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1

Uchino, Kenji. "Piezoelectric Energy Harvesting Systems." Journal of Physics: Conference Series 1052 (July 2018): 012002. http://dx.doi.org/10.1088/1742-6596/1052/1/012002.

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2

Ambrożkiewicz, Bartłomiej, and Aasifa Rounak. "ENERGY HARVESTING – NEW GREEN ENERGY." Journal of Technology and Exploitation in Mechanical Engineering 8, no. 1 (November 4, 2022): 1–7. http://dx.doi.org/10.35784/jteme.3054.

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Energy Harvesting is the process in which energy is captured from a system's environment and converted into usable electric power. Energy harvesting allows electronics to operate where there's no conventional power source, eliminating the need to run wires or make frequent visits to replace batteries, that makes it the new possibility of green energy source. This short letter reports the 3 new designed energy harvesting systems based on the electromagnetic and piezoelectric effect from two universities, i.e. Lublin University of Technology (Poland) and University College Dublin (Republic of Ireland). The proposed systems can be used as a power supply for low-energy devices or in the diagnostics.
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Aljadiri, Rita T., Luay Y. Taha, and Paul Ivey. "Electrostatic Energy Harvesting Systems: A Better Understanding of Their SustainabilityElectrostatic Energy Harvesting Systems: A Better Understanding of Their Sustainability." Journal of Clean Energy Technologies 5, no. 5 (September 2017): 409–16. http://dx.doi.org/10.18178/jocet.2017.5.5.407.

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4

Azevedo, Joaquim, and Jorge Lopes. "Energy harvesting from hydroelectric systems for remote sensors." AIMS Energy 4, no. 6 (2016): 876–93. http://dx.doi.org/10.3934/energy.2016.6.876.

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5

Minasian, Arin, Shahram ShahbazPanahi, and Raviraj S. Adve. "Energy Harvesting Cooperative Communication Systems." IEEE Transactions on Wireless Communications 13, no. 11 (November 2014): 6118–31. http://dx.doi.org/10.1109/twc.2014.2320977.

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6

Liang, Junrui, and Wei-Hsin Liao. "Energy flow in piezoelectric energy harvesting systems." Smart Materials and Structures 20, no. 1 (December 2, 2010): 015005. http://dx.doi.org/10.1088/0964-1726/20/1/015005.

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7

Dai, Quanqi, Inhyuk Park, and Ryan L. Harne. "Impulsive energy conversion with magnetically coupled nonlinear energy harvesting systems." Journal of Intelligent Material Systems and Structures 29, no. 11 (April 23, 2018): 2374–91. http://dx.doi.org/10.1177/1045389x18770860.

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Magnets have received broad attention for vibration energy harvesting due to noncontact, nonlinear forces that may be leveraged among harvesting system elements. Yet, opportunities to integrate multi-directional coupling among a nonlinear energy harvesting system subjected to impulsive excitations have not been scrutinized, despite widespread prevalence of such excitations. To characterize these potentials, this research investigates an energy harvesting system with magnetically induced nonlinearities and coupling effects under impulsive excitations. A system model is formulated and validated with experimental efforts to reconstruct static and dynamic properties of the system via simulations. Then, the model is harnessed to scrutinize dynamic response of the system when subjected to impulse conditions. This research reveals the clear impulse strength dependence and influence of asymmetries on total electrical energy capture and energy conversion efficiency that are tailored by magnetic force coupling. Asymmetry is found to promote greater impulse-to-electrical energy conversion when compared to the symmetric counterpart system and a benchmark nonlinear energy harvester. The roles of initial conditions exemplify how stored energy in an asymmetric energy harvesting system may be released during nonlinear impulsive response. These results provide insights about opportunities and challenges to incorporate magnetic coupling effects in nonlinear energy harvesting systems subjected to impulses.
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8

Gordón, Carlos, Fabián Salazar, Cristina Gallardo, and Julio Cuji. "Storage Systems for Energy Harvesting Applications." IOP Conference Series: Earth and Environmental Science 1141, no. 1 (February 1, 2023): 012009. http://dx.doi.org/10.1088/1755-1315/1141/1/012009.

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Abstract Currently, the use of energy from the environment to generate electricity has triggered applications like Energy Harvesting because it is an ecological and autonomous energy that can be used in countless applications, the disadvantage of these systems is the storage system so in this research, a literature review of the use of storage technologies for their implementation in energy Harvesting systems has been carried out. The main objective is to evaluate the performance of the soul-saving systems by making a comparison with existing batteries on the market, with an analysis of the modelling and simulation through Wolfram System Modeler where it allows to understand the behavior of the charging and unchanging processes from the results obtained in energy harvesting systems previously developed by students of the Technical University of Ambato obtaining parameters involved in them to test the Energy Harvesting system with different batteries and thus, achieve greater energy re-collection and storage. These results are very promising because it has been possible to demonstrate by simulation and measurement that the batteries contained in their composition are suitable for Energy Harvesting systems.
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9

Ghasemi, Fatemeh, and Magnus Jahre. "Modeling Periodic Energy-Harvesting Computing Systems." IEEE Computer Architecture Letters 20, no. 2 (July 1, 2021): 142–45. http://dx.doi.org/10.1109/lca.2021.3117031.

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10

Gunduz, Deniz, Kostas Stamatiou, Nicolo Michelusi, and Michele Zorzi. "Designing intelligent energy harvesting communication systems." IEEE Communications Magazine 52, no. 1 (January 2014): 210–16. http://dx.doi.org/10.1109/mcom.2014.6710085.

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11

Klvac, Radomir, Shane Ward, Philip M. O. Owende, and John Lyons. "Energy Audit of Wood Harvesting Systems." Scandinavian Journal of Forest Research 18, no. 2 (January 2003): 176–83. http://dx.doi.org/10.1080/02827580310003759.

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12

Ye, Guoliang, and Kenichi Soga. "Energy Harvesting from Water Distribution Systems." Journal of Energy Engineering 138, no. 1 (March 2012): 7–17. http://dx.doi.org/10.1061/(asce)ey.1943-7897.0000057.

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13

Carmo, J. P., L. M. Goncalves, and J. H. Correia. "Thermoelectric Microconverter for Energy Harvesting Systems." IEEE Transactions on Industrial Electronics 57, no. 3 (March 2010): 861–67. http://dx.doi.org/10.1109/tie.2009.2034686.

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14

Jiang, Wen-An, and Li-Qun Chen. "Stochastic averaging of energy harvesting systems." International Journal of Non-Linear Mechanics 85 (October 2016): 174–87. http://dx.doi.org/10.1016/j.ijnonlinmec.2016.07.002.

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15

Uchino, Kenji, and Takaaki Ishii. "Energy Flow Analysis in Piezoelectric Energy Harvesting Systems." Ferroelectrics 400, no. 1 (September 21, 2010): 305–20. http://dx.doi.org/10.1080/00150193.2010.505852.

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16

Chen, Yingying, Bo Liu, Hongbo Liu, and Yudong Yao. "VLC-based Data Transfer and Energy Harvesting Mobile System." Journal of Ubiquitous Systems and Pervasive Networks 15, no. 01 (March 1, 2021): 01–09. http://dx.doi.org/10.5383/juspn.15.01.001.

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This paper explores a low-cost portable visible light communication (VLC) system to support the increasing needs of lightweight mobile applications. VLC grows rapidly in the past decade for many applications (e.g., indoor data transmission, human sensing, and visual MIMO) due to its RF interference immunity and inherent high security. However, most existing VLC systems heavily rely on fixed infrastructures with less adaptability to emerging lightweight mobile applications. This work proposes Light Storage, a portable VLC system takes the advantage of commercial smartphone flashlights as the transmitter and a solar panel equipped with both data reception and energy harvesting modules as the receiver. Light Storage can achieve concurrent data transmission and energy harvesting from the visible light signals. It develops multi-level light intensity data modulation to increase data throughput and integrates the noise reduction functionality to allow portability under various lighting conditions. The system supports synchronization together with adaptive error correction to overcome both the linear and non-linear signal offsets caused by the low time-control ability from the commercial smartphones. Finally, the energy harvesting capability in Light Storage provides sufficient energy support for efficient short range communication. Light Storage is validated in both indoor and outdoor environments and can achieve over 98% data decoding accuracy, demonstrating the potential as an important alternative to support low-cost and portable short range communication.
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17

Orhan, Oner, Deniz Gunduz, and Elza Erkip. "Energy Harvesting Broadband Communication Systems With Processing Energy Cost." IEEE Transactions on Wireless Communications 13, no. 11 (November 2014): 6095–107. http://dx.doi.org/10.1109/twc.2014.2328600.

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18

Moser, Clemens, Jian-Jia Chen, and Lothar Thiele. "An energy management framework for energy harvesting embedded systems." ACM Journal on Emerging Technologies in Computing Systems 6, no. 2 (June 2010): 1–21. http://dx.doi.org/10.1145/1773814.1773818.

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19

FEDELE, Rosario, Massimo MERENDA, and Filippo GIAMMARIA. "Energy harvesting for IoT road monitoring systems." Instrumentation Mesure Métrologie 18, no. 4 (December 30, 2018): 605–23. http://dx.doi.org/10.3166/i2m.17.605-623.

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20

Chen, Lipeng, Prathamesh Shenai, Fulu Zheng, Alejandro Somoza, and Yang Zhao. "Optimal Energy Transfer in Light-Harvesting Systems." Molecules 20, no. 8 (August 20, 2015): 15224–72. http://dx.doi.org/10.3390/molecules200815224.

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21

Khan, Atif Sardar, and Farid Ullah Khan. "A survey of wearable energy harvesting systems." International Journal of Energy Research 46, no. 3 (October 26, 2021): 2277–329. http://dx.doi.org/10.1002/er.7394.

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22

Grzybek, Dariusz. "Piezoelectric Generators in the Energy Harvesting Systems." Solid State Phenomena 248 (March 2016): 243–48. http://dx.doi.org/10.4028/www.scientific.net/ssp.248.243.

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Piezoelectric generator is a device used to convert mechanical energy into electrical energy. The basic element of the generator is made from piezoelectric material in which electrical energy is created as a result of deformations caused by reactions of mechanical structure of the generator. The amount of obtained electrical energy depends mainly on the piezoelectric material used, construction of the generator as well as a type of the source of mechanical energy. Construction of the generator is adjusted to the type of the source of mechanical energy. In order to obtain electrical energy from mechanical vibrations, the most frequent solution is beam structure. Effective electric energy generation by the piezoelectric generators depends on the following main factors: piezoelectric material used, generator structure, electronic system of the control and storage of energy, and the generator size. Generated by piezoelectric generators electric energy, can be used to power of miniaturized electronic devices with low power supply demand. The goal may be monitoring of the structure or industrial processes in hardly accessible places or/and in systems requiring the use of a big number of sensors. It will make cutting the operating costs possible and allow to create the eco-friendly technology without waste discharged batteries.
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23

Pakrashi, Vikram, Giuseppe Marano, Paul Cahill, Shaikh Faruque Ali, and Michele Magno. "Vibration Energy Harvesting for Monitoring Dynamical Systems." Shock and Vibration 2018 (June 3, 2018): 1–2. http://dx.doi.org/10.1155/2018/8396029.

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24

Zhang, Ye, Steve CS Cai, and Lu Deng. "Piezoelectric-based energy harvesting in bridge systems." Journal of Intelligent Material Systems and Structures 25, no. 12 (October 23, 2013): 1414–28. http://dx.doi.org/10.1177/1045389x13507354.

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25

Liu, Peng, Saeed Gazor, Il-Min Kim, and Dong In Kim. "Noncoherent Relaying in Energy Harvesting Communication Systems." IEEE Transactions on Wireless Communications 14, no. 12 (December 2015): 6940–54. http://dx.doi.org/10.1109/twc.2015.2462838.

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26

Silva, Fernando. "Energy Harvesting for Autonomous Systems [Book News]." IEEE Industrial Electronics Magazine 6, no. 1 (March 2012): 60. http://dx.doi.org/10.1109/mie.2012.2182863.

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27

Boujemaa, Hatem, and Nadhir Ben Halima. "Distributed Relay Selection for Energy Harvesting Systems." International Journal of Sensor Networks 1, no. 1 (2020): 1. http://dx.doi.org/10.1504/ijsnet.2020.10029555.

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28

Halima, Nadhir Ben, and Hatem Boujemâa. "Distributed relay selection for energy harvesting systems." International Journal of Sensor Networks 34, no. 1 (2020): 49. http://dx.doi.org/10.1504/ijsnet.2020.109719.

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29

Pavelková, Radka, David Vala, and Kateřina Gecová. "Energy harvesting systems using human body motion." IFAC-PapersOnLine 51, no. 6 (2018): 36–41. http://dx.doi.org/10.1016/j.ifacol.2018.07.126.

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30

Baz, Abdullah, Delong Shang, Fei Xia, and Alex Yakovlev. "Self-Timed SRAM for Energy Harvesting Systems." Journal of Low Power Electronics 7, no. 2 (April 1, 2011): 274–84. http://dx.doi.org/10.1166/jolpe.2011.1136.

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31

Altinel, Dogay, and Gunes Karabulut Kurt. "Modeling of Hybrid Energy Harvesting Communication Systems." IEEE Transactions on Green Communications and Networking 3, no. 2 (June 2019): 523–34. http://dx.doi.org/10.1109/tgcn.2019.2908086.

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32

Ahmed, Rehan, Stefan Draskovic, and Lothar Thiele. "Stochastic Guarantees for Adaptive Energy Harvesting Systems." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 41, no. 11 (November 2022): 3614–25. http://dx.doi.org/10.1109/tcad.2022.3198519.

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33

Vollmer, Martin S., Frank Würthner, Franz Effenberger, Peter Emele, Dirk U. Meyer, Thomas Stümpfig, Helmut Port, and Hans C. Wolf. "Anthryloligothienylporphyrins: Energy Transfer and Light-Harvesting Systems." Chemistry - A European Journal 4, no. 2 (February 10, 1998): 260–69. http://dx.doi.org/10.1002/(sici)1521-3765(19980210)4:2<260::aid-chem260>3.0.co;2-9.

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34

Slocum, Alexander H. "Symbiotic offshore energy harvesting and storage systems." Sustainable Energy Technologies and Assessments 11 (September 2015): 135–41. http://dx.doi.org/10.1016/j.seta.2014.10.004.

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35

Wang, Tao, Wei Song, and Shiqiang Zhu. "Analytical research on energy harvesting systems for fluidic soft actuators." International Journal of Advanced Robotic Systems 15, no. 1 (January 1, 2018): 172988141875587. http://dx.doi.org/10.1177/1729881418755876.

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Energy consumption has significant influence on the working time of soft robots in mobile applications. Fluidic soft actuators usually release pressurized fluid to environment in retraction motion, resulting in dissipation of considerable energy, especially when the actuators are operated frequently. This article mainly explores the potential and approaches of harvesting the energy released from the actuators. First, the strain energy and pressurized energy stored in fluidic soft actuators are modeled based on elastic mechanics. Then, taking soft fiber-reinforced bending actuators as case study, the stored energy is calculated and its parametric characteristics are presented. Finally, two energy harvesting schematics as well as dynamic models are proposed and evaluated using numerical analysis. The results show that the control performance of the energy harvesting system becomes worse because of increased damping effect and its energy harvesting efficiency is only 14.2% due to the losses of energy conversion. The energy harvesting system in pneumatic form is a little more complex. However, its control performance is close to the original system and its energy harvesting efficiency reaches about 44.1%.
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36

Yadav, Rahul, Ayush Goel, Ayush Goel, Shruti Vashist, and Mohit Verma. "A State-of-the-Art Study on Energy Harvesting Systems: Models and Issues." Indian Journal of Science and Technology 12, no. 41 (November 20, 2019): 1–6. http://dx.doi.org/10.17485/ijst/2019/v12i41/145572.

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37

Dogra, Vaishally. "Design and Optimization of Mechatronic Systems for Renewable Energy Harvesting." Mathematical Statistician and Engineering Applications 70, no. 1 (January 31, 2021): 371–77. http://dx.doi.org/10.17762/msea.v70i1.2485.

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The design and optimization of mechatronic systems for renewable energy harvesting play a crucial role in the advancement of sustainable energy sources. This paper presents a comprehensive review of the recent developments in the field of mechatronics, focusing specifically on the design and optimization aspects related to renewable energy harvesting systems. The aim of this study is to provide a consolidated understanding of the key challenges, methodologies, and techniques employed in the design and optimization of mechatronic systems for renewable energy harvesting. This paper provides a comprehensive overview of the design and optimization of mechatronic systems for renewable energy harvesting. It emphasizes the multidisciplinary nature of this field and showcases the significant advancements made in recent years. By integrating mechanical, electrical, and control systems, mechatronic systems hold great promise for efficient and sustainable energy harvesting. The paper highlights the challenges and opportunities in this domain, encouraging further research and innovation to accelerate the adoption of renewable energy sources and mitigate the environmental impact of conventional energy generation.
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38

Hadas, Zdenek, Jan Smilek, and Ondrej Rubes. "Energy harvesting from passing train as source of energy for autonomous trackside objects." MATEC Web of Conferences 211 (2018): 05003. http://dx.doi.org/10.1051/matecconf/201821105003.

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This paper deals with an energy harvesting review and analysis of an ambient mechanical energy on a trackside during a passing of a train. Trains provide very high level of vibration and deformation which could be converted into useful electricity. Due to maintenance and safety reasons a rail trackside includes sensing systems and number of sensor nodes is increased for modern transportation. Recent development of modern communication and ultra-low power electronics allows to use energy harvesting systems as autonomous source of electrical energy for these trackside objects. Main aim of this paper is model-based design of proposed vibration energy harvesting systems inside sleeper and predict harvested power during the train passing. Measurements of passing train is used as input for simulation models and harvested power is calculated. This simulation of proposed energy harvesting device is very useful for future design.
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39

Gholikhani, Mohammadreza, Seyed Amid Tahami, Mohammadreza Khalili, and Samer Dessouky. "Electromagnetic Energy Harvesting Technology: Key to Sustainability in Transportation Systems." Sustainability 11, no. 18 (September 8, 2019): 4906. http://dx.doi.org/10.3390/su11184906.

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The convergence of concerns about environmental quality, economic vitality, social equity, and climate change have led to vast interest in the concept of sustainability. Energy harvesting from roadways is an innovative way to provide green and renewable energy for sustainable transportation. However, energy harvesting technologies are in their infancy, so limited studies were conducted to evaluate their performance. This article introduces innovative electromagnetic energy harvesting technology that includes two different mechanisms to generate electrical power: a cantilever generator mechanism and a rotational mechanism. Laboratory experimental tests were conducted to examine the performance of the two mechanisms in generating power under different simulated traffic conditions. The experimental results had approximately root mean square power 0.43 W and 0.04 W and maximum power of 2.8 W and 0.25 W for cantilever and rotational, respectively. These results showed promising capability for both mechanisms in generating power under real traffic conditions. In addition, the study revealed the potential benefits of energy harvesting from roadways to support sustainability in transportation systems. Overall, the findings show that energy harvesting can impact sustainable transportation systems significantly. However, further examination of the large-scale effects of energy harvesting from roadways on sustainability is needed.
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40

Čeponis, Andrius, and Dalius Mažeika. "PIEZOELECTRIC SYSTEMS AS AN ALTERNATIVE ENERGY SOURCE / PJEZOELEKTRINIŲ ENERGIJOS SURINKIMO SISTEMŲ APŽVALGA." Mokslas – Lietuvos ateitis 6, no. 6 (March 5, 2015): 676–81. http://dx.doi.org/10.3846/mla.2014.775.

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The article gives an overview of the problems and solutions related to energy harvesting systems used for power supply of low power electronics systems. Power density is the main parameter describing the efficiency of energy harvesting systems. Piezoelectric energy harvesting systems demonstrate a high value of power density, and therefore the article presents an overview of piezoelectric energy harvesting systems and their components. Also, a summary of the terms that affect the efficiency of piezoelectric energy harvesting systems has been presented. Straipsnyje apžvelgiamos problemos ir sprendimai, susiję su elektrinės energijos tiekimu mažos galios elektronikos sistemoms, taikant energijos surinkimo iš aplinkos technologijas. Vienas iš pagrindinių energijos surinkimo sistemas apibūdinančių parametrų yra galios tankis. Pjezoelektrinė energijos surinkimo technologija pasižymi vienu iš didžiausių galios tankiu, todėl straipsnyje išsamiai nagrinėjami pjezoelektriniai kinetinės energijos keitikliai, apžvelgiamos keitiklių konstrukcijos, jų sudedamosios dalys, išskiriamos technologinės sąlygos, darančios įtaką keitiklių efektyvumui.
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41

Bassi, Hussain. "Method for harvesting solar energy." Journal of Applied Engineering Science 19, no. 2 (2021): 504–14. http://dx.doi.org/10.5937/jaes0-28761.

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The cooling of the surface of the solar photovoltaic (PV) system is a major operative factor in achieving greater efficiency. Correct cooling can improve electrical efficiency and reduce cell degradation rates over time. This results in increasing the life of the solar PV modules. In industrial and domestic utilization, the cooling system is used for the removal of excess heat. This paper presents a new method for cooling systems for solar PV which results in the improvement in the collection of the solar insolation. The additional feature of the method has been the tracking of sunlight for efficient power generation. Further, the extra heat can be utilized for other purposes including heating and power generation through thermal means. The concept of the proposed system has been explained in detail with the pictorial representation. Also, for the validation of the improved performance of the proposed system, a detailed comparison with the conventional methods have been provided for five different cities of Saudi Arabia and an improvement of twice collection of insolation has been estimated compare to the conventional systems. The proposed system shows improved performance for all operating conditions.
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42

Sonika, Sushil Kumar Verma, Siddhartha Samanta, Ankit Kumar Srivastava, Sonali Biswas, Rim M. Alsharabi, and Shailendra Rajput. "Conducting Polymer Nanocomposite for Energy Storage and Energy Harvesting Systems." Advances in Materials Science and Engineering 2022 (August 24, 2022): 1–23. http://dx.doi.org/10.1155/2022/2266899.

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Conducting polymers (CPs) have received a lot of attention because of their unique advantages over popular materials, such as universal and tunable electrical conductivity, simple invention approach, high mechanical strength, low weight, low price, and ease of processing. Polymer nanocomposites have been enthusiastically explored as superlative energy generators for low-power-consuming electronic strategies and confirmed progressive surface area, electronic conductivity, and amazing electrochemical behaviour through expanding the opportunity of utilization. The hybridization of conducting polymer with inorganic hybrid and organic nanomaterials also resulted in multifunctional hybrid nanocomposites with better capabilities in a variety of devices, including sensors, energy storage, energy harvesting, and defensive devices. The capability and assistance of modern advancements for the development of multifunctional nanomaterials/nanocomposites have been presented, as well as the approaches for producing nanostructured CPs. The mechanisms underlying their electrical conductivity, and ways for modifying their properties, are investigated. The ongoing research towards generating superior CP-based nanomaterials is also discussed. This assessment focuses on the important schemes involved in the scientific and industrial use of polymeric materials and nanocomposites intended for the scheme and manufacture of energy strategies such as solar cells, rechargeable batteries, supercapacitors, and energy cells, as well as the waiting problems and their prospects.
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43

Guan, M. J., and W. H. Liao. "Characteristics of Energy Storage Devices in Piezoelectric Energy Harvesting Systems." Journal of Intelligent Material Systems and Structures 19, no. 6 (July 10, 2007): 671–80. http://dx.doi.org/10.1177/1045389x07078969.

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44

Ahamad, Nor Baizura binti, Chun-Lien Su, Xiao Zhaoxia, Juan C. Vasquez, Josep M. Guerrero, and Chi-Hsiang Liao. "Energy Harvesting From Harbor Cranes With Flywheel Energy Storage Systems." IEEE Transactions on Industry Applications 55, no. 4 (July 2019): 3354–64. http://dx.doi.org/10.1109/tia.2019.2910495.

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45

Li, Yibin, Zhiping Jia, and Shuai Xie. "Energy-prediction scheduler for reconfigurable systems in energy-harvesting environment." IET Wireless Sensor Systems 4, no. 2 (June 1, 2014): 80–85. http://dx.doi.org/10.1049/iet-wss.2012.0129.

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46

Mao, Yuyi, Guanding Yu, and Caijun Zhong. "Energy Consumption Analysis of Energy Harvesting Systems with Power Grid." IEEE Wireless Communications Letters 2, no. 6 (December 2013): 611–14. http://dx.doi.org/10.1109/wcl.2013.081913.130391.

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47

Sabban, Albert. "Compact Wearable Meta Materials Antennas for Energy Harvesting Systems, Medical and IOT Systems." Electronics 8, no. 11 (November 13, 2019): 1340. http://dx.doi.org/10.3390/electronics8111340.

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Demand for green technologies and green energy is in continuous growth in the last decade. Compact efficient radiators are very important for energy harvesting portable systems. Small antennas have low efficiency. The efficiency of communication and energy harvesting systems may increase by using efficient passive and active antennas. The system dynamic range may be improved by connecting amplifiers to the printed antenna feed line. Design, design considerations, computed and measured results of wearable meta-materials antennas with high efficiency for energy harvesting applications are presented in this paper. The antennas electrical parameters on human body were analyzed by using commercial full-wave software. The wearable antennas are compact and flexible and are 1.6 mm thick. The directivity and gain of the antennas with Split-ring resonators (SRR), is higher by 2 dB to 3 dB than the antennas without SRR. The resonant frequency of the antennas without SRR is higher by 5% to 10% than the antennas with SRR.
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48

Hudson, J. B., and C. P. Mitchell. "Integrated harvesting systems." Biomass and Bioenergy 2, no. 1-6 (January 1992): 121–30. http://dx.doi.org/10.1016/0961-9534(92)90094-7.

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49

Garcia, Ephrahim, Michael W. Shafer, Matthew Bryant, Alexander Schlichting, and Boris Kogan. "Insight and Applications in Energy Harvesting from Bullets to Birds." Advances in Science and Technology 83 (September 2012): 59–68. http://dx.doi.org/10.4028/www.scientific.net/ast.83.59.

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Power requirements for microelectronics continue a downward trend and power production from vibrational power harvesting is ever increasing. The result is a convergence of technology that will allow for previously unattainable systems, such as infinite life wireless sensor nodes, health monitoring systems, and environmental monitoring tags, among others. The Laboratory of Intelligent Machine Systems at Cornell University has made many significant contributions to this field, pioneering new applications of piezoelectric energy harvesting, as well as contributing to harvesting circuitry and mechanical design theory. In this work, we present a variety of new applications for energy harvesting technology, including infinite life avian based bio-loggers, flutter induced vibrational wind power, and in-flight energy harvesting in munitions. We also present theoretical contributions to the field including an energy harvester beam design guide and multisource energy harvesting circuitry.
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Perera, Sinhara M. H. D., Ghanim Putrus, Michael Conlon, Mahinsasa Narayana, and Keith Sunderland. "Wind Energy Harvesting and Conversion Systems: A Technical Review." Energies 15, no. 24 (December 8, 2022): 9299. http://dx.doi.org/10.3390/en15249299.

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Wind energy harvesting for electricity generation has a significant role in overcoming the challenges involved with climate change and the energy resource implications involved with population growth and political unrest. Indeed, there has been significant growth in wind energy capacity worldwide with turbine capacity growing significantly over the last two decades. This confidence is echoed in the wind power market and global wind energy statistics. However, wind energy capture and utilisation has always been challenging. Appreciation of the wind as a resource makes for difficulties in modelling and the sensitivities of how the wind resource maps to energy production results in an energy harvesting opportunity. An opportunity that is dependent on different system parameters, namely the wind as a resource, technology and system synergies in realizing an optimal wind energy harvest. This paper presents a thorough review of the state of the art concerning the realization of optimal wind energy harvesting and utilisation. The wind energy resource and, more specifically, the influence of wind speed and wind energy resource forecasting are considered in conjunction with technological considerations and how system optimization can realise more effective operational efficiencies. Moreover, non-technological issues affecting wind energy harvesting are also considered. These include standards and regulatory implications with higher levels of grid integration and higher system non-synchronous penetration (SNSP). The review concludes that hybrid forecasting techniques enable a more accurate and predictable resource appreciation and that a hybrid power system that employs a multi-objective optimization approach is most suitable in achieving an optimal configuration for maximum energy harvesting.
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