scholarly journals Experimental research on thermoelectric application characteristics of thermobattery

2021 ◽  
Vol 2045 (1) ◽  
pp. 012033
Author(s):  
L X Xiao ◽  
Y T He ◽  
L Li

Abstract In this work, experimental research was carried out to investigate the conversion output characteristics of thermobattery. The results showed that under the same temperature difference, the open-circuit voltage of the thermobattery showed a tendency of first increasing and then decreasing with the increase of hot end temperature. Under hot-end temperature of 95°C, the output open-circuit voltage reached the maximum. In addition, there was a maximum output point for the thermobattery. Regarding the thermobattery (TGM-287-1.4-1.5), its output power reached the maximum when the load resistance was 9Ω. This research provides a theoretical and experimental basis for the optimal design of thermoelectric power generation system.

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Min Zhang ◽  
Junlei Wang

A rigid circular cylinder with two piezoelectric beams attached on has been tested through vortex-induced vibrations (VIV) and wake-induced vibrations (WIV) by installing a big cylinder fixed upstream, in order to study the influence of the different flow-induced vibrations (FIV) types. The VIV test shows that the output voltage increases with the increases of load resistance; an optimal load resistance exists for the maximum output power. The WIV test shows that the vibration of the small cylinder is controlled by the vortex frequency of the large one. There is an optimal gap of the cylinders that can obtain the maximum output voltage and power. For a same energy harvesting device, WIV has higher power generation capacity; then the piezoelectric output characteristics can be effectively improved.


2012 ◽  
Vol 51 (10S) ◽  
pp. 10NF08 ◽  
Author(s):  
Takahiro Kato ◽  
Takuma Miyake ◽  
Daisuke Tashima ◽  
Tatsuya Sakoda ◽  
Masahisa Otsubo ◽  
...  

Author(s):  
Min Ding ◽  
◽  
Yi Tang ◽  
Weihua Cao ◽  
Zhili Tan ◽  
...  

This study focuses on maximum power point tracking (MPPT) control for photovoltaic (PV) power generation systems under partial shading conditions. A mathematic model of the partially shaded solar cell is built. Then, the output characteristics of the partial-shade array are analyzed. Based on the model of the PV battery and the concept of the average-state switch cycle, an average-state mathematical model of the PV power generation system using a boost circuit for the realization circuit is established. A sliding mode controller based on the integral sliding mode function is designed to realize MPPT in the PV power generation system. Finally, simulations in MATLAB/Simulink confirm the functionality and performance of the proposed controller.


2012 ◽  
Vol 424-425 ◽  
pp. 586-591
Author(s):  
Zhang Quan Wang ◽  
You Rong Chen ◽  
Yue Ruan

According to the equivalent circuit of single solar cell and the V-I equation of PV cell based on physical mechanism, a simulation model of single solar cell is established. According to this model and structure feature of PV array, the Thevenin circuit equivalent transform theory is used. The control relationship between single solar cell and PV array is given. Then a simple modeling method for arbitrary power level PV array is proposed. To verify the model effectiveness, a Pspice simulation model is established. Output characteristics of the model and its feasibility in PV power generation system are simulated. Simulation results show that the output characteristics of simulation model are in good consistency with actual PV array, and the model can be effectively applied in simulation of PV power generation system. The modeling method is simple and can be used for simulation on some control algorithms of PV power generation system


Author(s):  
Yingying Zhao ◽  
Aimin An ◽  
Yifan Xu ◽  
Qianqian Wang ◽  
Minmin Wang

AbstractBecause of system constraints caused by the external environment and grid faults, the conventional maximum power point tracking (MPPT) and inverter control methods of a PV power generation system cannot achieve optimal power output. They can also lead to misjudgments and poor dynamic performance. To address these issues, this paper proposes a new MPPT method of PV modules based on model predictive control (MPC) and a finite control set model predictive current control (FCS-MPCC) of an inverter. Using the identification model of PV arrays, the module-based MPC controller is designed, and maximum output power is achieved by coordinating the optimal combination of spectral wavelength and module temperature. An FCS-MPCC algorithm is then designed to predict the inverter current under different voltage vectors, the optimal voltage vector is selected according to the optimal value function, and the corresponding optimal switching state is applied to power semiconductor devices of the inverter. The MPPT performance of the MPC controller and the responses of the inverter under different constraints are verified, and the steady-state and dynamic control effects of the inverter using FCS-MPCC are compared with the traditional feedforward decoupling PI control in Matlab/Simulink. The results show that MPC has better tracking performance under constraints, and the system has faster and more accurate dynamic response and flexibility than conventional PI control.


2011 ◽  
Vol 1325 ◽  
Author(s):  
Kazuaki Yazawa ◽  
Ali Shakouri

ABSTRACTA recently developed generic model of a thermoelectric power generation system suggests a promising future for cost effective and scalable power generation. The model is based on co-optimizing the thermoelectric module together with the heat sink. Using this model, efficiency at maximum output power is calculated. It is shown that this approaches the Curzon-Ahlborn limit at very large Z values which is consistent with thermodynamic systems with irreversible heat engines. However, this happens only when the thermal resistances of the thermoelectric device with hot and cold heat sinks exactly match. For asymmetrical thermal resistances, the efficiency at maximum output power is different. This is consistent with the very recent results for the thermodynamic engines. Finally, we study the impact of lowering the thermal conductivity of the thermoelectric material or increasing its power factor and how these affect the performance of the thermoelectric power generation system.


Author(s):  
L Zhang ◽  
GZ Tang ◽  
ZB Liao ◽  
HC Shang

Circumferential impulse microturbine is a key component of the micro-electro-mechanical system and provides power to the latter. An innovative concept of microturbine power generation system was presented, and prototype improved circumferential impulse microturbine power generation systems were developed, and their output performances were tested. It is validated that the system can operate at a high speed in a dynamic equilibrium state using rolling bearings, and it is found that the output power and rotational speed of a six-blade turbine hollow-cup coil structure is higher than the output power and rotational speed of a six-blade turbine iron-core coil structure. The maximum output power of the eight-blade turbine hollow-cup coil power generation system is 1.1 W, and the maximum turbine rotational speed is 55,000 r/min. The maximum output power of the eight-blade turbine hollow-cup coil system increases up to 25% when compared to the six-blade turbine hollow-cup coil system and increases up to 83% when compared to the six-blade turbine iron-core coil system.


2014 ◽  
Vol 605 ◽  
pp. 645-648
Author(s):  
D. Kossivakis ◽  
Clio G. Vossou

This paper investigates computationally the performance of a commercially available Seebeck module under open circuit conditions. Seebeck modules, also called thermoelectric generators, are solid state devices used for power generation purposes. One of the most attractive applications of these devices is the exploitation of waste heat vastly available through various environmental or industrial sources. A Seebeck module can be used as a stand-alone device or as a part of a bigger power generation system. Device computational modeling has been performed using ANSYS Workbench (v. 14.0).


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