Energy harvesting and stability analysis of centralized TEG system under non-uniform temperature distribution-Reference-Cited by-同舟云学术

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Energy harvesting and stability analysis of centralized TEG system under non-uniform temperature distribution

Published:2022-08 Issue: Volume:52 Page:102028
ISSN:2213-1388
Container-title:Sustainable Energy Technologies and Assessments
language:en
Short-container-title:Sustainable Energy Technologies and Assessments

Author:

Khan Noman Mujeeb,Mansoor Majad,Mirza Adeel Feroz,Moosavi Syed Kumayl Raza,Qadir Zakria,Zafar Muhammad Hamza

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Reference37 articles.

1. Thermoelectric power generation efficiency of zigzag monolayer nanoribbon of bismuth;Karbaschi;Nanotechnology,2020

2. Yuan C, et al. Efficient design optimization of a thermoelectric generator by a combination of model order reduction and thermal submodeling techniques. in ECMS. 2019.

3. 3D model of thermoelectric generator (TEG) case study: Effect of flow regime on the TEG performance;Eldesoukey;Energy Convers Manage,2019

4. Experimental studies on a low concentrating photovoltaic/thermal (LCPV/T) collector with a thermoelectric generator (TEG) module;Zhang;Renewable Energy,2021

5. He M, et al. Mathematical modelling and heat transfer performance of a TEG for engine exhaust heat recovery. in Journal of Physics: Conference Series. 2020. IOP Publishing.

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2. Waste heat management in electric motors using thermoelectric generator integrated with phase change material and metal foam-embedded heat sink;Energy Reports;2024-06

3. Experimental investigation of the external load effect on thermoelectric generator discharge time in a low power energy harvesting system;Energy;2024-04

4. MPPT design of centralized thermoelectric generation system under non-uniform temperature distribution based on COOT optimization algorithm;Case Studies in Thermal Engineering;2024-02

5. Data-driven green energy extraction: Machine learning-based MPPT control with efficient fault detection method for the hybrid PV-TEG system;Energy Reports;2023-12

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