A Thermoelectric Energy Harvesting System

Yahya, Khalid; Salem, M; Iqteit, Nassim; Khan, Saad Ahmad

doi:10.5772/intechopen.92088

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…This increase is Fig. 1 Glimpse of energy future [3] regarded seriously as a target to cover at least 30% of total utilized energy [3]. Figure 1 is showing the glimpse of energy future.…”

Section: Introductionmentioning

confidence: 97%

Design and Fabrication of Power Generating Treadmill

Al-Talib,

Yang,

M.Tahir

et al. 2023

Proceedings of International Conference on Artificial Life and Robotics

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This paper aims to take advantage of treadmill's wasted electrical energy during a person's workout and utilize the energy for charging electrical appliances. The energy expended on a treadmill during the exercise is all wasted. In order to take advantage of the wasted energy, it could be harnessed by a power generator and stored in a battery bank. The electrical energy generated during the exercise on the treadmill could be utilized to power electronic devices and appliances. The attached power generation machine will not interrupt a person's workout flow and it can be attached to any treadmill due to its friendly design. Wasted energy is harnessed in this research by a non-traditional manner of using shaft and wheel method. A multi-meter is used to measure the voltage and current and power is then calculated from the readings recorded. Tests have shown that the prototype machine is able to fully charge a 3096 mAh smartphone in 135 minutes and the phone could be fully charged for 2 charging cycles. This power generating machine is showing a good implementation for the Sustainable development Goals (SDG's).

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“…This increase is Fig. 1 Glimpse of energy future [3] regarded seriously as a target to cover at least 30% of total utilized energy [3]. Figure 1 is showing the glimpse of energy future.…”

Section: Introductionmentioning

confidence: 97%

Design and Fabrication of Power Generating Treadmill

Al-Talib,

Yang,

M.Tahir

et al. 2023

Proceedings of International Conference on Artificial Life and Robotics

View full text Add to dashboard Cite

show abstract

“…This is done by switching off the power source or shutting off the power converter. This method is useful for TEG systems because of the nature of TEG's linear voltage‐current 23 . However, while the OCV‐based methods do not require power measurement, the implementation process can be complex and cause temporary loss of power.…”

Section: Introductionmentioning

confidence: 99%

A new maximum power point tracking algorithm based on power differentials method for thermoelectric generators

Yahya

Alomari

2020

Int J Energy Res

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Summary This study uses a new maximum power point tracking (MPPT) algorithm for Thermoelectric Generator (TEG) devices. The MPPT algorithm appears as an essential solution due to the nature and the variation characteristics of the TEG devices under certain conditions. In this paper, the power differentials‐maximum power point tracking (PD‐MPPT) algorithm is proposed to control the boost converter by measuring the output power of TEG devices at both the start and finishing points of the power curve along with making a comparison of these two measured power points. The priority is given to the highest power point until the maximum power point is achieved, and Kalman Filter has been applied to eliminate the oscillation generated from the TEG system. This algorithm does not require any extra circuit to measure the short‐circuit current or the open‐circuit voltage because there is no disconnection between the TEG and the load. The hardware implementation of the power differentials algorithm is demonstrated under steady‐state conditions. Moreover, the PD‐MPPT is an effective and applicable algorithm applied to grab the maximum power point from the Photovoltaics PVs and TEGs systems. The practical experiment is conducted using the “STM32f429” microcontroller to implement the algorithm. During the experiments, the change in the duty cycles is observed. The experimental results show that the PD‐MPPT algorithm performs better under a steady‐state and has the ability to track the maximum power point accurately.

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