Energy

Multi-agent wake estimation

Anonymous — Tue, 15 Dec 2020 07:00:00 +0000

Multi-agent wake estimation Anonymous (not verified) Tue, 12/15/2020 - 00:00

J. Annoni , C.J. Bay , M.M. Nicotra , L. Pao , D.J. Pasley

[video:https://www.youtube.com/watch?v=g4st2sJFdJs&feature=youtu.be]

Our work on wind field estimation continues with a multi-agent scenawhere multiple mobile sensors communicate with each other to identify the model parameters of the incoming wind. Each agent can only take measurements in its own section of the wind farm and can only communicate with each neighbors. As time goes on, the estimates of al the agents converge to the correct value.

This proof of concept is yet another first step in the development of Autonomous Mobile Sensors for Wind Field Estimation.

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Wake estimation

Anonymous — Fri, 16 Nov 2018 07:00:00 +0000

Wake estimation Anonymous (not verified) Fri, 11/16/2018 - 00:00

J. Annoni , C.J. Bay , M.M. Nicotra , L. Pao , D.J. Pasley

[video:https://youtu.be/eookRgXa5k8]

As the ASIRT seed grant draws to a close, we have successfully demonstrated that it is possible to use a single mobile sensor to estimate the airflow within a wind farm. The principle behind the proposed method is to identify the areas of the flow field that contain the highest density of information and compare the measurements in those locations with the current model output. This comparison is then used to iteratively update the model and drive the error to zero.

The proposed method relies on a turbine wake model supplied by NREL, which we used to identify the areas with the highest information density and plan a trajectory for the mobile sensor. The wind filed estimate is then updated in real-time as the mobile sensor collects data and compares the model predictions with the actual data.

This proof of concept is the first step in the development of Autonomous Mobile Sensors for Wind Field Estimation.

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Welcome: Dave

Anonymous — Mon, 27 Aug 2018 06:00:00 +0000

Welcome: Dave Anonymous (not verified) Mon, 08/27/2018 - 00:00

David J. Pasley will be pursuing his PhD under the joint supervision of Lucy Pao and myself.

His primary focus will be the Autonomous Mobile Sensing for Wind Field Estimation project.

David is my first (currently my only) PhD student and I wholeheartedly wish him the best of luck!

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