State of the art for tidal currents electric energy resources

2011 ◽  
Author(s):  
Hamed H. H. Aly ◽  
M. E. El-Hawary
Keyword(s):  
State Of The Art ◽  
Electric Energy ◽  
Tidal Currents ◽  
Energy Resources

scholarly journals Recent advances on biomass-fueled microbial fuel cell

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Jamile Mohammadi Moradian ◽  
Zhen Fang ◽  
Yang-Chun Yong
Keyword(s):  
Fuel Cell ◽  
Microbial Fuel Cell ◽  
Electric Energy ◽  
Clean Energy ◽  
Biomass Energy ◽  
Energy Resources ◽  
Energy Industry ◽  
Renewable Energy Resources ◽  
Future Perspectives ◽  
The Earth

AbstractBiomass is one of the most abundant renewable energy resources on the earth, which is also considered as one of the most promising alternatives to traditional fuel energy. In recent years, microbial fuel cell (MFC) which can directly convert the chemical energy from organic compounds into electric energy has been developed. By using MFC, biomass energy could be directly harvested with the form of electricity, the most convenient, wide-spread, and clean energy. Therefore, MFC was considered as another promising way to harness the sustainable energies in biomass and added new dimension to the biomass energy industry. In this review, the pretreatment methods for biomass towards electricity harvesting with MFC, and the microorganisms utilized in biomass-fueled MFC were summarized. Further, strategies for improving the performance of biomass-fueled MFC as well as future perspectives were highlighted.

scholarly journals Harnessing the Energy of Tidal Currents: State-of-the-Art and Proposal of Use in EV Charging Points

Proceedings ◽  
2018 ◽  
Vol 2 (23) ◽  
pp. 1504
Author(s):  
Aitor Fernández-Jiménez ◽  
Daniel Fernández-de la Cruz ◽  
Jesús Ruiz-Torres ◽  
Jose Luis Perrino-Blanco ◽  
Raúl Jimeno-Almeida
Keyword(s):  
Electric Vehicles ◽  
State Of The Art ◽  
Tidal Currents ◽  
The State ◽  
Floating Platform ◽  
Charging Station ◽  
Floating Platforms ◽  
Ev Charging ◽  
State Of Art

The implantation of floating platforms for the generation of electricity from tidal currents is possible due to the development of new hydrokinetic microturbines. This article presents an analysis of the situation in which the exploitation of tidal currents is nowadays, the state of art of the existing technologies and the principal projects that are currently underway. In addition, it focuses on the different aspects and criteria to consider for building one of these plants. Finally, an installation by floating platform is proposed to supply electricity to a charging station for electric vehicles near the Nalon river (Spain) with a description of it and an analysis of feasibility.

scholarly journals University of Central Punjab (UCP), Lahore, Pakistan‘s Responsibility for SDG‘s and World Complex Challenges Pertaining to its Innovation for Energy and Climate Change Management

2021 ◽  
Vol 1 ◽  
Author(s):  
Javaria Qais Joiya ◽  
Qais Aslam
Keyword(s):  
Fossil Fuels ◽  
State Of The Art ◽  
Clean Energy ◽  
Sewage Water ◽  
Energy Resources ◽  
Modern World ◽  
Total Energy Consumption ◽  
Good Energy ◽  
Climate Change Management ◽  
The One

One of the important essentials of modern living is energy without which modern world cannot survive and therefore depends deeply on energy usages and energy abusage. What is important to be seen is that more than 7.8 billion people on this planet are burning fossil fuels for their daily needs. Therefore, the challenge for the 21st century is how to conserve this ‘good’ energy and how to reduce its transformation into ‘bad’ energy and at the same time enjoy a sustainable lifestyle through modern inventions of science and technology. The problems facing University of Central Punjab, Lahore (UCP) is on the one hand how to minimise the usage of energy resources and secondly, how to move away from using fosil feuls and toward usage of eco-friendly energy sources for achieving sustainability and abiding by the Goal 7 of the SDG (Affordable and Clean Energy). Keeping sustainable development and energy conservation issues in mind, UCP has already in collaboration with M/S Premier Energy embarked upon the renewable solar energy solutions and 1/4th of the total energy consumption of UCP is being produced through state-of-the-art grid-tired solar system. UCP also promotes the sagacious use of water. In UCP, processor treat sewage water. In addition, UCP promotes the use of filtered drinking Processor treat sewage water. Promote the use of filtered water instead of bottled water.

scholarly journals Adjusting Group Communication in Dense Internet of Things Networks with Heterogeneous Energy Sources

2019 ◽  
Author(s):  
Renato Mota ◽  
André Riker ◽  
Denis Rosário
Keyword(s):  
Internet Of Things ◽  
Energy Efficient ◽  
Group Communication ◽  
State Of The Art ◽  
Dynamic Control ◽  
Energy Resources ◽  
Extensive Evaluation ◽  
Message Loss ◽  
Loss Event ◽  
Iot Devices

Internet-of-Things (IoT) environments will have a large number of nodes organized into groups to collect and to disseminate data. In this sense, one of the main challenges in IoT environments is to dynamically manage communication characteristics of IoT devices to decrease congestion, traffic collisions, and excessive data collection, as well as to balance the use of energy resources. In this paper, we introduce an energy-efficient and reliable Self Adjusting group communication of dense IoT Network, called SADIN. It configures the communication settings to ensure a dynamic control of IoT devices considering a comprehensive set of aspects, i.e., traffic loss, event relevance, amount of nodes with renewable batteries, and the number of observers. Specifically, SADIN changes the communication interval, the number of data producers, the reliability level of the network. Extensive evaluation results show that SADIN improves system performance in terms of message loss, energy consumption, and reliability compared to state-of-the-art protocol.

scholarly journals Functioning of the fuel-energy complex of Lviv Oblast in modern conditions

2019 ◽  
Vol 28 (4) ◽  
pp. 717-726
Author(s):  
Irina V. Poruchynska ◽  
Volodymyr I. Poruchynsky ◽  
Andrey N. Slashchuk ◽  
Alla G. Potapova
Keyword(s):  
Alternative Energy ◽  
Electric Energy ◽  
General Characteristic ◽  
Primary Energy ◽  
Technical Condition ◽  
Energy Resources ◽  
Small Scale ◽  
Energy Complex ◽  
Power Stations ◽  
Low Efficiency

The article provides a general characteristic and detailed analysis of the main spheres of the fuel and energy complex of Lviv Oblast. The paper proves the importance of development of the fuel and energy complex for the economy of Lviv Oblast and the welfare of its residents, for it fulfills the needs of the entire economic complex in fuel and energy, creates preconditions for development of various types of production, forms the basis for improvement of energy security of the region and country in general. The peculiarities of development of the fuel and energy complex were determined, the main of which are: large amount of coal extracted by mining, small-scale extraction of peat, absence of major electric power stations and high percentage of incoming electric energy from other regions. The paper gives a characterization of the energy balance in the Oblast, and also structure of reserves of coal mines and oil deposits. Areas promising for extraction of bituminous and brown coal, oil, gas, peat and other fuel resources were determined. The structure of consumption of fuel-energy resources by types of organic fuel was determined. Patterns of consumption of the main types of energy carriers in the region were distinguished. The structure of capacities of alternative energy resources in Lviv Oblast was determined. We determined the reasons for the low efficiency of use of natural resources and peculiarities and problems of the development of the energy sphere in the region, the main of which are the unsatisfactory technical condition of the objects of the fuel and energy complex, non-effective system of management in the sphere, absence of new sources of providing primary energy resources. We suggested recommendations on increasing the efficiency of functioning of the fuel and energy complex on the basis of use of non-traditional types of energy sources, i.e.: energy of sun, wind, biomass of solid fuel and others, which would allow natural and financial resources to be saved.

scholarly journals Improving Electric Energy Consumption Prediction Using CNN and Bi-LSTM

2019 ◽  
Vol 9 (20) ◽  
pp. 4237 ◽  
Author(s):  
Tuong Le ◽  
Minh Thanh Vo ◽  
Bay Vo ◽  
Eenjun Hwang ◽  
Seungmin Rho ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Performance Metrics ◽  
Short Term Memory ◽  
State Of The Art ◽  
Electric Energy ◽  
The State ◽  
Short Term ◽  
Electric Energy Consumption ◽  
Energy Consumption Prediction ◽  
Consumption Prediction

The electric energy consumption prediction (EECP) is an essential and complex task in intelligent power management system. EECP plays a significant role in drawing up a national energy development policy. Therefore, this study proposes an Electric Energy Consumption Prediction model utilizing the combination of Convolutional Neural Network (CNN) and Bi-directional Long Short-Term Memory (Bi-LSTM) that is named EECP-CBL model to predict electric energy consumption. In this framework, two CNNs in the first module extract the important information from several variables in the individual household electric power consumption (IHEPC) dataset. Then, Bi-LSTM module with two Bi-LSTM layers uses the above information as well as the trends of time series in two directions including the forward and backward states to make predictions. The obtained values in the Bi-LSTM module will be passed to the last module that consists of two fully connected layers for finally predicting the electric energy consumption in the future. The experiments were conducted to compare the prediction performances of the proposed model and the state-of-the-art models for the IHEPC dataset with several variants. The experimental results indicate that EECP-CBL framework outperforms the state-of-the-art approaches in terms of several performance metrics for electric energy consumption prediction on several variations of IHEPC dataset in real-time, short-term, medium-term and long-term timespans.

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