• 한국신재생에너지학회:학술대회논문집
• /
• 2010.06a
• /
• pp.246.2-246.2
• /
• 2010

본 연구는 저탄소 녹색성장의 국가 정책에 맞추어 주류 제조과정에서 발생하는 생전분발효 부산물인 주박(酒粕, 술지게미)을 펠릿화(pellet) 하는 것이 목적이다. 주류 제조과정에서 발생하는 주박을 100g당 물 100ml 비율로 섞어 충분히 반죽 후 녹즙기로 압축 성형화 하는 과정을 대신 하여 주박을 뽑았다. 이 주박을 온열 건조기에서 20시간이상 건조 시키면 완성이 된다. 주박펠릿은 폐기물을 재활용한 것이기 때문에 열량-가격대비를 비교해 보았을 때 등유 8950kcal-1000원/L, 경유 9050kcal-1433원/L, 면세경유 9050kcal-821/L, 우드 1812kcal-400원/kg, 주박 1989kcal-200원/kg으로 훨씬 저렴하며 열량도 높다. 주류업체에서 주박을 폐기물 처리하므로 가격 책정은 어렵다. $CO_2$ 발생량도 적어 온실가스를 절감시킬 수 있는 친환경적인 청정연료이다. 또한 연료로서 운송, 저장 및 보관이 편리하다. 주류업체도 주박 처리로 인해 연간 12억 정도 사용된다. 폐기물을 에너지화 함으로써 타 신재생에너지에 비해 초기 투자 비용이나 연료비가 저렴하다. 그리고 태우고 남은 회분은 토양개량제로 다시 재활용 되기 때문에 무해백익하다. 현재 폐목재를 사용한 우드펠릿은 원료를 수입해야 한다는 점과 삼림자원의 부족시 문제가 발생할 수 있다. 그리고 폐목재를 분쇄한 후 가공 및 성형을 해야 하기 때문에 주박이 효율성이 좋다. 현재 세계에서 가장 많이 사용되고 있는 석유나 화석연료의 매장량이 고갈 되어가고 있다. 하지만 주박은 술이 사라지지 않는 한 계속적으로 발생하기 때문에 무궁무진하게 사용이 가능하다. 또한 주류 제조시 발생하는 주박은 바로 성형 및 가공이 용이하다. 현재 주박으로 만든 펠릿은 전 세계적으로 전무하다. 막걸리 및 전통술의 특화사업으로 주박량은 더욱 증가하고 있다. 더욱이 2012년부터 해양 투기 금지로 주박 폐기물 처리가 힘들어진다. 주박 폐기물을 펠릿화해서 에너지원으로 사용하면 해결이 된다. 주박의 에너화를 통해 재생산의 열원으로 사용되고 펠릿을 연료원과 더불어 기계적인 시스템을 개발한다면 저탄소 녹색성장인 국가 정책과 부합된 미래형 에너지가 될 것이다.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.54 no.4
• /
• pp.3-9
• /
• 2017

Due to difficulties of continuous electric power provision to underwater communication nodes, the efficient power usage is highly required in underwater network protocol. In this paper, we studied the energy efficient MAC(Medium Access Control) protocol for underwater network supporting mobile nodes such as UUV(Unmanned Underwater Vehicle) and AUV(Autonomous Underwater Vehicle). The mobile nodes could waste the electric power in vain when the receiver moves out of the radio propagation coverage during the data exchange and thus the transmitted data fails in reaching the receiver. Expecially, such a failure is much more obvious in underwater acoustic channels since the propagation delay is about $10^5$ times slower than in terrestrial radio channels. This proposed mobility-MAC controls the data dropping stochastically in the Dropping Zone by considering the receiver's location and moving velocity. In conclusion, this selective dropping method not only improves latency and throughput by reducing invalid droppings but also boosts power efficiency by valid droppings.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2018.05a
• /
• pp.457-459
• /
• 2018

Solar power generation system is a energy generation technology that produces electricity from solar power, and it is growing fastest among renewable energy technologies. It is of utmost importance that the solar power system supply energy to the load stably. However, due to unstable energy production due to weather and weather conditions, accurate prediction of energy production is needed. In this paper, an Artificial Neural Network(ANN) that predicts solar energy using 15 kinds of meteorological data such as precipitation, long and short wave radiation averages and temperature is implemented and its performance is evaluated. The ANN is constructed by adjusting hidden parameters and parameters such as penalty for preventing overfitting. In order to verify the accuracy and validity of the prediction model, we use Mean Absolute Percentage Error (MAPE) and Mean Absolute Error (MAE) as performance indices. The experimental results show that MAPE = 19.54 and MAE = 2155345.10776 when Hidden Layer $Sizes=^{\prime}16{\times}10^{\prime}$.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.13 no.6
• /
• pp.229-235
• /
• 2013

This paper proposed the method to reduce and manage the amount of using power by using the Self-Learning of inference engine that evolves through learning increasingly smart ways for each spaces with in the Space-Based Energy Management System (SEMS, Space-based Energy Management System) that is defined as smallest unit space with constant size and similar characteristics by using the collectible Big Data from the various information networks and the informations of various sensors from the existing Energy Management System(EMS), mostly including such as the Energy Management Systems for the Factory (FEMS, Factory Energy Management System), the Energy Management Systems for Buildings (BEMS, Building Energy Management System), and Energy Management Systems for Residential (HEMS, Home Energy Management System), that is monitoring and controlling the power of systems through various sensors and administrators by measuring the temperature and illumination.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.34 no.4B
• /
• pp.319-328
• /
• 2009

IEEE 802.16e standard defines different Sleep Mode Operations according to kind of services which aims at saving energy for MS efficiently. The previous study of Sleep Mode Operation is limited for single service environment, real sleep interval is decreased because different Sleep Mode Operations are applied at once when MS is on multi service. The proposed Enhanced Sleep Mode Operation increasing real sleep interval of this paper guarantees QoS(Quality of Services) which is same as standard, minimizes energy consumption when different Sleep Mode Operations are applied at once. Therefore Enhanced Sleep Mode Operation of this paper will be useful in case of increase battery life time as well as guaranteeing QoS for MS in IEEE 802.16 system.

• Environmental and Resource Economics Review
• /
• v.20 no.2
• /
• pp.335-356
• /
• 2011

In this paper, we attempted to suggest a way to evaluate appropriateness and efficiency for the energy consumption structure. For this, based on Markowitz (1952)' mean-variance portfolio model, we constructed an optimal fossil fuel mix. In constructing the optimal mix, we first defined returns on fossil fuels (oil, coal and natural gas) as TOE (Ton of Oil Equivalent) per $1. Then, by using the dynamic latent common factor model, we decomposed the growth rates of the returns on each fossil fuel into two parts : the common part and the idiosyncratic part. Finally, based on the results from the dynamic latent common factor model, we constructed the optimal fossil fuel mix implied by the mean-variance portfolio model. Our results indicate that for the fossil fuel mix to be on the efficient frontier, it is crucial to reduce oil consumption as low as possible. Moreover, our results imply that it is more efficient to increase natural gas consumption rather than coal consumption in reducing oil consumption. These results are in line with the strategies for the future energy consumption structure pursued by Korea and indicate that reduction in oil use can improve overall efficiency in energy consumption.

• Journal of Digital Convergence
• /
• v.16 no.1
• /
• pp.103-116
• /
• 2018

In this study, we investigated the influence of smart factory's implementing energy management system on innovation resistance and work performance. We surveyed and analyzed 211 employees of system construction companies in the metropolitan area. In order to increase the introduction performance through diffusion of the energy management system, it is found that it is important to support the organizational-level management strategy to reduce the user's resistance to innovation. In conclusion, this study has implications for positively leading to the efficiency and management performance of the manufacturing process of the manufacturing enterprises, and it is necessary to follow - up studies considering the characteristics of the energy management system and the expansion of the research scope in the future.

• Journal of the Korean Chemical Society
• /
• v.55 no.6
• /
• pp.905-911
• /
• 2011

The possible minimum structures of $C_{60}(CH_2)_nOH$ (n=0~2) and $C_{60}(OH)_2$have been optimized using density functional theory (DFT) with the 6-311G (d,f) basis set. The harmonic vibrational frequencies and IR intensities are also determined to confirm that all the optimized geometries are true minima. Also zero-point vibrational energies (ZPVE) have been considered to predict the binding energies. The predicted binding energy of $C_{60}CH_2OH$ is about 10 kcal/mol more stable than the binding energy of $C_{60}OH$.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.37A no.12
• /
• pp.1085-1092
• /
• 2012

Mobile communication systems define user state transition mechanisms in order to manage radio resources and battery power efficiently. In the state transition mechanism, a state with a higher energy consumption inherently offers a shorter access delay, so there is a tradeoff between the energy and delay performances. In this paper, we analyze the user state transition mechanism of UMTS by considering the bursty traffic attributes of mobile applications. We perform a numerical evaluation for both the energy consumption and the activation delay by Markov modeling of the state transition mechanism, and investigate their tradeoff relationship as functions of operational parameters. The resulting energy-delay tradeoff curves clearly show an achievable performance bound of the user state transition mechanism and also offer an optimal operation strategy to minimize the energy consumption while guaranteeing the delay requirement.

• Current Photovoltaic Research
• /
• v.9 no.1
• /
• pp.6-10
• /
• 2021

The mesh mask screen, which is generally used for screen printing metallization of silicon solar cell, requires high squeegee pressure and low printing speed. These requirements are acting as a limiting factor in production yield in photovoltaic industries. In order to improve the productivity, a metal mask, which has high durability and high printing speed, has been researched. In this paper, the characteristics of each solar cell, in which electrodes were formed by using a metal mask and a mesh mask, were analyzed through recombination current density. In particular, the metal-induced recombination current density (Jom) representing the recombination of the emitter-metal interface was calculated using the shading method, and the resulting efficiency and open-circuit voltage were analyzed through the diode equation. As a result of analyzing the proportion of the metal-induced recombination current density to the total emitter recombination current density, it was analyzed that the reduction of the metal-induced recombination current density through the metal mask is an important factor in reducing the total recombination current density of the solar cell.