• 풍력에너지저널
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• 제14권1호
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• pp.5-13
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• 2023

The commercialization has been of great importance to the clean energy research sector for investing the wind farm development, but it would be difficult to reach a social consensus on the need to expand the economic feasibility of renewable energy due to the lack of reliable and continuous information on levelized cost of Energy (LCOE). Regarding this fact, this paper presents the evaluation of LCOE, focusing on Ulsan offshore region targeting to build the first floating offshore wind farm. Energy production is estimated by the meteorology data combined with the Leanwind Project power curve of an exemplar wind turbine. This work aims to analyze the costs of the Capex depending on site-specific variables. The cost of final LCOE was estimated by using Monte-Carlo method, and it became an average range 297,090 KRW/MWh, a minimum of 251,080 KRW/MWh, and a maximum of 341,910 KRW/MWh. In the year 2021, the SMP (system marginal price) and 4.5 REC (renewable energy certificate) can be paid if 1 MWh of electricity is generated by renewable energy. Considering current SMP and REC price, the floating platform industry, which can earn around 502,000 KRW/MWh, can be finally estimated highly competitive in the Korean market.

• 대한전자공학회논문지SD
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• 제43권2호
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• pp.42-50
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• 2006

반도체 공정기술의 발달로 인해 칩의 집적도가 향상되고 높은 성능의 SoC (System On a Chip)의 구현이 가능해졌다. 하지만 이로 인한 칩의 전력 소모량 증가는 칩 설계시의 중요 제한 요소가 되고 있다 칩 설계의 하위 단계로 갈수록 설계의 수정은 시간과 금전적 비용을 기하급수적으로 증가시키기 때문에, 설계의 상위 단계에서부터 칩의 소모 전력을 미리 추정하는 기술은 필수적이다. 이에 본 연구에서는 효율적인 상위 레벨 소모 전력 추정을 위해 회로를 레벨화 하고, 일부 레벨의 스위칭을 기반으로 회로의 소모 전력을 look up 테이블을 이용하여 모델링하였다 제안한 기술을 이용하여 ISCAS'85 벤치마크 회로에 대해 평균 소모 전력을 추정한 결과, 기존에 알려진 소모 전력 추정 기술에 비해 평균 추정 오차를 $9.45\%$에서 $3.84\%$로 크게 개선한 결과를 얻을 수 있었다.

• Advances in Energy Research
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• 제4권2호
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• pp.121-146
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• 2016

This study is concerned with the analysis of two renewable technologies for electric energy production: wind energy and photovoltaic energy. The two technologies were assessed and compared by economic point of view, by using selected indicators characterized by a clear calculation approach, requirement of information easy to be collected, clear, but even complete, interpretation of results. The used economic indicators are Levelized Cost of Energy, $CO_2$ abatement cost and fossil fuel saving specific cost; these last two specifically aimed at evaluating the different capabilities that renewable technologies have to cut down direct $CO_2$ emissions and to avoid fossil fuel extraction. The two technologies were compared also from the environmental point of view by applying Life Cycle Assessment approach and using the environmental impact categories from the Eco-indicator'95 method. The economic analysis was developed by taking into account different energy system sizes and different geographic areas in order to compare different European conditions (Italy, Germany and Denmark) in term of renewable resource availability and market trend. The environmental analysis was developed comparing two particular types of PV and wind plants, respectively residential and micro-wind turbine, located in Italy. According to the three calculated economic indicators, the wind energy emerged as more favorable than PV energy. From the environmental point of view, both the technologies are able to provide savings for almost all the considered environmental impact categories. The proposed approach, based on the use of economic and environmental indicators may be useful in supporting the policies and the decision making procedures concerned with the promotion and use of renewables, in reference to the specific geographic, economic and temporal conditions.