• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2013.11a
• /
• pp.234-235
• /
• 2013

Recently, interest in renewable energy is rising in rural areas in order to reduce heating and air-conditioning costs which are directly connected to farmhouse income. Thus, in this paper, I study renewable energy supporting projects in rural area: I analyze distribution of the Agriculture & Fishery Energy use Efficiency Project and 1 Million the Green Homes program by using project performance data and the data of Korea Energy Handbook. The results of my analysis of the two programs show that, while annual average increase of the 1 million Green homes prgram is 15.6%, the distribution rate of heating and air-conditioning facilities using geothermal heating and cooling system of the project has decreased by average 37% every year.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.25 no.3
• /
• pp.299-305
• /
• 2015

Global environmental concerns and the ever increasing need of energy, coupled with steady progress in renewable energy technologies, are opening up new opportunities for utilization of renewable energy resources. Distributed electricity generation is a suitable option for sustainable development thanks to the load management benefits and the opportunity to provide electricity to remote areas. Solar energy being easy to harness, non-polluting and never ending is one of the best renewable energy sources for electricity generation in present and future time. Due to the random and intermittent nature of solar source, PV plants require the adoption of an energy storage and management system to compensate fluctuations and to meet the energy demand during night hours. This paper presents an efficient, economic and technical model for the design of a MPPT based grid connected PV with battery storage and management system. This system satisfies the energy demand through the PV based battery energy storage system. The aim is to present PV-BES system design and management strategy to maximize the system performance and economic profitability. PV-BES (photovoltaic based battery energy storage) system is operated in different modes to verify the system feasibility. In case of excess energy (mode 1), Li-ion batteries are charged using CC-CV mechanism effectively controlled by fuzzy logic based PID control system whereas during the time of insufficient power from PV system (mode 2), batteries are used as backup to compensate the power shortage at load and likewise other modes for different scenarios. This operational mode change in PV-BES system is implemented by State flow chart technique based on SOC, DC bus voltages and solar Irradiance. Performance of the proposed PV-BES system is verified by some simulations study. Simulation results showed that proposed system can overcome the disturbance of external environmental changes, and controls the energy flow in efficient and economical way.

• The Journal of Asian Finance, Economics and Business
• /
• v.9 no.5
• /
• pp.201-211
• /
• 2022

The economic development of most countries in the world has negatively impacted fossil energy resources. Fossil energy sources such as petroleum and coal are increasingly depleted. When energy sources are exhausted, renewable energy sources are growing strongly. Renewable energy development can help to replace diminishing fossil fuels. Furthermore, the usage of renewable energy can contribute to a green economy and sustainable development by protecting the environment. Solar power on the roof is one of the many renewable energy sources available. But at present, the investment in roof voltage systems has not developed strongly in Vietnam. This paper uses the SEM model to evaluate the factors affecting investment in rooftop solar power in some provinces of Vietnam. The article uses the household interview method. The article has given 8 factors affecting the decision to invest in rooftop solar power for households. Research results show that most of the factor variables have a positive impact on the decision to invest in rooftop solar power. Based on assessing the factors affecting the decision to invest in rooftop solar power, the article will provide conclusions and policy suggestions to increase investment in rooftop solar power in Vietnam.

• Plant Journal
• /
• v.17 no.3
• /
• pp.34-36
• /
• 2021

The interest in renewable energy-based distributed power generation systems is increasing due to the recognitions of the breakthrough of existing centralized power generation, energy conversion, and environmental problems. In this study, the optimal capacity was selected by simulating a distributed power generation system based on PV and WT using lead acid batteries as the energy storage system. CHP was adopted as the existing power source, and the optimal capacity of the system was derived through MOGA according to the operating modes(full load/part load) of the existing power source. In addition, it was confirmed that the battery life differs when the battery charging method is changed at the same battery capacity. Therefore, for economical and stable power supply and demand, the capacity selection of the distributed generation system considering the battery charging method should be performed.

• Journal of the Korean Solar Energy Society
• /
• v.40 no.2
• /
• pp.1-10
• /
• 2020

Korea government published renewable energy obligation policy that public building must be supplied some part of total consumption energy (2019: 27%, 2020: 30%). RETScreen is freely available global energy tool that developed by Canadian National Energy Laboratory to quantify energy saving to compare conventional system. This program can be performed energy modeling, cost analysis, greenhouse gas emission analysis and financial analysis. In this study, GSHP (Ground source heat pump) heating and cooling system were studied for the energy deliverly and ROI (Return On Investment) in an office building. Three cases were studied according to the number of HP (Heat pump) units for the 1,000㎡ office building located in Daejeon. Results indicated that the energy delivery of the case 1 (1 HP unit) covered 57% of the office building heating and cooling energy consumption. The case 2 (2 HP units) covered 87.8% and the case 3 (3 HP units) covered 96.8% of the office building energy consumption. The ROI of the case 1 indicated 7.9 years. While 8.2 years for the case 2 and 9.7 years for the case 3.

• Journal of The Korean Society of Agricultural Engineers
• /
• v.50 no.3
• /
• pp.105-112
• /
• 2008

Solar energy, which is one of renewable energy, would be the most useful resources that can be applied to making energy recycling villages without using fossil energy. This study analyzed energy potential on solar energy considering weather condition in three traditional villages and compared with energy consumption surveyed. A photovoltaic system having 3.0kWp capacity of unit module can generate 182.5%, 96.1% and 170.9% of the yearly mean consumption of electric power in Makhyun, Boojang, and Soso, respectively. A flat-plate solar collector having $2.64m^2$ area of unit module can generate warm water of $142{\ell}$/day, $89{\ell}$/day, and $173{\ell}$/day, respectively in three study villages. In Makhyun and Soso, photovoltaic power and warm water produced by solar energy were sufficient to supply required amount of electric power and warm water. However, both electric power and warm water produced by unit solar module were not sufficient in Boojang area, and so it is required to increase the module area by more than 50%. According to the results of this study, the appropriate combination of energy resources can be applied to rural green-village planning if the characteristic of energy potential for each local area is considered.

• Journal of the Korea Organic Resources Recycling Association
• /
• v.20 no.2
• /
• pp.20-23
• /
• 2012

본 연구는 유기성폐기물을 처리하고 그것을 이용하여 고체연료 또는 퇴비를 생산하는 종합시스템에 관한 것이다. 유기성폐기물은 90% 전후의 높은 함수율을 나타내고 있기 때문에 처리에 중점을 두어야 할 부분이 수분 처리 방법이다. 따라서 기존의 처리방법으로는 고액분리하여 처리 후 하천에 방류하는 시스템에 의해 처리되고 있다. 하지만 본 연구에서는 기술개발의 차별화 및 선행기술의 회피 전략을 위해, 유기성폐기물의 수분을 건조시키는 방법으로 미생물이 유기성폐기물의 유기물을 분해하여 발생 되는 $80^{\circ}C$ 이상의 열에너지에 의해 수분을 제거하는 발열반응을 적용하여 수분을 제거하는 무방류시스 템이다. 뿐만 아니라 고체연료의 발열량을 높이기 위해서 무연탄, 코크스, 기름 등의 열량보조제를 첨 가하는 대신에 유기성폐기물을 첨가 한 후 적당한 발열반응 및 건조시켜 고체연료를 제조하는 방법으 로 4,000kcal/kg 이상의 높은 발열량을 얻을 수 있으며 불완전연소 등에 의한 2차 오염을 방지할 수 있는 기술이다. 따라서 친환경 미생물 발열반응에 의해 유기성폐기물을 저렴한 비용으로 액상 및 고상 을 동시에 처리 할 수 있으며, 고체연료를 제조할 수 있는 새로운 신기술이다.

• New & Renewable Energy
• /
• v.10 no.3
• /
• pp.31-38
• /
• 2014

The importance of energy is growing according to the energy shortage and environmental concerns. Accordingly, in order to solve the problems about the use of fossil fuel, a renewable energy sources are needed. Global renewable energy power industry's position in the renewable energy market becomes important and new technology development is also essential. MG set composed by the induction motor and permanent magnet synchronous generator for simulating a renewable energy source is based on a suitable experiment equipment. The torque generated by applying a voltage to the induction motor in MG set is used as an input of the permanent magnet synchronous generator. In Psim simulation, the characteristics of the induction motor model was formulated and the output torque characteristics of the motor was controlled using the induction motor side inverter, In this paper, the comparison analysis between Psim simulation and the output characteristics of the MG set is performed in order to identify a renewable energy power system more accurately.

• Journal of Advanced Marine Engineering and Technology
• /
• v.32 no.3
• /
• pp.387-393
• /
• 2008

This paper has dealt with the probability of oyster shell desiccant cooling system driven by renewable energy of photo-volatic effect with fundamental experiment. The test materials for desiccant are activated charcoal, silica-gel, hi-dry, and oyster shell. The experiments were mainly performed with focusing on the observation of surface features, adsorption amounts of the adsorbent species, and the effect of temperature. Oyster shell has sufficient probability for using as desiccant in a air-conditioning system. Moreover, the heat releasing device would be attached in the system, the system based with oyster shell can be operated with high efficiency.

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