• 제목/요약/키워드: ENERGY EFFICIENCY

검색결과 11,032건 처리시간 0.041초

고효율 전기기기 특허동향 분석 (Patent map development of High-efficiency electric machineries)

  • 박종진;이창호;김남정
    • 한국기술혁신학회:학술대회논문집
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    • 한국기술혁신학회 2000년도 추계 학술대회(The 2000 Autumn Conference of korea Technology Inovation Society)(한국기술혁신학회)
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    • pp.177-193
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    • 2000
  • In foreign countries, high-efficiency electric machineries have been developed in view of cost reduction, environmental issues, energy conservation etc. Especially they focus on developing energy conservation measures and demand-side management. Thus, patent application and secure of patent claims are on the rise as important issues in this field. In this paper, we analyzed patent application trends about inverters, ac/dc converters, reactive power control equipments, high-efficiency transformers and electric ballasts among high-efficiency electric machineries. First, we analyzed general technology trends, and constructed patent technology data. Second, we graphed patent application trends in terms of application years, assignees and nations.

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교육시설의 건축물에너지효율등급 사례분석을 통한 에너지자립률 평가 (Evaluation of Energy Self-Sufficiency Rate through Case Analysis of Building Energy Efficiency Rating in Educational Facilities)

  • 이현승;김지현;이승민;맹준호;신우철
    • 교육녹색환경연구
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    • 제18권4호
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    • pp.58-65
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    • 2019
  • 교육시설은 '공공기관 에너지이용 합리화 추진에 관한 규정'에 따라 2014년부터 '건축물에너지효율 1등급 이상'의 의무대상건축물로 지정되었으며, 동 규정에서 정의하는 공공기관 건축물에 해당되어, 2008년 9월 신·재생에너지 의무대상 건축물로 포함되었다. 또한 2019년 4월 녹색건축물 조성 지원법이 개정됨에 따라, 2020년부터 ZEB인증의 의무대상 건축물로 확정되었다. 따라서 본 연구에서는 2015년 2월부터 2019년 5월까지 "건축물에너지효율등급" 본인증을 획득한 316개의 교육시설을 대상으로 "건물에너지효율등급" 및 "신·재생에너지시스템"설치 현황을 파악하고, 에너지 소요량 및 신·재생에너지 생산량을 기준으로 에너지자립률을 분석하였다. 316개 본인증 교육시설의 "건축물에너지효율등급"에 따른 ZEB 인증등급을 추정하면 1+++ 등급 12개 시설의 경우 1곳을 제외하고 모두 ZEB 5등급 이상으로 나타났으며, 239개의 1++ 등급 시설에서 11%에 해당하는 28곳이 ZEB 5등급 수준에 도달하였다. 따라서 현 수준에서 일반 교육시설의 ZEB 인증은 무리가 있으며, 건물에너지효율 1+++등급 상향과 신·재생에너지시스템 투자가 선행되어야 할 것으로 판단된다.

Zero Energy School(ZES) 에너지절감 성과 검증을 위한 방법론 연구 (A methodology for verification of energy saving performance of Zero Energy School (ZES))

  • 이항주;안종욱;김인수
    • 에너지공학
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    • 제28권1호
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    • pp.37-44
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    • 2019
  • 국내 건축물은 국가 온실가스 배출의 25%, 에너지소비의 20%를 차지하고 있어 건축물의 에너지 효율향상이 국가 에너지수요관리의 주 대상으로 인식되고 있다. 건축물의 에너지효율향상을 위해 "제로에너지건축물 국가 로드맵"을 작성하여 정책들을 시행하고 있으며, 제로에너지건축물 의무화 확대의 따라 조기 활성화를 통한 국가 건물에너지 수요관리 효율성을 제고 하고 있다. 또한 건축물이 완공되고 그 후 에너지절감량에 대한 성과검증에 대한 필요성 또한 높아지고 있다. 이에 따라 건축물의 에너지 성능을 평가하기 위한 방법들이 제시되어야 할 것이다. 본 논문은 국제표준 및 가이던스 분석과 동시에 국내 학교를 현장 방문하여 각종 변수 등에 대한 조사 분석을 통하여 국제적으로 적용 가능한 제로에너지스쿨의 에너지성과검증 방법을 개발, 제시하고자 한다.

ISO 13790과 ISO 52016에 의한 월별 난방에너지 소요량 분석 (Monthly Heating Energy Needs Analysis According to ISO 13790 and ISO 52016)

  • 조정훈;윤근영
    • 한국태양에너지학회 논문집
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    • 제39권5호
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    • pp.11-28
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    • 2019
  • Governments are increasing energy efficiency in buildings through various policies to reduce building energy consumption. In 2002, the European Union adopted a building energy performance guideline to set minimum efficiency standards for residential and commercial buildings. Starting in 2020, all EU member states should ensure that all buildings are Near-Zero Energy Buildings (NZEB). In Korea, the government issued a zero-energy certification system. Since 2020, public buildings are required to cover energy consumption with the energy produced in buildings. As the demand for building energy simulation has increased to increase the energy efficiency of these buildings, the International Standard Organization (ISO) has created a standard for calculating building energy requirements called ISO 13790. This standard was revised to ISO 52016 in 2017. In this research, ISO 13790, which calculates the energy needs of existing buildings, and ISO 52016, which replaces them, are compared and analyzed, and applied to the calculation of heating energy needs of buildings. For models without thermal zoning(Case A), the difference in annual heating energy needs calculated from each criterion is $1.08kWh/m^2$, which is about 2% higher in ISO 52016. In the case of the thermal zoning model(Case B), the difference in annual heating energy needs calculated by each standard was $0.97kWh/m^2$, which was about 2% higher than ISO 52016. The heating energy needs model without thermal zoning has a higher energy needs than the heating energy needs model with thermal zoning. It is about 16% energy at $8.58kWh/m^2$ for ISO 13790 and $8.69kWh/m^2$ for ISO 52016.

Predicting the Effectiveness of National Energy R&D Investment in Korea: Application of System Dynamics

  • 오영민
    • 한국시스템다이내믹스연구
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    • 제15권2호
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    • pp.27-50
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    • 2014
  • Korea government established the energy technology development plan (2011-2020) and declared to be a leader of the green energy technologies. The plan aims for 10% market share in the green energy industry, 12% energy efficiency improvement, and 15% greenhouse gas reduction. In order to achieve these goals, the government has tried to calculate the whole scale of national energy R&D investment, annual budget and specific expenditures for new technologies by computer simulation. The simulation modules include the R&D investment model, GDP model, energy consumption and $CO_2$ emission model by System Dynamics. Based on these simulation modules, I tested various scenarios for effectiveness of energy R&D investments until 2020. The results show that Korea should increase national energy R&D investment to 2.3 billion U.S. dollars, and switch the investment from electricity and nuclear power to the renewable energy.

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대학건축물의 전력에너지 사용량 조사 및 분석 (Survey and Analysis of Power Energy Usage of University Buildings)

  • 윤남식;김정태
    • KIEAE Journal
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    • 제13권2호
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    • pp.27-32
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    • 2013
  • For the past seven years, the increase in the energy consumption of universities in Korea has been 3.7 times higher than the overall increase in the energy consumption across Korea (22.5%). This is an example that shows that universities have been a massive source of greenhouse gases. Such an increase has been attributed to the new and expanded construction of architectural structures on campus. Many people argue that the increasing number of buildings may cause waste of energy and loss of efficiency. Therefore, this study was conducted as a preliminary study to derive energy efficiency measures for new university buildings. The two aspects of energy-saving as required by the eco-friendly structure certification standards have been applied to analyze the use of new/renewable energy and the energy consumption of new university buildings that have applied light density and light engineering methods. Based on these results, the major sources of energy of existing buildings and new university buildings were compared to comparatively discuss how effectively they improve energy performance.

CES 발전소의 최적운용 알고리즘 개발 (Development of Optimal Operation Algorithm about CES Power Plant)

  • 김용하;박화용;김의경;우성민;이원구
    • 조명전기설비학회논문지
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    • 제26권2호
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    • pp.61-70
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    • 2012
  • Recently due to the increasing of the importance on the green energy is getting higher by implementing EERS(Energy Efficiency Resource Standards) and NA(Negotiated Agreement) such as lacks of natural resources and The United Nations Framework Convention on Climate Change. And the most practical solution is CHP(Combined Heat and Power) which performs the best energy efficiency. This paper developed optimal operation mechanism of CES(Community Energy System) for enhancement of energy efficiency using CHP(Combined Heat and Power), PLB(Peak Load Boiler) and ACC(ACCumulator) capacities. This method optimally operated these capacities calculated the maximum profits by Dynamic Programing. Through the case studies, it is verified that the proposed algorithm of can evaluate availability.

Improved Compressed Network Coding Scheme for Energy-Efficient Data Communication in Wireless Sensor Networks

  • Zhou, Ying;Yang, Lihua;Yang, Longxiang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권6호
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    • pp.2946-2962
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    • 2017
  • An improved energy-efficient compressed network coding method is proposed for the data communication in the wireless sensor networks (WSNs). In the method, the compressed sensing and network coding are jointly used to improve the energy efficiency, and the two-hop neighbor information is employed to choose the next hop to further reduce the number of the transmissions. Moreover, a new packet format is designed to facilitate the intermediate node selection. To theoretically verify the efficiency of the proposed method, the expressions for the number of the transmissions and receptions are derived. Simulation results show that, the proposed method has higher energy efficiency compared with the available schemes, and it only requires a few packets to reconstruct measurements with reasonable quality.

Transmission Power Control for IEEE 802.15.6 Body Area Networks

  • Gao, Weidong;Jiao, Bingli;Yang, Guiliang;Hu, Wei;Liu, Jingwen
    • ETRI Journal
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    • 제36권2호
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    • pp.313-316
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    • 2014
  • Energy consumption is an important issue in body area networks (BANs). In this letter, we propose an energy efficient transmission power control scheme for IEEE 802.15.6 BANs, which can improve energy efficiency by adaptively adjusting the transmit power in an on-demand way to adapt to varying channel environments. Simulations are performed to evaluate the performance, and it is shown that the proposed power control scheme outperforms traditional ones in terms of energy efficiency without significant reliability degradation.

Exergy Analysis of Solar Collector

  • 이석건;이현우
    • 한국농공학회지
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    • 제32권E호
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    • pp.74-79
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    • 1990
  • Important factors in evaluating solar collcetor efficiency are solar radiation, temperature and flow rate of the working fluid. The effects of these factors on the energy and the exergy gained by water, the working fluid, from the collector were analyzed. The results indicated that the collector efficiency and the energy and the exergy gained by the water from the collcetor increased with the increase of solar radiation. According to the exergy analysis, as the water temperature at the inlet of the collector increased, the exergy gained by the water increased while the energy gained by the water decreased. The water temperature at the outlet of the collector could be calculated with a mean error of 2.8%, and the energy and the exergy could be calculated theoretically with mean errors of 16.8% and 19.1%, respcetively.

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