Autonomous Energy Management system achieving piezoelectric energy harvesting in Wireless Sensors

International audienceWireless Sensor Networks (WSNs) are extensively used in monitoring applications such as humidity and temperature sensing in smart buildings, industrial automation, and predicting crop health. Sensor nodes are deployed in remote places to sense the data information from the environment and to transmit the sensing data to the Base Station (BS). When a sensor is drained of energy, it can no longer achieve its role without a substituted source of energy. However, limited energy in a sensor's battery prevents the long-term process in such applications. In addition, replacing the sensors' batteries and redeploying the sensors is very expensive in terms of time and budget. To overcome the energy limitation without changing the size of sensors, researchers have proposed the use of energy harvesting to reload the rechargeable battery by power. Therefore, efficient power management is required to increase the benefits of having additional environmental energy. This paper presents a new self-management of energy based on Proportional Integral Derivative controller (PID) to tune the energy harvesting and Microprocessor Controller Unit (MCU) to control the sensor modes

Review of flexible energy harvesting for bioengineering in alignment with SDG

To cater to the extensive body movements and deformations necessitated by biomedical equipment flexible piezoelectrics emerge as a promising solution for energy harvesting. This review research delves into the potential of Flexible Piezoelectric Materials (FPM) as a sustainable solution for clean and affordable energy, aligning with the United Nations' Sustainable Development Goals (SDGs). By systematically examining the secondary functions of stretchability, hybrid energy harvesting, and self-healing, the study aims to comprehensively understand these materials' mechanisms, strategies, and relationships between structural characteristics and properties. The research highlights the significance of designing piezoelectric materials that can conform to the curvilinear shape of the human body, enabling sustainable and efficient mechanical energy capture for various applications, such as biosensors and actuators. The study identifies critical areas for future investigation, including the commercialization of stretchable piezoelectric systems, prevention of unintended interference in hybrid energy harvesters, development of consistent wearability metrics, and enhancement of the elastic piezoelectric material, electrode circuit, and substrate for improved stretchability and comfort. In conclusion, this review research offers valuable insights into developing and implementing FPM as a promising and innovative approach to harnessing clean, affordable energy in line with the SDGs.</p

Review of flexible energy harvesting for bioengineering in alignment with SDG

To cater to the extensive body movements and deformations necessitated by biomedical equipment flexible piezoelectrics emerge as a promising solution for energy harvesting. This review research delves into the potential of Flexible Piezoelectric Materials (FPM) as a sustainable solution for clean and affordable energy, aligning with the United Nations' Sustainable Development Goals (SDGs). By systematically examining the secondary functions of stretchability, hybrid energy harvesting, and self-healing, the study aims to comprehensively understand these materials' mechanisms, strategies, and relationships between structural characteristics and properties. The research highlights the significance of designing piezoelectric materials that can conform to the curvilinear shape of the human body, enabling sustainable and efficient mechanical energy capture for various applications, such as biosensors and actuators. The study identifies critical areas for future investigation, including the commercialization of stretchable piezoelectric systems, prevention of unintended interference in hybrid energy harvesters, development of consistent wearability metrics, and enhancement of the elastic piezoelectric material, electrode circuit, and substrate for improved stretchability and comfort. In conclusion, this review research offers valuable insights into developing and implementing FPM as a promising and innovative approach to harnessing clean, affordable energy in line with the SDGs.</p

Autonomous Energy Management system achieving piezoelectric energy harvesting in Wireless Sensors

International audienceWireless Sensor Networks (WSNs) are extensively used in monitoring applications such as humidity and temperature sensing in smart buildings, industrial automation, and predicting crop health. Sensor nodes are deployed in remote places to sense the data information from the environment and to transmit the sensing data to the Base Station (BS). When a sensor is drained of energy, it can no longer achieve its role without a substituted source of energy. However, limited energy in a sensor's battery prevents the long-term process in such applications. In addition, replacing the sensors' batteries and redeploying the sensors is very expensive in terms of time and budget. To overcome the energy limitation without changing the size of sensors, researchers have proposed the use of energy harvesting to reload the rechargeable battery by power. Therefore, efficient power management is required to increase the benefits of having additional environmental energy. This paper presents a new self-management of energy based on Proportional Integral Derivative controller (PID) to tune the energy harvesting and Microprocessor Controller Unit (MCU) to control the sensor modes

Autonomous Energy Management system achieving piezoelectric energy harvesting in Wireless Sensors

International audienceWireless Sensor Networks (WSNs) are extensively used in monitoring applications such as humidity and temperature sensing in smart buildings, industrial automation, and predicting crop health. Sensor nodes are deployed in remote places to sense the data information from the environment and to transmit the sensing data to the Base Station (BS). When a sensor is drained of energy, it can no longer achieve its role without a substituted source of energy. However, limited energy in a sensor's battery prevents the long-term process in such applications. In addition, replacing the sensors' batteries and redeploying the sensors is very expensive in terms of time and budget. To overcome the energy limitation without changing the size of sensors, researchers have proposed the use of energy harvesting to reload the rechargeable battery by power. Therefore, efficient power management is required to increase the benefits of having additional environmental energy. This paper presents a new self-management of energy based on Proportional Integral Derivative controller (PID) to tune the energy harvesting and Microprocessor Controller Unit (MCU) to control the sensor modes

Prédiction et gestion de l’énergie dans un réseau de capteurs sans fil récolteurs d’énergie vibratoire pour les applications industrielles de l’internet des objets

La question de l’autonomie énergétique des capteurs sans fil (WS pour Wireless Sensor), indispensables pour l’automatisation de nombreux procédés industriels, est aujourd’hui une limite fondamentale dans l’atteinte des objectifs de l’industrie 4.0. Pour surmonter cette limite, la piste de solution la plus prometteuse est celle de la récolte de l’énergie ambiante (EH pour Energy Harvesting). L’EH consiste à identifier une source d’énergie primaire (soleil, vibrations, ondes radiofréquences, chaleur, etc.), disponible dans l’environnement immédiat du capteur et de la transformer en énergie électrique pour son alimentation. Cette thèse est une contribution dans ce domaine de recherche en pleine expansion, pour des applications dans l’environnement industriel. Les vibrations qui abondent dans la plupart des procédés industriels sont considérées comme source d’alimentation des WS capables de remplacer les capteurs filés actuellement utilisés. Prenant en considération le caractère aléatoire de la quantité d’énergie récoltable, deux contributions majeures sont proposées dans cette thèse à savoir la conception d’un Prédicteur de l’Énergie Récoltable des vibrations (PERV) et la mise en place d’une solution permettant de gérer efficacement l’énergie récoltée à travers un Protocole Hiérarchique à Équilibrage d’Énergie (PHEE). La conception du PERV est basée sur des données de vibrations enregistrées à 12 emplacements différents, et ce pendant un mois, sur le processus de concassage des minerais par un broyeur semiautogène. La périodicité observée dans les signaux est exploitée pour minimiser la quantité de données devant être stockées pour l’estimation de la puissance à un instant donné. Les performances du PERV sont ensuite comparées à un prédicteur de l’état de l’art le EWMA (Exponentially Weighted Moving-Average qui utilise l’historique des données d’énergie pour estimer les quantités d’énergie récoltable dans le futur) et il est obtenu que l’erreur quadratique moyenne pour les 12 points de mesure subie des améliorations allant de 10 % à 90.5 % comparé au prédicteur EWMA. Le PERV permet ainsi d’augmenter la précision dans la prédiction tout en réduisant la quantité des données devant être stockées. Sous la base de l’énergie prédite, le PHEE est conçu avec pour objectif d’optimiser à la fois la Qualité de Service individuelle de chacun des noeuds, mais aussi celle du réseau en entier. De façon plus spécifique, sous la base de l’énergie prédite, les noeuds capteurs contrôlant le procédé sont capables d'opérer de façon perpétuelle lorsque le coût énergétique par cycle de mesure est inférieur à 160