scholarly journals Induced Effects of Environmentally Friendly Generations in Korea

2021 ◽  
Vol 13 (8) ◽  
pp. 4404
Author(s):  
Ji Whan Kim ◽  
Yoon Kyung Kim

This study estimated the induced effects of LNG, mega PV (photovoltaic), small PV, onshore wind and offshore wind power, which will be used as major power sources under the Korea’s energy transition policy. The 2015 Input–Output Statistics of Bank of Korea were used to reflect Korea’s economic structure. The MCI (manufacture, construction and installation) and O&M (operation and maintenance) of each power source would have different effects, so in the analysis the MCI and O&M of each power source were distinguished. According to estimation results, the induced-effect coefficients of the MCI are greater than those of the O&M in every power source. The induced production effect coefficient of the MCI is decreased in the order of mega PV > small PV > LNG power > offshore wind > onshore wind. The induced production effect coefficient of the O&M is decreased in the order of mega PV > small PV > onshore wind > offshore wind > LNG thermal. The induced employment coefficient of the MCI is decreased in the order of LNG thermal > mega PV > small PV > onshore wind > offshore wind. PV power and wind power have bigger induced effects and bring economic effects in Korean economy. The carbon neutrality and energy transition policies implemented by Korea have a certain level of induced effects and offset the burden of transition costs even if existing power sources are replaced with environmentally friendly power sources.

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256381
Author(s):  
Mansoor Khan ◽  
Essam A. Al-Ammar ◽  
Muhammad Rashid Naeem ◽  
Wonsuk Ko ◽  
Hyeong-Jin Choi ◽  
...  

Wind power forecasting plays a key role in the design and maintenance of wind power generation which can directly help to enhance environment resilience. Offshore wind power forecasting has become more challenging due to their operation in a harsh and multi-faceted environment. In this paper, the data generated from offshore wind turbines are used for power forecasting purposes. First, fragmented data is filtered and Deep Auto-Encoding is used to select high dimensional features. Second, a mixture of the CNN and LSTM models is used to train prominent wind features and further improve forecasting accuracy. Finally, the CNN-LSTM deep learning hybrid model is fine-tuned with various parameters for reliable forecasting of wind energy on three different offshore Windfarms. A state-of-the-art comparison against existing models is presented based on root mean square error (RMSE) and mean absolute error (MAE) respectively. The forecasting analyses indicate that the proposed CNN-LSTM strategy is quite successful for offshore wind turbines by retaining the lowest RMSE and MAE along with high forecasting accuracy. The experimental findings will be helpful to design environment resilient energy transition pathways.


2021 ◽  
Vol 23 (1) ◽  
pp. 149
Author(s):  
Liu Jizhen ◽  
Ma Lifei ◽  
Wang Qinghua ◽  
Fang Fang ◽  
Zhu Yankai

2021 ◽  
Vol 13 (13) ◽  
pp. 7473
Author(s):  
Jui-Sheng Chou ◽  
Pin-Chao Liao ◽  
Chung-Da Yeh

Many countries have increased the use of renewable energy and strongly promoted offshore wind power (OWP). However, OWP in Asia is in the preliminary stage of development, for which no precedents exist. The literature on wind energy generation has mostly investigated the causes of onshore wind turbine accidents and risk prevention, and more work on the risks associated with domestic OWP is required for energy market development. According to statistics on international wind power accidents, most offshore accidents occur in the construction and operation stages. Therefore, this work investigates risk management in the construction and operations of offshore windfarms in Taiwan. The goal is to help decision-makers to understand better the risks of the industry and so more effectively manage them. In this study, risk factors are identified from organizing data in the literature, and research methods and action strategies are developed. Research and analysis follow the risk management steps in the PMBOK® Guide (A Guide to the Project Management Body of Knowledge). The risk rankings and preventive measures that are based on the results of this study can serve as references for relevant industry personnel in island cities and nearby Asian countries to reduce risk in the management of OWP projects.


2021 ◽  
Vol 12 ◽  
pp. 70-82
Author(s):  
Ba Nam Pham ◽  
Thi Ngoan Nghiem ◽  
Minh Phuong Dao ◽  
Thi Lan Oanh Nguyen ◽  
Hien Trang Ta ◽  
...  

By 2050, blue hydrogen (produced by SMR method using CCS technology to capture CO2) will make up about 18% of hydrogen supply, whilst green hydrogen from solar power will account for 16%, from onshore wind power 16% and offshore wind power 9%. Global hydrogen demand is forecasted to increase to about 150 million tons by 2040 [1]. The article analyses the objective factors (i.e. size and structure of the economy, technological and social barriers) and policies of countries that affect hydrogen market development.


2020 ◽  
Vol 209 ◽  
pp. 06022
Author(s):  
Vu Minh Phap ◽  
Doan Van Binh ◽  
Nguyen Hoai Nam ◽  
A. V. Edelev ◽  
M. A. Marchenko

Currently, Vietnam‘s energy source structure is being changed by which renewable energy sources play more important role to meet the electricity demand and reduce greenhouse gas emissions from fossil energy sources. Vietnam’s energy development strategy determines to build some renewable energy centers, of which Ninh Thuan is the first province designated to become a national renewable energy center. This is based on Ninh Thuan’s endowment as a province having the largest renewable energy potential in Vietnam. Development of a large renewable energy center allows power system planners to overcome the mismatch in timescales associated with developing transmission power grid and renewable energy generation. Besides, renewable energy center can facilitate a significant pipeline of large-scale renewable energy and storage projects. However, Ninh Thuan province is far away from the major load centers of Vietnam so the calculation and analysis of economic indicators need to be studied. This paper will present the results of the analysis of economic indicators of major renewable electricity sources in Ninh Thuan (onshore wind power, offshore wind power, solar power) to provide scientific arguments for developing a renewable energy center in Vietnam. Also the paper addresses the problem of the large-scale penetration of renewable energy into the power system of Vietnam. The proposed approach presents the optimization of operational decisions in different power generation technologies as a Markov decision process. It uses a stochastic base model that optimizes a deterministic lookahead model. The first model applies the stochastic search to optimize the operation of power sources. The second model captures hourly variations of renewable energy over a year. The approach helps to find the optimal generation configuration under different market conditions.


2013 ◽  
Vol 724-725 ◽  
pp. 561-567
Author(s):  
Ji Cheng Liu ◽  
Ye Li ◽  
Jun Li Liu

Offshore wind power is expected to increase significantly in the near future. This document use the method combined the SWOT and fuzzy comprehensive appraisal to analyze China’s offshore wind industry competitiveness. Firstly, perform qualitative analysis by SWOT and then use fuzzy comprehensive appraisal to transfer qualitative analysis to quantitative analysis for a more objective and accurate evaluation. The final evaluation results show that China’s offshore wind industry is competitive. And China should actively and steadily promote the development of offshore wind industry while should pay attention to draw experience and lessons from onshore wind power.


2014 ◽  
Vol 1049-1050 ◽  
pp. 743-746
Author(s):  
Ya Wei Li

In view of the existing onshore wind developments, this paper points out the problem in the development process, and thus leads to the development direction of offshore wind in China. the European advanced offshore wind power development status is recalled, and China's offshore wind power started developments are expounded. The key technologies of offshore wind power are presented. The problems of Chinese offshore wind power development are analyzed. Finally, the future of Chinese offshore wind power is prospected.


Author(s):  
A. M. Theologi ◽  
M. Ndreko ◽  
J. L. Rueda ◽  
M. A. M. M. van der Meijden ◽  
F. Gonzalez-Longatt

2013 ◽  
Vol 724-725 ◽  
pp. 501-505
Author(s):  
Xuan Xu ◽  
Yuan Zeng ◽  
Xin Ze Wang ◽  
Peng Li ◽  
Yong Zhang

As the wind power penetration continues to increase, one of the main challenges faced in power operation is to maintain the system reliability when committing an appropriate amount of power from a wind farm in the lead time. This paper presents an approximate model for estimating offshore winds in the domain of meteorology, raising the accuracy and comparability between offshore and onshore wind power. And then, considering the discrepancy in wind speed fluctuations between offshore and onshore sites and difference in operation characteristics between double-fed induction generators and permanent magnet synchronous generators, this paper studied the different influences on the reserve capacity due to the offshore and onshore wind farms committing the power system. Comparing with the onshore wind farms, offshore wind farms have more positive effective on the reliability of the grid and are suitable for more economic operation scheme.


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