provide more flexible and diverse optimization measures, thereby improving the optimization efficiency and effect. BRIEF DESCRIPTION OF THE DRAWINGS
[0024] Figure 1 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION
[0025] As shown in the figure, the zero-carbon green industrial park planning method of the present invention includes the following steps:
[0026] S1. Construct a simulation calculation model for the annual carbon emissions and green index score of the industrial park.
[0027] The simulation calculation model for annual carbon emissions is as follows
[0028]
[0029] Among them, C is the annual carbon emission of the industrial park, C i is the carbon emissions of the ith carbon-related entity, and n is the total number of carbon-related entities. The total number of carbon-related entities will also vary in different planning schemes.
[0030] C i Calculate according to the following formula
[0031]
[0032] Among them, C Ei , C Ii , C Wi and C si They are the annual carbon emissions from energy activities, annual carbon emissions from production activities, annual carbon emissions from waste treatment and annual carbon emission reductions of the i-th carbon-related entity.
[0033] Annual emissions from energy activities are calculated using the following formula:
[0034]
[0035] Among them, EC i,j The annual consumption of the jth type of energy other than the production of the i-th carbon-related entity, EF i,j The carbon emission factor for the j-type energy unit consumption outside the production of the i-th carbon-related entity; n ECi The total number of energy types consumed by the i-th carbon-related entity other than production; PE i,j,k PEF is the annual consumption of the kth type of energy required by the i-th carbon-related entity to produce the jth type of product. i,j,k is the carbon emission factor of the k-th energy unit consumption required by the ith carbon-related entity to produce the j-th product; m is the total number of energy types consumed in producing the product, n Pi The total number of products produced for the ith carbon-related entity;
[0036] The annual carbon emissions from production activities are calculated according to the following formula:
[0037]
[0038] Among them, Y i,j is the annual output of the jth product of the i-th carbon-related entity, IF i,j is the carbon emission factor per unit of output of the j-th product of the i-th carbon-related entity;
[0039] The annual carbon emissions from waste treatment are calculated according to the following formula:
[0040]
[0041] Among them, WS i,j The annual treatment volume of the jth type of solid waste generated by the i-th carbon-related entity; is the proportion of carbon content in the jth type of solid waste; WL is the conversion coefficient of carbon in solid waste into carbon dioxide; i,j is the chemical oxygen demand of the j-th type of wastewater produced by the i-th carbon-related entity, R WLj is the proportion of organic matter in the jth type of wastewater that can be degraded into carbon dioxide, V i,j is the annual discharge of the jth type of wastewater of the ith carbon-related entity; is the conversion factor of carbon in wastewater into carbon dioxide.
[0042] The annual carbon emission reduction is calculated according to the following formula
[0043]
[0044] Among them, SE i,j is the annual energy output of the jth type of renewable energy equipment in the i-th carbon-related entity, SEF i,j is the carbon emission factor per unit energy output of the j-th type of renewable energy equipment in the i-th carbon-related entity.
[0045] For example, the specific annual carbon emission simulation calculation model of the carbon-related main vehicle V1 in the park is:
[0046]
[0047] In the formula, is the annual driving distance of vehicle V1; The annual average energy consumption per unit mileage of vehicle V1; Equivalent to That is, the annual consumption of energy other than that produced by the carbon-related entity, vehicle V1. Since the vehicle consumes no other energy except oil, its energy consumption is not further classified; is the carbon emission factor of the energy consumed by vehicle V1.
[0048] In summary
[0049]
[0050] The above formula is C i Complete calculation formula.
[0051] The simulation calculation model of the green index score is established with reference to the calculation method of the "Green Industrial Park Evaluation Requirements" issued by the Ministry of Industry and Information Technology, as follows:
[0052]
[0053] Among them, GI is the green index score of the industrial park;
[0054] EG i is the green index value of the i-th energy utilization; EG bi is the leading value of the green indicator of energy utilization item i;
[0055] RG i is the green index value of resource utilization of item i, RG bi The green indicator leading value for the i-th resource utilization;
[0056] IG i is the greening index value of the i-th infrastructure, IG bi is the leading value of the i-th infrastructure green indicator;
[0057] CG i is the green index value of the i-th industry, CG bi is the leading value of the green indicator of the ith industry;
[0058] HG i is the i-th ecological environment green index value, HG bi is the leading value of the i-th ecological environment green indicator;
[0059] MG i is the green index value of operation management of item i, MG bi It is the leading value of the green indicator for operation management of the ith item.
[0060] The calculation formula of GI can also be adjusted according to actual conditions. For example, if the positive indicator requires the value to be as large as possible, then use the indicator value / leading value. If the reverse indicator requires the value to be as small as possible, then use the leading value / indicator value. All indicators in the calculation formula given above are calculated according to the positive indicator.
[0061] S2. Construct planning schemes for various industrial parks; construct a measure library for adjusting planning schemes based on the planning schemes of industrial parks and the setting requirements of green industrial parks;
[0062] The planning scheme for an industrial park includes determining the geographical location of the industrial park, its boundaries, the carbon-related entities it includes, and the operational arrangements for the corresponding entities.
[0063] The construction process of the measures library is as follows: select indicators related to carbon emissions from the set requirements of the green industrial park, design corresponding carbon emission reduction measures for each indicator, and summarize all measures into a measures library.
[0064] The specific process is: screen the major indicators in the "Green Industrial Park Evaluation Requirements" of the Ministry of Industry and Information Technology, classify and summarize the indicators related to carbon emissions in industrial parks, and list the corresponding carbon emission reduction optimization measures for each indicator. This ensures that while optimizing carbon emission reduction for planning schemes that do not meet the zero-carbon target, the scores of relevant green indicators can also be guaranteed; the relevant indicators of green industrial parks include:
[0065] The required items in the green energy utilization indicators are: energy output rate and the proportion of renewable energy use.
[0066] The required items in the green resource utilization indicators are: water resource output rate, comprehensive utilization rate of industrial solid waste, and industrial water reuse rate; the optional items are: grey water reuse rate, waste heat resource recovery rate, and waste gas resource recovery rate.
[0067] Optional items in the green infrastructure indicators: the proportion of green buildings in newly built industrial buildings, the proportion of green buildings in newly built public buildings, the coverage rate of 500-meter bus stops, and the proportion of energy-saving and new energy buses.
[0068] Optional items in the ecological environment greening indicators: green coverage rate.
[0069] The specific classification of each type of indicator and the corresponding carbon emission reduction measures are as described in Table 1. It should be noted that Table 1 only provides reference cases, and each type of indicator can have different carbon emission reduction measures.
[0070] Table 1 Evaluation indicators of green industrial parks and corresponding carbon emission reduction measures
[0071]
[0072]
[0073] The random selection of relevant measures is to adopt a random allocation algorithm, such as the Mersenne rotation method, to randomly select different optimization measures from the measure library, thereby ensuring the flexibility and diversity of the optimization scheme, and being able to generate more industrial park planning schemes that meet the expected goals for users.
[0074] S3, substituting the relevant parameters in the planning scheme of the industrial park into the simulation calculation model of annual carbon emissions to calculate the annual carbon emissions; if the annual carbon emissions are greater than zero, it is considered that it does not meet the zero-carbon target and proceeds to step S4; otherwise, it is considered that it meets the zero-carbon target and proceeds to step S5;
[0075] S4, randomly selecting measures from the measure library to adjust the planning scheme of the industrial park, and then returning to step S3;
[0076] S5. Substituting relevant parameters in the planning scheme of the industrial park into the simulation calculation model of the green index score to calculate the green index score;
[0077] S6. The planning scheme of the industrial park with the highest green index score shall be the best planning scheme.
[0078] The zero-carbon green industrial park planning system of the present invention includes:
[0079] Model building module: used to build a simulation calculation model for the annual carbon emissions and green index scores of industrial parks;
[0080] Planning scheme and measures library construction module: used to construct planning schemes for various industrial parks; construct a measures library for adjusting planning schemes according to the planning schemes of industrial parks and the setting requirements of green industrial parks;
[0081] Carbon emission qualification inspection module: used to substitute the relevant parameters in the planning scheme of the industrial park into the simulation calculation model of annual carbon emissions. If the annual carbon emissions are greater than zero, the planning scheme optimization module is run; otherwise, the green index score calculation module is run;
[0082] Planning scheme optimization module: randomly select measures from the measure library to adjust the planning scheme of the industrial park, and then return to run the carbon emission qualification inspection module;
[0083] Green index score calculation module: used to substitute relevant parameters in the planning scheme of the industrial park into the simulation calculation model of the green index score to calculate the green index score;
[0084] Final plan confirmation module: used to select the planning plan of the industrial park with the highest green index score as the best planning plan.
[0085] The computer-readable storage medium storing one or more programs described in the present invention includes one or more programs including instructions, and when the instructions are executed by a computing device, the computing device executes any one of the above methods.
Claims
1. A zero-carbon green industrial park planning method, characterized in that: The following steps are involved: S1. Construct a simulation calculation model for the annual carbon emissions and green index scores of industrial parks; S2. Construct planning schemes for various industrial parks; construct a measure library for adjusting planning schemes based on the planning schemes of industrial parks and the setting requirements of green industrial parks; S3, substituting the relevant parameters in the planning scheme of the industrial park into the simulation calculation model of annual carbon emissions, if the annual carbon emissions are greater than zero, proceed to step S4, otherwise proceed to step S5; S4, randomly selecting measures from the measure library to adjust the planning scheme of the industrial park, and then returning to step S3; S5. Substituting relevant parameters in the planning scheme of the industrial park into the simulation calculation model of the green index score to calculate the green index score; S6. The planning scheme of the industrial park with the highest green index score shall be the best planning scheme.
2. A zero-carbon green industrial park planning method according to claim 1, characterized in that: The simulation calculation model of annual carbon emissions in step S1 is as follows Among them, C is the annual carbon emission of the industrial park, C i is the carbon emissions of the ith carbon-related entity, and n is the total number of carbon-related entities; C i Calculate according to the following formula C i =C Ei +C Ii +C Wi -C si Among them, C Ei , C Ii , C Wi and C si They are the annual carbon emissions from energy activities, annual carbon emissions from production activities, annual carbon emissions from waste treatment and annual carbon emission reduction of the i-th carbon-related entity.
3. The method for planning a zero-carbon green industrial park according to claim 1, characterized in that: The annual emissions from the energy activities are calculated according to the following formula Among them, EC i,j The annual consumption of the jth type of energy other than the production of the i-th carbon-related entity, EF i,j The carbon emission factor for the j-type energy unit consumption outside the production of the i-th carbon-related entity; n ECi The total number of energy types consumed by the i-th carbon-related entity other than production; PE i,j,k PEF is the annual consumption of the kth type of energy required by the i-th carbon-related entity to produce the jth type of product. i,i, k is the carbon emission factor of the k-th energy unit consumption required by the i-th carbon-related entity to produce the j-th product; m is the total number of energy types consumed in producing the product, The total number of products produced for the ith carbon-related entity; The annual carbon emissions from production activities are calculated according to the following formula: Among them, Y i,j is the annual output of the jth product of the i-th carbon-related entity, IF i,j is the carbon emission factor per unit of output of the j-th product of the i-th carbon-related entity; The annual carbon emissions from waste treatment are calculated according to the following formula: Among them, WS i,j The annual treatment volume of the jth type of solid waste generated by the i-th carbon-related entity; WL is the carbon content ratio in the jth type of solid waste; i,j is the chemical oxygen demand of the jth type of wastewater produced by the i-th carbon-related entity, is the proportion of organic matter in the jth type of wastewater that can be degraded into carbon dioxide, V i,j is the annual discharge of the jth type of wastewater of the ith carbon-related entity; The annual carbon emission reduction is calculated according to the following formula Among them, SE i,j is the annual energy output of the jth type of renewable energy equipment in the i-th carbon-related entity, SEF i,j is the carbon emission factor per unit energy output of the j-th type of renewable energy equipment in the ith carbon-related entity.
4. The method for planning a zero-carbon green industrial park according to claim 1, characterized in that: The simulation calculation model of the green index score in step S1 is as follows Among them, GI is the green index score of the industrial park; EG i is the green index value of the i-th energy utilization; EG bi RG is the leading value of the green indicator of energy utilization of item i; i is the green index value of resource utilization of item i, RG bi The green indicator leading value for the i-th resource utilization; IG i is the greening index value of the i-th infrastructure, IG bi CG is the leading value of the i-th infrastructure green indicator; i is the green index value of the i-th industry, CC bi HG is the leading value of the green indicator of the i-th industry; i is the i-th ecological environment green index value, HG bi is the leading value of the i-th ecological environment green indicator; MG i is the green index value of the i-th operation management, MG bi It is the leading value of the green indicator for operation management of the ith item.
5. The method for planning a zero-carbon green industrial park according to claim 1, characterized in that: The planning scheme of the industrial park in step S2 includes determining the geographical location, boundary range, carbon-related entities included in the industrial park and the operation arrangements of the corresponding entities.
6. A zero-carbon green industrial park planning method according to claim 1, characterized in that: The process of constructing the measure library in step S2 is as follows: selecting indicators related to carbon emissions from the set requirements of the green industrial park, designing corresponding carbon emission reduction measures for each indicator, and aggregating all measures into a measure library.
7. A zero-carbon green industrial park planning method according to claim 6, characterized in that: The carbon emission-related indicators in the setting requirements of the green industrial park include energy output rate, proportion of renewable energy use, water resource output rate, comprehensive utilization rate of industrial solid waste, industrial water reuse rate, grey water reuse rate, waste heat resource recovery rate, waste gas resource recovery rate, the proportion of green buildings in newly built industrial buildings, the proportion of green buildings in newly built public buildings, bus stop coverage rate, the proportion of energy-saving and new energy buses and greening coverage rate.
8. A zero-carbon green industrial park planning method according to claim 6, characterized in that: The carbon emission reduction measures include increasing the thermal engineering ratio of building envelope structures, increasing the proportion of new energy buses, adding exhaust gas recovery devices, increasing the reuse rate of industrial water, adding waste heat recovery devices, and using renewable energy for energy substitution.
9. A zero-carbon green industrial park planning system, characterized in that: The system comprises: Model building module: used to build a simulation calculation model for the annual carbon emissions and green index scores of industrial parks; Planning scheme and measures library construction module: used to construct planning schemes for various industrial parks; construct a measures library for adjusting planning schemes according to the planning schemes of industrial parks and the setting requirements of green industrial parks; Carbon emission qualification inspection module: used to substitute the relevant parameters in the planning scheme of the industrial park into the simulation calculation model of annual carbon emissions. If the annual carbon emissions are greater than zero, the planning scheme optimization module is run; otherwise, the green index score calculation module is run; Planning scheme optimization module: randomly select measures from the measure library to adjust the planning scheme of the industrial park, and then return to run the carbon emission qualification inspection module; Green index score calculation module: used to substitute relevant parameters in the planning scheme of the industrial park into the simulation calculation model of the green index score to calculate the green index score; Final plan confirmation module: used to select the planning plan of the industrial park with the highest green index score as the best planning plan.
10. A computer-readable storage medium storing one or more programs, characterized in that: The one or more programs include instructions which, when executed by a computing device, cause the computing device to perform any one of the methods according to claims 1 to 8.
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