An experimental study of power generation and storage using a flexible piezoelectric device

2012 ◽  
Vol 39 (1-4) ◽  
pp. 603-608 ◽  
Author(s):  
Yoshikazu Tanaka ◽  
Keitaro Matsumura ◽  
Hidemi Mutsuda
Keyword(s):  
Power Generation ◽  
Experimental Study ◽  
Piezoelectric Device ◽  
And Storage

scholarly journals Open-source multi-year power generation, consumption, and storage data in a microgrid

2021 ◽  
Vol 13 (2) ◽  
pp. 025301
Author(s):  
Sushil Silwal ◽  
Colton Mullican ◽  
Yi-An Chen ◽  
Avik Ghosh ◽  
John Dilliott ◽  
...  
Keyword(s):  
Power Generation ◽  
Open Source ◽  
And Storage

Experimental study on small power generation energy storage device based on pneumatic motor and compressed air

2021 ◽  
Vol 234 ◽  
pp. 113949
Author(s):  
Yonghong Xu ◽  
Hongguang Zhang ◽  
Fubin Yang ◽  
Liang Tong ◽  
Yifan Yang ◽  
...  
Keyword(s):  
Power Generation ◽  
Experimental Study ◽  
Energy Storage ◽  
Compressed Air ◽  
Storage Device ◽  
Energy Storage Device ◽  
Small Power ◽  
Pneumatic Motor

ENERGY EFFICIENCY EVALUATION FOR A “GREEN” POWER GENERATION PROCESS WITH MINIMUM EFFORT ON CARBON DIOXIDE CAPTURE AND STORAGE

2012 ◽  
Vol 199 (12) ◽  
pp. 1642-1651 ◽  
Author(s):  
Suttichai Assabumrungrat ◽  
Janewit Phromprasit ◽  
Siriporn Boonkrue ◽  
Worapon Kiatkittipong ◽  
Wisitsree Wiyaratn ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Power Generation ◽  
Energy Efficiency ◽  
Carbon Dioxide Capture ◽  
Efficiency Evaluation ◽  
Generation Process ◽  
Green Power ◽  
Energy Efficiency Evaluation ◽  
And Storage

scholarly journals Solar Tower Power Plants of Molten Salt External Receivers in Algeria: Analysis of Direct Normal Irradiation on Performance

2018 ◽  
Vol 8 (8) ◽  
pp. 1221 ◽  
Author(s):  
Abdelkader Rouibah ◽  
Djamel Benazzouz ◽  
Rahmani Kouider ◽  
Awf Al-Kassir ◽  
Justo García-Sanz-Calcedo ◽  
...  
Keyword(s):  
Power Generation ◽  
Energy Storage ◽  
Thermal Energy ◽  
Greenhouse Effect ◽  
Energy Production ◽  
Power Plants ◽  
Storage Capacity ◽  
Real Data ◽  
Multiple Power ◽  
And Storage

The increase of solar energy production has become a solution to meet the demand of electricity and reduce the greenhouse effect worldwide. This paper aims to determine the performance and viability of direct normal irradiation of three solar tower power plants in Algeria, to be installed in the highlands and the Sahara (Béchar, El Oued, and Djelfa regions). The performance of the plants was obtained through a system advisor model simulator. It used real data gathered from appropriate meteorological files. A relationship between the solar multiple (SM), power generation, and thermal energy storage (TES) hours was observed. The results showed that the optimal heliostat field corresponds to 1.8 SM and 2 TES hours in Béchar, 1.2 SM and 2 TES hours for El Oued, and 1.5 SM and 4 TES hours for Djelfa. This study shows that there is an interesting relationship between the solar multiple, power generation, and storage capacity.

scholarly journals Prediction of Wave Power Generation Using a Convolutional Neural Network with Multiple Inputs

Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 2097 ◽  
Author(s):  
Chenhua Ni ◽  
Xiandong Ma
Keyword(s):  
Neural Network ◽  
Power Generation ◽  
Convolutional Neural Network ◽  
Wave Height ◽  
Regression Models ◽  
Cost Effective ◽  
Wave Power ◽  
Marine Energy ◽  
Artificial Network ◽  
And Storage

Successful development of a marine wave energy converter (WEC) relies strongly on the development of the power generation device, which needs to be efficient and cost-effective. An innovative multi-input approach based on the Convolutional Neural Network (CNN) is investigated to predict the power generation of a WEC system using a double-buoy oscillating body device (OBD). The results from the experimental data show that the proposed multi-input CNN performs much better at predicting results compared with the conventional artificial network and regression models. Through the power generation analysis of this double-buoy OBD, it shows that the power output has a positive correlation with the wave height when it is higher than 0.2 m, which becomes even stronger if the wave height is higher than 0.6 m. Furthermore, the proposed approach associated with the CNN algorithm in this study can potentially detect the changes that could be due to presence of anomalies and therefore be used for condition monitoring and fault diagnosis of marine energy converters. The results are also able to facilitate controlling of the electricity balance among energy conversion, wave power produced and storage.

Sign in / Sign up

Export Citation Format

Share Document