Energy efficiency in industry 4.0: assessing the potential of industry 4.0 to achieve 2030 decarbonisation targets

This paper aims to analyze mechanisms such as the Energy management systems approach in industry 4.0. The paper is a review of techniques for optimizing energy consumption with energy efficiency, advanced metering infrastructure and rational and efficient use of energy to reduce the pollution as well as to strengthen Industry 4.0 models and the monitoring and management opportunities that exist with the implementation of this models in Colombia.

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Energy Efficiency in the Industry 4.0 Era: Attributes of Teal Organisations

Energies ◽

10.3390/en14206776 ◽

2021 ◽

Vol 14 (20) ◽

pp. 6776

Author(s):

Radosław Miśkiewicz ◽

Agnieszka Rzepka ◽

Ryszard Borowiecki ◽

Zbigniew Olesińki

Keyword(s):

Energy Efficiency ◽

Regression Analysis ◽

Corporate Culture ◽

Industry 4.0 ◽

Information Technologies ◽

Online Survey ◽

Rapid Development ◽

Energy Sector ◽

Paired Samples ◽

Free Development

The rapid development of innovations in the industry 4.0 era led to new or evolved companies. At the same time, the accepted concept of carbon-free development requires building a new philosophy for the company’s management. The paper aims to analyse the key attributes of teal organisations (as a new type of a company) from the energy sector (as a core sector for carbon-free transformation). The paper summarises the core features of teal organisations and their attributes. In the paper, three hypotheses are tested: innovations and technologies are the most used attributes among teal organisations from the energy sector; organisational and corporate culture are the least used attributes among teal organisations from the energy sector; in the energy sector, the companies that have the attributes of teal organisations primarily work in countries with a high level of innovation and information technologies (as a core indicator of Industry 4.0) and economic development. For testing the hypotheses, the following methods are applied: a Friedman test, a paired-samples t-test, the principal components analysis, a correlation analysis, an ANOVA test (analysis of variance), and a regression analysis. The online survey generates the data for analysis. The object of the research is the workers from the energy sector companies from five countries (Poland, Ukraine, Georgia, Slovakia, and Romania). The findings of the statistical analysis confirm the first and second hypotheses. Companies in the energy sector mostly use innovations and technologies as the attributes of teal organisations. The regression analysis results show that an increase of 1% of patent applications leads to an increased energy efficiency of 1.29%. Additionally, the implemented features of teal organisations in the energy sector allow for improving the country’s energy efficiency, which, as a consequence, then boosts carbon-free development.

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Technology Enabled Manufacturing Industry Practices – Industry 4.0

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.d1052.1284s419 ◽

2020 ◽

Vol 8 (4S4) ◽

pp. 160-162

Keyword(s):

Energy Efficiency ◽

Virtual Reality ◽

Augmented Reality ◽

Industry 4.0 ◽

Manufacturing Industry ◽

Emerging Technologies ◽

Manufacturing Industries ◽

Paradigm Shifts ◽

Vital Part ◽

Manufacturing Quality

The main aim of this research is to identify the scope for matured and emerging technologies to improve the quality, productivity, energy efficiency and sustainability. Industry 4.0 encourages the manufacturing industries to embrace conducive technologies. The paradigm shifts with OEMs manufacturing quality levels naturally elevate the expectations from the supplier industries. This demands more from the technology and R&D firms to deliver. Simulation technologies are becoming vital part of the industry practices. Augmented Reality and Virtual Reality based simulations are being analyzed here with its utility in manufacturing industries.

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A remote MQTT-based data monitoring system for energy efficiency in industrial environments

VETOR - Revista de Ciências Exatas e Engenharias ◽

10.14295/vetor.v31i2.13726 ◽

2021 ◽

Vol 31 (2) ◽

pp. 25-35

Author(s):

Guilherme Balduino Lopes ◽

Renato Ferreira Fernandes Junior.

Keyword(s):

Energy Efficiency ◽

Industry 4.0 ◽

New Technologies ◽

Electrical Network ◽

Industrial Plant ◽

Production Lines ◽

Artificial Intelligence System ◽

Intelligence System ◽

High Yields ◽

New Industry

The concept of the new industry seeks not only to improve production processes, but also to bring solutions to environmental problems, in addition to reducing resource consumption, while maintaining high yields. This constant search for process optimization has been the main agent in the development of new technologies aimed at improving the performance of industrial production lines. Thus, this article proposes to raise some important concepts of Industry 4.0, and present the development of a remote IoT-based system that, through MQTT and Modbus protocols, will be responsible for monitoring the entire electrical network of an industrial plant, sending its data to the cloud, where it can be monitored and analyzed by the industry management sector or even by an artificial intelligence system, in a simple and effective way, in real time and from anywhere, in order to assist in decision-making focused on energy efficiency.

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Improvement of Energy Efficiency and Control Performance of Cooling System Fan Applied to Industry 4.0 Data Center

Electronics ◽

10.3390/electronics8050582 ◽

2019 ◽

Vol 8 (5) ◽

pp. 582 ◽

Cited By ~ 2

Author(s):

Jae-Sub Ko ◽

Jun-Ho Huh ◽

Jong-Chan Kim

Keyword(s):

Energy Efficiency ◽

Industry 4.0 ◽

Data Centers ◽

Fuzzy Controller ◽

Cooling System ◽

Pi Controller ◽

Control Performance ◽

Cooling Systems ◽

Proportional Integral ◽

And Performance

This paper proposes a control method to improve the energy efficiency and performance of cooling fans used for cooling. In Industry 4.0, a large number of digital data are used, and a large number of data centers are created to handle these data. These data centers consist of information technology (IT) equipment, power systems, and cooling systems. The cooling system is essential to prevent failure and malfunction of the IT equipment, which consumes a considerable amount of energy. This paper proposes a method to reduce the energy used in such cooling systems and to improve the temperature control performance. This paper proposes an fuzzy proportional integral(FPI) controller that controls the input value of the proportional integral(PI) controller by the fuzzy controller according to the operation state, a VFPI (Variable Fuzzy Proportional Integral) controller that adjusts the gain value of the fuzzy controller, and a variable fuzzy proportion integration-variable limit (VFPI-VL) controller that adjusts the limit value of the fuzzy controller’s output value. These controllers control the fan applied to the cooling system and compare the energy consumed and temperature control performance. When the PI controller consumes 100% of the power consumed, the FPI is 50.5%, the VFPI controller is 44.3%, and the VFPI-VL is 32.6%. The power consumption is greatly reduced. In addition, the VFPI-VL controller is the lowest in temperature variation, which improves the energy efficiency and performance of the cooling system using a fan. The methods presented in this paper can not only be applied to fans for cooling, but also to variable speed systems for various purposes and improvement of performance and efficiency can be expected.

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Study of the Architecture of a Smart City

Proceedings ◽

10.3390/proceedings2231485 ◽

2018 ◽

Vol 2 (23) ◽

pp. 1485 ◽

Cited By ~ 4

Author(s):

Jose Antonio Rodriguez ◽

Francisco Javier Fernandez ◽

Pablo Arboleya

Keyword(s):

Energy Efficiency ◽

Internet Of Things ◽

Smart City ◽

Industry 4.0 ◽

Smart Cities ◽

Point Of View ◽

Great Weight ◽

Digital Revolution ◽

The City

In recent years, we are experiencing a digital revolution in many contexts, the digitalization of industry (Industry 4.0), the digitalization of public administrations, the digitalization of people and things (Internet of Things) and, of course, the digitization of cities under the name of Smart Cities. Although the digitization process is based on 3 main pillars: data, talent and innovation. It is necessary to make a mixture of these 3 pillars in different percentages to achieve digitization. In the case of cities, great weight lies in the technology deployed that makes up the architecture of the city. This technology is very incipient and lacks standards that allow interoperability between different devices. This article tries to show a picture of the possible architectures existing today from the point of view of sustainability and energy efficiency.

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