Characterisation Of Living Plant Energy Harvesting For Wireless Sensor


Chong, Peng Lean (2019) Characterisation Of Living Plant Energy Harvesting For Wireless Sensor. Masters thesis, Multimedia University.

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It is well proven that electrical energy can be harvested from the living plants can be used as a potential renewable energy source for powering wireless device in remote areas where replacing or recharging the battery is a difficult task. Therefore, harvesting electrical energy from living plants in remote areas such as in farms or forest areas can be an ideal source of energy as these areas have abundant of living plants. However, characterisation of the electrical signal is needed to enable an optimum energy harvesting setup condition. In this research, an investigation is conducted to analyse the characteristic of Aloe Barbadensis Miller (Aloe Vera) leaves in terms of electrical energy generation under specific experimental setups. The experimental results show that 1111.55uW electrical power can be harvested from the Aloe Vera with 24 pairs of electrodes and this energy is capable to be stored in a capacitor. In addition, this research also proposes a design of power management circuit to harness, store and manage the electrical energy which is harvested from the leaves of Aloe Barbadensis Miller (Aloe Vera) plants to trigger a transmitter load to power a remote sensor. The power management circuit consists of two sections namely; an energy storage system that acts as an energy storage reservoir to store the harvested energy harvested from the plants as well as a voltage regulation system which is used to boost and manage the energy in accordance to a load operation.

Item Type: Thesis (Masters)
Additional Information: Call No.: TJ163.9 .C46 2019
Uncontrolled Keywords: Power (Mechanics)
Subjects: T Technology > TJ Mechanical Engineering and Machinery > TJ163.13-163.25 Power resources
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 18 Sep 2020 06:00
Last Modified: 18 Sep 2020 06:00


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