Mobile QR Code QR CODE : The Transactions of the Korean Institute of Electrical Engineers
Title A Study on the Evaluation of the Economics and Environmental Contribution to the Jeju Power System from Tamla Offshore Wind Farm
Authors 정세민(Semin Jeong) ; 오웅진(Ungjin Oh) ; 이연찬(Yeonchan Lee) ; 임진택(Jintaek Lim) ; 이기백(Kibaek Lee) ; 최재석(Jaeseok Choi)
DOI https://doi.org/10.5370/KIEE.2020.69.7.955
Page pp.955-963
ISSN 1975-8359
Keywords Probabilistic Simulation of WTG; Probabilistic Generation Energy; Probabilistic Production Cost; Average Production Cost Unit; CO2 Emission
Abstract This paper proposes an evaluation methodology of the economics and environmental contribution of Tamla offshore wind farm which is owned by KOEN(Korea South-East Power Co, Ltd.). The probabilistic simulation system called “PRAWIN,” which has already been developed by this research team, is used in this study. An alternative new methodology in order to evaluate contribution of WTGs(Wind Turbine Generators) in view point of probabilistic production cost (economics) and CO2 emissions (environment) is developed in this paper. Furthermore, the wind speed contribution functions in view point of probabilistic production cost (economics) and CO2 emissions (environment) are newly formulated and proposed in this paper. The proposed contribution functions describe variation coefficients (sensitivities) of the economics (probabilistic production cost) and environment (CO2 emissions) according to changing wind speed of a wind farm. Using the new contribution functions proposed in this paper, Jeju power system sized model case study including Tamla offshore wind farm is demonstrated. The total production cost, average production cost unit and CO2 emissions of Tamla offshore wind farm are simulated and assessed in the case study. Using the proposed contribution functions, also, the contributions of wind speed of Tamla offshore wind farm in view point of economics (probabilistic production cost) and environment (CO2 emissions) are evaluated in this case study. Finally, It is demonstrated that probabilistic production energies, production costs and CO2 emissions of individual power generator are obtained in the case study