Remote area wind energy harvesting for low-power autonomous sensors

نویسندگان

  • Michael A. Weimer
  • Thurein S. Paing
چکیده

A growing demand for deployment of autonomous sensors and sensor networks is leading to a subsequent increase in the demand for localized, independent energy harvesting capabilities for each node. In this paper, a method of remote area wind energy harvesting is presented, with a focus on an anemometer-based solution. By utilizing the motion of the anemometer shaft to turn a compact alternator, small amounts of power can be harvested from otherwise unavailable sources. Energy harvested is converted to battery potential via a pulsed buck-boost converter operating in discontinuous conduction mode (DCM). It is found that maintaining a constant input resistance at the input port of the converter biases the alternator to operate at its peak power point over a wide range of wind speeds. Results show that power harvesting capability using the discussed alternator and power converter solution are in the range of tens to hundreds of microwatts up to approximately one milliwatt. This power is passed to the central system batteries, providing a trickle-charge. As a result, sensor nodes incorporating this harvesting solution have an increased field lifetime. High overall efficiency is maintained over a wide range of potential wind speeds, with little impact on anemometer measurement accuracy.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A High-Efficiency Wind Energy Harvester for Autonomous Embedded Systems

Energy harvesting is currently a hot research topic, mainly as a consequence of the increasing attractiveness of computing and sensing solutions based on small, low-power distributed embedded systems. Harvesting may enable systems to operate in a deploy-and-forget mode, particularly when power grid is absent and the use of rechargeable batteries is unattractive due to their limited lifetime and...

متن کامل

A new strategy for controlling wind turbines against sensor faults and wake effects to harvest more electrical energy

This paper describes a new method for harvesting maximum electrical energy in wind farms. In proposing technique, the stochastic process principles are applied for detecting fault measurements of sensors. On the other hand, the wind farm is modeled by using fuzzy concept. Thereby the turbines are controlled against continuous changes in speed, direction and eddy currents of the blowing wind. To...

متن کامل

Portable Wind Energy Harvesters for Low-Power Applications: A Survey

Energy harvesting has become an increasingly important topic thanks to the advantages in renewability and environmental friendliness. In this paper, a comprehensive study on contemporary portable wind energy harvesters has been conducted. The electrical power generation methods of portable wind energy harvesters are surveyed in three major groups, piezoelectric-, electromagnetic-, and electrost...

متن کامل

Optimization of grid independent diesel-based hybrid system for power generation using improved particle swarm optimization algorithm

The power supply of remote sites and applications at minimal cost and with low emissions is an important issue when discussing future energy concepts. This paper presents modeling and optimization of a photovoltaic (PV)/wind/diesel system with batteries storage for electrification to an off-grid remote area located in Rafsanjan, Iran. For this location, different hybrid systems are studied and ...

متن کامل

Low Cost UAV-based Remote Sensing for Autonomous Wildlife Monitoring

In recent years, developments in unmanned aerial vehicles, lightweight on-board computers, and low-cost thermal imaging sensors offer a new opportunity for wildlife monitoring. In contrast with traditional methods now surveying endangered species to obtain population and location has become more cost-effective and least time-consuming. In this paper, a low-cost UAV-based remote sensing platform...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006