An approach to assess offshore wind power potential using bathymetry and near-hub-height reanalysis data

被引：10

作者：

Tahir, Zia ul Rehman ^{[1
]}

Abdullah, Muhammad ^{[1
,2
]}

Ahmad, Sajeer ^{[1
,3
]}

Kanwal, Ammara ^{[1
]}

Farhan, Muhammad ^{[1
]}

Bin Saeed, Usama ^{[1
]}

Ali, Tariq ^{[1
]}

Amin, Imran ^{[1
]}

机构：

[1] Univ Engn & Technol Lahore, Fac Mech Engn, Lahore, Pakistan

[2] Univ Coll Cork, Dept Mech Engn, Cork, Ireland

[3] Khalifa Univ, Dept Mech Engn, Abu Dhabi, U Arab Emirates

来源：

OCEAN ENGINEERING | 2023年 / 280卷

关键词：

Wind resource assessment; Bathymetry; ERA-5 reanalysis data; Commercial wind turbine; Offshore wind farm; RESOURCE ASSESSMENT; ENERGY RESOURCE; SOLAR-RADIATION; RENEWABLE ENERGY; FARMS; CHINA; OPTIMIZATION; VARIABILITY; SIMULATION; TURBINES;

D O I：

10.1016/j.oceaneng.2023.114458

中图分类号：

U6 [水路运输]; P75 [海洋工程];

学科分类号：

0814 ; 081505 ; 0824 ; 082401 ;

摘要：

Offshore wind power is emerging option in wind industry due to relatively consistent wind behavior over ocean. This study aims to access offshore wind resource employing a novel approach using bathymetry data, in-situ measured and 5th generation European Reanalysis (ERA-5) wind data. The measured wind data for four nearcoast locations was used in Exclusive Economic Zone (EEZ) of Pakistan. The percentage bias for wind speed and wind direction of ERA-5 data compared to measured data for coastline location is -0.2% and -0.9% respectively, which shows suitability of ERA-5 data for offshore resource assessment with acceptable accuracy. Annual mean wind speed and wind power density of the EEZ is 6.1 m/s and 263 W/m2 respectively. The northeastern part of the EEZ near coastline of Sindh province is most suitable for offshore wind farms. An offshore wind farm site suitable for monopile foundation having wind power class as Fair was selected. The performance of more than 400 commercial wind turbines was evaluated and a 4.5 MW turbine having highest net capacity factor (NCF) was selected. The capacity factor of suggested wind farm having installed capacity of 540 MW is computed as 55% which can avoid 1.45 million tons in CO2eq emissions annually.

引用

页数：17