Wind energy resource assessment for Suva, Fiji, with accurate Weibull parameters

被引:17
|
作者
Kutty, Saiyad S. [1 ]
Khan, M. G. M. [2 ]
Ahmed, M. Rafiuddin [1 ]
机构
[1] Univ South Pacific, Sch Engn, Laucala Campus,Laucala Bay Rd, Suva, Fiji
[2] Univ South Pacific, Sch Comp Informat & Math Sci, Suva, Fiji
关键词
Wind energy; Weibull distribution; wind shear coefficient; turbulence intensity; economic analysis; wind atlas analysis and application program; STATISTICAL-ANALYSIS; SPEED; GENERATION;
D O I
10.1177/0144598719842379
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Wind resource assessment is carried out for Suva, the capital of the Republic of Fiji Islands. The wind speeds at 34 m and 20 m above ground level, wind direction, atmospheric pressure, and temperature were measured for more than five years and were statistically analyzed. The daily, monthly, yearly, and seasonal averages were estimated. For the site, the overall average wind speed at 34 m above ground level is found to be 5.18 m/s. The occurrence of effective wind (between the cut-in and cut-off wind speeds of the selected turbine) is predominantly from the east. An effective wind speed of 74.175% was recorded which can be used for power generation. The turbulence intensity and wind shear coefficient are estimated. The site's overall turbulence intensities are 12.5% and 13.72% at 34 m and 20 m above ground level, respectively. The diurnal wind shear correlated with the temperature variation very well. The overall and seasonal wind distributions are analyzed, which shows that the wind speed in Suva is mostly between 3 m/s and 9 m/s although the winter season has higher wind speeds. The Weibull parameters and the wind power density were found using 10 different methods. The wind power density is estimated to be 159 W/m(2) using the best method, which is found to be the empirical method of Justus. A high-resolution map around the site is digitized and the wind power density resource map is generated using wind atlas analysis and application program. From the wind atlas analysis and application program analysis, it is seen that Suva has high potential for power generation. Five possible locations are selected for installing wind turbines and the annual energy production is estimated using wind atlas analysis and application program. The total annual energy production from the five sites is 1950 MWh. The average capacity factor of the five turbines is 17%. An economic analysis is performed which showed a payback period of 10.83 years.
引用
收藏
页码:1009 / 1038
页数:30
相关论文
共 50 条
  • [21] Estimation of wind energy potential and comparison of six Weibull parameters estimation methods for two potential locations in Nepal
    Pandeya, Bibek
    Prajapati, Bibek
    Khanal, Aayush
    Regmi, Basant
    Shakya, Shree Raj
    INTERNATIONAL JOURNAL OF ENERGY AND ENVIRONMENTAL ENGINEERING, 2022, 13 (03) : 955 - 966
  • [22] Four heuristic optimization algorithms applied to wind energy: determination of Weibull curve parameters for three Brazilian sites
    de Andrade, Carla Freitas
    dos Santos, Lindemberg Ferreira
    Silveira Macedo, Marcus V.
    Costa Rocha, Paulo A.
    Gomes, Felipe Ferreira
    INTERNATIONAL JOURNAL OF ENERGY AND ENVIRONMENTAL ENGINEERING, 2019, 10 (01) : 1 - 12
  • [23] Comparative study of offshore wind energy potential assessment using different Weibull parameters estimation methods
    Patidar, Harsh
    Shende, Vikas
    Baredar, Prashant
    Soni, Archana
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (30) : 46341 - 46356
  • [24] Comparative study of offshore wind energy potential assessment using different Weibull parameters estimation methods
    Harsh Patidar
    Vikas Shende
    Prashant Baredar
    Archana Soni
    Environmental Science and Pollution Research, 2022, 29 : 46341 - 46356
  • [25] Assessment of Wind Energy Prospect by Weibull Distribution for Prospective Wind Sites in Australia
    Azad, Kalam
    Rasul, Mohammad
    Halder, Pobitra
    Sutariya, J.
    2ND INTERNATIONAL CONFERENCE ON ENERGY AND POWER (ICEP2018), 2019, 160 : 348 - 355
  • [26] Estimation of weibull parameters for wind energy application in Iran's cities
    Sedghi, Majid
    Hannani, Siamak K.
    Boroushaki, Mehrdad
    Wind and Structures, An International Journal, 2015, 21 (02): : 203 - 221
  • [27] Assessment of Wind Energy based on Optimal Weibull Parameters Estimation using Bald Eagle Search Algorithm: Case Studies from Egypt
    Abou El-Ela, Adel A.
    El-Sehiemy, Ragab A.
    Shaheen, Abdullah M.
    Shalaby, Ayman S.
    JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2023, 18 (06) : 4061 - 4078
  • [28] Wind energy potential assessment for KPT with a comparison of different methods of determining Weibull parameters
    Hulio, Zahid Hussain
    Jiang, Wei
    INTERNATIONAL JOURNAL OF ENERGY SECTOR MANAGEMENT, 2020, 14 (01) : 59 - 84
  • [29] Estimation of weibull parameters for wind energy application in Iran's cities
    Sedghi, Majid
    Hannani, Siamak K.
    Boroushaki, Mehrdad
    WIND AND STRUCTURES, 2015, 21 (02) : 203 - 221
  • [30] Statistical analysis of wind resource and energy potential assessment of Quaidabad site, Sindh Pakistan
    Hulio, Zahid Hussain
    Yousufzai, Gm
    Jiang, Wei
    JOURNAL OF ENGINEERING DESIGN AND TECHNOLOGY, 2021, 19 (06) : 1291 - 1316