Search results for "Energy engineering"
showing 10 items of 1099 documents
Marketing Research Regarding the Usage of Online Social Networking Sites by High School Students
2013
This paper aims to present the concept of online social networks (OSN) and its evolution in the world of business as well as several important advantages and disadvantages of using online social networking sites. We are presenting a quantitative research on the main reasons for using online networking sites by high schools students from the several counties of Romania. The authors will present the results of the research which underline: the main activities undertaken by students with this new communication tool, the average number of friends the students have and the selection criteria for them as well as the influence level of OSN sites on the life and activity (school and private) of the…
Researchers' Age, Gender and Professional Status as Indicators of the Twitter Perception in Science Dissemination
2019
Resumen: El objetivo de este estudio es evaluar el grado de satisfacción e interés que presenta el personal de investigación de las universidades españolas por las redes sociales como Twitter. Para ello, se han examinado los datos obtenidos mediante una encuesta online a unos 600 investigadores proactivos de la divulgación científica de 20 universidades españolas (2016). Para el análisis de los datos, se utilizó el test de independencia de Kruskal-Wallis. Según los resultados, dos de cada tres (65.4%) investigadores percibieron beneficios después de haber realizado la comunicación de sus resultados de investigación y una gran mayoría (84.7%) no percibieron ningún perjuicio. En relación con …
Assessment of Energy and Economic Effectiveness of Photovoltaic Systems Operating in a Dense Urban Context
2013
A methodology that permits testing the level of integration of the photovoltaic technology in urban areas is presented. The percentage of coverage of the electricity demand of grid-connected photovoltaic systems installed on the roofs of buildings were investigated in a district of the city of Palermo (Sicily). After classifying roofs according to their shape, orientation and pitch by means of satellite images provided by Google Earth, the ratio of the productivity of the PV systems and the consumption of electricity of the households was analysed. The results of the energy assessment have been screened considering the economic feasibility of grid-connected photovoltaic systems: the energy …
Signal Spectrum-Based Machine Learning Approach for Fault Prediction and Maintenance of Electrical Machines
2022
Industrial revolution 4.0 has enabled the advent of new technological advancements, including the introduction of information technology with physical devices. The implementation of information technology in industrial applications has helped streamline industrial processes and make them more cost-efficient. This combination of information technology and physical devices gave birth to smart devices, which opened up a new research area known as the Internet of Things (IoT). This has enabled researchers to help reduce downtime and maintenance costs by applying condition monitoring on electrical machines utilizing machine learning algorithms. Although the industry is trying to move from schedu…
Image Processing and Measurement of the Bubble Properties in a Bubbling Fluidized Bed Reactor
2022
The efficiency of a fluidized bed reactor depends on the bed fluid dynamic behavior, which is significantly influenced by the bubble properties. This work investigates the bubble properties of a bubbling fluidized bed reactor using computational particle fluid dynamic (CPFD) simulations and electrical capacitance tomography (ECT) measurements. The two-dimensional images (along the reactor horizontal and vertical planes) of the fluidized bed are obtained from the CPFD simulations at different operating conditions. The CPFD model was developed in a commercial CPFD software Barracuda Virtual Reactor 20.0.1. The bubble behavior and bed fluidization behavior are characterized form the bubble pro…
Enabling a just energy transition through solidarity in research
2023
A just energy transition is as much about acknowledging and acting on the socio-material needs of marginalised classes and groups as about informing inclusive and deliberative policy-making towards more equitable energy futures. In democracies, energy social scientists hold a privileged position and special responsibility to do both, thus offering critical support to decision-makers and practitioners. We articulate the challenges and opportunities for energy social scientists to embody solidarity in their research orientation and practices. First, we articulate the need to repoliticise, redemocratise, and negotiate a multiplicity of energy transitions. This includes recognising and engaging…
Adaptive ML-based technique for renewable energy system power forecasting in hybrid PV-Wind farms power conversion systems
2022
Large scale integration of renewable energy system with classical electrical power generation system requires a precise balance to maintain and optimize the supply–demand limitations in power grids operations. For this purpose, accurate forecasting is needed from wind energy conversion systems (WECS) and solar power plants (SPPs). This daunting task has limits with long-short term and precise term forecasting due to the highly random nature of environmental conditions. This paper offers a hybrid variational decomposition model (HVDM) as a revolutionary composite deep learning-based evolutionary technique for accurate power production forecasting in microgrid farms. The objective is to obtai…
Placement analysis of combined renewable and conventional distributed energy resources within a radial distribution network
2022
<abstract> <p>System islanding, relay tripping, and reverse power flow-like issues in the distribution network are all caused by randomly placed distributed energy resources. To minimize such problems, distributed energy resource (DER) optimal placement in the radial distribution network (RDN) is essential to reduce power loss and enhance the voltage profile. When placing DERs, consideration of constraints like size, location, number, type, and power factor (PF) should be considered. For optimal placement, renewable and nonrenewable DERs are considered. The effects of different types and PFs of DER placements have been tested on the IEEE 33 bus RDN to satisfy all limitations. Us…
Condition classification of fibre ropes during cyclic bend over sheave testing using machine learning
2022
Fibre ropes have been shown to be a viable alternative to steel wire rope for offshore lifting operations. Visual inspection remains a common method of fibre rope condition monitoring and has the potential to be further automated by machine learning. This would provide a valuable aid to current inspection frameworks to make more accurate decisions on recertification or retirement of fibre ropes in operational use. Three different machine learning algorithms: decision tree, random forest and support vector machine are compared to classical statistical approaches such as logistic regression, k-nearest neighbours and Naïve-Bayes for condition classification for fibre ropes under cyclic-bend-ov…
Optimal power tracking for autonomous demand side management of electric vehicles
2022
Increasing electric vehicle penetration leads to undesirable peaks in power if no proper coordination in charging is implemented. We tested the feasibility of electric vehicles acting as flexible demands responding to power signals to minimize the system peaks. The proposed hierarchical autonomous demand side management algorithm is formulated as an optimal power tracking problem. The distribution grid operator determines a power signal for filling the valleys in the non-electric vehicle load profile using the electric vehicle demand flexibility and sends it to all electric vehicle controllers. After receiving the control signal, each electric vehicle controller re-scales it to the expected…