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Ambient energy harvesting has great potential to contribute to sustainable development and address growing environmental challenges. Converting waste energy from energy-intensive processes and systems (e.g. combustion engines and furnaces) is crucial to reducing their environmental impact and achieving net-zero emissions. Compact energy harvesters will also be key to powering the exponentially growing smart devices ecosystem that is part of the Internet of Things, thus enabling futuristic applications that can improve our quality of life (e.g. smart homes, smart cities, smart manufacturing, and smart healthcare). To achieve these goals, innovative materials are needed to efficiently convert ambient energy into electricity through various physical mechanisms, such as the photovoltaic effect, thermoelectricity, piezoelectricity, triboelectricity, and radiofrequency wireless power transfer. By bringing together the perspectives of experts in various types of energy harvesting materials, this Roadmap provides extensive insights into recent advances and present challenges in the field. Additionally, the Roadmap analyses the key performance metrics of these technologies in relation to their ultimate energy conversion limits. Building on these insights, the Roadmap outlines promising directions for future research to fully harness the potential of energy harvesting materials for green energy anytime, anywhere.
Roadmap on energy harvesting materials
Vincenzo Pecunia;S Ravi P Silva;Jamie D Phillips;Elisa Artegiani;Alessandro Romeo;Hongjae Shim;Jongsung Park;Jin Hyeok Kim;Jae Sung Yun;Gregory C Welch;Bryon W Larson;Myles Creran;Audrey Laventure;Kezia Sasitharan;Natalie Flores-Diaz;Marina Freitag;Jie Xu;Thomas M Brown;Benxuan Li;Yiwen Wang;Zhe Li;Bo Hou;Behrang H Hamadani;Emmanuel Defay;Veronika Kovacova;Sebastjan Glinsek;Sohini Kar-Narayan;Yang Bai;Da Bin Kim;Yong Soo Cho;Agnė Žukauskaitė;Stephan Barth;Feng Ru Fan;Wenzhuo Wu;Pedro Costa;Javier del Campo;Senentxu Lanceros-Mendez;Hamideh Khanbareh;Zhong Lin Wang;Xiong Pu;Caofeng Pan;Renyun Zhang;Jing Xu;Xun Zhao;Yihao Zhou;Guorui Chen;Trinny Tat;Il Woo Ock;Jun Chen;Sontyana Adonijah Graham;Jae Su Yu;Ling-Zhi Huang;Dan-Dan Li;Ming-Guo Ma;Jikui Luo;Feng Jiang;Pooi See Lee;Bhaskar Dudem;Venkateswaran Vivekananthan;Mercouri G Kanatzidis;Hongyao Xie;Xiao-Lei Shi;Zhi-Gang Chen;Alexander Riss;Michael Parzer;Fabian Garmroudi;Ernst Bauer;Duncan Zavanelli;Madison K Brod;Muath Al Malki;G Jeffrey Snyder;Kirill Kovnir;Susan M Kauzlarich;Ctirad Uher;Jinle Lan;Yuan-Hua Lin;Luis Fonseca;Alex Morata;Marisol Martin-Gonzalez;Giovanni Pennelli;David Berthebaud;Takao Mori;Robert J Quinn;Jan-Willem G Bos;Christophe Candolfi;Patrick Gougeon;Philippe Gall;Bertrand Lenoir;Deepak Venkateshvaran;Bernd Kaestner;Yunshan Zhao;Gang Zhang;Yoshiyuki Nonoguchi;Bob C Schroeder;Emiliano Bilotti;Akanksha K Menon;Jeffrey J Urban;Oliver Fenwick;Ceyla Asker;A Alec Talin;Thomas D Anthopoulos;Tommaso Losi;Fabrizio Viola;Mario Caironi;Dimitra G Georgiadou;Li Ding;Lian-Mao Peng;Zhenxing Wang;Muh-Dey Wei;Renato Negra;Max C Lemme;Mahmoud Wagih;Steve Beeby;Taofeeq Ibn-Mohammed;K B Mustapha;A P Joshi
2023-01-01
Abstract
Ambient energy harvesting has great potential to contribute to sustainable development and address growing environmental challenges. Converting waste energy from energy-intensive processes and systems (e.g. combustion engines and furnaces) is crucial to reducing their environmental impact and achieving net-zero emissions. Compact energy harvesters will also be key to powering the exponentially growing smart devices ecosystem that is part of the Internet of Things, thus enabling futuristic applications that can improve our quality of life (e.g. smart homes, smart cities, smart manufacturing, and smart healthcare). To achieve these goals, innovative materials are needed to efficiently convert ambient energy into electricity through various physical mechanisms, such as the photovoltaic effect, thermoelectricity, piezoelectricity, triboelectricity, and radiofrequency wireless power transfer. By bringing together the perspectives of experts in various types of energy harvesting materials, this Roadmap provides extensive insights into recent advances and present challenges in the field. Additionally, the Roadmap analyses the key performance metrics of these technologies in relation to their ultimate energy conversion limits. Building on these insights, the Roadmap outlines promising directions for future research to fully harness the potential of energy harvesting materials for green energy anytime, anywhere.
energy harvesting materials photovoltaics thermoelectric energy harvesting piezoelectric energy harvesting triboelectric energy harvesting radiofrequency energy harvesting sustainability
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1111772
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simulazione ASN
Il report seguente simula gli indicatori relativi alla propria produzione scientifica in relazione alle soglie ASN 2023-2025 del proprio SC/SSD. Si ricorda che il superamento dei valori soglia (almeno 2 su 3) è requisito necessario ma non sufficiente al conseguimento dell'abilitazione. La simulazione si basa sui dati IRIS e sugli indicatori bibliometrici alla data indicata e non tiene conto di eventuali periodi di congedo obbligatorio, che in sede di domanda ASN danno diritto a incrementi percentuali dei valori. La simulazione può differire dall'esito di un’eventuale domanda ASN sia per errori di catalogazione e/o dati mancanti in IRIS, sia per la variabilità dei dati bibliometrici nel tempo. Si consideri che Anvur calcola i valori degli indicatori all'ultima data utile per la presentazione delle domande.
La presente simulazione è stata realizzata sulla base delle specifiche raccolte sul tavolo ER del Focus Group IRIS coordinato dall’Università di Modena e Reggio Emilia e delle regole riportate nel DM 589/2018 e allegata Tabella A. Cineca, l’Università di Modena e Reggio Emilia e il Focus Group IRIS non si assumono alcuna responsabilità in merito all’uso che il diretto interessato o terzi faranno della simulazione. Si specifica inoltre che la simulazione contiene calcoli effettuati con dati e algoritmi di pubblico dominio e deve quindi essere considerata come un mero ausilio al calcolo svolgibile manualmente o con strumenti equivalenti.