Forecastability as a Design Criterion in Wind Resource Assessment

Jie Zhang; Brian Hodge

doi:10.1016/B978-0-444-63433-7.50095-X

Forecastability as a Design Criterion in Wind Resource Assessment

Jie Zhang, Brian Hodge

Power Systems Engineering

Research output: Contribution to conference › Paper › peer-review

1 Scopus Citations

Abstract

This paper proposes a methodology to include the wind power forecasting ability, or "forecastability," of a site as a design criterion in wind resource assessment and wind power plant design stages. The Unrestricted Wind Farm Layout Optimization (UWFLO) methodology is adopted to maximize the capacity factor of a wind power plant. The 1-hour-ahead persistence wind power forecasting method is used to characterize the forecastability of a potential wind power plant, thereby partially quantifying the integration cost. A trade-off between the maximum capacity factor and the forecastability is investigated.

Original language	American English
Pages	663-668
Number of pages	6
DOIs	https://doi.org/10.1016/B978-0-444-63433-7.50095-X https://doi.org/10.1016/B978-0-444-63433-7.50095-X
State	Published - 2014
Event	8th International Conference on Foundations of Computer-Aided Process Design - Duration: 13 Jul 2014 → 17 Jul 2014

Conference

Conference	8th International Conference on Foundations of Computer-Aided Process Design
Period	13/07/14 → 17/07/14

Bibliographical note

See NREL/CP-5D00-61398 for preprint

NREL Publication Number

NREL/CP-5D00-62482

Keywords

Forecastability
Grid integration
Layout optimization
Turbine selection
Wind forecasting
Wind power plant design
Wind resource assessment

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title = "Forecastability as a Design Criterion in Wind Resource Assessment",

abstract = "This paper proposes a methodology to include the wind power forecasting ability, or {"}forecastability,{"} of a site as a design criterion in wind resource assessment and wind power plant design stages. The Unrestricted Wind Farm Layout Optimization (UWFLO) methodology is adopted to maximize the capacity factor of a wind power plant. The 1-hour-ahead persistence wind power forecasting method is used to characterize the forecastability of a potential wind power plant, thereby partially quantifying the integration cost. A trade-off between the maximum capacity factor and the forecastability is investigated.",

keywords = "Forecastability, Grid integration, Layout optimization, Turbine selection, Wind forecasting, Wind power plant design, Wind resource assessment",

author = "Jie Zhang and Brian Hodge",

note = "See NREL/CP-5D00-61398 for preprint; 8th International Conference on Foundations of Computer-Aided Process Design ; Conference date: 13-07-2014 Through 17-07-2014",

year = "2014",

doi = "10.1016/B978-0-444-63433-7.50095-X",

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AU - Zhang, Jie

AU - Hodge, Brian

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PY - 2014

Y1 - 2014

N2 - This paper proposes a methodology to include the wind power forecasting ability, or "forecastability," of a site as a design criterion in wind resource assessment and wind power plant design stages. The Unrestricted Wind Farm Layout Optimization (UWFLO) methodology is adopted to maximize the capacity factor of a wind power plant. The 1-hour-ahead persistence wind power forecasting method is used to characterize the forecastability of a potential wind power plant, thereby partially quantifying the integration cost. A trade-off between the maximum capacity factor and the forecastability is investigated.

AB - This paper proposes a methodology to include the wind power forecasting ability, or "forecastability," of a site as a design criterion in wind resource assessment and wind power plant design stages. The Unrestricted Wind Farm Layout Optimization (UWFLO) methodology is adopted to maximize the capacity factor of a wind power plant. The 1-hour-ahead persistence wind power forecasting method is used to characterize the forecastability of a potential wind power plant, thereby partially quantifying the integration cost. A trade-off between the maximum capacity factor and the forecastability is investigated.

KW - Forecastability

KW - Grid integration

KW - Layout optimization

KW - Turbine selection

KW - Wind forecasting

KW - Wind power plant design

KW - Wind resource assessment

UR - http://www.scopus.com/inward/record.url?scp=84904357657&partnerID=8YFLogxK

U2 - 10.1016/B978-0-444-63433-7.50095-X

DO - 10.1016/B978-0-444-63433-7.50095-X

M3 - Paper

AN - SCOPUS:84904357657

SP - 663

EP - 668

T2 - 8th International Conference on Foundations of Computer-Aided Process Design

Y2 - 13 July 2014 through 17 July 2014

ER -

Forecastability as a Design Criterion in Wind Resource Assessment

Abstract

Conference

Bibliographical note

NREL Publication Number

Keywords

Access to Document

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