Processes | Free Full-Text | A Review on Intelligent Control Theory and Applications in Process Optimization and Smart Manufacturing …
In the evolving landscape of manufacturing, the integration of intelligent control theory stands as a pivotal advancement, driving both process optimization and the paradigm of smart manufacturing. This review delves into the multifaceted applications of intelligent control theory, emphasizing its role in equipment, operations, and controls …
Internet of things for smart factories in industry 4.0, a review
The Internet of Things (IoT) is playing a significant role in the transformation of traditional factories into smart factories in Industry 4.0 by using network of interconnected devices, sensors, and software to monitor and optimize the production process. Predictive maintenance using the IoT in smart factories can also be used to prevent ...
A review of industrial big data for decision making in intelligent manufacturing …
Big data analysis is a revolutionary leap in traditional data analysis. The characteristics of big data can be summarized and defined by 5 V as shown in Fig. 1 [1], [8], [9]: high capacity (a large amount of data), high speed (data generated and updated at high speed), high diversity (data generated by various sources appear in different forms), high …
IJERPH | Free Full-Text | Intelligent Manufacturing and Carbon …
Driven by the information technology revolution, using artificial intelligence to promote intelligent manufacturing while achieving carbon emissions reduction is increasingly the focus of international attention. Given this, based on the fact that China''s industrial manufacturing is more intelligent, this paper uses industrial …
F5: Artificial Intelligence and Smart Energy
Artificial intelligence (AI) offers a smart way to help society achieve goals in a modern manner by implementing techniques involving predictive analytics, claims analytics, emerging issues detection, survey analysis, etc. AI covers a wide range, but the fields were not formally founded until 1956, at a conference at Dartmouth College, in Hanover.
Research on Key Manufacturing Technologies of New Energy Vehicles Based on Artificial Intelligence …
The production and sales of new energy vehicles have grown rapidly, and important breakthroughs have been made in the research and application of intelligent technologies. This article will study the development trend of new energy vehicle intelligence. First, it will introduce the current status of intelligent development of new energy vehicles, including …
Business Models and Profitability of Energy Storage: …
Rapid growth of intermittent renewable power generation makes the identification of investment opportunities in energy storage and the establishment of their profitability indispensable. Here we first …
The effect of manufacturing intelligence on green innovation …
The influence mechanism of manufacturing intelligence on green innovation performance. As shown in Fig.1, it is assumed that in the initial period, the green innovation performance is at point A on the curve g 0 = f 0 ( b) (the undesirable output is b 0, the desirable output is g 0 ). On the one hand, manufacturing intelligence is conducive …
Smart Manufacturing and Intelligent Manufacturing: A …
The application of intelligence to manufacturing has emerged as a compelling topic for researchers and industries around the world. However, different terminologies, namely smart manufacturing (SM) and intelligent manufacturing (IM), have been applied to what may be broadly characterized as a similar paradigm by some …
Digitalization of Battery Manufacturing: Current Status, Challenges, and Opportunities
Advanced Energy Materials is your prime applied energy journal for research providing solutions to today''s global energy challenges. Abstract As the world races to respond to the diverse and expanding demands for electrochemical energy storage solutions, lithium-ion batteries (LIBs) remain the most advanced technology in the bat...
Sustainability | Free Full-Text | Impact of Intelligent Manufacturing …
Wright first put forward the concept of "intelligent manufacturing," pointing out that intelligent manufacturing is a process in which intelligent robots complete small …
Integration of energy storage system and renewable energy sources based on artificial intelligence: An overview …
ESSs can be broken down into mechanical energy storage, electromagnetic energy storage, electrochemical energy saving, and hydrogen energy storage [84]. The response time of electrochemical energy storage is on the order of milliseconds, the rated power can reach the megawatt level, and the cycle efficiency is …
Energy efficiency of manufacturing systems: A review of energy …
Industrial manufacturing is the largest end-use sector in terms of both final energy demand and greenhouse gas emissions (more than 30% of the total); its increase is rapidly altering the world climate. The need to mitigate the environmental impacts of manufacturing ...
Environmental regulations, green innovation and intelligent upgrading of manufacturing …
The conclusion of the study deepens the relevant research on the intelligent upgrade of manufacturing ... of intellectual development in new energy equipment manufacturing industry . Sci. Technol ...
(PDF) Business Models and Profitability of Energy …
Here we first present a conceptual framework to characterize business models of energy storage and systematically differentiate investment opportunities.
Energies | Free Full-Text | Economic Analysis of the …
The paper makes evident the growing interest of batteries as energy storage systems to improve techno-economic viability of renewable energy systems; provides a comprehensive overview of key …
Energy-saving intelligent manufacturing optimization scheme for new energy …
Energy-saving intelligent manufacturing optimization scheme for new energy vehicles. September 2022. International Journal of Emerging Electric Power Systems 23 (6) September 2022. 23 (6) DOI: 10. ...
Energetics Systems and artificial intelligence: Applications of industry …
AI technologies improves efficiency of energy management, usage, and transparency. •. AI helps utilities provide customers with affordable energy electricity from complex sources in a secure manner. •. Sustainability of industry 4.0 is described from policy recommendations and opportunities.
Exergoeconomic analysis and optimization of wind power hybrid energy storage …
When λ is 1.08–3.23 and n is 100–300 RPM, the η3 of the battery energy storage system is greater than that of the thermal-electric hybrid energy storage system; when λ is 3.23–6.47 and n ...
IJERPH | Free Full-Text | Can Artificial Intelligence Improve the Energy Efficiency of Manufacturing …
Improving energy efficiency is an important way to achieve low-carbon economic development, a common goal of most nations. Based on the comprehensive survey data of enterprises above a designated size in Guangdong Province, this paper studies the impact of artificial intelligence on the energy efficiency of manufacturing …
Analysis of Independent Energy Storage Business Model Based …
As the hottest electric energy storage technology at present, lithium-ion batteries have a good application prospect, and as an independent energy storage power station, its …
Economic Analysis of Customer-side Energy Storage Considering Multiple Profit …
There are many scenarios and profit models for the application of energy storage on the customer side. With the maturity of energy storage technology and the decreasing cost, whether the energy storage on the customer side can achieve profit has become a concern. This paper puts forward an economic analysis method of energy storage …
Sustainability | Free Full-Text | Analysis of Wind Turbine Equipment Failure and Intelligent …
Power generation from wind farms is growing rapidly around the world. In the past decade, wind energy has played an important role in contributing to sustainable development. However, wind turbines are extremely susceptible to component damage under complex environments and over long-term operational cycles, which directly affects …
Review on Energy Consumption Optimization Methods of Typical Discrete Manufacturing Equipment
The equipment energy consumption process is highly nonlinear, while the discrete manufacturing system is random and dynamic in production process with many influencing factors. Therefore, pure mathematical models and traditional machine learning methods are difficult to accurately model the energy consumption process of the …
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At present, the old production management mode has become a stumbling block to the development of enterprises, and the high-end manufacturing technology is still not mature enough. This research mainly discusses the intelligent manufacturing management system based on data mining in artificial intelligence energy-saving resources. The …
Business Models and Profitability of Energy Storage
Rapid growth of intermittent renewable power generation makes the identification of investment opportunities in energy storage and the establishment of their …
