• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.21 no.10
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• pp.564-574
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• 2009

The study is conducted to study a new, optimum and new and renewable energy application method that can cover the minimum energy and operation costs within a range of school budgets. By deriving the optimum application method, it is expected to maximize the cooling/heating and hot water supply energy saving efficiencies for educational facilities. Therefore, this research implemented a study on the new and renewable energy utilization technique diffusion expansion method and the optimum method. As a result, the first optimum plan was introduced with the multi-type geothermal heat pump 475.6 kW+highly efficient electronic cooling/heating device(EHP) 545.2 kW. On the other hand, the second optimum plan was induced as the multi-type geothermal heat pump 261kW+solar heat collector $240\;m^2$+highly efficient electronic cooling/heating device(EHP) 759.8 kW.

• Smart Media Journal
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• v.9 no.1
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• pp.84-91
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• 2020

Along with increasing the renewable energy utilization, many researches have paid attention on the utilization and efficiency of energy storage systems. Especially, it is required an operational model in order to actively respond with each system's failure of sub-systems in the solar energy storage system. This paper proposes an energy management scheme by estimating the newly generated power based on the solar power generation samples. With comparing the estimated battery charging power in real time and the total charging power of the battery rack, a charge model is applied to adjust the charging power, As a result, the stability of energy storage system would be improved by suppressing the battery heat while maintaining battery C-Rate.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.05a
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• pp.197-198
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• 2018

In recent years, diversified demand for marine utilization has been increasing not only through the development projects for the utilization of the conventional coastal zone but also by the development of marine leisure sports and marine energy. It is very important to understand the characteristics of blue for safe and economical utilization of the ocean. Using the observed wave data, we derive the wave parameters to represent the irregular sea state proposed in the previous studies and examine the relationship between them to confirm the characteristics of the ocean wave.

• Journal of Korean Society of Water and Wastewater
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• v.34 no.6
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• pp.403-410
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• 2020

The difficulty of securing freshwater sources is increasing with global climate change. On the other hand, seawater is less affected by climate change and regarded as a stable water source. For utilizing seawater as freshwater, seawater desalination technologies should be employed to reduce the concentration of salts. However, current desalination technologies might accelerate climate change and create problems for the ecosystem. The desalination technologies consume higher energy than conventional water treatment technologies, increase carbon footprint with high electricity use, and discharge high salinity of concentrate to the ocean. Thus, it is critical to developing green desalination technologies for sustainable desalination in the era of climate change. The energy consumption of desalination can be lowered by minimizing pump irreversibility, reducing feed salinity, and harvesting osmotic energy. Also, the carbon footprint can be reduced by employing renewable energy sources to the desalination system. Furthermore, the volume of concentrate discharge can be minimized by recovering valuable minerals from high-salinity concentrate. The future green seawater desalination can be achieved by the advancement of desalination technologies, the employment of renewable energy, and the utilization of concentrate.

• Journal of international Conference on Electrical Machines and Systems
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• v.1 no.4
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• pp.425-433
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• 2012

As the demand for electric power increases rapidly and the amount of fossil fuels decreases year by year, making use of renewable resources seem very necessary. However, due to the discontinuous nature of renewable resources and the hierarchical topology of existing grids, power quality and grid stability will deteriorate as more and more distributed generations (DGs) are connected to the grids. It is a good idea to combine local utilization, local consumption, energy storage and DGs to form a grid-friendly micro grid, these micro grids can then assembled into an intelligent power system - the smart Grid. It can optimize power flow and integrate power generation and consumption effectively. Most importantly, the power quality and grid stability can be improved greatly. This paper depicts how the smart grid addresses the current issues of a power system. It also figures out the key technologies and expectations of the smart grid.

• 한국신재생에너지학회:학술대회논문집
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• 2005.06a
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• pp.669-673
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• 2005

World geothermal resources potential is estimated to supply 189 EJ annually, which can take charge approximately a half of annual world energy consumpt ion, from considering identified resources and supplies in USA and Iceland. Present annual use of geothermal energy, on the other hand, is only $0.1\%$ of its potential, but still has $70\%$ share among total new renewables. World-wide installed capacity of geothermal power generation reaches 8,900 MWe and 27,825 MWt for direct uses in 2005 which is almost two-fold increase over 2000. This increase is mainly due to exploding expansion of geothermal heat pump utilization: USA and western European countries lead these trends. Although geothermal heat pump distribution in Korea is still in its starting phase, comparing to Swiss achievement in terms of areal utilization sense, we expect to come up with national supply of over 600,000 toe in near future.

• International Journal of Computer Science & Network Security
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• v.22 no.5
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• pp.1-4
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• 2022

The growth in global population and industrialization has led to an increasing demand for electricity. Accordingly, the electricity providers need to increase the electricity generation. Due to the economical and environmental concerns associated with the generation of electricity from fossil fuels. Alternative power recourses that can potentially mitigate the economical and environmental are of interest. Renewable energy resources are promising recourses that can participate in producing power. Among renewable power resources, solar energy is an abundant resource and is currently a field of research interest. Photovoltaic solar power is a promising renewable energy resource. The power output of PV systems is mainly affected by the solar irradiation and ambient temperature. this paper investigates the utilization of machine learning unsupervised neural network techniques that potentially improves the reliability of PV solar power systems during integration into the electrical grid.

• New & Renewable Energy
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• v.20 no.1
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• pp.70-77
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• 2024

This study examines the issues regarding the selection competition process of offshore wind power operators conducted in Japan in 2020. It also explores the implications of the findings on the legal system of Korea for the introduction of offshore wind power in the future. Drawing on Japan's example, Korea must reconsider the importance of the price aspect when introducing offshore wind power and adopt policies that prioritize balanced industrial development and focus on regional and domestic economic ripple effects.

• New & Renewable Energy
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• v.18 no.2
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• pp.18-25
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• 2022

In this study, we propose a wind power generation prediction system that applies machine learning and data mining to predict wind power generation. This system increases the utilization rate of new and renewable energy sources. For time-series data, the data set was established by measuring wind speed, wind generation, and environmental factors influencing the wind speed. The data set was pre-processed so that it could be applied appropriately to the model. The prediction system applied the CNN (Convolutional Neural Network) to the data mining process and then used the LSTM (Long Short-Term Memory) to learn and make predictions. The preciseness of the proposed system is verified by comparing the prediction data with the actual data, according to the presence or absence of data mining in the model of the prediction system.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.255-256
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• 2015

The increasing penetration of renewable energy based distributed generation(DG) sources in low-voltage grid feeders has been receiving increased attention. High penetration of renewable energy generation in a distribution system can cause power quality and efficiency problem. In this paper, the operating plan for ESS and the efficiency analysis on RES(Renewable energy source) concentrated distribution system.