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Found 6374 publications

Blockchain technology in the renewable energy sector: A co-word analysis of academic discourse

Publication Name: Heliyon

Publication Date: 2024-04-30

Volume: 10

Issue: 8

Page Range: Unknown

Description:

The transformative potential of blockchain technology in the renewable energy sector is increasingly gaining recognition for its capacity to enhance energy efficiency, enable decentralized trading, and ensure transaction transparency. However, despite its growing importance, there exists a significant knowledge gap in the holistic understanding of its integration and impact within this sector. Addressing this gap, the current study employs a pioneering approach, marking it as the first comprehensive bibliometric analysis in this field. We have systematically examined 390 journal articles from the Web of Science database, covering the period from 2017 through the end of February 2024, to map the current landscape and thematic trajectories of blockchain technology in renewable energy. The findings highlight several critical thematic areas, including blockchain's integration with smart grids, its role in electric vehicle integration, and its application in sustainable urban energy systems. These themes not only illustrate the diverse applications of blockchain but also its substantial potential to revolutionize energy systems. This study not only fills a crucial gap in existing literature but also sets a precedent for future interdisciplinary research in this domain, bridging theoretical insights with practical applications to fully harness the potential of blockchain in the renewable energy sector.

Open Access: Yes

DOI: 10.1016/j.heliyon.2024.e29600

Vibration and acceleration levels of multimodal container shipping physical environment

Publication Name: Packaging Technology and Science

Publication Date: 2019-06-01

Volume: 32

Issue: 6

Page Range: 269-277

Description:

In global supply chains, multimodal transportation plays a dominant role in worldwide shipping. The rail, truck, and vessel combination is the most commonly used mode for non-time sensitive shipments between continents. This study focused on measuring the transportation environment effects (vibration and acceleration levels) in 40-foot ISO container shipments using multiple modes of transport, originating in Hungary and destined for Mexico, India, and China over several weeks. The study also measured multimodal shipping routes without vessel transportation to China over Trans-Siberian and Trans-Manchurian railway lines. The transshipments and handling events in container hubs and terminals were separately analyzed. The results show the comparison of vibration intensity (in PSD) of different route conditions between various continents, and the possibility of acceleration levels during transshipments and handling events. The measured data show that extreme acceleration levels in vertical direction (9.37 G) occur while containers are handled in a seaport, and in lateral (4.45 G) and longitudinal (5.55 G) directions while they are transshipped by truck to rail container terminals. The rail vibration levels in Russia and China showed a lower intensity in the frequency range of 1 to 15 Hz, and higher between 15 and 200 Hz than in Europe; the lowest vibration levels occurred when the containers traveled on the sea, and truck vibration levels were very similar to previous research and ISTA protocols.

Open Access: Yes

DOI: 10.1002/pts.2434

Transforming Industry through E-Commerce: Lessons from the COVID-19 Pandemic

Publication Name: Journal of Cultural Analysis and Social Change

Publication Date: 2025-11-25

Volume: 10

Issue: 3

Page Range: 1064-1074

Description:

The aim of this paper was to explore the 4.0 industrial revolution and globalization and their role in e-commerce as well as the current challenges facing e-commerce represented by the Coronavirus. The industry had gone through revolutions that contributed to its development, thus creating distinct and qualitative moves in it, and the matter had begun to shift from physical activity to mental creativity. Data for this study were obtained from existing literatures on industrial revolution of Coronavirus. The methodology heavily relied on existing previous literature on the subject being dealt with. The findings indicate that the economy has been affected and closely related to the results of the 4.0 industrial revolution, whether in a trade directly such as electronic commerce or by monitoring trade-related operations, analysing big data, and finding appropriate solutions. Moreover, the accomplishments achieved through them contributed significantly to increasing the benefit to people as the previous revolutions contributed at the time.

Open Access: Yes

DOI: 10.64753/jcasc.v10i3.2547

Extraction System Efficiency Assessment Based on Workplace Airspace and Emissions Measurements

Publication Name: Chemical Engineering Transactions

Publication Date: 2024-01-01

Volume: 114

Issue: Unknown

Page Range: 757-762

Description:

Protecting air quality is crucial to protecting human health and the environment. In addition to minimising the concentration of pollutants in the atmosphere, reducing exposure to chemical agents in the workplace air is becoming increasingly important. The research will demonstrate the importance and effectiveness of technological extraction ventilation systems used in industry through a workplace air quality measurement in a 3D printer laboratory. In our study, the emissions of air pollutants into the environment were measured by emission measurements and the impact area was determined by calculation. It was clear from the results that the concentrations of methanol and phenol were below the detection limit, so this technology does not produce these substances in concentrations that can be measured. However, in the case of e-caprolactam, a typical air pollutant in several 3D printing technologies, an exceedance of the limit was observed in the phase without the extraction system. The limit value was exceeded by 1.91 %, which represents an increased exposure. The tests carried out clearly demonstrated that concentrations in the workplace airspace were reduced by a tenth in all cases after the installation of the extraction system. The installed, activated carbon filtration system captured 90 % of the volatile organic compounds. The effectiveness of the system is greatly enhanced by the design of the disposal strategy, the use of Best Available Technology (BAT) and the filter incorporated in the extraction system.

Open Access: Yes

DOI: 10.3303/CET24114127

A multi-level technique for the Method of Fundamental Solutions without regularization and desingularization

Publication Name: Engineering Analysis with Boundary Elements

Publication Date: 2019-06-01

Volume: 103

Issue: Unknown

Page Range: 145-159

Description:

The traditional Method of Fundamental Solutions is revisited, based on a special strategy of defining the external source points. Unlike the classical Method of Fundamental Solutions, the sources are categorized into groups; the density of the spatial distribution of the sources decreases rapidly far from the boundary. On each group, the original problem is discretized using the same set of boundary collocation points. Such groups of sources are constructed in a fully automated way by the quadtree/octtree algorithm. The discretized problems are solved in the sense of least squares. A simple multi-level method is built up, using the (conjugate) gradient iteration as a smoothing procedure. The resulting method significantly reduces the computational complexity. Moreover, the problem of evaluation singular integrals as well as the problem of severely ill-conditioned matrices are avoided. The method is generalized to 3D axisymmetric potential problems as well.

Open Access: Yes

DOI: 10.1016/j.enganabound.2019.03.006

Possibilities for further development of the driver's seat in the case of a non-conventional seating positions

Publication Name: Heliyon

Publication Date: 2024-04-15

Volume: 10

Issue: 7

Page Range: Unknown

Description:

The seat significantly contributes to driving safety. Ergonomic seats prevent physical strain and fatigue, so attention and concentration do not drop so quickly, which helps to avoid accidents. The article generally presents the development of seats used in cars and the current areas of use of rotatable seats. Furthermore, it gives an overview of the possible seating positions for fully autonomous vehicles. The article leads the reader through the crash test simulation focusing on the model used. Subsequently, the article presents the research results so far and the possibilities for further development of the driver's seat. The article highlights the change in the driver's movement kinematics as a crucial observation. This change significantly increases the risk of serious injury. In frontal collisions, the modified seat consistently demonstrates results below the specified limit. It is important to note that there are injury values that increase, but these are not a problem because they remain below the limit. In the case of a side collision, the aim was less to reduce injury values and more to better coordinate the kinematics of the passenger's movement during the accident. It can be concluded that this is achievable with the modified seat, as the passenger's movements are notably more predictable and coordinated under these circumstances.

Open Access: Yes

DOI: 10.1016/j.heliyon.2024.e28909

Weed surveys and weed mapping in Europe: State of the art and future tasks

Publication Name: Crop Protection

Publication Date: 2020-03-01

Volume: 129

Issue: Unknown

Page Range: Unknown

Description:

Long-term national European weed surveys, large scale classical phytosociological programs and camera-based documentation systems lead to results which can be documented in form of maps. Comparisons of these visual representations of relative weed positions can be used for the prediction of changing weed spectra and of plant biodiversity changes. Statistical methods connected with mapping software are used for the analysis of environmental factors and of farm managing practices influencing the occurrence of weeds. Maps produced by sensor-driven weed detection devices still differ considerably from maps produced via classical phytosociological approaches. Computer algorithms may allow the precise identification of some weeds in camera images. The present technical solutions are, however, still far from those achieved by experienced botanists. Many weed detection tools based on algorithms are not able to distinguish between closely related weeds yet. A few European countries have a long tradition of surveying weeds in major crops by traditional tools. Various software packages are employed for the analysis, documentation and visualisation of survey results. Large scale comprehensive maps including the infestation of crops over different countries are, however, often biased as not every national research group uses the same methods for the assessment of weed infestation. The ranking of the most common species seems, however, to allow comparable conclusions. The recognition of trends in spectrum changes can only be derived from long term studies as we see it. Our review reflects discussions within the Weed Mapping Working Group of the European Weed Research Society over the last ten years. We try to identify new research trends and to respond accordingly with new research projects. What we see today is a shift from traditional mapping approaches towards the use of digital devices as for example in precision farming projects. Another issue of increasing importance is the mapping of herbicide resistant biotypes.

Open Access: Yes

DOI: 10.1016/j.cropro.2019.105010

Optimizing Foamed Bitumen Bound Asphalt Mixture Design Using Neural Network

Publication Name: Periodica Polytechnica Civil Engineering

Publication Date: 2024-09-20

Volume: 68

Issue: 4

Page Range: 1040-1051

Description:

Effective design of bituminous mixes for road pavements requires a robust understanding of their mechanical properties to ensure durability and safety. Conventional experimental methods for assessing these properties are time-consuming and costly. To address this challenge, advanced machine learning techniques have gained prominence in predicting bituminous mix behaviour. In this study, we focus on predicting Marshall Stability (MS) and Flow (MF) of foamed bitumen bound asphalt pavements using essential input parameters: Temperature, Foam Content, Expansion Ratio, and Half-Life. Leveraging a neural network model, accurate prediction equations and surface analyses were developed for optimizing pavement design. Furthermore, integration equations are also introduced to enhance the accuracy of the methodology. Sensitivity and Parametric Analyses provide insights into parameter impacts, and R-squared measures model goodness of fit. The research work presented not only streamlines pavement design but also advances the understanding of intricate input-output relationships in bituminous mixtures.

Open Access: Yes

DOI: 10.3311/PPci.23898

Investigation of Tooth Friction Conditions of Electric Vehicle Gearbox with Plastic Gears †

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

Earlier, I created a mathematical model of the gear unit, in which the value of the tooth friction was determined during precalculation and then entered into the model as a constant parameter. In this paper, I investigate how much viscosity oil is required at different operating points for a single-stage gear unit with plastic gears to function properly and how this affects the tooth friction and, hence, the loss of energy in the gear unit. Once the investigations are complete, the tooth friction is determined using an automated MATLAB function, which allows the tooth friction to be re-determined at each operating point. This allows for a more accurate strength dimensioning of the plastic gears in the gear unit and a more accurate model describing the gear unit’s behaviour.

Open Access: Yes

DOI: 10.3390/engproc2024079085