As a critical support platform for the industrial green and low-carbon transformation, industrial parks play an essential role in driving the achievement of dual carbon goals and addressing international green trade barriers. The product carbon footprint serves as a quantitative tool for measuring greenhouse gas emissions throughout the product lifecycle, providing a scientific basis for identifying and prioritizing links with significant emission reduction potential within industrial parks. In response to the inadequacies in data sharing and traceability mechanisms, a comprehensive framework and four-step implementation strategy based on the integration of identity resolution and blockchain technology for product carbon footprint in the park have been proposed. This includes a six-layer core technology architecture along with a proposed roadmap for future advancement. This approach has the potential to comprehensively enhance foundational capabilities for green development of industrial parks.
This paper explores the green development trends and key technologies of Network Functions Virtualization (NFV) cloud computing, analyzing challenges such as high power consumption of domestic servers, limited energy-saving technologies, and outdated data center infrastructure. To address these problems, solutions including green low-carbon equipment, efficient cooling design, intelligent energy consumption management, and liquid cooling technology are proposed to enhance energy efficiency and reduce carbon emissions. NFV cloud computing must further optimize energy management and drive deep adoption of green technologies to support emerging technologies such as 6G and AI while contributing to national dual carbon goals.
Against the backdrop of the new round of industrial revolution and energy revolution, greenization has become a necessary condition for industrial development. This paper aims to analyze the influence mechanism of greenization on industrial development and propose path strategies for the transformation of China’s industrial greenization. Focusing on the influences of greenization on industrial growth, it analyzes the mechanism of how greenization affects industrial growth, as well as the opportunities and challenges that greenization brings to China’s industrial growth. From three aspects which are development ideas, development paths, and policy suggestions, it proposes paths and countermeasures for China’s industrial green transformation.
This paper proposes an electric vehicle charging demand prediction model based on mobile operator location intelligence, and designs a dynamic matching strategy oriented toward renewable energy. By integrating operator location data, renewable energy generation data, and charging stations data, this paper constructs a long short-term memory network model that can accurately predict regional charging demands. The test results show that this model significantly outperforms traditional methods in prediction accuracy. And the dynamic matching strategy effectively increases the local consumption ratio of renewable energy and optimizes users' charging waiting time to a certain extent. This research provides new insights for refined planning and operation of charging stations, and offers technical support for promoting clean energy applications in the transportation field.
This paper examines the positive progress of green supply chain management in China’s manufacturing sector from several perspectives, including sustained and strong policy support, gradual improvement of standard systems, the emergence of benchmark enterprises, and significant advancements in green supply chain capacity. However, based on real-world enterprise management practices, several challenges have been identified, such as gaps in management concepts, insufficient capacity building, weak driving factors, inadequate response to international green supply chain requirements, and an underdeveloped green ecosystem. To address these challenges, this paper proposes a range of targeted measures based on China’s specific conditions. These include strengthening standardization efforts, enhancing multi-dimensional capabilities, leveraging industry benchmarks, improving service support, fostering international cooperation, and cultivating a green ecosystem to elevate the development of green supply chains to a new level.
With the continuous advancement of national and industrial policies, as well as the rapid development of green and low-carbon technologies and industries, China’s manufacturing enterprises have accelerated their green transformation and achieved notable progress. However, certain problems requiring urgent resolution persist. This paper analyzes and summarizes the challenges encountered during the green transformation of China’s manufacturing enterprises in recent years. It proposes suggestions from the perspectives of government, industry, and enterprises, aiming to systematically and structurally promote the green, low-carbon, and high-quality development of China’s manufacturing industry.
Based on the perspective of “source-process-end”, this study takes iron and steel, building materials, petrochemical and chemical industries as the entry point, reviews the status quo of industrial low-carbon technology development, proposes the innovation path of source zero-carbon technology, process carbon-reduction technology and end negative-carbon technology, and draws timetables and roadmaps for low-carbon technology innovation. Focusing on the transformation of energy structure at the source, this study proposes to build a multi-energy complementary system in stages. According to the characteristics of the industry, this study puts forward the phased promotion route of each industry. The phased scale application path of CCUS is also cleared. This paper hopes to provide direction guidance and technical reference for green and low-carbon development of industry in China.
With the intensification of global climate change, energy conservation and carbon reduction have become a global focus. In China, existing public buildings have significant potential for energy conservation and carbon reduction during their operation phase. To enhance the energy efficiency of existing public buildings during operation and promote sustainable development, this paper introduces a study on energy-saving retrofitting of public buildings during the operation phase based on information and communication technology (ICT). The content covers the current status of energy conservation in existing public buildings, the existing problems, and the application of ICT in retrofitting for energy conservation in existing buildings, including data collection through the Internet of Things, energy-saving potential analysis through big data, and optimization strategies using artificial intelligence algorithms. The paper provides a detailed analysis of the advantages of using ICT for energy-saving and carbon-reducing retrofits and presents a benefit analysis of a retrofit case. It offers a new reference path for energy conservation and carbon reduction in the construction sector.
With the rapid advancement of Artificial Intelligence (AI) technology, the demand for intelligent computing power has surged explosively. Nowadays, the energy consumption of intelligent computing centers has become a focal point of attention. This paper deeply analyzes the global and domestic landscape of intelligent computing power, explores the challenges arising from its rapid development in the AI era, such as the sharp increase in energy consumption, the instability of energy supply, and the need to enhance energy utilization efficiency. And this paper proposes corresponding recommendations. The aim is to offer comprehensive and practical guidance for addressing the energy challenges associated with intelligent computing power, thereby promoting the sustainable and coordinated development of the AI industry and the energy sector.
Under the global trend of green and low-carbon development, digital technology has emerged as a pivotal enabler. This paper analyzes the theoretical linkages between digital technology and green low-carbon development, illustrates its applications through case studies in energy, industry, and other sectors, and proposes development strategies encompassing technological innovation and industrial integration. Additionally, it examines existing challenges and corresponding countermeasures. The research demonstrates that digital technology holds significant potential for advancing green and low-carbon development, with overcoming barriers to achieve deep integration representing a critical future direction.
Cloud video conferencing applications have massive demands for computing, storage, and network resources, leading to significant energy consumption. This paper analyzes the characteristics of energy consumption in cloud video conferencing and proposes optimization strategies from the perspectives of infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS) layers, as well as the features of video conferencing applications. Additionally, an energy consumption evaluation scheme is introduced to help enterprises to measure and optimize energy consumption, providing references for relevant research and practical applications.
This paper systematically sorts out the evolution process of low-carbon development of China’s ICT industry, deeply analyzes the characteristics of “small total amount and fast growth” of ICT industry carbon emissions, and comprehensively summarizes the low-carbon development achievements of China’s ICT industry. Under the guidance of the energy-saving and low-carbon development strategy, the ICT industry as a whole has achieved positive results in energy conservation and carbon reduction, and the comprehensive energy consumption has been continuously reduced. Based on the characteristics and development needs of the industry, the low-carbon development pathway and strategy of the ICT industry are proposed from three aspects: clean power, low-carbon technology and carbon management, so as to help the deep integration of digital civilization and ecological civilization construction.
Based on the important role of green supply chain management in the information and communications industry, this paper focuses on research of green supply chain management in view of the dilemmas and challenges of green supply chain management in China’s information and communications industry. It first builds a green supply chain management system, and then puts forward countermeasures and suggestions from different perspectives in order to overcome industrial coordination problems, technological innovation bottlenecks, and policy implementation obstacles. This provides theoretical support and practical reference for promoting the optimization of green supply chain management in China’s information and communications industry.
The realization of the “dual carbon” goals has put forward higher requirements for carbon emission control. At present, carbon emission governance is confronted with practical challenges such as questioning the necessity of legislation, chaotic law enforcement, and difficulties in judicial application. From the perspective of multi-dimensional rule of law, the two dimensions of public law and private law provide a research basis for the legal synergy of carbon emission governance. On the one hand, the application of public laws is indispensable for the governance of carbon emissions in our country. On the other hand, enterprises should be regulated by relevant private law norms during their production and operation, carbon emission rights trading with other enterprises, and the disclosure of carbon emission information. To this end, the realization of the rule of law for carbon emissions should establish an overall collaborative path featuring the coordination of public and private laws, as well as the coordination of laws, policies and technologies.
The coordination of digital and green development is a crucial driving force for cultivating new quality productive forces. The construction of zero-carbon cities also represents an important scenario for achieving regional green and low-carbon development. Firstly, this paper analyzes the current development situation of urban multi-level carbon monitoring. Then, based on the business characteristics and responsible entities of urban carbon monitoring, it summarizes the main business requirements and analyzes key technical features and application models. Finally, it provides suggestions centered on the development of commercial application of urban multi-level carbon monitoring.