Performance analysis of thermoelectric generator using dc-dc converter with incremental conductance based maximum power point tracking

Simple item page
dc.contributor.authorSsennoga, Twaha
dc.contributor.authorJie, Zhu
dc.contributor.authorYuying, Yan
dc.contributor.authorBo, Li
dc.contributor.authorKuo, Huang
dc.date.accessioned2022-06-17T11:47:51Z
dc.date.available2022-06-17T11:47:51Z
dc.date.issued2017
dc.description.abstractThermoelectric (TE) devices are regarded as alternative and environmentally friendly for harvesting and recovering heat energy. Particularly, thermoelectric generators (TEGs) are used for converting heat into electricity. One of the challenges behind TEG is that the power generated is unstable and therefore needs proper power conditioning mechanism before it is supplied to the load. Moreover, it is necessary to track the maximum power point (MPP) at all times so that maximum power is always extracted from TEG devices. The objective of this work is to analyse the performance of a dc-dc converter with maximum power point tracking (MPPT) enabled by incremental conductance (IC) method. The simplified model is used as the basis for TEG design while the dc-dc boost converter is used for boosting and stabilising the power generated from TEG. The results of the IC based MPPT approach have been compared with those of perturb and observe (P&O) based MPPT from a previous researcher. The results indicate that the IC based MPPT approach is able to track the MPP but with relatively lower efficiencies than the P&O based MPPT method. The matching efficiency within a temperature range of 200oC– 300oC is in the range of 99.92% - 99.95% for P&O and 99.46% - 99.97% for IC method. However IC based MPPT method has higher voltage gain and converter efficiency than the P&O based MPPT method. Therefore, dc-dc converters are able to improve the steady state performance of TEG system as well as boosting the voltage to the desired level, hence improving the overall performance of TEG system. Although both P&O and IC are two classical algorithms that can be implemented to extract the maximum power from TEG, the comparative study has established that P&O technique outperforms the IC method.en_US
dc.identifier.citationTwaha, S., Zhu, J., Yan, Y., Li, B., & Huang, K. (2017). Performance analysis of thermoelectric generator using dc-dc converter with incremental conductance based maximum power point tracking. Energy for Sustainable Development, 37, 86-98.en_US
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0973082616304379
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/4015
dc.language.isoenen_US
dc.publisherEnergy for Sustainable Developmenten_US
dc.subjectThermoelectric power generationen_US
dc.subjectdc-dc converteren_US
dc.subjectTEG deviceen_US
dc.subjectMPPTen_US
dc.titlePerformance analysis of thermoelectric generator using dc-dc converter with incremental conductance based maximum power point trackingen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Performance analysis of thermoelectric generator using dc-dc converter with incremental.pdf
Size:
1.23 MB
Format:
Adobe Portable Document Format
Description:
Article
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Engineering and Technology