The wind energy potential in Kudat Malaysia by considering the levelized cost of energy for combined wind turbine capacities

被引:5
|
作者
Albani, A. [1 ]
Ibrahim, M. Z. [1 ]
Yong, K. H. [1 ]
Yusop, Z. M. [1 ]
Jusoh, M. A. [1 ]
Ridzuan, A. R. [2 ]
机构
[1] Univ Malaysia Terengganu, Fac Ocean Engn Technol & Informat, Eastern Corridor Renewable Energy ECRE, Terengganu, Malaysia
[2] Univ Teknol MARA, Fac Business & Management, Melaka, Malaysia
关键词
LCOE; wind energy; low wind speed; wind turbine; Malaysia; FEED-IN TARIFF; RENEWABLE ENERGY; WEIBULL; SYSTEM; SITE;
D O I
10.1177/0958305X20937006
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper presents the wind energy potential at Kudat Malaysia by considering the Levelized cost of energy (LCOE) model for combined wind turbine capacities. The combination of small- and utility-scale wind turbines is the key to the success of the operation of a wind park in the lower wind speed region. In a combination approach, the small-scale wind turbines provide the power required by the utility-scale wind turbines to start the blade rotation. For this reason, the particular closed-form equation was modified to determine the LCOE of a wind park with combined turbine capacities. The modified LCOE model can be used as a basis for setting tariff rates or define the economic feasibility of wind energy projects with combined wind turbine capacities.
引用
收藏
页码:1149 / 1169
页数:21
相关论文
共 50 条
  • [31] A Review of Wind Station Data Modeling For Wind Turbine Reliability Enhancement To Optimize Wind Energy Considering Turbine Design
    Shirsath, Vaishali
    Agrawal, Rahul
    2020 5TH IEEE INTERNATIONAL CONFERENCE ON RECENT ADVANCES AND INNOVATIONS IN ENGINEERING (IEEE - ICRAIE-2020), 2020,
  • [32] Multidisciplinary design optimization of offshore wind turbines for minimum levelized cost of energy
    Ashuri, T.
    Zaaijer, M. B.
    Martins, J. R. R. A.
    van Bussel, G. J. W.
    van Kuik, G. A. M.
    RENEWABLE ENERGY, 2014, 68 : 893 - 905
  • [33] Uncertainty and global sensitivity analysis of levelized cost of energy in wind power generation
    Dong, Mi
    Li, Ya
    Song, Dongran
    Yang, Jian
    Su, Mei
    Deng, Xiaofei
    Huang, Lingxiang
    Elkholy, M. H.
    Joo, Young Hoon
    ENERGY CONVERSION AND MANAGEMENT, 2021, 229 (229)
  • [35] Levelized Cost of Energy Analysis of a Wind Power Generation System at Burfell in Iceland
    Ragnarsson, Birgir Freyr
    Oddsson, Gudmundur V.
    Unnthorsson, Runar
    Hrafnkelsson, Birgir
    ENERGIES, 2015, 8 (09): : 9464 - 9485
  • [36] Wind turbine performance analysis for energy cost minimization
    Charabi, Yassine
    Abdul-Wahab, Sabah
    Renewables: Wind, Water, and Solar, 2020, 7 (01):
  • [37] UWB Wind Turbine Blade Deflection Sensing for Wind Energy Cost Reduction
    Zhang, Shuai
    Jensen, Tobias Lindstrom
    Franek, Ondrej
    Eggers, Patrick C. F.
    Olesen, Kim
    Byskov, Claus
    Pedersen, Gert Frolund
    SENSORS, 2015, 15 (08): : 19768 - 19782
  • [38] Wind Turbine Optimization for Minimum Cost of Energy in Low Wind Speed Areas Considering Blade Length and Hub Height
    Yang, Han
    Chen, Jin
    Pang, Xiaoping
    APPLIED SCIENCES-BASEL, 2018, 8 (07):
  • [39] Analysis of Wind Energy Potential and Vibrations Caused by Wind Turbine on Its Basement
    Kalab, Zdenek
    Hanslian, David
    Stolarik, Martin
    Pinka, Miroslav
    ACTA MONTANISTICA SLOVACA, 2014, 19 (03) : 151 - 159
  • [40] Wind energy and assessment of wind energy potential in Turkey
    Ilkilic, Cumali
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2012, 16 (02): : 1165 - 1173