Optimisation of a piezoelectric system for energy harvesting from traffic vibrations
Piezoelectric systems are viewed as a promising approach to energy harvesting from environmental vibrations. The energy harvested from real vibration sources is usually difficult to estimate analytically. Therefore, it is hard to optimise the associated energy harvesting system. This work investigat...
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| creator | Guoliang Ye Jize Yan Zi Jing Wong Soga, K. Seshia, A. |
| description | Piezoelectric systems are viewed as a promising approach to energy harvesting from environmental vibrations. The energy harvested from real vibration sources is usually difficult to estimate analytically. Therefore, it is hard to optimise the associated energy harvesting system. This work investigates the optimisation of a piezoelectric cantilever system using a genetic algorithm based approach with numerical simulations. The genetic algorithm globally considers the effects of each parameter to produce an optimal frequency response to scavenge more energy from the real vibrations while the conventional sinusoidal based method can only optimise the resistive load for a given resonant frequency. Experimental acceleration data from the vibrations of a vehicle-excited manhole cover demonstrates that the optimised harvester automatically selects the right frequency and also synchronously optimises the damper and the resistive load. This method shows great potential for optimizing the energy harvesting systems with real vibration data. |
| doi_str_mv | 10.1109/ULTSYM.2009.5441942 |
| format | Conference Proceeding |
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The energy harvested from real vibration sources is usually difficult to estimate analytically. Therefore, it is hard to optimise the associated energy harvesting system. This work investigates the optimisation of a piezoelectric cantilever system using a genetic algorithm based approach with numerical simulations. The genetic algorithm globally considers the effects of each parameter to produce an optimal frequency response to scavenge more energy from the real vibrations while the conventional sinusoidal based method can only optimise the resistive load for a given resonant frequency. Experimental acceleration data from the vibrations of a vehicle-excited manhole cover demonstrates that the optimised harvester automatically selects the right frequency and also synchronously optimises the damper and the resistive load. 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This method shows great potential for optimizing the energy harvesting systems with real vibration data.</description><subject>Acceleration</subject><subject>Energy Harvesting</subject><subject>Equations</subject><subject>Frequency</subject><subject>Genetic Algorithm</subject><subject>Genetic algorithms</subject><subject>Optimisation</subject><subject>Optimization methods</subject><subject>Piezoelectric System</subject><subject>Power generation</subject><subject>Power system modeling</subject><subject>Traffic Vibration</subject><subject>Vibrations</subject><subject>Wind energy generation</subject><subject>Wireless sensor networks</subject><issn>1051-0117</issn><isbn>142444389X</isbn><isbn>9781424443895</isbn><isbn>9781424443901</isbn><isbn>1424443903</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkM1KAzEURiMq2NY-QTd5gan3Zu78ZCnFPxjpwhZ0VZLMTY10OiUZCvXpFe3q48DhLD4hZghzRNB362b19vE6VwB6XhChJnUhprqqkRQR5RrwUozPUOv3KzFCKDADxOpGjFP6AlBQKBqJ1fIwhC4kM4R-L3svjTwE_u55x26Iwcl0SgN30vdR8p7j9iQ_TTxyGsJ-K33sOzlE4_2veQw2_mXSrbj2Zpd4et6JWD8-rBbPWbN8elncN1nAvFBZSSbXViHVVtdMpFrLbQs2r5wjICpNpZisdhV629aFc1BWpQZVIYDXdT4Rs_9uYObNIYbOxNPm_Ej-A-mpVDU</recordid><startdate>200909</startdate><enddate>200909</enddate><creator>Guoliang Ye</creator><creator>Jize Yan</creator><creator>Zi Jing Wong</creator><creator>Soga, K.</creator><creator>Seshia, A.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200909</creationdate><title>Optimisation of a piezoelectric system for energy harvesting from traffic vibrations</title><author>Guoliang Ye ; Jize Yan ; Zi Jing Wong ; Soga, K. ; Seshia, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i1352-64a39b2148b98e442dbedd0b37cc40446a72e4b9c71fbd85cc06769027100f983</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Acceleration</topic><topic>Energy Harvesting</topic><topic>Equations</topic><topic>Frequency</topic><topic>Genetic Algorithm</topic><topic>Genetic algorithms</topic><topic>Optimisation</topic><topic>Optimization methods</topic><topic>Piezoelectric System</topic><topic>Power generation</topic><topic>Power system modeling</topic><topic>Traffic Vibration</topic><topic>Vibrations</topic><topic>Wind energy generation</topic><topic>Wireless sensor networks</topic><toplevel>online_resources</toplevel><creatorcontrib>Guoliang Ye</creatorcontrib><creatorcontrib>Jize Yan</creatorcontrib><creatorcontrib>Zi Jing Wong</creatorcontrib><creatorcontrib>Soga, K.</creatorcontrib><creatorcontrib>Seshia, A.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Guoliang Ye</au><au>Jize Yan</au><au>Zi Jing Wong</au><au>Soga, K.</au><au>Seshia, A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Optimisation of a piezoelectric system for energy harvesting from traffic vibrations</atitle><btitle>2009 IEEE International Ultrasonics Symposium</btitle><stitle>ULTSYM</stitle><date>2009-09</date><risdate>2009</risdate><spage>759</spage><epage>762</epage><pages>759-762</pages><issn>1051-0117</issn><isbn>142444389X</isbn><isbn>9781424443895</isbn><eisbn>9781424443901</eisbn><eisbn>1424443903</eisbn><abstract>Piezoelectric systems are viewed as a promising approach to energy harvesting from environmental vibrations. The energy harvested from real vibration sources is usually difficult to estimate analytically. Therefore, it is hard to optimise the associated energy harvesting system. This work investigates the optimisation of a piezoelectric cantilever system using a genetic algorithm based approach with numerical simulations. The genetic algorithm globally considers the effects of each parameter to produce an optimal frequency response to scavenge more energy from the real vibrations while the conventional sinusoidal based method can only optimise the resistive load for a given resonant frequency. Experimental acceleration data from the vibrations of a vehicle-excited manhole cover demonstrates that the optimised harvester automatically selects the right frequency and also synchronously optimises the damper and the resistive load. 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| identifier | ISSN: 1051-0117 |
| ispartof | 2009 IEEE International Ultrasonics Symposium, 2009, p.759-762 |
| issn | 1051-0117 |
| language | eng |
| recordid | cdi_ieee_primary_5441942 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Acceleration Energy Harvesting Equations Frequency Genetic Algorithm Genetic algorithms Optimisation Optimization methods Piezoelectric System Power generation Power system modeling Traffic Vibration Vibrations Wind energy generation Wireless sensor networks |
| title | Optimisation of a piezoelectric system for energy harvesting from traffic vibrations |
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