Academic literature on the topic 'Energy Harvesting Systems'

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Journal articles on the topic "Energy Harvesting Systems"

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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Energy Harvesting Systems"

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Elmes, John. "MAXIMUM ENERGY HARVESTING CONTROL FOROSCILLATING ENERGY HARVESTING SYSTEMS." Master's thesis, University of Central Florida, 2007. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3400.

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This thesis presents an optimal method of designing and controlling an oscillating energy harvesting system. Many new and emerging energy harvesting systems, such as the energy harvesting backpack and ocean wave energy harvesting, capture energy normally expelled through mechanical interactions. Often the nature of the system indicates slow system time constants and unsteady AC voltages. This paper reveals a method for achieving maximum energy harvesting from such sources with fast determination of the optimal operating condition. An energy harvesting backpack, which captures energy from the interaction between the user and the spring decoupled load, is presented in this paper. The new control strategy, maximum energy harvesting control (MEHC), is developed and applied to the energy harvesting backpack system to evaluate the improvement of the MEHC over the basic maximum power point tracking algorithm.
M.S.E.E.
School of Electrical Engineering and Computer Science
Engineering and Computer Science
Electrical Engineering MSEE
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Barker, Simon Keith. "Resilient energy harvesting systems." Thesis, University of Newcastle Upon Tyne, 2012. http://hdl.handle.net/10443/1434.

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Developing resilient sensor systems for deployment in extreme environments is a challenge which silicon carbide, along with other wide band gap materials, stands to play a major role in. However, any system developed will be hindered in its usefulness unless the problem of providing a power supply in these extreme conditions is addressed. This work addresses this need; a wireless sensor node conceived of standard o the shelf components was first developed and used as the basis for the design considerations required for a silicon carbide sensor node. The silicon system developed uses a piezoelectric energy harvester for the power supply and exhibits favourable operating characteristics for low vibration environments. It is capable of continuous operation at 120 mg (1.177 ms⁻²) and at 40 mg operates with a system duty cycle of 0.05. PZT, a standard piezoelectric energy harvesting material, was characterised to 300°C to test its resilience to the conditions found in hostile environments. The material degrades considerably with temperature, with a decrease in Youngs modulus from 66 GPa at room temperature to 8.16 GPa at 300 C. The room temperature value is repeatable once cooled with an observed hysteresis in the upper temperature range. The peak output voltage at resonance also varies with temperature, resulting in an 11.6% decrease in room temperature voltage once the device is heated to 300°C. The output voltage at 300°C is found to be 2.05 V, a considerable decrease from the initial 11.1 V output at room temperature. The decrease in voltage with temperature is not monotonic as maybe expected, the data showing that at 473 K there is an increase in output voltage which is caused by a decrease in mechanical damping. SiC pin diodes were fabricated with wide drift regions to promote a large depletion width, in order to maximise the capture cross section of incident light on the devices. The large drift region produces a high series resistance. However, ll factors above 0.7 show that the device is not signi cantly a ected. SiC is shown to be an e ective UV harvester with an observed increase in output power from 0.17 mWcm⁻² at room temperature to 0.32 mWcm⁻² at 600 K. Fill factor also remains stable with temperature, indicating that the device is not a ected by variation in parameters such as shunt and series resistances or the ideality factor. There are current technological di culties which preclude the manufacture of large area silicon carbide solar cells and as such, an alternative networking solution is presented as a way to increase the output power of the devices. Given that these devices would be subject to long term high temperature exposure, a 700 hour thermal stress test is carried out at 450°C to explore the failure mechanism of the devices. There is an observed decrease in device ll factor which indicates that the device su ers increasing degradation. The data shows that this is caused by increasing series resistance, which reduces the devices ability to output power. SEM imaging and SIMS analysis show this is likely caused by signifcant metal diusion in the contact stack which could potentially be overcome by the addition ofan alternative di usion barrier. Once energy is generated by an energy harvester is must be stored so that it can be used when required. To this end both substrate and on chip storage technologies are discussed in the forms of AlN and HfO₂ metal insulator metal (MIM) capacitors. To test the feasibility of both solutions, AlN and HfO₂ MIM capacitors were characterised to 300°C. The HfO₂ device leakage has a strong temperature dependence as observed in the IV characteristics and the capacitance density does not scale according to parallel plate theory. However, the devices can be e ectively networked and their leakage reduced with series connection. The internal voltage decay of the device is reduced with series connection, due to the di er-ing work functions of the metal-insulator contacts. The alternative AlN solution exhibits substantially weaker temperature dependance and signi cantly improved lm quality. The data shows no existence of a barrier at the insulator - metal interface, as observed in the HfO2 device IV characteristics. The extracted activation energy is stable with temperature at 1.26 +/- 0.15 eV indicating a trap assisted leakage mechanism. This method is more suitable to fabrication of large area storage as it can be fabricated o chip on a less expensive substrate and the devices fabricated exhibit a higher yield than the HfO₂ devices.
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Alrowaijeh, Jamal Salem. "Fluidic Energy Harvesting and Sensing Systems." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/96241.

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Smart sensors have become and will continue to constitute an enabling technology to wirelessly connect platforms and systems and enable improved and autonomous performance. Automobiles have about two hundred sensors. Airplanes have about eight thousand sensors. With technology advancements in autonomous vehicles or fly-by-wireless, the numbers of these sensors is expected to increase significantly. The need to conserve water and energy has led to the development of advanced metering infrastructure (AMI) as a concept to support smart energy and water grid systems that would respond to emergency shut-offs or electric blackouts. Through the Internet of things (IoT) smart sensors and other network devices will be connected to enable exchange and control procedure toward reducing the operational cost and improving the efficiency of residential and commercial buildings in terms of their function or energy and water use. Powering these smart sensors with batteries or wires poses great challenges in terms of replacing the batteries and connecting the wires especially in remote and difficult-to-reach locations. Harvesting free ambient energy provides a solution to develop self-powered smart sensors that can support different platforms and systems and integrate their functionality. In this dissertation, we develop and experimentally assess the performance of harvesters that draw their energy from air or water flows. These harvesters include centimeter-scale micro wind turbines, piezo aeroelastic harvesters, and micro hydro generators. The performance of these different harvesters is determined by their capability to support wireless sensing and transmission, the level of generated power, and power density. We also develop and demonstrate the capability of multifunctional systems that can harvest energy to replenish a battery and use the harvested energy to sense speed, flow rate or temperature, and to transmit the data wirelessly to a remote location.
PHD
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López, Suárez Miquel. "Non-linear nanoelectromechanical systems for energy harvesting." Doctoral thesis, Universitat Autònoma de Barcelona, 2014. http://hdl.handle.net/10803/283731.

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Les Tecnologies de la Informació i la Comunicació (TICs) es troben arreu i experimenten un creixement del 5% cada any amb aplicacions en diverses àrees que comprenen des de la telefonia mòbil al control mèdic de la salut. Les TICs són, en part, responsables de l'extraordinari increment en la quantitat d'informació intercanviada en tot el món contribuint considerablement al que es coneix com la petjada de CO2. Avui dia, es dediquen molts esforços en disminuir dràsticament la potència elèctrica necessària per a la computació d'un bit d'informació amb l'objectiu d'assolir el límit de Landauer que estableix el mínim d'energia requerida en 2.85 zJ: el límit físic per a la unitat d'informació. El ràpid desenvolupament de l'electrònica de baix consum i la seva miniaturització ha obert la porta a la possibilitat de dissenyar tecnologies portàtils i autoalimentades. A més a més, el desenvolupament d'aquest tipus de dispositius representa un punt clau de cara a evitar el recanvi o recàrrega de les bateries convencionals. La recol·lecció d'energia provinent de vibracions mecàniques representa una opció molt atractiva per a l'alimentació d'aquest tipus de dispositius en termes de disponibilitat i densitat de potència. L'objectiu de la present tesi és proporcionar una revisió de l'estat de l'art i trobar noves estratègies per incrementar el rendiment de les tecnologies de recol·lecció d'energia de les vibracions mecàniques. L'increment de la potència generada mitjançant la inducció d'un comportament biestable és estudiat a la micro i a la nanoescala, quan les vibracions presents en l'ambient venen caracteritzades pel seu extens ample de banda i la seva baixa intensitat, en comparació al rendiment proporcionat per les estratègies estàndards basades en l'ús de ressonadors.
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Erkal, Hakan. "Optimization Of Energy Harvesting Wireless Communication Systems." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613937/index.pdf.

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In an energy harvesting communication system, energy is derived from outside sources and becomes partially available at different points in time. The constraints induced by this property on energy consumption plays an active role in the design of efficient communication systems. This thesis focuses on the optimal design of transmission and networking schemes for energy harvesting wireless communication systems. In particular, an energy harvesting transmitter broadcasting data to two receivers in an AWGN broadcast channel assuming that energy harvests and data arrivals occur at known instants is considered. In this system, optimal packet scheduling that achieves minimum delay is analyzed. An iterative algorithm, DuOpt, that achieves the same structural properties as the optimal schedule is proposed. DuOpt is proved to obtain the optimal solution when weaker user data is ready at the beginning. A dual problem is defined and shown to be strictly convex. Taking advantage of the dual problem, uniqueness of the solution of the main problem is proved. Finally, it is observed that DuOpt is almost two orders of magnitude faster than the SUMT (sequential unconstrained minimization technique) algorithm that solves the same problem.
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Moser, Clemens. "Power management in energy harvesting embedded systems." Aachen Shaker, 2009. http://d-nb.info/994883013/04.

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Gindullina, Elvina. "Sustainable Management of Energy-Harvesting Communication Systems." Doctoral thesis, Università degli studi di Padova, 2019. http://hdl.handle.net/11577/3423306.

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IoT systems have been massively infiltrating our everyday's life for various applications. One of the main constraints inhibiting the further development of these applications is the limited autonomy of present day batteries. Moreover, energy sustainability is a crucial requirement for systems employed in critical mission applications. A widely used approach to increase the autonomy of IoT systems is the use of renewable sources of energy such as solar, wind, heat, and others to power the devices. For instance, one of the most widespread solutions for wireless sensor nodes is the use of solar panels, which can provide reasonable power input. Their efficiency is determined by the panel's material that defines the conversion efficiency. Renewable sources of energy are too erratic to provide complete system reliability unless over-dimensioned. In reality, energy supply is often limited, which causes the need for adaption of the node operational strategy to ensure the functional reliability of the system. However, the unreliable nature of renewable energy causes several challenges, which we address in this work. In particular, this thesis investigates the effect of battery imperfections caused by inner diffusion processes in the battery on the energy harvesting wireless device operation and effective energy-balancing strategies for different scenarios and system types. We propose 1) the transmission strategy, that takes into account the battery properties (leakage, charge recovery, deep discharge, etc.), and reduces the data losses and discharge events; 2) adaptive sampling algorithms, that balances the erratic energy arrivals, validated on the industrial data-logger powered by a solar panel; and 3) energy cooperation in WSN and Smart City contexts. We also focus on critical-mission IoT systems, where the freshness of delivered packets to the monitoring node by the information sources (communication nodes) is the important parameter to be tracked. In this context, we set the objective of age of information minimization taking into account the battery constraints, asymmetry in reliability of information sources, and stability of energy arrivals, that is, the energy harvesting rate. This array of strategies covers a wide range of applications, scenarios, and requirements. For instance, they can be applied to a smart city represented as a large system of interconnected smart services, or a WSN employed for critical mission applications. We demonstrated that the knowledge of battery and environmental characteristics, and the asymmetric properties of a system is beneficial for designing transmission/sensing strategies.
I sistemi IoT si sono massivamenti entrati nella vita quotidiana per varie applicazioni. Uno dei principali vincoli che inibiscono l'ulteriore sviluppo di queste applicazioni è l'autonomia limitata delle batterie attuali. Inoltre, la sostenibilità energetica è un requisito cruciale per i sistemi impiegati in applicazioni mission-critical. Un approccio ampiamente utilizzato per aumentare l'autonomia dei sistemi IoT è l'uso di fonti energetiche rinnovabili come solare, eolico, termico e altri per alimentare i dispositivi. Ad esempio, una delle soluzioni più diffuse per i nodi di sensori wireless è l'uso di pannelli solari, che possono fornire un ragionevole input di energia. La loro efficienza è determinata dal materiale del pannello che definisce l'efficienza di conversione. Le fonti energetiche rinnovabili sono troppo irregolari per garantire la completa affidabilità del sistema se non sovradimensionate. In realtà, l'approvvigionamento energetico è spesso limitato, il che causa la necessità di adattamento della strategia operativa del nodo per garantire l'affidabilità funzionale del sistema. Tuttavia, la natura inaffidabile delle energie rinnovabili provoca diverse sfide, che affrontiamo in questo lavoro. In particolare, questa tesi studia l'effetto delle imperfezioni della batteria causate dai processi di diffusione interna della batteria sul funzionamento del dispositivo wireless per la raccolta di energia e strategie efficaci di bilanciamento dell'energia per diversi scenari e tipi di sistema. Proponiamo 1) la strategia di trasmissione, che tiene conto delle proprietà della batteria (perdite, recupero della carica, scarica profonda, ecc.) E riduce le perdite di dati e gli eventi di scarica; 2) algoritmi di campionamento adattivo, che bilanciano gli arrivi irregolari di energia, validati sul data logger industriale alimentato da un pannello solare; e 3) cooperazione energetica in contesti WSN e Smart City. Ci concentriamo anche su sistemi IoT di missione critica, in cui la freschezza dei pacchetti consegnati al nodo di monitoraggio da parte delle fonti di informazione (nodi di comunicazione) è il parametro importante da tracciare. In questo contesto, fissiamo l'obiettivo dell'età della minimizzazione delle informazioni tenendo conto dei vincoli della batteria, dell'asimmetria nell'affidabilità delle fonti di informazione e della stabilità degli arrivi di energia, ovvero della velocità di raccolta dell'energia. Questa serie di strategie copre una vasta gamma di applicazioni, scenari e requisiti. Ad esempio, possono essere applicati a una città intelligente rappresentata come un grande sistema di servizi intelligenti interconnessi o come WSN impiegato per applicazioni mission-critical. Abbiamo dimostrato che la conoscenza della batteria e delle caratteristiche ambientali e le proprietà asimmetriche di un sistema sono utili per la progettazione di strategie di trasmissione / rilevamento.
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Persson, Erik. "Energy Harvesting in Wireless Sensor Networks." Thesis, Uppsala universitet, Signaler och System, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-388006.

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Over the past few years, the interest of remote wireless sensor networks has increased with the growth of Internet of Things technology. The wireless sensor network applications vary from tracking animal movement to controlling small electrical devices. Wireless sensors deployed in remote areas where the grid is unavailable are normally powered by batteries, inducing a limited lifespan for the sensor. This thesis work presents a solution to implement solar energy harvesting to a wireless sensor network. By gathering energy from the environment and using it in conjunction with an energy storage, the lifetime of a sensor node can be extended while at the same time reducing maintenance costs. To make sensor nodes in a network energy efficient, an adaptive controller of the nodes energy consumption can be used. A network consisting of a client node and a server node was created. The client node was powered by a small solar cell in conjunction with a capacitor. A linear-quadratic tracking algorithm was implemented to adaptively change the transmission rate for a node based on its current and previous battery level and the energy harvesting model. The implementation was done using only integers. To evaluate the system for extended run-times, the battery level was simulated using MATLAB. The system was simulated for different weather conditions. The simulation results show that the system is viable for both cloudy and sunny weather conditions. The integer linear-quadratic algorithm responds to change very abruptly in comparison to a floating point-version.
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Stevens, Amy L. "Energy transfer processes in supramolecular light-harvesting systems." Thesis, University of Oxford, 2011. http://ora.ox.ac.uk/objects/uuid:43833f3a-96b0-432a-9608-8f08a9096be7.

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This dissertation attempts to understand how energy transfer in a molecular wire and a spherical organic assembly are affected by molecular structure. The molecular wire is a DNA-hybrid structure composed of a strand of thymine bases appended by a cyanine dye. Hydrogen bonded to each base is a naphthalene-derivative molecule. Using time-integrated photoluminescence and time-correlated single photon counting measurements, energy transfer from the naphthalene donors to the cyanine acceptors was confirmed, and its dependence on temperature and DNA-template length investigated. Donor-thymine bonding was disrupted at temperatures above about 25 degrees Celcius resulting in poor donor template decoration and low rates of energy transfer. Increasing numbers of donors attach to the scaffold, forming an orderly array, as the template length increases due to the stabilising effects of the donor-donor pi-stacking interactions. Conversely, modelled energy transfer rates fall as the scaffold length increases because of the longer donor-acceptor distances involved. Therefore, the energy transfer rate was greatest for a template built from 30 thymines. The spherical organic assemblies (nanoparticles) are formed by fast injection of a small volume of molecularly dissolved fluorene-derivative amphiphilic molecules into a polar solvent. The amphiphilic molecules contained either a naphthalene (donor) or a benzothiadiazole (acceptor) core. The donor-acceptor mixed nanoparticles resemble an amorphous polymer film and were modelled as such using the Foerster resonance energy transfer theory. The Foerster radii extracted from the measurements depends intricately on the donor-acceptor spectral overlap and distance. The latter effect was controlled by the stacking interactions between the molecules. Altering the morphology of the structural units is the key to optimising energy transfer in molecular structures. To achieve efficient organic molecule-based devices, the importance of this property needs to be fully appreciated and effectively exploited.
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Thomas, Michael Brandon. "Donor-Acceptor Systems: Photochemistry and Energy Harvesting Applications." Thesis, University of North Texas, 2020. https://digital.library.unt.edu/ark:/67531/metadc1703335/.

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Donor-acceptor systems have unique properties that make them ideal candidates for solar energy harvesting through mimicry of natural photosynthesis. This dissertation is focused on unraveling those unique properties in various types of donor-acceptor systems. The systems investigated are categorized as closely linked, push-pull, supramolecular, and multi-unit. As part of the study, photosynthetic analogues based on BF2-chelated dipyrromethene (BODIPY), porphyrin, phthalocyanine, truxene, ferrocene, quinone, phenothiazine (PTZ), perylenediimide (PDI), fullerene (C60), dicyanoquinodimethane (DCNQ), tetracyanobutadiene (TCBD), and triphenylamine (TPA) are investigated. The effects of proximity between donor-acceptor entities, their geometrical orientation relative to each other, push-pull character of substituents, and competitive energy and electron transfer are examined. In all systems, primary events of photosynthesis are observed, that is absorption and energy transfer and/or electron transfer is witnessed. Ultrafast transient absorption spectroscopy is utilized to characterize the photo-induced events, while other methods such as steady-state luminescence, cyclic voltammetry, differential pulse voltammetry, chronoamperometry, and computational calculations are used to aid in the characterization of the donor-acceptor systems, in particular their applicability as solar energy harvesters.
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Books on the topic "Energy Harvesting Systems"

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Kaźmierski, Tom J., and Steve Beeby, eds. Energy Harvesting Systems. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-7566-9.

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Blokhina, Elena, Abdelali El Aroudi, Eduard Alarcon, and Dimitri Galayko, eds. Nonlinearity in Energy Harvesting Systems. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-20355-3.

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Energy harvesting for autonomous systems. Norwood, Mass: Artech House, 2010.

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Ylli, Klevis, and Yiannos Manoli. Energy Harvesting for Wearable Sensor Systems. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4448-8.

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Kaźmierski, Tom J. Energy Harvesting Systems: Principles, Modeling and Applications. New York, NY: Springer Science+Business Media, LLC, 2011.

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C, Onar Omer, ed. Energy harvesting: Solar, wind, and ocean energy conversion systems. Boca Raton: Taylor & Francis, 2010.

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Khaligh, Alireza. Energy harvesting: Solar, wind, and ocean energy conversion systems. Boca Raton: CRC Press, 2010.

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Khaligh, Alireza. Energy harvesting: Solar, wind, and ocean energy conversion systems. Boca Raton: Taylor & Francis, 2010.

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Di Paolo Emilio, Maurizio. Microelectronic Circuit Design for Energy Harvesting Systems. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47587-5.

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Innovative materials and systems for energy harvesting applications. Hershey, PA: Engineering Science Reference, 2015.

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Book chapters on the topic "Energy Harvesting Systems"

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In, Visarath, and Antonio Palacios. "Energy Harvesting." In Understanding Complex Systems, 295–316. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-55545-3_8.

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Dauksevicius, Rolanas, and Danick Briand. "Energy Harvesting." In Material-Integrated Intelligent Systems - Technology and Applications, 479–528. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2017. http://dx.doi.org/10.1002/9783527679249.ch21.

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Zhu, Dibin, and Steve Beeby. "Kinetic Energy Harvesting." In Energy Harvesting Systems, 1–77. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-7566-9_1.

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Kázmierski, Tom J., and Leran Wang. "Modelling, Performance Optimisation and Automated Design of Mixed-Technology Energy Harvester Systems." In Energy Harvesting Systems, 79–101. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-7566-9_2.

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Haase, Jan, Joseph Wenninger, Christoph Grimm, and Jiong Ou. "Simulation of Ultra-Low Power Sensor Networks." In Energy Harvesting Systems, 103–40. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-7566-9_3.

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Herndl, Thomas. "Remote Sensing of Car Tire Pressure." In Energy Harvesting Systems, 141–59. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-7566-9_4.

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Ahmad, Shafeeq, Md Toufique Alam, Mohammad Bilal, Osama Khan, and Mohd Zaheen Khan. "Analytical Modelling of HVAC-IoT Systems with the Aid of UVGI and Solar Energy Harvesting." In Energy Harvesting, 65–80. Boca Raton: Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003218760-3.

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De Marqui, Carlos. "Piezoelectric Energy Harvesting." In Dynamics of Smart Systems and Structures, 267–88. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29982-2_11.

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Despesse, Ghislain, Jean Jacques Chaillout, Sébastien Boisseau, and Claire Jean-Mistral. "Mechanical Energy Harvesting." In Energy Autonomous Micro and Nano Systems, 115–51. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118561836.ch5.

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Caroff, Tristan, Emmanuelle Rouvière, and Jérôme Willemin. "Thermal Energy Harvesting." In Energy Autonomous Micro and Nano Systems, 153–84. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118561836.ch6.

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Conference papers on the topic "Energy Harvesting Systems"

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Elmes, John, Venceslav Gaydarzhiev, Adje Mensah, Khalid Rustom, John Shen, and Issa Batarseh. "Maximum Energy Harvesting Control for Oscillating Energy Harvesting Systems." In 2007 IEEE Power Electronics Specialists Conference. IEEE, 2007. http://dx.doi.org/10.1109/pesc.2007.4342461.

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Singh, Nitin, Pankaj Dayama, Sukanya Randhawa, Kalyan Dasgupta, Manikandan Padmanaban, Shivkumar Kalyanaraman, and Jagabondhu Hazra. "Photonic Energy Harvesting." In e-Energy '17: The Eighth International Conference on Future Energy Systems. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3077839.3077857.

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Rabaey, J., F. Burghardt, D. Steingart, M. Seeman, and P. Wright. "Energy Harvesting - A Systems Perspective." In 2007 IEEE International Electron Devices Meeting. IEEE, 2007. http://dx.doi.org/10.1109/iedm.2007.4418947.

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Davronbekov, D. A., U. T. Aliev, J. D. Isroilov, X. F. Alimdjanov, and B. I. Akhmedov. "Integrated Solutions Energy Harvesting Systems." In 2020 International Conference on Information Science and Communications Technologies (ICISCT). IEEE, 2020. http://dx.doi.org/10.1109/icisct50599.2020.9351518.

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Sample, A., D. Yeager, J. Smith, P. Powledge, and A. Mamishev. "Energy Harvesting in RFID Systems." In 2006 International Conference on Actual Problems of Electron Devices Engineering. IEEE, 2006. http://dx.doi.org/10.1109/apede.2006.307453.

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Patil, Akshay, Mayur Jadhav, Shreyas Joshi, Elton Britto, and Apurva Vasaikar. "Energy harvesting using piezoelectricity." In 2015 International Conference on Energy Systems and Applications. IEEE, 2015. http://dx.doi.org/10.1109/icesa.2015.7503403.

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Karthik, G., S. Ajay, and K. J. Jegadishkumar. "Harvesting the RF energy." In 2011 IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems (COMCAS). IEEE, 2011. http://dx.doi.org/10.1109/comcas.2011.6105809.

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Farhangdoust, Saman, Gary E. Georgeson, and Jeong-Beom Ihn. "MetaSub piezoelectric energy harvesting." In Smart Structures and NDE for Industry 4.0, Smart Cities, and Energy Systems, edited by Kerrie Gath and Norbert G. Meyendorf. SPIE, 2020. http://dx.doi.org/10.1117/12.2559331.

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Meyer, Johannes, Hilko Meyer, and Gerd von Colln. "An Energy Measurement System for Characterization of Energy Harvesting Systems." In 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE, 2018. http://dx.doi.org/10.1109/etfa.2018.8502628.

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Yang Ge, Yukan Zhang, and Qinru Qiu. "Improving energy efficiency for energy harvesting embedded systems." In 2013 18th Asia and South Pacific Design Automation Conference (ASP-DAC 2013). IEEE, 2013. http://dx.doi.org/10.1109/aspdac.2013.6509645.

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Reports on the topic "Energy Harvesting Systems"

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Ely, Roger, Catherine Page, and David Kehoe. Engineered, Solid-State Processes for Enhanced Biosolar Hydrogen Production and Exploitation of Solar Energy with Tailored Light-Harvesting Systems. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada581276.

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Lin, Yirong. Additive Manufacturing of Energy Harvesting Material System for Active Wireless MEMS Sensors. Office of Scientific and Technical Information (OSTI), December 2020. http://dx.doi.org/10.2172/1755669.

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Zhang, Qiming, and Heath Hogmann. Harvesting Electric Energy During Walking With a Backpack: Physiological, Ergonomic, Biomechanical, and Electromechanical Materials, Devices, and System Considerations. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada428873.

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Vermillion, Christopher. Final Technical Report: Device Design and Periodic Motion Control of an Ocean Kite System for Hydrokinetic Energy Harvesting. Office of Scientific and Technical Information (OSTI), February 2023. http://dx.doi.org/10.2172/1959041.

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Nicholson, Claire, Jonathan Wastling, Peter Gregory, and Paul Nunn. FSA Science Council Working Group 6 Food Safety and Net Zero Carbon July 2022 Interim Report. Food Standards Agency, July 2022. http://dx.doi.org/10.46756/sac.fsa.vxz377.

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Abstract:
The UK has a legal commitment to reach net zero carbon (NZC) emissions by 2050. This is a topic that has recently been building momentum, with clean growth being one of the four Grand Challenges set out by the UK Government. The ways we grow, process and transport food are major contributors to climate change, accounting for more than a quarter of all greenhouse gas emissions. Reducing this will require substantial changes in agriculture, manufacturing, and transport. Consequently, the Science Council and FSA Chief Scientific Adviser (CSA) agreed that a deeper understanding of the potential implications of achieving net zero on food systems, together with identification of areas of uncertainty, would be of considerable value to FSA in pre-empting future policy and evidence needs in this area. In early discussions to scope the work required, Defra indicated to the FSA Science Council Secretariat that there are many new developments and changes to activity in primary production aimed at achieving net zero. The Science Council agreed, therefore, to concentrate its first investigations on changes expected in primary food production. Primary production is the production of chemical energy in organic forms by living organisms. The main source of this energy is sunlight. For the purposes of this review, primary food production includes the growing and harvesting of plants as food for humans or feed for animals, and the rearing and slaughter of animals including livestock, fish and a wide variety of aquatic and marine organisms. A Science Council Working Group 6 (WG6) began work in summer 2021, led by Science Council members Mrs Claire Nicholson (WG6 Chair) and Prof Jonathan Wastling (WG6 Deputy Chair). The brief for WG6 is to investigate the potential food safety implications arising from changes to primary food production practices and technologies that reduce carbon emissions in the next 10 years. The work programme (described in this report) covers 4 phases, with phases 1 and 2 now complete. The work so far has drawn diverse, wide-ranging, sometimes slightly conflicting, views and opinions from across academia, the FSA, Defra, industry bodies and individual food producers. This interim report summarises: The work undertaken to date (phases 1 and 2) What has been learnt including changes to practice already underway or imminent Issues arising from the changes that the FSA should be aware of Further work planned by WG6 to understand the nature of the risks in more depth (phases 3 and 4) The Science Council aims to complete its investigations by the end of 2022 and present its findings to the FSA Board as soon as possible afterwards.
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Systems and Controls Analysis and Testing; Harvesting More Wind Energy with Advanced Controls Technology (Fact Sheet). Office of Scientific and Technical Information (OSTI), January 2010. http://dx.doi.org/10.2172/971095.

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