A novel spectral beam splitting photovoltaic/thermal hybrid system based on semi-transparent solar cell with serrated groove structure for co-generation of electricity and high-grade thermal energy

2021 ◽  
pp. 115049
Author(s):  
Huaxu Liang ◽  
Ronghua Su ◽  
Weiming Huang ◽  
Ziming Cheng ◽  
Fuqiang Wang ◽  
...  
Keyword(s):  
Solar Cell ◽  
Hybrid System ◽  
Thermal Energy ◽  
High Grade ◽  
Beam Splitting ◽  
Groove Structure

Simultaneous water and electricity harvesting from low-grade heat by coupling membrane distiller and electrokinetic power generator

2021 ◽  
Author(s):  
Lu Huang ◽  
An He ◽  
Mengyu Miao ◽  
Junxian Pei ◽  
Tong Liu ◽  
...  
Keyword(s):  
Fresh Water ◽  
Hybrid System ◽  
Thermal Energy ◽  
Low Grade ◽  
Clean Water ◽  
Power Generator ◽  
Energy Stress ◽  
Low Grade Heat

Producing clean water and electricity from low-grade thermal energy has attracted escalating interest to alleviate fresh water and energy stress. Here, we present a novel hybrid system by coupling membrane...

scholarly journals Parametric optimum design of an irreversible photon-enhanced thermionic emission solar cell hybrid system

2016 ◽  
Vol 46 (3) ◽  
pp. 225-234 ◽  
Author(s):  
Jian LIN ◽  
ZhiFu HUANG ◽  
BiHong LIN ◽  
ZhiMin YANG
Keyword(s):  
Solar Cell ◽  
Optimum Design ◽  
Hybrid System ◽  
Cell Hybrid ◽  
Thermionic Emission

Performance evaluation and optimization of a perovskite solar cell-thermoelectric generator hybrid system

Energy ◽  
2020 ◽  
Vol 201 ◽  
pp. 117665 ◽  
Author(s):  
Tianjun Liao ◽  
Qijiao He ◽  
Qidong Xu ◽  
Yawen Dai ◽  
Chun Cheng ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Solar Cell ◽  
Hybrid System ◽  
Thermoelectric Generator ◽  
Perovskite Solar Cell

Fuel Reduction Effect of the Solar Cell and Diesel Engine Hybrid System with a Prediction Algorithm of Solar Power Generation

2011 ◽  
pp. 815-839
Author(s):  
Shin’ya Obara
Keyword(s):  
Solar Cell ◽  
Diesel Engine ◽  
Fuel Consumption ◽  
Hybrid System ◽  
Green Energy ◽  
Energy Utilization ◽  
Electricity Production ◽  
Weather Data ◽  
Prediction Algorithm ◽  
Reduction Effect

Green energy utilization technology is an effective means of reducing greenhouse gas emissions. We developed the production-of-electricity prediction algorithm (PAS) of the solar cell. In this algorithm, a layered neural network is made to learn based on past weather data and the operation plan of the hybrid system (proposed system) of a solar cell and a diesel engine generator was examined using this prediction algorithm. In addition, system operation without a electricity-storage facility, and the system with the engine generator operating at 25% or less of battery residual quantity was investigated, and the fuel consumption of each system was measured. Numerical simulation showed that the fuel consumption of the proposed system was modest compared with other operating methods. However, there was a significant difference in the prediction error of the electricity production of the solar cell and the actual value, and the proposed system was shown to be not always superior to others. Moreover, although there are errors in the predicted and actual values using PAS, there is no significant influence in the operation plan of the proposed system in almost all cases.

J0802-3-4 Study of Fuel Cell / Solar Cell Hybrid System for Residential Use

2010 ◽  
Vol 2010.7 (0) ◽  
pp. 225-226
Author(s):  
Shintaro MATSUMOTO ◽  
Yuji ISHIDA ◽  
Tatsuya YOSHIDA ◽  
Masaaki IZUMI
Keyword(s):  
Solar Cell ◽  
Fuel Cell ◽  
Hybrid System ◽  
Cell Hybrid ◽  
Residential Use
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