Simulation-Based Approach for Lookahead Scheduling of Onshore Wind Projects Subject to Weather Risk

Executed outdoors in high-wind areas, adverse weather conditions represent a significant risk to onshore wind farm construction activities. While methods for considering historical weather data during pre-construction scheduling are available, approaches capable of quantitatively assessing how short...

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Main Authors: Emad Mohamed, Parinaz Jafari, Adam Chehouri, Simaan AbouRizk
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/13/18/10060
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spelling doaj-b7b475be3f734f50909a2dd364938e742021-09-26T01:27:57ZengMDPI AGSustainability2071-10502021-09-0113100601006010.3390/su131810060Simulation-Based Approach for Lookahead Scheduling of Onshore Wind Projects Subject to Weather RiskEmad Mohamed0Parinaz Jafari1Adam Chehouri2Simaan AbouRizk3Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB T6G 2W2, CanadaDepartment of Civil and Environmental Engineering, University of Alberta, Edmonton, AB T6G 2W2, CanadaDNV Energy Systems Canada Inc., Montreal, QC H1Y 3N1, CanadaDepartment of Civil and Environmental Engineering, University of Alberta, Edmonton, AB T6G 2W2, CanadaExecuted outdoors in high-wind areas, adverse weather conditions represent a significant risk to onshore wind farm construction activities. While methods for considering historical weather data during pre-construction scheduling are available, approaches capable of quantitatively assessing how short-term weather fluctuations may impact upcoming construction activities have yet to be developed. This study is proposing a hybrid simulation-based approach that uses short-term precipitation, wind speed, and temperature forecasts together with planned and as-built activity durations to develop lookahead (e.g., upcoming 14-day) schedules for improved project planning and control. Functionality and applicability of the method was demonstrated on a case study of a 40 MW onshore wind project, and the method was validated using event validity, face validation, and sensitivity analysis. As expected, favorable weather conditions experienced during the tested lookahead periods resulted in a negligible impact (less than 10% reduction) on the productivity of weather-sensitive activities, which translated into a project delay of one day. The responsiveness of the framework was confirmed through sensitivity analysis, which demonstrated a 50% reduction in productivity resulting from poor weather conditions. The ability of the method to provide decision-support not currently offered by commercially-available scheduling systems was confirmed by subject experts, who endorsed the ability of the method to enhance lookahead scheduling and to facilitate the monitoring and control of weather impact uncertainty on project durations.https://www.mdpi.com/2071-1050/13/18/10060renewable energyonshorewind farmconstructionriskuncertainty
collection DOAJ
language English
format Article
sources DOAJ
author Emad Mohamed
Parinaz Jafari
Adam Chehouri
Simaan AbouRizk
spellingShingle Emad Mohamed
Parinaz Jafari
Adam Chehouri
Simaan AbouRizk
Simulation-Based Approach for Lookahead Scheduling of Onshore Wind Projects Subject to Weather Risk
Sustainability
renewable energy
onshore
wind farm
construction
risk
uncertainty
author_facet Emad Mohamed
Parinaz Jafari
Adam Chehouri
Simaan AbouRizk
author_sort Emad Mohamed
title Simulation-Based Approach for Lookahead Scheduling of Onshore Wind Projects Subject to Weather Risk
title_short Simulation-Based Approach for Lookahead Scheduling of Onshore Wind Projects Subject to Weather Risk
title_full Simulation-Based Approach for Lookahead Scheduling of Onshore Wind Projects Subject to Weather Risk
title_fullStr Simulation-Based Approach for Lookahead Scheduling of Onshore Wind Projects Subject to Weather Risk
title_full_unstemmed Simulation-Based Approach for Lookahead Scheduling of Onshore Wind Projects Subject to Weather Risk
title_sort simulation-based approach for lookahead scheduling of onshore wind projects subject to weather risk
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2021-09-01
description Executed outdoors in high-wind areas, adverse weather conditions represent a significant risk to onshore wind farm construction activities. While methods for considering historical weather data during pre-construction scheduling are available, approaches capable of quantitatively assessing how short-term weather fluctuations may impact upcoming construction activities have yet to be developed. This study is proposing a hybrid simulation-based approach that uses short-term precipitation, wind speed, and temperature forecasts together with planned and as-built activity durations to develop lookahead (e.g., upcoming 14-day) schedules for improved project planning and control. Functionality and applicability of the method was demonstrated on a case study of a 40 MW onshore wind project, and the method was validated using event validity, face validation, and sensitivity analysis. As expected, favorable weather conditions experienced during the tested lookahead periods resulted in a negligible impact (less than 10% reduction) on the productivity of weather-sensitive activities, which translated into a project delay of one day. The responsiveness of the framework was confirmed through sensitivity analysis, which demonstrated a 50% reduction in productivity resulting from poor weather conditions. The ability of the method to provide decision-support not currently offered by commercially-available scheduling systems was confirmed by subject experts, who endorsed the ability of the method to enhance lookahead scheduling and to facilitate the monitoring and control of weather impact uncertainty on project durations.
topic renewable energy
onshore
wind farm
construction
risk
uncertainty
url https://www.mdpi.com/2071-1050/13/18/10060
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AT parinazjafari simulationbasedapproachforlookaheadschedulingofonshorewindprojectssubjecttoweatherrisk
AT adamchehouri simulationbasedapproachforlookaheadschedulingofonshorewindprojectssubjecttoweatherrisk
AT simaanabourizk simulationbasedapproachforlookaheadschedulingofonshorewindprojectssubjecttoweatherrisk
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