Design of wind turbines with shroud and lobed ejectors for efficient utilization of low-grade wind energy

Han, Wanlong; Yan, Peng; Han, Wanjin; He, Yurong

doi:10.1016/j.energy.2015.06.024

Cited by 40 publications

(19 citation statements)

References 37 publications

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“…The enclosed turbine allows adaptation to the airflow duct and thus needs no orientation control to achieve output power. Such a turbine has been shown previously to be able to operate at very low pressure ratios and thus can harvest low grade flow energy [14]. A high conversion efficiency can be achieved when compared to competing turbines.…”

Section: Design and Operating Principlementioning

confidence: 90%

Footstep energy harvesting using heel strike-induced airflow for human activity sensing

Cao

et al. 2016

2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN)

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Abstract-Body sensor networks are increasingly popular in healthcare, sports, military and security. However, the power supply from conventional batteries is a key bottleneck for the development of body condition monitoring. Energy harvesting from human motion to power wearable or implanted devices is a promising alternative. This paper presents an airflow energy harvester to harness human motion energy from footstep. An air bladder-turbine energy harvester is designed to convert the footstep motion into electrical energy. The bladders are embedded in shoes to induce airflow from foot-strike. A ducted radial-flow turbine is employed to generate electrical energy from airflow. The design parameters of the turbine rotor, including blade number, the inner diameter of the blades, were optimized using computational fluid dynamics (CFD). A prototype was developed and tested with footsteps from a 65 Kg person. The peak output power of the harvester was first measured with different resistors. The value was 90.6 mW with a 30.4 Ω load. The harvested energy was then regulated and stored in a power management circuit. 14.8 mJ energy was stored in the circuit from 165 footsteps, which means 89.7 µJ was obtained per footstep. The regulated energy was finally used to fully power a fitness tracker which consists of a pedometer and a Bluetooth module. 7.38 mJ was consumed by the tracker per Bluetooth configuration and data transmission. The tracker operated normally with the harvester working continuously.

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Section: Design and Operating Principlementioning

confidence: 90%

Footstep energy harvesting using heel strike-induced airflow for human activity sensing

Cao

et al. 2016

2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN)

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“…It is particularly vital at low wind speed that the output power of a WECS significantly decreases [10]. For a certain wind speed, there is an optimum turbine speed at which the turbine output mechanical power reaches its maximum [11,12]. A MPPT controller tracks this optimum turbine speed [13], and then adjusts the turbine speed to this optimum speed [14].…”

Section: Introductionmentioning

confidence: 99%

Novel high efficient speed sensorless controller for maximum power extraction from wind energy conversion systems

Fathabadi

2016

Energy Conversion and Management

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“…At a certain wind speed, there is an optimum turbine speed at which the turbine output mechanical power reaches its maximum. () An MPPT controller tracks the optimum turbine speed, and then regulates the turbine speed to the optimum speed . There are different MPPT methods reported in the literature that are explained in detail as follows.…”

Section: Introductionmentioning

confidence: 99%

Optimal control of a wind energy conversion system and a wind turbine

Fathabadi

2018

Optim Control Appl Methods

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Summary Currently, a maximum power point tracking (MPPT) unit implemented in a wind energy conversion system (WECS) extracts the maximum mechanical power from the wind turbine used in the WECS. Therefore, the MPPT unit acts as a maximum mechanical power tracker (MMPT) that performs optimal control of the wind turbine to extract the maximum mechanical power from the wind turbine. In this paper, the basic concept of a maximum electrical power tracker (MEPT) is presented both theoretically and technically. It is demonstrated that an MEPT implemented in a WECS maximizes the output electrical power of the WECS. Thus, in contrast with an MMPT, the proposed MEPT optimally controls the whole of the WECS, rather than the wind turbine, to extract the maximum electrical power from the WECS. Since, in the WECS, the power efficiency of the whole of the WECS, not the wind turbine, should be maximized to extract the maximum output electrical power from the WECS, the conventional MPPT unit acting as an MMPT should be replaced with the proposed MEPT, and this is the superiority of the proposed MEPT to an MMPT or a conventional MPPT unit. To provide experimental verifications, 2 novel MEPT and MMPT with simple structures and better performance compared to the MPPT techniques commonly used in WECSs have been constructed, which are presented in detail.

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Design of wind turbines with shroud and lobed ejectors for efficient utilization of low-grade wind energy

Cited by 40 publications

References 37 publications

Footstep energy harvesting using heel strike-induced airflow for human activity sensing

Footstep energy harvesting using heel strike-induced airflow for human activity sensing

Novel high efficient speed sensorless controller for maximum power extraction from wind energy conversion systems

Optimal control of a wind energy conversion system and a wind turbine

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