An empirical estimation of power output of a miniaturized wind turbine cluster

Srbinovski Bruno; Leahy Paul; Pakrashi Vikram; Dunne Shane; Stack Eoin; Taccetta Marco; Popovici Emanuel

doi:10.1109/ISSC.2016.7528469

An empirical estimation of power output of a miniaturized wind turbine cluster

Srbinovski Bruno
, Leahy Paul
, Pakrashi Vikram
, Dunne Shane
, Stack Eoin
, Taccetta Marco
, Popovici Emanuel

University of Genoa

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

Abstract

A miniaturized wind turbine cluster intended for educational purposes is used to build a 4x4 model wind turbine farm. This deployment is part of an exercise to model and optimize the output energy associated with the farm. An empirical approach is used to estimate the power and the power coefficient curves from data acquired in the field. An extrapolated power and power factor model is developed for further estimation of the power output of the wind turbines and the efficiency of the turbines at different wind speeds. The proposed approach is simple and requires minimal cost as opposed to other approaches based on wind tunnel measurements. Field experiments are carried out in this regard and the downwind distance and pitch angle are changed in field testing in terms of an experimental parameter study. The work emphasizes the potential of using small-scale models to understand and investigate interaction of wind turbines in a cluster.

Original language	English
Title of host publication	2016 27th Irish Signals and Systems Conference, ISSC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509034093
DOIs	https://doi.org/10.1109/ISSC.2016.7528469
Publication status	Published - 1 Aug 2016
Event	27th Irish Signals and Systems Conference, ISSC 2016 - Londonderry, United Kingdom Duration: 21 Jun 2016 → 22 Jun 2016

Publication series

Name	2016 27th Irish Signals and Systems Conference, ISSC 2016

Conference

Conference	27th Irish Signals and Systems Conference, ISSC 2016
Country/Territory	United Kingdom
City	Londonderry
Period	21/06/16 → 22/06/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

charachterization
miniaturized wind farm
miniaturized wind turbines
monitoring
power coefficient
power curve
predictive power model

Access to Document

10.1109/ISSC.2016.7528469

Cite this

Bruno, S., Paul, L., Vikram, P., Shane, D., Eoin, S., Marco, T., & Emanuel, P. (2016). An empirical estimation of power output of a miniaturized wind turbine cluster. In 2016 27th Irish Signals and Systems Conference, ISSC 2016 Article 7528469 (2016 27th Irish Signals and Systems Conference, ISSC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISSC.2016.7528469

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title = "An empirical estimation of power output of a miniaturized wind turbine cluster",

abstract = "A miniaturized wind turbine cluster intended for educational purposes is used to build a 4x4 model wind turbine farm. This deployment is part of an exercise to model and optimize the output energy associated with the farm. An empirical approach is used to estimate the power and the power coefficient curves from data acquired in the field. An extrapolated power and power factor model is developed for further estimation of the power output of the wind turbines and the efficiency of the turbines at different wind speeds. The proposed approach is simple and requires minimal cost as opposed to other approaches based on wind tunnel measurements. Field experiments are carried out in this regard and the downwind distance and pitch angle are changed in field testing in terms of an experimental parameter study. The work emphasizes the potential of using small-scale models to understand and investigate interaction of wind turbines in a cluster.",

keywords = "charachterization, miniaturized wind farm, miniaturized wind turbines, monitoring, power coefficient, power curve, predictive power model",

author = "Srbinovski Bruno and Leahy Paul and Pakrashi Vikram and Dunne Shane and Stack Eoin and Taccetta Marco and Popovici Emanuel",

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Bruno, S, Paul, L, Vikram, P, Shane, D, Eoin, S, Marco, T & Emanuel, P 2016, An empirical estimation of power output of a miniaturized wind turbine cluster. in 2016 27th Irish Signals and Systems Conference, ISSC 2016., 7528469, 2016 27th Irish Signals and Systems Conference, ISSC 2016, Institute of Electrical and Electronics Engineers Inc., 27th Irish Signals and Systems Conference, ISSC 2016, Londonderry, United Kingdom, 21/06/16. https://doi.org/10.1109/ISSC.2016.7528469

An empirical estimation of power output of a miniaturized wind turbine cluster. / Bruno, Srbinovski; Paul, Leahy; Vikram, Pakrashi et al.
2016 27th Irish Signals and Systems Conference, ISSC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7528469 (2016 27th Irish Signals and Systems Conference, ISSC 2016).

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

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AU - Paul, Leahy

AU - Vikram, Pakrashi

AU - Shane, Dunne

AU - Eoin, Stack

AU - Marco, Taccetta

AU - Emanuel, Popovici

PY - 2016/8/1

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N2 - A miniaturized wind turbine cluster intended for educational purposes is used to build a 4x4 model wind turbine farm. This deployment is part of an exercise to model and optimize the output energy associated with the farm. An empirical approach is used to estimate the power and the power coefficient curves from data acquired in the field. An extrapolated power and power factor model is developed for further estimation of the power output of the wind turbines and the efficiency of the turbines at different wind speeds. The proposed approach is simple and requires minimal cost as opposed to other approaches based on wind tunnel measurements. Field experiments are carried out in this regard and the downwind distance and pitch angle are changed in field testing in terms of an experimental parameter study. The work emphasizes the potential of using small-scale models to understand and investigate interaction of wind turbines in a cluster.

AB - A miniaturized wind turbine cluster intended for educational purposes is used to build a 4x4 model wind turbine farm. This deployment is part of an exercise to model and optimize the output energy associated with the farm. An empirical approach is used to estimate the power and the power coefficient curves from data acquired in the field. An extrapolated power and power factor model is developed for further estimation of the power output of the wind turbines and the efficiency of the turbines at different wind speeds. The proposed approach is simple and requires minimal cost as opposed to other approaches based on wind tunnel measurements. Field experiments are carried out in this regard and the downwind distance and pitch angle are changed in field testing in terms of an experimental parameter study. The work emphasizes the potential of using small-scale models to understand and investigate interaction of wind turbines in a cluster.

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KW - monitoring

KW - power coefficient

KW - power curve

KW - predictive power model

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An empirical estimation of power output of a miniaturized wind turbine cluster

Abstract

Publication series

Conference

UN SDGs

Keywords

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