Carbon flow monitoring and safety early warning method and system for integrated energy system in embedded region of gas power plant

Abstract

The invention discloses a carbon flow monitoring and safety early warning method and system for a gas power plant embedded region integrated energy system, and the system comprises a data collection layer, a transmission layer, a processing layer, and an application layer. Carbon flow data acquisition, transmission, processing, calculation and monitoring of multi-energy systems such as heat supply, cold supply, photovoltaic power generation and gas-steam combined cycle power generation are realized. The method comprises the steps of data acquisition, transmission, processing and calculation, and monitoring and analysis. According to the method, comprehensive, accurate and real-time monitoring of the carbon flow of the multi-energy system is achieved, the energy coupling relation is processed, the emission factors are dynamically updated, visual, early warning and decision support is provided, and support is provided for low-carbon operation of the comprehensive energy power plant.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of carbon flow monitoring of integrated energy systems, and particularly relates to a carbon flow monitoring system and method for a multi-energy system of an integrated energy power plant including heating, cooling, photovoltaic power generation and gas-steam combined cycle power generation. BACKGROUND

[0002] Under the promotion of the "double carbon" target, carbon flow monitoring of integrated energy power plants becomes critical. The existing technology has the following shortcomings: There is a lack of real-time carbon flow monitoring systems for multi-energy systems (heating, cooling, photovoltaic power generation, and gas-steam combined cycle power generation), making it difficult to fully grasp the carbon emission and absorption situation at each link.

[0003] The energy coupling relationship is complex, and traditional monitoring methods cannot achieve precise monitoring and data processing for scenarios such as gas consumption splitting and photovoltaic power self-use.

[0004] There is a lack of dynamic updating mechanism for emission factors, which cannot adapt to changes in energy structure, resulting in insufficient accuracy of monitoring data.

[0005] Data monitoring is scattered, and integration and collaborative monitoring of multi-energy system data have not been achieved, making it difficult to meet the carbon flow monitoring needs of integrated energy power plants. SUMMARY

[0006] OBJECTIVE To provide a carbon flow monitoring and safety warning method and system for a gas power plant embedded in a regional integrated energy system, which realizes real-time and precise monitoring of the carbon flow of multi-energy systems, handles complex energy coupling relationships, dynamically updates emission factors, integrates multi-source data, and provides data support and decision-making basis for low-carbon operation and optimization of integrated energy power plants.

[0007] TECHNICAL SCHEME

[0008] The system includes a data acquisition layer, a transmission layer, a processing layer, and an application layer, as follows:

[0009] Multi-energy metering unit: install gas flow meters, energy distribution sensors in gas-steam combined cycle power generation / heating links to distinguish gas consumption for power generation / heating; install electric energy consumption meters, heat flow meters, and temperature sensors in the heating system to collect heating electric energy consumption and pipe network heat loss; install electric energy consumption meters (electric refrigeration) and gas flow meters (gas absorption refrigeration) in the cooling system; install power generation metering tables and operation and maintenance electric energy consumption tables in the photovoltaic power generation system; deploy carbon capture system monitoring equipment and vegetation carbon sequestration monitoring devices.

[0010] Sensor network: contains various sensors such as pressure, temperature, and flow to collect system operating parameters in real time.

[0011] Transmission layer Intelligent gateway: Aggregates and preliminarily processes energy consumption data and operating parameters of the data acquisition layer.

[0012] Communication network: Uses wired (RS485 line, etc.) and wireless communication methods to transmit data to the processing layer, supporting bidirectional data transmission.

[0013] Processing layer Data center: Cleans, integrates, and stores transmitted data, and establishes a unified data model.

[0014] Carbon flow calculation module: Performs emission calculation based on carbon flow emission calculation formulas (gas-steam combined cycle power generation / heating carbon emissions, heating system auxiliary emissions, cooling system carbon emissions, and total system auxiliary emissions); performs absorption calculation based on carbon flow absorption calculation formulas (photovoltaic power generation carbon absorption, carbon capture system absorption, and other absorption items); and calculates comprehensive net carbon flow: E 净 =(E 燃机 +E 供热辅助 +E 供冷 +E 总辅助 )−(A 光伏 +A 捕获 +A 植被 ).

[0015] Factor management module: Dynamically manages photovoltaics (according to component type and life cycle updates) and the power grid (adjusts and corrects according to regional energy structure).

[0016] Coupling processing module: Processes energy coupling relationships, splits gas consumption according to energy distribution ratios, and calculates indirect emissions reduction after deducting photovoltaic self-use electricity.

[0017] Application layer Carbon flow visualization monitoring unit: Visualizes carbon flow distribution, flow trajectory, and carbon emission and absorption in each link in the form of graphs and charts.

[0018] Early warning and alarm unit: Sets carbon flow thresholds and provides early warning and alarm for abnormal carbon flow states (high carbon emissions, low absorption, etc.).

[0019] Decision support unit: Provides decision suggestions for power plant operation optimization based on carbon flow calculation and analysis results.

[0020] Data report unit: Generates carbon flow-related data reports to support carbon verification and management.

[0021] The method is based on the above monitoring system and includes the following steps:

[0022] Through the multi-energy metering unit and sensor network of the data acquisition layer, real-time collection of gas flow, photovoltaic power generation, system power consumption, heating / cooling energy output, operating parameters, and other data is performed.

[0023] Data transmission step The collected data is transmitted to the data center of the processing layer by the intelligent gateway of the transmission layer and the communication network.

[0024] Data processing and calculation step The data center cleans, integrates, and stores the data.

[0025] The carbon flow calculation module calculates carbon flow emissions, absorption, and comprehensive net carbon flow based on the processed data.

[0026] The factor management module dynamically updates emission factors.

[0027] The coupling processing module processes energy coupling relationships.

[0028] Carbon flow monitoring and analysis step The carbon flow visualization monitoring unit visually displays carbon flow conditions.

[0029] The early warning and alarm unit provides early warning and alarm for abnormal carbon flow states.

[0030] The decision support unit provides decision suggestions based on calculation and analysis results.

[0031] The data report unit generates data reports. BRIEF DESCRIPTION OF DRAWINGS

[0032] Figure 1: Integrated energy power plant multi-energy system carbon flow monitoring system architecture diagram: shows the four-layer architecture of the system data collection layer, transmission layer, processing layer, and application layer, as well as the core components and data flow direction.

[0033] Figure 2: Integrated energy power plant multi-energy system carbon flow monitoring method flowchart: presents the complete process from data collection, transmission, processing and calculation to carbon flow monitoring and analysis, and result output.

[0034] Figure 3: Integrated energy power plant multi-energy system carbon flow monitoring layered architecture and technology process correspondence diagram: shows the four-layer architecture of the data perception layer, data transmission layer, carbon flow calculation and processing layer, and monitoring application layer, including core equipment (gas / heat / electricity carbon meter group, photovoltaic power generation metering device, intelligent power distribution gateway, multi-energy carbon flow calculation model, etc.), transmission methods (Modbus, RS485 wired transmission, wireless communication), and technology processes (factor updating, coupling processing, early warning instruction output), embodying the "monitoring - calculation - early warning - decision" full-link carbon flow management logic. DETAILED DESCRIPTION

[0035] A high-precision gas flow meter is installed in the gas pipeline of the integrated energy power plant, an energy distribution sensor is installed in the power generation and heating branch pipeline, and the power generation / heating gas consumption is collected separately; an electric energy meter is installed in the circulating pump, heat exchanger and other equipment of the heating system, a temperature sensor and a heat flow meter are deployed in the heating pipeline network, and the heating electric energy consumption and pipeline network heat loss data are collected; an electric energy meter is installed in the electric refrigeration unit and terminal equipment of the cooling system, and a gas flow meter is installed in the gas absorption type refrigeration equipment; a power generation metering table and operation and maintenance equipment electric energy meter (such as a cleaning pump, a monitoring system electric energy meter) are installed in the photovoltaic power generation system; a carbon capture system monitoring device (for monitoring carbon capture amount) and a vegetation carbon fixation monitoring device are deployed in the plant; an intelligent gateway and a communication network device are installed to realize data aggregation and transmission; a data platform and a carbon flow monitoring software platform are built to realize data processing, calculation, monitoring and analysis functions.

[0036] Data acquisition and transmission The data acquisition layer collects real-time data such as gas flow, photovoltaic power generation, system electric energy consumption, heating / cooling energy output, pressure, temperature, etc.; the intelligent gateway performs preliminary processing on the collected data (such as data verification and format conversion), and transmits the data to the data platform through the communication network.

[0037] Data processing and calculation The data platform cleanses the transmitted data (removes noise data and abnormal data), integrates data from different sources, establishes a unified data model, and stores it.

[0038] The carbon flow calculation module calculates according to the following formula: Gas-steam combined cycle power generation / heating carbon emissions: (distinguish between power generation and heating gas consumption, split according to energy distribution ratio, and then substitute into the formula E 燃机 =Q 燃气 ×ρ×LHV×C×12 / 44); Heating system auxiliary emissions: substitute into the formula E 供热辅助 =E 供热电 ×EF 电 +Q 散热 ×η 排放 (Pipeline network heat loss is converted into additional fuel consumption as needed); Cooling system carbon emissions: substitute into the formula E 供冷 =E 制冷电 ×EF 电 for electric refrigeration, and substitute into the formula E E 吸收式制冷 =Q 制冷燃气 ×ρ×LHV×C××12 / 44; Total system auxiliary emissions: formula E 总辅助 =(E 发电电 +E 供热电+E 制冷电 +E 光伏运维电 )×EF 电 ; Photovoltaic power generation carbon absorption: substitute formula A 光伏 =E 捕获 photovoltaic × (EF−EF 燃机 photovoltaic) (update according to photovoltaic module type, life cycle, and regional energy structure adjustment); Carbon capture system absorption (if present): substitute formula A 吸收式制冷 =(E 捕获 photovoltaic × η 净 ; Net carbon flow: substitute formula E 燃机 =(E 热辅助 supply + E 供冷 photovoltaic + E 总辅助 )−(A 光伏 + A 捕获 + A 植被 ).

[0039] The factor management module dynamically updates the emission factor according to the photovoltaic module type, life cycle, and regional energy structure changes.

[0040] The coupling processing module processes the energy coupling relationship: when heat / cold supply adopts "electricity determines heat" or "heat determines electricity" mode, split the gas consumption according to the actual energy distribution ratio; when photovoltaic power is preferentially self-used, calculate the indirect emission reduction after deducting E 光伏 with the self-use part of the electricity consumption.

[0041] Carbon flow monitoring and analysis The carbon flow visualization monitoring unit visually displays the carbon emissions and absorption of each energy link, the flow trajectory of carbon flow in the system, such as the distribution of carbon flow from gas input to electricity, heat, and cold output.

[0042] The early warning alarm unit sets a carbon flow threshold, and when it detects abnormal increase in carbon emissions, abnormal decrease in carbon absorption, or net carbon flow exceeding the set range, it sends an early warning alarm signal and locates the abnormal link.

[0043] The decision support unit provides decision suggestions for energy distribution, equipment operation parameter adjustment, etc. of the power plant based on the carbon flow calculation and analysis results combined with the power plant operation target, such as adjusting the operation load of gas turbine units, optimizing the self-use proportion of photovoltaic power, etc. to reduce carbon emissions and increase carbon absorption.

[0044] The data report unit generates carbon flow related data reports, including carbon emissions and absorption data of each link, net carbon flow data, emission factor data, etc., supporting carbon verification, carbon management of the power plant, and reporting to the superior management department.

[0045] Advantages and positive effects of the invention Comprehensive integration monitoring: Achieve comprehensive integration monitoring of carbon flow for multi-energy systems of integrated energy power plants including heating, cooling, photovoltaic power generation, and gas-steam combined cycle power generation, covering all links of emission and absorption.

[0046] Accurate data processing: Through energy coupling relationship processing and dynamic updating of emission factors, ensure the accuracy of carbon flow calculation and monitoring data.

[0047] Real-time dynamic monitoring: Real-time acquisition, transmission, and processing of data to achieve real-time dynamic monitoring of carbon flow and timely detection of abnormal situations.

[0048] Intelligent decision support: Provide carbon flow visualization, early warning and alarm, and decision support to provide strong support for low-carbon operation and optimization of power plants and help achieve the "double carbon" goal.

Claims

1. A method and system for carbon flow monitoring and safety early warning in a gas-fired power plant embedded in a regional integrated energy system, characterized in that, include: Data acquisition layer: Includes multi-energy metering units and sensor networks, used to collect data such as gas flow, photovoltaic power generation, power consumption of each system, heating / cooling energy output and operating parameters in real time; Transport layer: Includes smart gateways and communication networks, used to transmit data from the data acquisition layer to the processing layer; Processing layer: includes a data platform, carbon flow calculation module, factor management module and coupling processing module. The data platform is used for data cleaning, integration and storage. The carbon flow calculation module is used for carbon flow emission calculation, absorption calculation and comprehensive net carbon flow calculation. The factor management module is used for dynamic management of emission factors. The coupling processing module is used for processing energy coupling relationships. Application layer: Includes carbon flow visualization monitoring unit, early warning alarm unit, decision support unit and data reporting unit, used to realize carbon flow visualization monitoring, early warning alarm, decision support and data report generation.

2. The system according to claim 1, characterized in that, The multi-energy metering unit includes: Gas flow meters and energy distribution sensors are used to distinguish the gas consumption for power generation / heating. Electricity consumption meters, heat flow meters, and temperature sensors are used to collect heating power consumption and heat loss from the pipeline network; Electricity consumption meters (electric refrigeration) and gas flow meters (gas absorption refrigeration) are used to collect energy consumption data for cooling systems. Power generation meter and operation and maintenance power consumption meter are used to collect photovoltaic power generation and operation and maintenance power consumption. Carbon capture system monitoring equipment and vegetation carbon sequestration monitoring device are used to collect carbon capture and vegetation carbon sequestration data.

3. The system according to claim 1, characterized in that, In the carbon flow calculation module, the formula for calculating the overall net carbon flow is: E 净 =(E 燃机 +E 供热辅助 +E 供冷 +E 总辅助 )−(A 光伏 +A 捕获 +A 植被 ).

4. The system according to claim 1, characterized in that, The factor management module dynamically updates the photovoltaic EF. 光伏 and power grid EF 电网 , where EF 光伏 Updated by component type and lifespan, EF 电网 It will be revised annually in line with the adjustment of the regional energy structure.

5. A method and system for carbon flow monitoring and safety early warning in a gas-fired power plant embedded in a regional integrated energy system, characterized in that, The system based on any one of claims 1-4 includes the following steps: Data acquisition steps: Real-time data acquisition is conducted through the data acquisition layer, including gas flow rate, photovoltaic power generation, power consumption of each system, heating / cooling energy output, and operating parameters. Data transmission steps: The collected data is transmitted to the data platform of the processing layer using the transport layer; Data processing and calculation steps: The data platform cleans, integrates, and stores the data; the carbon flow calculation module performs carbon flow emission calculation, absorption calculation, and comprehensive net carbon flow calculation; the factor management module dynamically updates emission factors; and the coupling processing module handles energy coupling relationships. Carbon flow monitoring and analysis steps: The application layer enables visualized monitoring of carbon flow, early warning alarms, decision support, and data report generation.

6. The method according to claim 5, characterized in that, The carbon flow emission calculation includes calculating the carbon emissions from gas-fired combined cycle power generation / heating, auxiliary emissions from heating systems, carbon emissions from cooling systems, and auxiliary emissions from the entire system. The carbon flow absorption calculation includes calculating the carbon absorption from photovoltaic power generation, the absorption from carbon capture systems, and other absorption items.

7. The method according to claim 5, characterized in that, The energy coupling relationship processing includes: splitting the gas consumption for heating / cooling according to the actual energy distribution ratio, and combining the photovoltaic self-consumption electricity with E 光伏 Indirect emission reductions are calculated after deduction.

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