CN116523115A - Low-carbon park carbon management and control method and system based on carbon accounting intelligent tracking - Google Patents
Low-carbon park carbon management and control method and system based on carbon accounting intelligent tracking Download PDFInfo
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Abstract
The invention discloses a carbon management control method and system for a low-carbon park based on intelligent tracking of carbon accounting, wherein the method comprises the steps of determining a checking range of the low-carbon park based on carbon emission in the low-carbon park and carbon emission conditions counteracted by vegetation; collecting carbon source and carbon sink data in the checking range, and establishing a dynamic carbon emission prediction model of the low-carbon park; collecting carbon footprint in the low-carbon park, and carrying out full-cycle full-field carbon accounting of the low-carbon park in combination with a prediction model; and according to the model prediction result, the intelligent carbon management and control are carried out on the low-carbon park by combining the Internet of things. The method breaks through the problems of high simulation modeling difficulty, difficult acquisition of basic data, poor calculation accuracy and unrepeatable popularization of the traditional load prediction method, has extremely strong operability, replicatable popularization and scientific accuracy, and can be suitable for various low-carbon park projects of a plurality of typical cities.
Description
Technical Field
The invention relates to the technical field of carbon management and control of low-carbon parks, in particular to a carbon management and control method and system of a low-carbon park based on intelligent tracking of carbon accounting.
Background
The carbon management and control process of the low-carbon intelligent park needs to process mass carbon metering data of each unit of the park, and provides basic data for carbon metering homonymy and ring ratio analysis of each unit and enterprises in the same industry. The history archiving server of the management platform needs to be guaranteed to have high-efficiency storage compression performance so as to achieve high-resolution and high-precision storage of mass storage data, save disk space and guarantee long-term stable operation of database service.
At present, the energy management of the campus at home and abroad is more, the energy consumption of enterprises in the campus is collected, measured and calculated, and the concept of carbon footprint is less introduced. The existing garden carbon management and control research has the advantages that the energy consumption management and control platform, the energy consumption data acquisition technology and the transmission technology are rich, few carbon management and control researches are mainly guided by the analysis of the actual consumption and the consumption of CO2, no actual intelligent management and control measures exist, no evaluation standard for carrying out the system on the carbon flow direction of the garden is formed, the flow routes of carbon elements in various fields of each industry of the garden are not revealed, the measures cannot be taken in the carbon reduction process of the garden in a targeted manner,
in some existing carbon footprint management platforms, most of the concerns are carbon footprints during building and campus operations, and carbon footprints under full life cycle are not considered. Meanwhile, the statistical carbon footprint main body mainly takes the energy field, and the carbon footprint supervision of the whole field in the aspects of operation and maintenance management, transportation, illumination energy supply and the like in the whole park is not integrated.
Disclosure of Invention
This section is intended to outline some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section as well as in the description summary and in the title of the application, to avoid obscuring the purpose of this section, the description summary and the title of the invention, which should not be used to limit the scope of the invention.
The present invention has been made in view of the above-described problems occurring in the prior art.
Therefore, the invention provides a low-carbon park carbon management and control method and system based on intelligent tracking of carbon accounting, which can solve the problems in the background technology.
In order to solve the technical problems, the invention provides a low-carbon park carbon management and control method based on intelligent tracking of carbon accounting, which comprises the following steps:
determining a low-carbon park checking range based on carbon emission in the low-carbon park and carbon emission conditions counteracted by vegetation;
collecting carbon source and carbon sink data in the checking range, and establishing a dynamic carbon emission prediction model of the low-carbon park;
collecting carbon footprints in the low-carbon park, and carrying out full-cycle full-field carbon accounting on the low-carbon park in combination with the prediction model;
and according to the model prediction result, the intelligent carbon management and control are carried out on the low-carbon park by combining the Internet of things.
As a preferable scheme of the carbon management control method of the low-carbon park based on intelligent tracking of carbon accounting, the invention comprises the following steps: the checking range comprises an area in the form of a single functional building including offices, hotels, residences and hospitals in the low-carbon park as the checking range;
the checking range is divided into carbon sources and carbon sinks, the carbon sources are carbon footprints generated by individuals and related to park operation, the park operation comprises consumption of various energy sources and resources and other quantifiable consumable contents, and the carbon sinks comprise green plants in the park range.
As a preferable scheme of the carbon management control method of the low-carbon park based on intelligent tracking of carbon accounting, the invention comprises the following steps: the low carbon park carbon emission dynamic prediction model includes,
preprocessing the data collected in the low-carbon park, wherein the preprocessing comprises partial autocorrelation function analysis, sliding window processing and standardization;
establishing a dynamic prediction model of carbon emission in a low-carbon park by combining a convolutional neural network;
substituting the preprocessed data into a dynamic prediction model of the carbon emission of the low-carbon park for convolutional neural network training, and performing model evaluation on the trained model.
As a preferable scheme of the carbon management control method of the low-carbon park based on intelligent tracking of carbon accounting, the invention comprises the following steps: the low carbon park carbon emission dynamic prediction model further comprises,
the loss function is calculated as follows:
wherein X is i Is the ith actual data of the carbon source and carbon sink data in the check range,the i-th predicted data of the carbon source and carbon sink data in the checking range is obtained, and M represents the total training data quantity of the carbon source and carbon sink data in the checking range.
As a preferable scheme of the carbon management control method of the low-carbon park based on intelligent tracking of carbon accounting, the invention comprises the following steps: the low carbon park carbon emission dynamic prediction model further comprises,
the calculation method of the model performance evaluation index comprises the following steps:
where yi represents the ith actual data of the carbon source and carbon sink data within the check range,represents the ith predicted data of carbon source and carbon sink data in the checking range, M represents the total data amount of the carbon source and carbon sink data in the checking range, and P 1 (i) As the first index, P 2 (i) As the second index, P 3 (i)The larger the value of (c), the poorer the performance of the network.
As a preferable scheme of the carbon management control method of the low-carbon park based on intelligent tracking of carbon accounting, the invention comprises the following steps: the carbon accounting includes the steps of,
wherein Z (x) is the total carbon footprint value of the elements affecting the carbon emission of the low-carbon park, x is a specific element of the low-carbon park, f (x) is the carbon footprint factor of the corresponding element, namely the carbon footprint generated by the element, S total The unit is determined by the type of element for the total amount of the element in the low carbon park.
As a preferable scheme of the carbon management control method of the low-carbon park based on intelligent tracking of carbon accounting, the invention comprises the following steps: also included is a method of manufacturing a semiconductor device,
building a three-dimensional model of the carbon flow direction of the single building in the park by adopting a BIM technology, and carrying out visual processing on the data solved by the prediction model;
the method comprises the steps of monitoring air source heat pump, ground source heat pump, boiler, water inlet and outlet temperature, flow, pressure, power, refrigerating and heating capacity of air source heat pump, ground source heat pump, boiler and water pump equipment in a comprehensive cold and heat source system of a park in real time, displaying, storing and calling the generated energy, the consumed energy and related data of photovoltaic equipment and electric equipment in a micro-grid system in different modes at related interfaces;
the collecting of the carbon footprint in the low-carbon park comprises the steps of cleaning part of abnormal original data, settling the cleaned data, and only manually intervening in the case of wrong operation of the irregular meter.
Low carbon garden carbon management and control system based on carbon accounting wisdom is tracked, its characterized in that: comprises a range determining module, a model establishing module, an accounting module and a management and control module,
the range determining module is used for determining a low-carbon park checking range based on carbon emission in the low-carbon park and carbon emission conditions counteracted by vegetation;
the model building module is used for collecting carbon source and carbon sink data in the checking range and building a dynamic carbon emission prediction model of the low-carbon park;
the accounting module is used for collecting carbon footprints in the low-carbon park and carrying out full-cycle full-field carbon accounting on the low-carbon park in combination with the prediction model;
and the control module is used for carrying out intelligent carbon control on the low-carbon park by combining the Internet of things according to the model prediction result.
A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method as described above when executing the computer program.
A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method as described above.
The invention has the beneficial effects that: the invention provides a low-carbon park carbon management control method and system based on intelligent tracking of carbon accounting. The low-carbon park comprehensive energy system integrates energy supply side, demand side and environmental parameters of the park, including clean energy power generation, energy storage, power consumption, cold, heat and other energy data, and the supply and demand prediction, carbon monitoring and carbon footprint tracking of the multi-energy system are displayed through a visualization technology through fine modeling, so that the response capability level of the comprehensive energy system is evaluated, and the park energy full-factor perception and display are realized. In addition, the low-carbon park comprehensive energy system integrates various energy systems such as an air conditioning system, a photovoltaic system, an energy storage system and a power distribution system, aims at low-carbon operation, optimizes and controls energy equipment with controllable load based on an intelligent self-adaptive operation control algorithm, efficiently consumes clean energy in situ, and realizes cooperative operation control and in-situ real-time balance of controllable load, multi-form clean energy and energy storage. The invention provides a low-carbon park cold-hot electric load prediction method based on a typical database, which is used for researching the change rules of energy sources such as cold, heat, electricity, gas and the like of various industries and typical buildings in a typical low-carbon park scene under the conditions of different development stages, different scales and different industrial application levels in the future. The method breaks through the problems of high simulation modeling difficulty, difficult acquisition of basic data, poor calculation accuracy and unrepeatable popularization of the traditional load prediction method, has extremely strong operability, replicatable popularization and scientific accuracy, and can be suitable for various low-carbon park projects of a plurality of typical cities.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
FIG. 1 is a flow chart of a method and system for controlling carbon in a low-carbon park based on intelligent tracking of carbon accounting according to one embodiment of the present invention;
FIG. 2 is a block diagram illustrating an exemplary embodiment of a method and system for controlling carbon management in a low-carbon park.
Detailed Description
So that the manner in which the above recited objects, features and advantages of the present invention can be understood in detail, a more particular description of the invention, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present invention is not limited to the specific embodiments disclosed below.
Further, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic can be included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
While the embodiments of the present invention have been illustrated and described in detail in the drawings, the cross-sectional view of the device structure is not to scale in the general sense for ease of illustration, and the drawings are merely exemplary and should not be construed as limiting the scope of the invention. In addition, the three-dimensional dimensions of length, width and depth should be included in actual fabrication.
Also in the description of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "upper, lower, inner and outer", etc. are based on the orientation or positional relationship shown in the drawings, are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the apparatus or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first, second, or third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected, and coupled" should be construed broadly in this disclosure unless otherwise specifically indicated and defined, such as: can be fixed connection, detachable connection or integral connection; it may also be a mechanical connection, an electrical connection, or a direct connection, or may be indirectly connected through an intermediate medium, or may be a communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
Example 1
Referring to fig. 1-2, a first embodiment of the present invention provides a method and a system for controlling carbon in a low-carbon park based on intelligent tracking of carbon accounting, comprising:
step 102, determining a low-carbon park checking range based on carbon emission in the low-carbon park and carbon emission conditions counteracted by vegetation;
the checking range comprises an area in the form of a single functional building and an independent building type, wherein the area comprises offices, hotels, houses and hospitals in the low-carbon park, and the single functional building and the independent building type are used as the checking range;
specifically, the checking range is divided into carbon sources and carbon sinks, the carbon sources are carbon footprints generated by individuals and related to park operation, the park operation comprises consumption of various energy sources and resources and other quantifiable consumable contents, and the carbon sinks comprise green plants in the park range.
Further, the carbon source is a carbon footprint related to park operation and generated by individuals, the park operation mainly comprises consumption of various energy sources and resources, such as electricity, natural gas, gasoline, diesel, coal, municipal heating, tap water and the like, and the individuals generate contents which comprise clothes, foods, traffic and other easily quantified contents; carbon sinks include plants that can absorb greenhouse gases, i.e., landscaping on a campus-wide basis.
Step 104, collecting carbon source and carbon sink data in the checking range, and establishing a dynamic prediction model of carbon emission of the low-carbon park;
the low-carbon park carbon emission dynamic prediction model comprises the steps of preprocessing data collected in a low-carbon park, wherein the preprocessing comprises partial autocorrelation function analysis, sliding window processing and standardization;
furthermore, a dynamic prediction model of the carbon emission of the low-carbon park is established by combining a convolutional neural network;
furthermore, the preprocessed data is substituted into a dynamic prediction model of the carbon emission of the low-carbon park to carry out convolutional neural network training, and model evaluation is carried out on the trained model.
It should be noted that the dynamic prediction model of the carbon emission of the park is not only beneficial to managing production and operation of enterprises in the park and realizing zero carbonization of the park, but also provides a comparison guidance and management basis for realizing intelligent carbon management and control of the park. According to the method, an offline load prediction feature extraction and online neural network correction-based fusion prediction method is adopted, on one hand, an offline dynamic load prediction mathematical model and a simulation database are utilized, uncertainty and dynamic discrete characteristics of carbon consumption and flow direction of a park building are analyzed by utilizing a random forest feature method, and an offline feature positioning prediction basis is formed; on the other hand, an online data deep learning method combined with long-term and short-term memory neural network calculation is provided, and a dynamic demand prediction optimization method fused with feature positioning and deep learning theory is provided, so that carbon emission prediction suitable for a dynamic scene of a coupling system is realized.
Further, the dynamic prediction model of the carbon emission of the low-carbon park also comprises,
the loss function is calculated as follows:
wherein X is i Is the ith actual data of the carbon source and carbon sink data in the check range,the i-th predicted data of the carbon source and carbon sink data in the checking range is obtained, and M represents the total training data quantity of the carbon source and carbon sink data in the checking range.
Further, the dynamic prediction model of the carbon emission of the low-carbon park also comprises,
the calculation method of the model performance evaluation index comprises the following steps:
wherein yi tableShows the ith actual data of carbon source and carbon sink data within the check range,represents the ith predicted data of carbon source and carbon sink data in the checking range, M represents the total data amount of the carbon source and carbon sink data in the checking range, and P 1 (i) As the first index, P 2 (i) As the second index, P 3 (i) The larger the value of (c), the poorer the performance of the network.
It should be noted that, for the problem of long-term dependence of time series characteristics, considering the calculation speed of the network, the load prediction model adopts a convolution network and a GRU network to jointly build a characteristic extraction module with fewer parameters. The prediction module functions to calculate the prediction loss of the model during network training and predict the target value corresponding to the input value during network model reuse.
Step 106, collecting carbon footprints in the low-carbon park, and carrying out full-period full-field carbon accounting on the low-carbon park in combination with a prediction model;
wherein the carbon accounting includes, the steps of,
wherein Z (x) is the total carbon footprint value of the elements affecting the carbon emission of the low-carbon park, x is a specific element of the low-carbon park, f (x) is the carbon footprint factor of the corresponding element, namely the carbon footprint generated by the element, S total The unit is determined by the type of element for the total amount of the element in the low carbon park.
It should be noted that, the BIM technology is adopted to build a three-dimensional model of the carbon flow direction of the single building in the park, and the data solved by the prediction model is visualized;
it should be noted that, the air source heat pump, the ground source heat pump, the boiler, the water inlet and outlet temperature, the flow, the pressure, the power, the refrigerating and heating quantity of the water pump equipment in the comprehensive cold and heat source system of the park, the generated energy, the electric consumption and the related data of the photovoltaic equipment and the electric equipment in the micro-grid system are monitored in real time, and are displayed, stored and called in different modes at the related interfaces;
it should be noted that collecting the carbon footprint in the low-carbon park includes cleaning part of the abnormal raw data, and settling the cleaned data, and only manual intervention is required for the wrong operation condition of the irregular meter.
It should be noted that after defining the scope of carbon management, the carbon footprint data of the campus operation may be collected in the following manner: and analyzing and determining the energy resource consumption distribution and the duty ratio of the low-carbon park, and collecting the consumption conditions of electric energy, natural gas, municipal heating power, gasoline, diesel oil and resource water by adopting a statistical extraction or Internet-based technology. The invention can monitor the data of the comprehensive cold and heat source system (such as inlet and outlet water temperature, flow, pressure, power, refrigerating and heating capacity and the like of the air source heat pump, the ground source heat pump, the boiler, the water pump and the like) and the micro-grid system (such as the generated energy, the electric consumption and the like of the photovoltaic equipment, the electric consumption and the like) in real time, and can display, store and call the data in different modes at related interfaces.
It should be noted that, processing original data of the remote meter, storing the processed settlement data in a database, cleaning partial abnormal original data, and settling the cleaned data, only the wrong operation condition of the irregular meter needs to be manually interfered.
It should be noted that, the data related to the whole-flow carbon management of the park is collected, including the metering data of primary energy sources such as gas, steam, electric power, water, oxygen, compressed air and the like of the energy sources, secondary energy sources, consumption and outsourcing amount; power consumption and carbon oxide production in the park traffic field; status feature data for key industrial production and consumption equipment; and offline data such as operation regulations, standards, system files, video images and the like related to energy production and consumption. And cleaning, integrating and storing the multi-source heterogeneous data in a classified manner, performing unified main data and metadata management to form a standard data view, eliminating data islands, realizing full-dimension data fusion, and providing a solid data base for intelligent application of carbon management and control.
Furthermore, after determining the carbon control range and the accounting boundary of the park, under the guidance of a dynamic carbon prediction model, the BIM technology is adopted to primarily control the carbon flow direction of the park single building, and the core is a parameterized and informationized three-dimensional model, so that the characteristics of the building entity engineering project can be expressed in a visualized, parameterized and digitized mode after the relevant professional information is integrated, the information form presented in the whole building process is ensured to be symmetrical, real-time and continuous relevant data can be provided for the green building, and the carbon emission and flow direction management requirements of the single building are met.
And step 108, performing intelligent carbon management and control on the low-carbon park by combining the Internet of things according to the model prediction result.
In order to meet the digital, networked and intelligent development of carbon management and control, new generation information technologies such as big data, cloud computing and the like are fully utilized, the whole-process whole-field carbon remote management and control of a park is realized based on an Internet of things platform, material flow, energy flow and information flow whole-dimension data fusion is realized, the knowledge of energy sources is explicit, modeling and mapping are realized, the whole-system carbon dynamic evaluation optimization is realized, the multi-time space-scale energy flow prediction and coupling optimization are realized, the integrated optimization of production and energy scheduling is realized, the whole-process carbon emission accounting and analysis and other energy whole-life-cycle intelligent services are realized, the low-carbon park carbon management and control system and software with self-sensing, self-analysis, self-decision and self-optimization control capability are developed through a cloud side end collaborative mode, management personnel at all levels are helped to comprehensively know the carbon whole-life-cycle management and application current situation in real time, the abnormal problems appearing in each stage of the carbon whole-life-cycle are diagnosed, the change trend is predicted, and a comprehensive optimization scheme is provided.
Furthermore, an energy consumption management and control long connection server facing the equipment is built through an EMQ X framework of the Internet of things technology, and message transmission is carried out between the long connection server and the equipment through a MQTT (Message Queuing Telemetry Transport) protocol.
In one embodiment, a low carbon park carbon management and control system based on intelligent tracking of carbon accounting is characterized in that: comprises a range determining module, a model establishing module, an accounting module and a management and control module,
the range determining module is used for determining a low-carbon park checking range based on carbon emission in the low-carbon park and carbon emission conditions counteracted by vegetation;
the model building module is used for collecting carbon source and carbon sink data in the checking range and building a dynamic carbon emission prediction model of the low-carbon park;
the accounting module is used for collecting carbon footprints in the low-carbon park and carrying out full-cycle full-field carbon accounting of the low-carbon park in combination with the prediction model;
and the management and control module is used for carrying out intelligent carbon management and control on the low-carbon park by combining the Internet of things according to the model prediction result.
The above unit modules may be embedded in hardware or independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above units.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure of which may be as shown in fig. 2. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The computer program, when executed by the processor, implements a low-carbon park carbon management method based on intelligent tracking of carbon accounting. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
determining a low-carbon park checking range based on carbon emission in the low-carbon park and carbon emission conditions counteracted by vegetation;
collecting carbon source and carbon sink data in the checking range, and establishing a dynamic carbon emission prediction model of the low-carbon park;
collecting carbon footprint in the low-carbon park, and carrying out full-cycle full-field carbon accounting of the low-carbon park in combination with a prediction model;
and according to the model prediction result, the intelligent carbon management and control are carried out on the low-carbon park by combining the Internet of things.
Example 2
Referring to fig. 1-2, for one embodiment of the present invention, a method and a system for controlling carbon in a low-carbon park based on intelligent tracking of carbon accounting are provided, and in order to verify the beneficial effects of the present invention, a scientific demonstration is performed through a comparative experiment.
Taking a small-sized park in a city, which is being modified with low carbon, as an example, the park occupies 12.3 square meters and the volume ratio is about 0.9, wherein the area occupied by offices and apartments is relatively high, which reaches 51.85%. The highest building layer height in the garden is 13 layers, and is a mixed enclosure structure and is provided with heat preservation.
Taking 2021 as an example, the energy and resource consumption of the campus are shown in the table:
the electric power of the park is uniformly supplied by municipal electric power, 565.24 kilowatts of electric power is purchased from a social power grid in the whole year 2021, and the important power consumption systems comprise lighting, air conditioning, heating, comprehensive service systems and other office equipment. According to the calculation formula of indirect carbon emission of domestic electricity, the carbon dioxide emission amount generated by the electricity consumption of the park is 5392370.52kg.
The municipal heating power is used for heating, the heating cost is calculated according to the heating area, the 2021-year heating cost is 258.58 ten thousand yuan, and the municipal heating power 25017.02GJ is calculated according to 47 yuan/GJ. The campus municipal thermal carbon footprint 2724.67t was calculated according to the carbon emission calculation formula.
The natural gas in park is used in tea-bath furnace and canteen, and is mainly used in apartment bathroom and drinking boiled water. The 2021 campus consumed 327678Nm of natural gas in total 3 . And 715648.75kg of park gas carbon footprint according to a carbon emission calculation formula.
Gasoline and diesel are used in park traffic systems. Gasoline 31229L and diesel 12153L are consumed in total in 2021. According to the carbon emission calculation formula, 93218.565kg of park gasoline carbon footprint and 39981.327kg of diesel carbon footprint.
The campus consumed 20.7337 ten thousand m3 of tap water in 2021. Tap water consumption is mainly divided into three parts: the water is domestic water, water replenishing of a heating system and greening water. 181423.41kg of water carbon footprint is used according to a carbon emission calculation formula.
The individual carbon footprints mainly comprise carbon footprints generated by personnel in a park in daily life and work according to the needs of the personnel in clothing, food, lines and the like, and the carbon footprints are calculated according to the known carbon emission factors of various consumption in aspects of clothing, food, transportation and the like according to different habits and specific needs of life and work of each person. The average individual consumer carbon footprint produced by each individual per year is about 1404.21kg, with the traffic carbon footprint occupying a greater weight of about 515.12kg, and the next paper and diet produced carbon footprints are also greater, with about 258.3kg of paper and about 313.69kg of diet. The total annual personal consumer carbon footprint is 5788.96 tons.
According to the accounting result, the total amount of carbon dioxide generated by the operation of the campus in the whole year is about 9145.31t, the total amount of carbon dioxide related to daily life work of individuals in the whole year is about 5788.96t, and the carbon dioxide generated by the operation of the university of Beijing in the western city of the architecture university in the whole year is about 14933.27t, namely, the carbon footprint generated by the operation accounts for 61.2 percent of the total amount, and the individual carbon footprint accounts for 38.8 percent.
The green land area of the garden is about 18183.58 square meters, the annual carbon absorption amount of the green land per hectare city is 1.66t according to the calculation of the carbon sink of the green land, and the carbon sink calculation formula of the garden can be obtained by taking the carbon absorption amount as a carbon emission factor, and the annual absorption total amount of the carbon footprint of the plant of the garden is=1.66 t/h square meter a (carbon sink factor) x 1.82h square meter (green land area of the garden) =3.02 t.
Meanwhile, according to calculation, the carbon pressure index of the park is 24.73, and the park is at the fourth grade of carbon safety grade, namely unsafe, which indicates that the park has serious carbon red characters so far and has great pressure on carbon management. It follows that the requirement of this park is far from a low carbon park, and the low carbon park construction work needs to be developed from two ways of controlling carbon sources and increasing carbon sinks, namely, reducing the emission of greenhouse gases and increasing the absorption of greenhouse gases.
It should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention may be modified or substituted without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered in the scope of the claims of the present invention.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein. The solutions in the embodiments of the present application may be implemented in various computer languages, for example, object-oriented programming language Java, and an transliterated scripting language JavaScript, etc.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the spirit or scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims and the equivalents thereof, the present application is intended to cover such modifications and variations.
Claims (10)
1. A low-carbon park carbon management and control method based on intelligent tracking of carbon accounting is characterized in that: comprising the steps of (a) a step of,
determining a low-carbon park checking range based on carbon emission in the low-carbon park and carbon emission conditions counteracted by vegetation;
collecting carbon source and carbon sink data in the checking range, and establishing a dynamic carbon emission prediction model of the low-carbon park;
collecting carbon footprints in the low-carbon park, and carrying out full-cycle full-field carbon accounting on the low-carbon park in combination with the prediction model;
and according to the model prediction result, the intelligent carbon management and control are carried out on the low-carbon park by combining the Internet of things.
2. The low-carbon park carbon management method based on intelligent tracking of carbon accounting of claim 1, wherein: the checking range comprises an area in the form of a single functional building including offices, hotels, residences and hospitals in the low-carbon park as the checking range;
the checking range is divided into carbon sources and carbon sinks, the carbon sources are carbon footprints generated by individuals and related to park operation, the park operation comprises consumption of various energy sources and resources and other quantifiable consumable contents, and the carbon sinks comprise green plants in the park range.
3. The low-carbon park carbon management method based on intelligent tracking of carbon accounting of claim 2, wherein: the low carbon park carbon emission dynamic prediction model includes,
preprocessing the data collected in the low-carbon park, wherein the preprocessing comprises partial autocorrelation function analysis, sliding window processing and standardization;
establishing a dynamic prediction model of carbon emission in a low-carbon park by combining a convolutional neural network;
substituting the preprocessed data into a dynamic prediction model of the carbon emission of the low-carbon park for convolutional neural network training, and performing model evaluation on the trained model.
4. The low-carbon park carbon management method based on intelligent tracking of carbon accounting of claim 3, wherein: the low carbon park carbon emission dynamic prediction model further comprises,
the loss function is calculated as follows:
wherein X is i Is the ith actual data of the carbon source and carbon sink data in the check range,the i-th predicted data of the carbon source and carbon sink data in the checking range is obtained, and M represents the total training data quantity of the carbon source and carbon sink data in the checking range.
5. The carbon management method for the low-carbon park based on intelligent tracking of carbon accounting of claim 4, wherein: the low carbon park carbon emission dynamic prediction model further comprises,
the calculation method of the model performance evaluation index comprises the following steps:
where yi represents the ith actual data of the carbon source and carbon sink data within the check range,representing a coreChecking the ith predicted data of carbon source and carbon sink data in the range, wherein M represents the total data amount of the carbon source and carbon sink data in the range, and P 1 (i) As the first index, P 2 (i) As the second index, P 3 (i) The larger the value of (c), the poorer the performance of the network.
6. The carbon management method for the low-carbon park based on intelligent tracking of carbon accounting of claim 5, wherein: the carbon accounting includes the steps of,
wherein Z (x) is the total carbon footprint value of the elements affecting the carbon emission of the low-carbon park, x is a specific element of the low-carbon park, f (x) is the carbon footprint factor of the corresponding element, namely the carbon footprint generated by the element, S total The unit is determined by the type of element for the total amount of the element in the low carbon park.
7. The low-carbon park carbon management method based on intelligent tracking of carbon accounting of claim 6, wherein: also included is a method of manufacturing a semiconductor device,
building a three-dimensional model of the carbon flow direction of the single building in the park by adopting a BIM technology, and carrying out visual processing on the data solved by the prediction model;
the method comprises the steps of monitoring air source heat pump, ground source heat pump, boiler, water inlet and outlet temperature, flow, pressure, power, refrigerating and heating capacity of air source heat pump, ground source heat pump, boiler and water pump equipment in a comprehensive cold and heat source system of a park in real time, displaying, storing and calling the generated energy, the consumed energy and related data of photovoltaic equipment and electric equipment in a micro-grid system in different modes at related interfaces;
the collecting of the carbon footprint in the low-carbon park comprises the steps of cleaning part of abnormal original data, settling the cleaned data, and only manually intervening in the case of wrong operation of the irregular meter.
8. Low carbon garden carbon management and control system based on carbon accounting wisdom is tracked, its characterized in that: comprises a range determining module, a model establishing module, an accounting module and a management and control module,
the range determining module is used for determining a low-carbon park checking range based on carbon emission in the low-carbon park and carbon emission conditions counteracted by vegetation;
the model building module is used for collecting carbon source and carbon sink data in the checking range and building a dynamic carbon emission prediction model of the low-carbon park;
the accounting module is used for collecting carbon footprints in the low-carbon park and carrying out full-cycle full-field carbon accounting on the low-carbon park in combination with the prediction model;
and the control module is used for carrying out intelligent carbon control on the low-carbon park by combining the Internet of things according to the model prediction result.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116805249A (en) * | 2023-08-25 | 2023-09-26 | 北京建工环境修复股份有限公司 | City pocket park carbon accounting method, device, computer equipment and medium |
| CN116862118A (en) * | 2023-09-05 | 2023-10-10 | 北京国网信通埃森哲信息技术有限公司 | Carbon emission information generation method, device, electronic equipment and computer readable medium |
| CN117788218A (en) * | 2024-02-23 | 2024-03-29 | 浙电(宁波北仑)智慧能源有限公司 | Carbon emission evaluation method and system |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116805249A (en) * | 2023-08-25 | 2023-09-26 | 北京建工环境修复股份有限公司 | City pocket park carbon accounting method, device, computer equipment and medium |
| CN116862118A (en) * | 2023-09-05 | 2023-10-10 | 北京国网信通埃森哲信息技术有限公司 | Carbon emission information generation method, device, electronic equipment and computer readable medium |
| CN116862118B (en) * | 2023-09-05 | 2023-11-24 | 北京国网信通埃森哲信息技术有限公司 | Carbon emission information generation method, device, electronic equipment and computer readable medium |
| CN117788218A (en) * | 2024-02-23 | 2024-03-29 | 浙电(宁波北仑)智慧能源有限公司 | Carbon emission evaluation method and system |
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