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In the 2024 Green Manufacturing List, 1,382 national-level green factories, 123 green industrial parks, and 126 green supply chain management enterprises were newly cultivated; the 'Green Factory Gradient Cultivation and Management Measures' issued by the Ministry of Industry and Information Technology promote the formation of a three-tier cultivation mechanism at the national, provincial, and municipal levels, driving local governments to cumulatively cultivate over 16,000 green factories at the provincial and municipal levels; the 'Guiding Opinions on Accelerating the Green Development of the Manufacturing Industry' propose that by 2030, the green and low-carbon transformation of the manufacturing industry will achieve significant results, with the output value of green factories accounting for over 40% of the total manufacturing output value.

Green development is the foundation of high-quality development. Currently, accelerating the green transformation of development methods, strengthening green manufacturing, developing green and low-carbon industries and supply chains, and building a green, low-carbon circular economy system are key focuses for industrial internet enterprises to empower new industrialization development.

What are the pathways for the green transformation of the manufacturing industry?

Data shows that there are 6,430 national-level green factories, accounting for approximately 20% of the total manufacturing output value, covering 34 industries such as electronics, automotive, and chemicals. There are over 370 national-level green industrial parks, with a comprehensive utilization rate of industrial solid waste exceeding 55%.

Although significant progress has been made in the green transformation and upgrading of the manufacturing industry, and a green manufacturing system is gradually taking shape, there are imbalances between regions and industries. The eastern region leads in green manufacturing levels, with Suzhou Industrial Park's energy consumption intensity being only one-third of the national average, while the central and western regions still need to catch up. Although the proportion of high-energy-consuming manufacturing has decreased, the carbon emission intensity of industries such as steel and cement remains high.

GETECH stated in an interview with 'Industrial Internet World' and 'Communication Industry News' that the green transformation of the manufacturing industry requires aiming for a 'full-chain low-carbon ecosystem,' achieving systematic changes from product design to industrial chain collaboration. From five dimensions—green design, manufacturing processes, production processes, carbon emission control, and industrial collaboration—an end-to-end closed loop is formed: 'product energy reduction → process efficiency improvement → production decarbonization → carbon emission visibility → ecological symbiosis.'

Pathway one: Green design innovation tackles high-carbon issues from the source. As the 'starting point' of the value chain, green design achieves systematic carbon reduction through source control and has become a core strategy for sustainable industrial development.

Pathway two: Process revolution breaks the 'high-precision, high-energy consumption' definition to create a new manufacturing paradigm. Targeted optimization of production processes and the application of AI technology in production workflows enable energy saving and carbon reduction across the entire production process. Combined with AI dynamic intelligent control, it redefines the energy efficiency limits of high-precision manufacturing.

Pathway three: From single-point breakthroughs to system collaboration, unlocking the energy efficiency potential of the entire chain. Based on the energy consumption characteristics and current status of high-end manufacturing, targeted energy-saving technological transformations and the introduction of new energy sources optimize and adjust production processes, improving energy efficiency.

Pathway four: Building a carbon management system to implement carbon footprint tracing. Using digital technology, a carbon management system is constructed, applying cutting-edge technologies for decarbonization and carbon reduction, while establishing a product carbon footprint management platform to achieve carbon footprint information tracing.

Pathway five: From individual factories to full-chain ecosystems, achieving zero-carbon operations. Through infrastructure innovation and supply chain collaboration, zero-carbon practices are extended from factories to the entire industrial chain.

What are the challenges?

With the large-scale application of technologies such as AI algorithm models and Multi-Agent systems, the manufacturing industry will achieve full-chain energy-carbon collaborative management, promoting green manufacturing to transition from single-point breakthroughs to full industrial chain ecological transformation, unleashing the potential for high-quality development.

GETECH pointed out that some challenges remain in the practice of green manufacturing.

First, energy management is extensive, and digitalization and intelligence levels are low. 90% of manufacturing enterprises are at intelligentization level two or below in energy digitalization, relying mainly on manual meter reading and local digital monitoring, achieving only single-point energy savings and lacking plant-wide dynamic optimization capabilities.

Second, data fragmentation is severe. Energy-carbon data, production data, and equipment data are scattered across independent systems such as MES and ERP, with insufficient real-time monitoring coverage, leading to high error rates in carbon emission accounting. Energy-saving efforts are mainly focused on single scenarios, lacking plant-wide energy management perspectives, and energy and carbon cannot be interconnected. Group and factory management are disjointed. Carbon asset management from a group perspective is disconnected from energy consumption control at the factory level, lacking unified coordination. Energy-saving, carbon management, and ESG departments operate separately, making it difficult to effectively share information and achieve maximum synergistic benefits.

Third, carbon management lags behind transformation needs. Post-event accounting dominates; currently, carbon management in large manufacturing is generally post-event accounting management, making it difficult to address carbon management and continuous optimization during production processes, and challenging to achieve 'production equals carbon reduction.'

Fourth, the benefits of energy-saving and carbon reduction solutions are unclear. Enterprises mainly engage in campaign-style energy saving and突击审核式降碳, with no significant reduction in single-product energy consumption or carbon emissions, lacking motivation for continuous investment in sustainable energy saving and carbon reduction.

GETECH believes that under the guidance of the 'dual carbon' goals, the national policy system is accelerating its improvement, providing systematic support for the industry. The deep integration of greenization with digitalization and intelligence has become a core pathway. AI and big data technologies are breaking through traditional energy efficiency bottlenecks and addressing challenges such as extensive energy management and data fragmentation by optimizing production processes and building carbon footprint tracing systems.

GETECH Assists Manufacturing Industry's Green Transformation

It is understood that GETECH's multi-agent AI Energy-Carbon Brain Platform can, based on the overall sustainable development goals and current energy-carbon management status of enterprises, address the actual needs of industrial scenarios for energy and carbon. Through cutting-edge technologies such as Multi-Agent large models, AI algorithms, big data, and cloud computing, it drives 'prediction + optimization + control' from three dimensions: energy management optimization, enterprise carbon management, and energy-saving and carbon reduction optimization of public auxiliary equipment like HVAC and air compression in production processes.

GETECH坦言 that in assisting the green transformation of the manufacturing industry, GETECH primarily adopts the following key technologies and management methods.

In the product design phase, relying on AI intelligent algorithms and carbon emission models, an LCA full-lifecycle modeling and prediction system is built. By conducting carbon footprint modeling and carbon emission simulations for product structure, materials, and process paths during the early design stage, high-carbon环节 are accurately identified, and design schemes are optimized in advance to achieve low-carbon design.

In the manufacturing process phase, integrating digital and AI technologies, an energy consumption modeling and real-time monitoring system is constructed. Focusing on energy介质 like water, electricity, and gas,全过程管控 and comprehensive energy efficiency analysis are conducted, intelligently identifying high-energy consumption scenarios, potential energy waste, and inefficiencies, helping to precisely挖掘节能优化空间, providing targeted energy-saving optimization and transformation suggestions, and promoting process path reconstruction and system energy efficiency upgrades.

In the production manufacturing phase, focusing on energy supply-side structure optimization and energy consumption-side dual-dimensional energy efficiency improvement, a systematic energy-saving and carbon reduction path is formed. On the energy supply side, the energy structure is adjusted, and digital technologies are used to manage new energy facilities like wind, solar, storage, and charging, improving energy operation and调度 efficiency. On the energy consumption side, technical energy saving and management energy saving are pursued in parallel to enhance energy efficiency. For technical energy saving, combining AI algorithms and industry know-how mechanism models, intelligent optimization control is applied to high-energy consumption systems like HVAC and air compression to achieve optimal energy efficiency; for management energy saving, based on full-process data integration and business process打通, an intelligent energy-carbon assessment system and lean management mechanism are built to support continuous energy-saving improvements and碳绩效提升.

Taking key high-energy consumption scenarios in high-end manufacturing as an example, in HVAC systems, AI models + mechanism models break through single high-energy consumption scenario energy saving. Combining AI models and mechanism model algorithms, the optimal operation strategy for computer rooms is simulated, and real-time instructions are issued to achieve optimal and efficient room operation. Real-time monitoring,联动优化, and energy efficiency improvement are achieved, enhancing management efficiency.

Additionally, in management, big data and AI technologies help enterprises enhance both organizational carbon and product carbon management capabilities, building an intelligent, full-process覆盖 carbon management system.

For organizational carbon, a carbon emission data management system is built to achieve intelligent collection, dynamic monitoring, and精算核查 of emission data, identifying key carbon sources and assisting in formulating emission reduction paths. Based on AI prediction models, carbon peak and carbon neutrality scenarios are simulated to help enterprises set scientific carbon emission control targets.

For product carbon, combining material and process parameters, a product emission reduction database is built. AI assists in comparing carbon emissions of different design paths and manufacturing schemes, providing customized emission reduction strategies and design recommendations, helping products achieve全生命周期 carbon optimal configuration.

In GETECH's view, through the dual drive of 'dual carbon consulting + digital platform,'全产业链 zero-carbon operations are empowered. Relying on deep industry consulting capabilities and combining operational端降碳 and supply chain collaboration experience, supply chain enterprises are assisted in identifying emission reduction paths and formulating transformation plans. Meanwhile, a supplier information platform and carbon chain database are built, constructing a green supply chain system to achieve product carbon footprint tracking and full-chain collaborative carbon reduction implementation.

Reported by: Hu Yuan

Edited by: Hu Yuan

Guidance: Xinwen