A Novel Approach on Renewable Energy Harvesting Using Internet of Things (IoT)

2021 ◽  
pp. 271-285
Author(s):  
S. Chandragandhi ◽  
E. Udayakumar ◽  
K. Srihari
Keyword(s):  
Renewable Energy ◽  
Energy Harvesting ◽  
Internet Of Things ◽  
Novel Approach

Renewable energy harvesting and absorbing via multi-scale metamaterial systems for Internet of things

2019 ◽  
Vol 254 ◽  
pp. 113717 ◽  
Author(s):  
Ting Tan ◽  
Zhimiao Yan ◽  
Hongxiang Zou ◽  
Kejing Ma ◽  
Fengrui Liu ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Harvesting ◽  
Internet Of Things ◽  
Multi Scale

Status and Trends of Renewable Energy Harvesting

2014 ◽  
Vol 672-674 ◽  
pp. 422-426
Author(s):  
Yu Wei Zou ◽  
Wei Huan Ji ◽  
Ying Jun Sang
Keyword(s):  
Renewable Energy ◽  
Energy Harvesting ◽  
Internet Of Things ◽  
Power Supply ◽  
Wireless Sensors ◽  
Energy Development ◽  
Advantages And Disadvantages ◽  
Status And Trends ◽  
Effective Use ◽  
Energy Equipment

With advances in technology, Internet of things have been all over every aspect of our lives, renewable energy harvesting technologies will provide a better solution for the power supply of wireless sensors. This article outlines a variety of renewable energy, renewable energy equipment already, the advantages and disadvantages of renewable energy in the environment. Effective use of renewable energy will be the future hot research of energy development.

scholarly journals Power-Generation Optimization Based on Piezoelectric Ceramic Deformation for Energy Harvesting Application with Renewable Energy

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2171
Author(s):  
Hyeonsu Han ◽  
Junghyuk Ko
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Energy Harvesting ◽  
Piezoelectric Material ◽  
Lead Zirconate Titanate ◽  
Piezoelectric Ceramic ◽  
Piezoelectric Element ◽  
Piezoelectric Ceramics ◽  
Lead Zirconate ◽  
Piezoelectric Energy

Along with the increase in renewable energy, research on energy harvesting combined with piezoelectric energy is being conducted. However, it is difficult to predict the power generation of combined harvesting because there is no data on the power generation by a single piezoelectric material. Before predicting the corresponding power generation and efficiency, it is necessary to quantify the power generation by a single piezoelectric material alone. In this study, the generated power is measured based on three parameters (size of the piezoelectric ceramic, depth of compression, and speed of compression) that contribute to the deformation of a single PZT (Lead zirconate titanate)-based piezoelectric element. The generated power was analyzed by comparing with the corresponding parameters. The analysis results are as follows: (i) considering the difference between the size of the piezoelectric ceramic and the generated power, 20 mm was the most efficient piezoelectric ceramic size, (ii) considering the case of piezoelectric ceramics sized 14 mm, the generated power continued to increase with the increase in the compression depth of the piezoelectric ceramic, and (iii) For piezoelectric ceramics of all diameters, the longer the depth of deformation, the shorter the frequency, and depending on the depth of deformation, there is a specific frequency at which the charging power is maximum. Based on the findings of this study, PZT-based elements can be applied to cases that receive indirect force, including vibration energy and wave energy. In addition, the power generation of a PZT-based element can be predicted, and efficient conditions can be set for maximum power generation.

scholarly journals Experiment Investigation of Bistable Vibration Energy Harvesting with Random Wave Environment

2021 ◽  
Vol 11 (9) ◽  
pp. 3868
Author(s):  
Qiong Wu ◽  
Hairui Zhang ◽  
Jie Lian ◽  
Wei Zhao ◽  
Shijie Zhou ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Harvesting ◽  
Cantilever Beam ◽  
Large Scale ◽  
Low Frequency ◽  
Vibration Energy ◽  
Random Wave ◽  
Periodic Signal ◽  
Vibration Energy Harvesting ◽  
Motion Activity

The energy harvested from the renewable energy has been attracting a great potential as a source of electricity for many years; however, several challenges still exist limiting output performance, such as the package and low frequency of the wave. Here, this paper proposed a bistable vibration system for harvesting low-frequency renewable energy, the bistable vibration model consisting of an inverted cantilever beam with a mass block at the tip in a random wave environment and also develop a vibration energy harvesting system with a piezoelectric element attached to the surface of a cantilever beam. The experiment was carried out by simulating the random wave environment using the experimental equipment. The experiment result showed a mass block’s response vibration was indeed changed from a single stable vibration to a bistable oscillation when a random wave signal and a periodic signal were co-excited. It was shown that stochastic resonance phenomena can be activated reliably using the proposed bistable motion system, and, correspondingly, large-scale bistable responses can be generated to realize effective amplitude enlargement after input signals are received. Furthermore, as an important design factor, the influence of periodic excitation signals on the large-scale bistable motion activity was carefully discussed, and a solid foundation was laid for further practical energy harvesting applications.

scholarly journals Assessment of Cow Dung Pellets as a Renewable Solid Fuel in Direct Combustion Technologies

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1192
Author(s):  
Aneta Szymajda ◽  
Grażyna Łaska ◽  
Magdalena Joka
Keyword(s):  
Renewable Energy ◽  
Calorific Value ◽  
Cow Dung ◽  
Fixed Carbon ◽  
Direct Combustion ◽  
Potential Source ◽  
Novel Approach ◽  
Combustion Tests ◽  
Promising Source ◽  
Compaction Properties

Recently, biomass application as a renewable energy source is increasing worldwide. However, its availability differs in dependence on the location and climate, therefore, agricultural residues as cow dung (CD) are being considered to supply heat and/or power installation. This paper aims at a wide evaluation of CD fuel properties and its prospect to apply in the form of pellets to direct combustion installations. Therefore, the proximate, ultimate composition and calorific value were analyzed, then pelletization and combustion tests were performed, and the ash characteristics were tested. It was found that CD is a promising source of bioenergy in terms of LHV (16.34 MJ·kg−1), carbon (44.24%), and fixed carbon (18.33%) content. During pelletization, CD showed high compaction properties and at a moisture content of 18%,and the received pellets’ bulk density reached ca. 470 kg·m−3 with kinetic durability of 98.7%. While combustion, in a fixed grate 25 kW boiler, high emissions of CO, SO2, NO, and HCl were observed. The future energy sector might be based on biomass and this work shows a novel approach of CD pellets as a potential source of renewable energy available wherever cattle production is located.

AsTAR: Sustainable Energy Harvesting for the Internet of Things through Adaptive Task Scheduling

2022 ◽  
Vol 18 (1) ◽  
pp. 1-34
Author(s):  
Fan Yang ◽  
Ashok Samraj Thangarajan ◽  
Gowri Sankar Ramachandran ◽  
Wouter Joosen ◽  
Danny Hughes
Keyword(s):  
Energy Harvesting ◽  
Internet Of Things ◽  
A Priori ◽  
Optimum Level ◽  
Energy Aware ◽  
Energy Demands ◽  
Sustainable Operation ◽  
The Face ◽  
Execution Rates ◽  
Hardware Platforms

Battery-free Internet-of-Things devices equipped with energy harvesting hold the promise of extended operational lifetime, reduced maintenance costs, and lower environmental impact. Despite this clear potential, it remains complex to develop applications that deliver sustainable operation in the face of variable energy availability and dynamic energy demands. This article aims to reduce this complexity by introducing AsTAR, an energy-aware task scheduler that automatically adapts task execution rates to match available environmental energy. AsTAR enables the developer to prioritize tasks based upon their importance, energy consumption, or a weighted combination thereof. In contrast to prior approaches, AsTAR is autonomous and self-adaptive, requiring no a priori modeling of the environment or hardware platforms. We evaluate AsTAR based on its capability to efficiently deliver sustainable operation for multiple tasks on heterogeneous platforms under dynamic environmental conditions. Our evaluation shows that (1) comparing to conventional approaches, AsTAR guarantees Sustainability by maintaining a user-defined optimum level of charge, and (2) AsTAR reacts quickly to environmental and platform changes, and achieves Efficiency by allocating all the surplus resources following the developer-specified task priorities. (3) Last, the benefits of AsTAR are achieved with minimal performance overhead in terms of memory, computation, and energy.

scholarly journals Fuzzy Controller Applied to a Remote Energy Harvesting Emulation Platform

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5874 ◽  
Author(s):  
Marcelo Miranda Camboim ◽  
Juan Moises Maurício Villanueva ◽  
Cleonilson Protasio de Souza
Keyword(s):  
Renewable Energy ◽  
Energy Harvesting ◽  
Renewable Energy Sources ◽  
Setting Time ◽  
Pi Controller ◽  
Step Response ◽  
Energy Sources ◽  
Thermal Source ◽  
Proportional Integral ◽  
Thermal Pattern

In the last decades, a lot of effort has been made in order to improve the use of environmentally friendly and renewable energy sources. In a context of small energy usage, energy harvesting takes place and thermal energy sources are one of its main energy sources because there are several unused heat sources available in the environment that may be used as renewable energy sources. To rapidly evaluate the energy potential of such thermal sources is a hard task, therefore, a way to perform this is welcome. In this work, a thermal pattern emulation system to evaluate potential thermal source in a easy way is proposed. The main characteristics of the proposed system is that it is online and remote, that is, while the thermal-source-under-test is being measured, the system is emulating it and evaluating the generated energy remotely. The main contribution of this work was to replace the conventional Proportional Integral Derivative (PID) controller to a Fuzzy-Proportional Integral (PI) controller. In order to compare both controllers, three tests were carried out, namely: (a) step response, (b) perturbation test, (c) thermal emulation of the thermal pattern obtained from a potential thermal source: tree trucks. Experimental results show that the Fuzzy-PI controller was faster than the PID, achieving a setting time 41.26% faster, and also was more efficient with a maximum error 53% smaller than the PID.

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