• The Journal of the Acoustical Society of Korea
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• v.31 no.8
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• pp.542-550
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• 2012

In this paper, an adaptive scheme for network topology configuration is proposed to save the overall energy consumption in underwater acoustic sensor network. The proposed scheme employs a self-organized networking methodology where network topology is locally optimized by exchanging the energy-related information between neighboring nodes such as the remaining energy of each node, in a way that the network life time can be augmented without any centralized control function. Computer simulation is used to evaluate the proposed scheme comparing with LEACH in terms of the number of alive nodes after a given time, the deviation of individual nodes' residual energy and the energy consumption at the initialization and coordination stages.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.320-320
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• 2022

기후변화와 도시화로 인한 영향으로 도시의 폭우, 폭염을 비롯한 현상이 빈번하게 발생하고 있다. 특히 시가화 지역의 높은 불투수율은 도시홍수를 야기한다. 이러한 현상을 완화하기 위해 도시지역에서는 그린인프라와 저영향개발이 도입되고 있다. 그 중 지속가능한 발전을 위한 필수요소로 자리매김한 옥상녹화는 도시에 위치한 건물의 상층부와 내부의 온도를 낮춤으로써 에너지절감효과와 강우 시 빗물을 저류함으로써 우수유출 저감효과, 그리고 도시 공간 내 녹지도입으로 인한 이산화탄소 배출 저감 효과 등을 기대할 수 있다. 본 연구에서는 열섬현상완화와 유출 저감의 방안 중 하나인 옥상녹화(Green roof)의 효과를 정량적으로 평가하기 위해 콘크리트로 이루어진 동일한 제원의 실험동을 구축하고, 실험동 내외부의 온도, 습도, 강우, 풍속, 일사량 등의 기상자료를 측정할 수 있는 센서를 설치하였다. 각 실험동에서 측정된 기상요소를 Flux Profile Method를 적용하여 공간 내에 있는 열에너지의 총량인 순복사열을 구성하는 현열속, 잠열속, 토양열속(H, LE, G)을 산정하였다. 또한 에너지 평형에 따라 산정된 각 실험동의 열속과 지표면 복사량 관측자료을 정량적으로 비교하여 옥상녹화의 적용성을 평가하였다. 2021년 7월 21일부터 2021년 7월 28일 까지 모니터링한 결과 옥상녹화의 열 효율은 일반 콘크리트 지붕에 비해 실내온도가 최대 6.83℃ 낮게 나타나며 이는 여름철 건물 내부의 온도조절에 필요한 에너지 저감효과를 볼 수 있다. Flux Profile Method를 적용한 결과 옥상녹화의 전체 열속 중 현열속 28.5% 잠열속 70.7%, 토양열속 0.5% 의 복사량 분포를 보였고, 일반 콘크리트 지붕은 현열속 45.3%, 잠열속 38.6%, 토양열속 16.2% 으로 나타났다. 이와 같은 방법은 옥상녹화의 정량적 평가를 가능하게 함으로서 향후 기후변화 대응방안 및 전략 수립 시 옥상녹화의 온도저감효과 분석에 적극 활용할 수 있을 것으로 판단된다.

• Resources Recycling
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• v.31 no.1
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• pp.56-64
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• 2022

Construction waste is generated at a rate of approximately 221,102 tons/day in Korea. In particular, mixed construction waste generates approximately 24,582 tons/day. The other components were recycled by 98.9%. The amount of greenhouse gas emissions from the waste was 17.1 million tons of CO2 equaling 2.3% of the total greenhouse gas emissions. To reduce greenhouse gas emissions, reducing the environmental impact is becoming increasingly important. However, appropriate treatment must first be established, as mixed construction waste is also increasing. Thus, an effective plan is urgently needed because it is frequently segregated and sorted by the landfill and incinerated. In addition, there is an urgent need to prepare various effective recycling methods rather than a simple treatment. Therefore, this study analyzed the environmental impact of the treatment of mixed construction waste by calculating greenhouse gas emissions. As a result, the highest greenhouse gas generation occurred during the incineration stage. Moreover, the optimal method to reduce greenhouse gas emissions is recycling and energy recovery from waste. In addition, the amount of greenhouse gas generated during energy recovery from the waste stage was the second highest. However, greenhouse gas emissions can be reduced by using waste as energy to reduce fossil fuel consumption. In addition, for the transportation stage, the optimal reduction plan is to minimize the amount of greenhouse gas emissions by setting the optimal distance and applying biofuel and electric vehicle operations.

• Journal of Energy Engineering
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• v.22 no.2
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• pp.83-89
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• 2013

Energy consumption is closely related to our lives. As Korea has four seasons, heating and cooling system is considered as essential facilities for the residential buildings. Accordingly, the government has continuously strengthened the design criteria to improve energy for new and existing building to save energy. The most important factor in the energy efficiency analysis for apartment is the heat transmission coefficient, and the value is significantly different as the heating energy amount is greatly different according to the window area ratio versus facade area ratio. Therefore, it is time to conduct continuous set-up for goal to enhance efficiency and restriction on window area ratio versus facade area ratio.

• Journal of the Korean Society for Geothermal and Hydrothermal Energy
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• v.10 no.2
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• pp.7-12
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• 2014

Government has recently restricted heating and cooling set temperatures for the commercial and public buildings due to increasing national energy consumption. The goal of this paper is to visualize a future two way indoor set temperature control impact on building energy consumption by using TRNSYS simulation modeling. The building was modelled based on the twin test cell with the same dimension. Air source ground coupled heat pump performance data has been used for modeling by TRNSYS 17. Daejeon weather data has been used from Korea Solar Energy Society. The heating set temperature in the reference room is $24^{\circ}C$ as well as the target room set temperature are $23^{\circ}C$, $22^{\circ}C$, $21^{\circ}C$ and $20^{\circ}C$. The cooling set temperature of the reference room is also $24^{\circ}C$ as well as the target room set temperature of $25^{\circ}C$, $26^{\circ}C$, $27^{\circ}C$ and $28^{\circ}C$. For the air source heat pump system, heating season energy consumption is $35.52kWh/m^2y$ in the reference room. But the heating energy consumption in the target room is reduced to 7.5% whenever the set temperature decreased every $1^{\circ}C$. The cooling energy consumption in the reference room is $4.57kWh/m^2y$. On the other hand, the energy consumption in the target room is reduced to 22% whenever the set temperature increased every $1^{\circ}C$ by two way controller. For the geothermal heat pump system, heating energy consumption in the reference room is reduced to 20.7%. The target room heating energy consumption is reduced to 32.6% when the set temperature is $22^{\circ}C$. The energy consumption in the target room is reduced to 59.5% when the set temperature is $26^{\circ}C$.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.693-700
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• 2024

As of the end of March 2022, the total area of domestic industrial complexes is 606 km2, which is only about 0.6% of the total land area. However, as of 2018, the annual energy consumption of domestic industrial complexes is 110,866.1 thousand TOE, accounting for 53.5% of the country's total energy consumption and 83.1% of the entire industrial sector energy consumption. In addition, industrial complexes have a significant impact on the environment, accounting for 45.1% of the country's total greenhouse gas emissions and 76.8% of industrial sector greenhouse gas emissions. Under this background, in this study, in order to contribute to the energy efficiency of industrial complexes, a prediction study on energy demand and supply for an industrial complex in Korea using machine learning was conducted. In addition, a simulator UI screen was designed to more efficiently convey information on energy demand/supply prediction results and energy consumption status. Among the machine learning algorithms, Multi-Layer Perceptron (MLP) was used, and Bayesian Optimization was applied as an optimization technique for the prediction model. The energy prediction model for the industrial complex built in this study showed a prediction accuracy of 87.90% for compressed air demand and 99.54% for the flow rate available for the public air compressor.

• Journal of the Korea Concrete Institute
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• v.23 no.4
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• pp.521-528
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• 2011

Recently, environmental concerns and issues have become great concerns for the public. Therefore, this study is conducted with the objective of preventing energy depletion and $CO_2$ emission. PCM (Phase Change Materials) having latent heat characteristic is mixed in mortar to find a proper mix proportion. Also, the mortar properties and performances as well as a melting point of PCM when applied to air conditioning and heating conditions in at building environments were obtained by performing experiments. Also, latent heat and heat transfer characteristics were obtained from experiments by test of thermal performance to formulate temperature gradient about amount of heat transfer of PCM content using the Fourier's thermal equation. The study results can be used in the application of PCM in buildings and expected effect of air conditioning and heating energy.

• Environmental and Resource Economics Review
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• v.17 no.3
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• pp.167-199
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• 2008

There are many successful cases in power interconnection among European and South American countries. However, that is not the case in Northeast Asian countries. Even though there will be a considerable benefit in power interconnection in Northeast Asian countries, there will be some difficulties due to various interest relationship and constraints among countries in Northeast Asia. GTMax(Generation and Transmission Maximization) Program is a very useful tool to analyze competitive electricity market and power interconnection developed by Argonne National Laboratory under the Department of Energy in the USA. This study tried to verify applicability and usefulness by GTMax model to domestic electric power system and power transfer from Russia Far East by power interconnection. When the power by importing from Russia is 2,000MW(around 2% of domestic installed capacity in 2017), there is no impact on domestic electricity market because of small power transfer. The power by importing should be large enough for achieving greater cost reduction by power interconnection. Besides, it would be better to supply power to Kyung-In region directly in reducing overall cost when the power by importing from Russia are sold at low price. In the case of interconnecting Young-Dong region, if it is not possible to upgrade transmission line with power transfer capabilities between Young-Dong and Kyung-In region, then the power by importing from Russia can replace the power produced in Jung-Bu region and the relative benefit of importing power can be reduced.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10c
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• pp.93-97
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• 2006

센서 네트워크에서 질의 처리 기술은 통신 비용을 절감하고 신뢰성을 향상하고 에너지 효율성을 향상시키는데 목적을 두고 있다. 현재 에너지의 효율성을 위해서 센서 노드가 수행하는 질의를 최적화하여 전력 손실을 줄이고자 하는 연구가 활발하게 수행 중이다. 본 논문에서는 실체 뷰와 인덱싱 뷰를 이용하여 센서 네트워크에 맞는 효율적인 새로운 센싱 뷰라는 기법을 제안한다. 제안하는 질의 처리 알고리즘은 실체 뷰와 인덱싱 뷰의 개념을 바탕으로 기존의 분산 데이터베이스의 질의 처리 방법을 센서 네트워크에 적용하였다. 제안된 센싱 뷰 알고리즘은 센싱 뷰를 싱크 노드에 위치시킴으로서 센서 노드와의 통신 횟수를 최대한 줄임으로서 통신 비용과 에너지의 소모량을 줄일 수 있었다. 성능은 시뮬레이션을 통해서 평균적으로 약 30%정도의 성능 향상 효과를 보였다.

• The KIPS Transactions:PartD
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• v.18D no.1
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• pp.45-56
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• 2011

The importance of low-power embedded system is being increased. The studies on low-power system have been performed in issues of hardware architecture and operating system. However because the behaviors of software control the working of hardware devices, the power analysis of software is one of critical issues in energy-efficient embedded system development. This paper proposes a technique to extract tasks from software design models with considering power consumption. We first define the criteria for task extraction, and then propose the way to separate out the task from UML 2.0 design models. Our technique can provide the chance to reduce the power consumption as well as to fulfill the performance requirement in the early phase of software development.