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Manual collection and management of carbon emission data is inefficient, making real-time online monitoring impossible; carbon emission data is dispersed and relies on manual record-keeping, making data quality difficult to regulate.
The diversity of energy sources and inconsistent statistical standards lead to large deviations in carbon emission factors. There is no uniform set of calculation rules for auditing and carbon accounting, and manual accounting processes are highly prevalent, leading to heavy workloads and difficulties in ensuring calculation accuracy.
Enterprises lack a clear understanding of their own carbon assets and how to utilize them for value preservation and appreciation; unable to monetize their resources through asset realization or investment.
There is a lack of low-cost decision-making systems and methodologies for carbon reduction evaluations; the direction of energy-saving renovations is unclear, and carbon emission data is specialized and abstract, making it difficult to directly demonstrate the effects of carbon reduction.
By monitoring the carbon emissions in various scenarios across the campus and using scientific accounting models to audit carbon assets, the system helps identify reduction measures, achieving the goals of energy saving, emission reduction, and efficiency improvement, and creating a near-zero carbon benchmark campus. By connecting energy, building, and office subsystems with edge intelligent devices, the system integrates energy consumption data into a digital platform. This helps optimize green energy supply at the source, ensures effective carbon emission monitoring at the terminal, and upgrades intelligent management during the process. Ultimately, it enables near-zero carbon circular economic development and a green living experience. With the goal of achieving carbon neutrality in the campus, a closed-loop system is created that covers data collection of carbon emission sources, emission accounting, asset inventory, and carbon neutrality strategies.
Carbon source data analysis
The system collects, manages, and analyzes energy consumption activity data from the campus, supporting remote intelligent metering, third-party data interfaces, and batch manual imports.
Carbon footprint accounting
Using the national carbon footprint accounting rules and database for key products, the system provides carbon footprint calculations and tracking for product production, supporting enterprises' energy-saving, carbon-reducing, and green transformation efforts.
Carbon emission accounting management
Based on national and industry regulatory requirements, the system builds a carbon emission database that manages various carbon emission calculation factors and carbon emission accounting measurement models. It supports version control and flexible configuration.
Carbon trading management
Through tracking the carbon market and analyzing carbon prices, the system provides decision-making support for enterprise carbon trading, enhancing overall carbon asset risk management capabilities.
Carbon emission statistic analysis
Based on carbon reduction measurement models, the system conducts real-time monitoring and measurement of campus emissions data, generating carbon emission reports, corresponding curves, and multi-dimensional analysis charts.
Carbon report publication
Identify emission units and emission sources, generate regular carbon emission reports according to templates, and timely issue reports of the campus' carbon emission operations.
Comprehensive carbon emission visualization
Based on digital twin technology, a carbon emission database is established through data collection and cleansing. BI tools are used to analyze energy consumption and carbon emissions, enabling comprehensive carbon data management on a single screen.
Carbon neutrality strategies
In response to national carbon peak and carbon neutrality policies, the system supports the campus's carbon management and implementation across multiple dimensions, including green electricity microgrids, monitoring and accounting, energy optimization, and data services.
The intelligent energy O&M control system is primarily designed for supply-side energy users, including photovoltaic stations, wind turbines, energy storage stations, charging stations, integrated energy stations, and multi-energy integration stations. It facilitates intelligent O&M and monitoring across these scenarios, enabling intelligent energy O&M on the regional energy production and supply side.
The campus energy efficiency management system utilizes digital IoT and other intelligent power technologies to provide comprehensive monitoring and management of power distribution, distributed energy equipment, personnel, and environments for users such as enterprises, factories, hospitals, campuses, and buildings. It enables operational monitoring, energy efficiency management, intelligent O&M energy coordination, transfer supply operations, and full lifecycle management of equipment assets. The system also meets the requirements of government and power regulatory authorities for online energy consumption monitoring and demand-side management, contributing to the goals of "carbon peaking and carbon neutrality."
The system collects, identifies, monitors and controls the status information of infrastructure, environment, buildings, safety and other aspects of the campus through the perception and control of equipment and the IoT sensor network. Integrate and interactively manage video surveillance, access control, intelligent lighting, and intrusion safety through the three-dimensional IBMS platform. By establishing end-to-end integration of spatiotemporal access and business/process permissions, the system enables intelligent interaction and control between people, between people and objects, and between objects in specific scenarios, which enhances campus management efficiency and improves the overall environmental experience.
The industrial enterprise energy efficiency management system realizes monitoring, analysis, optimized management, and coordinated control of electrical energy through intelligent sensor control devices and an energy efficiency management cloud service platform. It assists users in improving energy efficiency and ensuring the safety and reliability of power supply, reducing energy costs, actively participating in demand response, and avoiding load limits, thereby delaying capacity increase investments. It promotes energy saving, emission reduction, and electricity substitution, contributing to "carbon peak and carbon neutrality."
The system uses sensing control devices and IoT sensor networks to collect, identify, monitor, and control status information related to infrastructure, environment, buildings, and safety within the campus. Combining 3D modeling and IBMS platform, it creates flexible and intelligent scene solutions. Through the end-to-end connecting the space and time rights with the business and process rights, it implements the intelligent linkage and control between people, people and objects, and objects based on specific scenes to improve the management level of the campus and create a good campus environment experience.