• Title/Summary/Keyword: Energy Demand Management

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A Study on SSDP protocol based IoT / IoL Device Discovery Algorithm for Energy Harvesting Interworking Smart Home

  • Lee, Jonghyeok;Han, Jungdo;Cha, Jaesang
    • International Journal of Internet, Broadcasting and Communication
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    • v.10 no.2
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    • pp.7-12
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    • 2018
  • The spread of IoT (Internet of Things) technology that connects objects based on wired / wireless networks is accelerating, and IoT-based smart home technology that constitutes a super connected network connecting sensors and home appliances existing inside and outside the home is getting popular. In addition, demand for alternative energy technologies such as photovoltaic power generation is rapidly increasing due to rapid increase of consumption of energy resources. Recently, small solar power systems for general households as well as large solar power systems for installation in large buildings are being introduced, but they are effectively implemented due to limitations of small solar panels and lack of power management technology. In this paper, we have studied smart home structure and IoT / IoL device discovery algorithm for energy harvesting system based on photovoltaic power generation, It is possible to construct an efficient smart home system for device control.

Water, Energy, and Food Nexus Simulation Considering Inter-Basin Trade

  • Wicaksono, Albert;Jeong, Gimoon;Kang, Doosun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2016.05a
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    • pp.190-190
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    • 2016
  • The Water, Energy, and Food (WEF) nexus is an emerging concept for sustainable resources planning and management. The three valuable resources are inevitably interconnected, that is, it takes water to produce energy; it takes energy to extract, treat, and distribute water; and both water and energy are required to produce food. Although it is challenging to fully understand the complicated interdependency, a few studies have been devoted to interpret the concept and develop the assessment tools. The tools were mainly developed for nation-wide simulations without considering inter-basin or inter-state resources trade. This study tries to present an idea to develop and implement the WEF nexus simulation model in regional scale by advancing the existing nation-wide model with additional capability to simulate the inter-basin trade. This simulation could help local planners and engineers to determine optimal policies and infrastructure solutions to reach and ensure local demand satisfaction. The simulation model is implemented in hypothetical areas with different conditions of WEF demands and supplies. Although the inter-basin trade scenarios are simulated manually, it shows that the inter-basin resources trade could enhance the resources security for a longer time period. In future, an optimization model might be developed to provide the automatic calculation to reach optimum amount of WEF for the trade, which can be a helpful tool in decision making process.

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Nonlinear impact of temperature change on electricity demand: estimation and prediction using partial linear model (기온변화가 전력수요에 미치는 비선형적 영향: 부분선형모형을 이용한 추정과 예측)

  • Park, Jiwon;Seo, Byeongseon
    • The Korean Journal of Applied Statistics
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    • v.32 no.5
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    • pp.703-720
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    • 2019
  • The influence of temperature on electricity demand is increasing due to extreme weather and climate change, and the climate impacts involves nonlinearity, asymmetry and complexity. Considering changes in government energy policy and the development of the fourth industrial revolution, it is important to assess the climate effect more accurately for stable management of electricity supply and demand. This study aims to analyze the effect of temperature change on electricity demand using the partial linear model. The main results obtained using the time-unit high frequency data for meteorological variables and electricity consumption are as follows. Estimation results show that the relationship between temperature change and electricity demand involves complexity, nonlinearity and asymmetry, which reflects the nonlinear effect of extreme weather. The prediction accuracy of in-sample and out-of-sample electricity forecasting using the partial linear model evidences better predictive accuracy than the conventional model based on the heating and cooling degree days. Diebold-Mariano test confirms significance of the predictive accuracy of the partial linear model.

Management Methods of Bone Mineral Density Examination Using Dual Energy X-ray Absorptiometry (이중에너지 엑스선 흡광분석법을 이용한 골밀도검사의 관리법)

  • Kim, Ho-Sung;Kim, Tae-Hyung;Kim, Sang-Hyun
    • Journal of radiological science and technology
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    • v.41 no.4
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    • pp.351-360
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    • 2018
  • In recent years, demand for examination of bone mineral density (BMD) is increasing in Korea according aging society. Therefore, it is required to develop an efficient management program that can increase the safety and reliability of Dual Energy X-ray Absorptiometry (DXA) that can be applied to the criteria of the World Health Organization. It is necessary to develop a management program that can design a program to improve the accuracy and precision of the results of the analysis and to improve the accuracy of diagnosis of osteoporosis by development a high quality DXA report. It is recommended to prepare the examination manuals and to establish procedures of standard operating including the program to prevent the pitfalls during the examination, the compatibility evaluation of the examination data, and the contents of the radiation safety. In addition, relevant regulations on the production of high-quality DXA reports are required and government and related agencies should introduce individual and facility recognition programs through DXA measurement and education programs and training. It is considered that efforts should be made to prepare high quality DXA report by guidelines on all aspects of BMD for preparation about aging society.

A Comparative Study on the Perception and Consumption Behaviors of Korean, Chinese, and US Consumers for Energy bars (한국, 중국, 미국 소비자들의 에너지 바에 대한 인식 및 소비 행동 비교 연구)

  • Oh, Ji Eun;Yoon, Hei-Ryeo
    • Journal of the Korean Society of Food Culture
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    • v.35 no.4
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    • pp.333-341
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    • 2020
  • This study evaluated the perception, consumption behavior, and optional attributes of Korean, Chinese, and U.S. consumers of energy bar products. Data were compared and analyzed by surveying 300 consumers in each country. Significant differences were observed in preference for energy bars according to their nationality, in the order China, the U.S., and Korea. Perception of taste, types and dietary suitability of the products ranked lower for Korean consumers, as compared to consumers of the United States and China. The order dietary fiber, protein, and calcium were the sought-after nutritional requirements of the products. The demand for protein was significantly higher in the U.S. Calcium demand was low in the United States and China, but was very high in Korea, which could be attributed to the low calcium intake of Koreans. Other optional attributes which were closely associated with the purchase and re-purchase decision, included price, taste and delivery period. All three factors were recognized as important options in Korea, whereas awareness of packaging/appearance and brand was not. The taste, nutrients and price in the U.S. ranked high as important optional attributes, while the packaging, external and expiration dates were recognized as low. Unlike Korea and the U.S., important optional attributes for Chinese consumers were determined in the order expiration date, taste, and nutrients, and showed low perception for packaging, appearance, weight, counts, and prices. Evaluating the preference for the main and secondary ingredients, Koreans preferred nuts over grains, Americans preferred dried fruits over nuts, and Chinese preferred nuts and grains; both Korean and American consumers had low preference for dried vegetables. The preference for chocolate was low in Korea and China, whereas preference for jelly was high in China as compared to Korea and the U.S. The intention of purchasing energy bars was significantly lower in Korea than in the U.S. and China. A variety of nutritious functional bars have recently been distributed and sold in Korea, but they are mostly produced in the U.S., which is the largest producer and consumer worldwide. Taken together, results of this study indicate that the demand for nutritional enhancement and preferred materials vary according to the nationality. Hence, it is necessary to develop products that reflect these criteria. Further research is required to analyze the relationship between preference and consumption behavior for each material product developed in the future.

Urban energy transition and energy autonomy in Daegu (대구의 도시 에너지 전환과 에너지 자립)

  • Choi, Byung-Doo
    • Journal of the Economic Geographical Society of Korea
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    • v.16 no.4
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    • pp.647-669
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    • 2013
  • Depletion of fossil fuels and sharp rise of international oil price as well as climate worming and frequent environmental disasters have required to strengthen resource(esp. energy) and environmental policy and discourse. And hence highly influential discourses and policies such as the concept of sustainable development and strategy for carbon regulation have been developed and pursued world-widely. But these concept and strategy have seemed to be subsumed in the process of neoliberalism, so as to have little effective results. This leads us to energy transition and energy autonomy or autarky as alternative strategic and normative concepts. Daegu has shown strong interests in urban energy problems relatively earlier than other cities, and developed the so-call 'Solar City' project. But it could not properly tackled with the problems, while tending to meet with the global imperatives. This paper considers urban energy problems and energy policy of Daegu with its significance and limitations, and suggests 4 principles for urban energy transition and autonomy with some concrete alternative measures; that is, the transition from fossil and nuclear energy to renewable energy, the transition from supply-led policy to demand side focusing policy, the transition from central governing energy system to locally distributed one, and the transition from market-dependent management to citizen-participatory energy governance.

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The Effects of Wind Power Generation Exports on the National Economy (풍력발전 해외수출의 경제적 파급효과 분석)

  • Jin, Se-Jun;Jeong, Dong-Won;Kwon, Yong-O;Yoo, Seung-Hoon
    • Journal of Energy Engineering
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    • v.21 no.3
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    • pp.281-291
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    • 2012
  • Recently, global economy has recovered and aspects of the renewable energy industry in the global competition is more fierce, the new growth engines of the major countries, including the United States and China, industry promotion policy as being deployed. Major advanced countries and Korea also invested a lot of money to wind power development as a part of renewable energy development and promoting the construction of wind power generation. The global wind power generation market is expected to further increase the scale to about 70 billion US dollars, thus, Korea as well as the installation of domestic wind power overseas actively considering. This study uses input-output analysis to estimate the role of wind power generation sector exports national economy. More specifically, this study shows what national economy effect of production-inducing effect, value-added inducing effect, and employment-inducing effect are explored with demand-driven moel. After define wind power generation sector what small sized of Input-Output table 168 sectors among 11 sectors, this study pays particular and close attention to wind power generation sector by taking the sector as exogenous specification and then investigating economic impacts of it. The wind power generation exportation case of overseas 100 billion won, production-inducing effect, value-added inducing effect, and employment-inducing effect are 205 billion won, 68 billion won and 1,054 persons, respectively. These quantitative information can be usefully utilized in the policy-making for the industrialization of wind power generation exports.

Cluster Routing for Service Lifetime of Wireless Multimedia Sensor Networks (무선 멀티미디어 센서 네트워크의 서비스 수명을 위한 클러스터 라우팅)

  • Lee, Chongdeuk
    • Journal of Digital Convergence
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    • v.11 no.5
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    • pp.279-284
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    • 2013
  • This paper proposes a new cluster-based routing protocol for assuring the service lifetime of wireless multimedia sensor networks. The proposed protocol performs the intra-cluster routing and inter-cluster routing to reduce the energy consumption and service lifetime in the wireless sensor multimedia computing environment, and the proposed mechanism enhances the routing reliability, and it minimizes the packet loss, overhead, and energy consumption. The simulation results show that the proposed mechanism outperforms DSR and AODV.

Indoor Temperature Estimation System for Reduction of Building Energy Consumption (건물 에너지 절감을 위한 실내 온도 추정 시스템)

  • Kim, Jeong-Hoon;You, Sung Hyun;Lee, Sang Su;Kim, Kwan-Soo;Ahn, Choon-Ki
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.04a
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    • pp.885-888
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    • 2017
  • In this paper, a new strategy for estimating building temperature based on the modified resistance capacitance (R - C) network thermal dynamic model is proposed. The proposed method gives accurate indoor temperature estimation using minimum variance finite impulse response filter. Our study is clarified by the experimental validation of the proposed indoor temperature estimation method. This experiment scenario environment is composed of a demand response (DR) server and home energy management system (HEMS) in a test bed.

Smart Air Condition Load Forecasting based on Thermal Dynamic Model and Finite Memory Estimation for Peak-energy Distribution

  • Choi, Hyun Duck;Lee, Soon Woo;Pae, Dong Sung;You, Sung Hyun;Lim, Myo Taeg
    • Journal of Electrical Engineering and Technology
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    • v.13 no.2
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    • pp.559-567
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    • 2018
  • In this paper, we propose a new load forecasting method for smart air conditioning (A/C) based on the modified thermodynamics of indoor temperature and the unbiased finite memory estimator (UFME). Based on modified first-order thermodynamics, the dynamic behavior of indoor temperature can be described by the time-domain state-space model, and an accurate estimate of indoor temperature can be achieved by the proposed UFME. In addition, a reliable A/C load forecast can be obtained using the proposed method. Our study involves the experimental validation of the proposed A/C load forecasting method and communication construction between DR server and HEMS in a test bed. Through experimental data sets, the effectiveness of the proposed estimation method is validated.