• 제목/요약/키워드: Electricity power consumption

검색결과 314건 처리시간 0.025초

국내 제조업종별 전력소비와 경제산출간 인과관계 분석 (A Study on the Causal Relationship Between Electricity Consumption and Output in Manufacturing Sectors of Korea)

  • 박민혁
    • KEPCO Journal on Electric Power and Energy
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    • 제3권1호
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    • pp.65-72
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    • 2017
  • 단위근검정, 공적분검정, 오차수정모형을 이용하여 2001년~2014년 기간 중 한국의 11개 제조업종별 분기별 전력소비량과 산출(GDP)간 인과관계를 분석하였다. 단위근 검정 결과 전업종에서 단위근이 존재하다는 귀무가설을 기각하지 못하여 불안정한 시계열들임을 확인 하였다. 공적분 검정에 있어서 식료품, 목재종이 인쇄, 전기전자, 정밀기기 등 4개 업종에서 공적분 관계가 존재함을 확인하였으며, 공적분 관계가 있는 4개 업종은 장기 인과관계가 있다는 의미이므로 오차수정모형(VECM)을 통해 장기 인과관계를 검정하고 나머지 7개 업종은 표준 그랜저 인과관계 검정을 통한 단기인과관계를 검정하였다. 오차수정 모형을 통한 인과관계 검정결과 전기전자는 보존가설을, 식료품은 성장가설을, 정밀기기는 장호의존 가설을 그리고 목재 종이 인쇄는 독립 가설을 지지하는 것으로 각각 나타났다. 표준 Granger 인과관계 검정결과 보존가설은 1차 금속 등 3개 업종이, 성장가설은 식료품, 섬유의복 업종이, 상호의존 가설은 석유화학, 전기전자 업종이, 독립가설은 목재 종이 인쇄, 비금속광물, 정밀기기, 운송장비에서 각각 지지하는 것으로 나타났으며 제조업 전체적으로 경제성장이 전력소비를 이끄는 보존가설을 지지하는 것을 확인하였다. 연구 결과가 제시하는 시사점은 요금 현실화, 효율향상 투자 등을 통한 전력수요관리정책이 에너지 생산성 향상과 기후변화 대응 측면에서 중요하나, 제조업종별 특성을 반영하여 부정적 영향을 최소화하고 신중한 추진도 고려해야 함을 시사하고 있다.

스마트 그리드 수요반응 시스템을 위한 그리디 스케줄링 기법 (Greedy Technique for Smart Grid Demand Response Systems)

  • 박래혁;엄재현;김중헌;조성래
    • KEPCO Journal on Electric Power and Energy
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    • 제2권3호
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    • pp.391-395
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    • 2016
  • 최근 몇 년간, 전력 소비의 급격한 증가로 인하여 전력 수급의 불안이 전 세계적으로 발생하였다. 또한 전력 예측의 불확실성 및 전력 발전량이 급격히 증가하게 되었다. 이러한 문제를 해결하기 위한 방안으로 전력망과 IT 기술을 결합한 스마트 그리드기술은 각광을 받고 있다. 스마트 그리드는 전력 최대 부하율을 낮추며 효율적인 전력 사용을 유도한다. 이를 위하여 스마트 그리드 시스템은 다양한 요금 정책, 수요반응 기술, 스마트 전자 기기들을 활용한다. 특히 전력 사용을 효율적으로 스케줄링 해주는 수요반응 기술은 스마트 그리드의 핵심 기술이다. 본 논문에서는 수요 반응 기술을 위한 그리디 기법을 제안한다. 제안하는 그리디 기법은 전력 요금의 최소화뿐만 아니라, 사용자의 편의성을 고려하며 시스템 정전을 방지하는 것을 목표로 한다.

ID 기반 키 분배 기법을 활용한 전력사용량 정보 전송 프로토콜 (Electricity Consumption Information Transmission Protocol with ID-based Key Distribution Method)

  • 정수영;곽진
    • 한국항행학회논문지
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    • 제16권4호
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    • pp.709-716
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    • 2012
  • 최근 기존의 단방향 전력 시스템을 개선하여 안정적인 전력공급, 효율적인 에너지 관리 등을 가능하게 하는 스마트그리드가 관심을 받고 있다. 전력선통신(PLC : Power Line Communication)기술을 활용한 스마트그리드 환경은 각 가정의 PLC 모듈에서 수집한 정보를 데이터전송장치(IRM : Integrated Regional Manager)에 전송하고, 다시 그 정보를 전력서버로 전송한다. 이러한 통신 과정에서는 기존의 IT환경에서 발생하는 보안위협을 포함한 소비자의 개인정보유출, 전력망 마비 등의 다양한 문제가 발생할 수 있다. 그러므로 본 논문에서는 전력사용량 정보 전송과정에서 발생할 수 있는 보안위협에 대응하기 위해 ID 기반 키 분배 기법을 활용한 전력사용량 정보 전송 프로토콜을 제안한다.

대학건물의 에너지 소비 특성에 관한 사례분석 (A Case Study of Electric Power Consumption Characteristics in University Building)

  • 이왕제;이동원;이재범;윤종호;신우철
    • 한국태양에너지학회 논문집
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    • 제32권4호
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    • pp.90-95
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    • 2012
  • Of school buildings, university building requires various case analysis unlike buildings in the elementary, middle and high schools in accordance with its characteristic for variables such as characteristic of department, construction structure and material, the number of persons admitted and schedule. Through the case research on the 'D' university located in Daejeon, this study made a comparison on the monthly and yearly consumption of gas and electricity of the most recent 3 years and implemented analysis on the usage pattern and standby power of air conditioning and heating by the hour and month using PCCS(Power Consumption Consulting System) as respects electricity that is considered to have a possibility of energy-saving. The result of analysis showed that enormous amount of electric power was used during the night time for freeze protection and burst in winter season and standby power was increased in winter season as a result.

대학건물의 전력소비 특성에 관한 사례분석 (A Case Study of Electric Power Consumption Characteristics in University Building)

  • 이왕제;윤종호;백남춘;신우철
    • 한국태양에너지학회:학술대회논문집
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    • 한국태양에너지학회 2011년도 추계학술발표대회 논문집
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    • pp.282-287
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    • 2011
  • Of school buildings, university building requires various case analysis unlike buildings in the elementary, middle and high schools in accordance with its characteristic for variables such as characteristic of department, construction structure and material, the number of persons admitted and schedule. Through the case research on the 'D' university located in Daejeon, this study made a comparison on the monthly and yearly consumption of gas and electricity of the most recent 3 years and implemented analysis on the usage pattern and standby power of air conditioning and heating by the hour and month using PCCS(Power Consumption Consulting System) as respects electricity that is considered to have a possibility of energy-saving. The result of analysis showed that enormous amount of electric power was used during the night time for freeze protection and burst in winter season and standby power was increased in winter season as a result.

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PHEV 시장 형성 시 전력망에 미치는 영향 및 최적 충전 제어 전략에 관한 연구 (Study on the Power-Grid Impact and Optimal Charging Control Strategy with PHEV Market Penetration)

  • 노철우;김민수
    • 대한기계학회논문집B
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    • 제33권4호
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    • pp.278-287
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    • 2009
  • Plug-in hybrid electric vehicle (PHEV) with capability of being recharged from the power-grid will reduce oil consumption. Also, the PHEV will affect the utility operations by adding additional electricity demand for charging. In this research, the power-grid impact by demand of PHEV charging is presented and the optimal charging control strategy for utility operators is proposed with simulated data. The penetration of PHEV is assumed to be 50% in the circumstances of Korean passenger car market and Korean power-grid market limitedly. To obtain smooth load shape and utilize the surplus electricity in power-grid at midnight and dawn, the peak of charging demand should be controlled to be located before 4:00 a.m., and the time slot which can supply the electricity power to PHEV should be allowed between 1:00 a.m.$\sim$7:00 a.m.

ELM을 이용한 특수일 최대 전력수요 예측 모델 개발 (Development of Peak Power Demand Forecasting Model for Special-Day using ELM)

  • 지평식;임재윤
    • 전기학회논문지P
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    • 제64권2호
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    • pp.74-78
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    • 2015
  • With the improvement of living standards and economic development, electricity consumption continues to grow. The electricity is a special energy which is hard to store, so its supply must be consistent with the demand. The objective of electricity demand forecasting is to make best use of electricity energy and provide balance between supply and demand. Hence, it is very important work to forecast electricity demand with higher precision. So, various forecasting methods have been developed. They can be divided into five broad categories such as time series models, regression based model, artificial intelligence techniques and fuzzy logic method without considering special-day effects. Electricity demand patterns on holidays can be often idiosyncratic and cause significant forecasting errors. Such effects are known as special-day effects and are recognized as an important issue in determining electricity demand data. In this research, we developed the power demand forecasting method using ELM(Extreme Learning Machine) for special day, particularly, lunar new year and Chuseok holiday.

교류 고속철도계통에서 BESS의 도입을 위한 전력소비 및 충·방전효과 분석에 관한 연구 (Study on Analysis for Power Consumption and Charge/Discharge Effect with BESS in AC High-Speed Electric Railway System)

  • 전용주;강병욱;채희석;김재철
    • 조명전기설비학회논문지
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    • 제28권9호
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    • pp.20-27
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    • 2014
  • The power consumption pattern of high-speed railway has rarely during night time. But, during service time, the power is consumed irregularly related to train operation. Especially certain unusual about 1-2 days of service time interval to indicate the power consumption is rapidly growing phenomenon, which causes the capacity of the power contract is the annual electricity bill to rise rapidly as the cause. Normally, amount of peak power consumption bill rate at railway substation is over 20% of total electrical bill. Therefore, high-speed railway substation is expected to be considerably larger savings by reducing the peak power of the default charge(demand power).

AN ENERGY ANALYSIS ON GRAIN DRYING SYSTEMS IN CHINA

  • Shao, Y.J.
    • 한국농업기계학회:학술대회논문집
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    • 한국농업기계학회 1993년도 Proceedings of International Conference for Agricultural Machinery and Process Engineering
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    • pp.906-911
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    • 1993
  • There will be about 0.25 to 0.3billion tons of grain product including rice, wheat and corn etc. each year in China. An energy analysis on grain drying system on which electricity , oil , coal or sun power and batch, tower with thick or thin layer of grain, infra red radiation. fluidized flowing types grain drying systems were made and compared for the sake of energy saving is shown in this paper.

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Home Energy Management System for Residential Customer: Present Status and Limitation

  • Lee, Sunguk;Park, Byungjoo
    • International Journal of Advanced Culture Technology
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    • 제6권4호
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    • pp.284-291
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    • 2018
  • As environmental pollution has become worse green technologies to replace or reduce consumption of fossil fuel get spotlight from government, industry and academia globally. It is reported that 40% of carbon dioxide emission is caused by electricity power generation. And 37% of end user electricity power is used by residential costumer in US. Smart Grid is considered as one of promising technology to alleviate severe environmental problem. In residential environment, Home Energy Management System (HEMS) can play a key role for green smart home. The HEMS can give several benefits like aslowering electric utility bill, improvement of efficiency of electric power consumption and integration of generator using renewable energy resources. However just limited functions of HEMS can be used for residential customer in real life because of lack of smart function in home appliances and optimal managing software for HEMS. This study provides comprehensive analysis for Home Energy Management System for residential customer. Simple HEMS system with real products on the market are explained and limitation of current HEMS are also discussed.