• Title, Summary, Keyword: electricity industry

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A Comparative Analysis on the Economic Effects of the Electricity Industry of Korea and Japan (한국과 일본 전력산업의 경제적 파급효과 비교 분석)

  • Lee, Seung-Jae;Euh, Seung Seub;Yoo, Seung-Hoon
    • Journal of Energy Engineering
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    • v.24 no.2
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    • pp.59-71
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    • 2015
  • This study attempts to examine the economic impacts of electricity industry in Korea and Japan using an inter-industry analysis. Specifically, the study analyzes and compares electricity industry between Japan and Korea through production-inducing effect and value added inducing effect of electricity industry based on demand-driven model. Moreover, this study deals with supply shortage effect and sectoral price effect by using supply-driven model and Leontief price model, respectively. This study analyses the electricity industry through exogenous approach. The results show that electricity industry induces prodution-inducing effect of 0.5946 won in other industries in Korea and 0.5446 yen in other industries in Japan. Value-added-inducing effects are 0.1716 won in other in other industries in Korea and 0.2929 yen in other industries in Japan. Supply shortage effects of electricity industry are 1.5932 won in other industries in Korea and 1.2801 yen in other industries in Japan. And sectoral price effects are 0.2113% in Korea and 0.2196% in Japan due to the price increase of 10% of electricity industry.

Forecasting of Electricity Demand for Fishing Industry Based on Genetic Algorithm approach (유전자 알고리즘에 기반한 수산업 전력 수요 예측에 관한 연구)

  • Kim, Heung-Soe;Lee, Sung-Geun
    • Journal of the Korea Convergence Society
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    • v.8 no.1
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    • pp.19-23
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    • 2017
  • Energy is a vital resource for the economic growth and the social development for any country. As the industry becomes more sophisticated and the economy more grows, the electricity demand is increasing. So forecasting electricity demand is an important for electricity suppliers. Forecasting electricity demand makes it possible to distribute electricity demand. As the market for Negawatt market began to grow in Korea from 2014, the prediction of electricity consumption demand becomes more important. Moreover, power consumption forecasting provides a way for demand management to be directly or indirectly participated by consumers in the electricity market. We use Genetic Algorithms to predict the energy demand of the fishing industry in Jeju Island by using GDP, per capita gross national income, value add, and domestic electricity consumption from 1999 to 2011. Genetic Algorithm is useful for finding optimal solutions in various fields. In this paper, genetic algorithm finds optimal parameters. The objective is to find the optimal value of the coefficients used to predict the electricity demand and to minimize the error rate between the predicted value and the actual power consumption values.

An Analysis on the Causal Relation Between Electricity Consumption and GDP by industries in KOREA (한국의 산업별 전력소비와 경제성장간 인과관계 분석)

  • Park, Min Hyug;Roh, Geon Ki;Lee, Seung Eun
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.30 no.3
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    • pp.39-45
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    • 2016
  • In these days global energy policy is changed from "supply" to "demand". In this regards, there are needs to analysis on effect of policy such as energy efficiency strategy, electricity rates. This study examines the relationship between energy consumption reduced by new energy policy and GDP growth for each industrial sector for Korea from 1970 to 2013. With respect to the direction of causality, energy use of 1th industry like agriculture and mining leads to GDP growth. On the other hand, GDP growth of 2nd industry, manufacturing, leads to energy use. And there is bidirectional causality in 3rd industry, service sector. These findings imply that the government policies aimed at reducing electricity consumptions and increasing energy efficiency should be progressed cautiously depend on status of each industry condition.

A Study on an Improvement Plan of Plant-Use Electricity for New & Renewable Energy Supported by Electric Power Industry Basis Fund (기반기금 지원 신재생에너지 발전에 대한 소내소비전력 처리방안 연구)

  • Jeon, Byung-Kyu;Kim, Jae-Sung
    • 한국신재생에너지학회:학술대회논문집
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    • pp.678-681
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    • 2007
  • Now Korea depends upon the imported resources for about 97% of total using energy. So from October, 2001 Korean government has supported renewable energy business owners by providing them with Electric Power Industry Basis Fund. Only plant-use electricity of the small hydro power plant is exactly managed, but other renewable energy plants is unprepared or not yet managed. Therefore, in this paper, we'll analyze the plant-use electricity management of the small hydro power and propose improvement plans for plant-use electricity of the photovoltaic power plant.

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The Industrial Economic Costs of Unsupplied Electricity in OECD Countries using Input-Output Analysis (산업연관분석을 활용한 전력의 산업별 공급지장비용 평가 : OECD 국가를 중심으로)

  • Lee, Seung-Jae;Jeong, Dong-Won;Yu, Jae-Gab
    • Journal of the Korea Convergence Society
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    • v.7 no.4
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    • pp.191-198
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    • 2016
  • As the electricity produced from the electricity industry, a national key industry in Korea, are supplied to other industries as an intermediate goods, the supply shortage of electricity industry has a large impact on the national economy. This paper attempts to analyze the supply shortage effects which are defined as the negative impact of one won of supply failure in the electricity on the production of other industries. To this end, an input-output analysis using an input-output (I-O) table describing inter-industry flow of intermediate goods is applied. More concretely, the supply-driven model is applied subject to the OECD countries. The value of the supply effects interfere with Denmark's best large 1.682 was followed by South Korea, Japan, Australia, the UK.

The National Economic Effects of Four Power Generation Sectors: Using an Industrial Linkage Analysis (발전부문별 국민경제적 파급효과 분석 - 산업연관분석을 적용하여 -)

  • Kwa, Seung-Jun;Yoo, Seung-Hoon;Han, Sang-Yong
    • Environmental and Resource Economics Review
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    • v.11 no.4
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    • pp.581-608
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    • 2002
  • The electric power industry has played an important role in dramatic economic development in Korea and the electricity has constituted a critical factor sustaining the well-being of the Korean people. This study uses input-output analysis to investigate the role of four electric power sectors (hydroelectric, fossil-fuels, nuclear and non-utility) in the Korean national economy for the period 1985~1998, focusing on four topics: the impacts of electricity supply investments, the electricity supply shortage effects, and the impacts of the rise in electricity rates, and the inter-industry linkage effect. The overall results reveal that non-utility electric sector is superior in terms of the national economy-wide effects to other three sectors throughout the period. Finally, potential uses of the results are illustrated from the perspective of policy instruments and some policy implications are discussed.

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The Study on Disaccord between Industry and College in the Field of Automotive Electricity on Technical Engineering Education (자동차전장분야 공학기술교육에서 산업체와 전문대학의 불일치 연구 - 수리능력과 의사소통능력의 관점에서 -)

  • Park, Sung-Jong;Han, Myoung-Seok;Kim, Young-Il;Lee, Sang-Jun
    • Transactions of the Korean Society of Automotive Engineers
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    • v.17 no.3
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    • pp.68-73
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    • 2009
  • The purpose of this study is to assess key competencies, especially mathematical skills and communications skills, in order to find disaccord between industry and college in the field of automotive electricity on technical engineering education. For this study, an assessment sheet is consisted of nine questions items. Four questions items of them are to assess mathematical skills and five questions items of them are to assess communications skills. 134 copies returned assessment sheets are analyzed after data cleaning and it is concluded that disaccord between industry and college in the field of automotive electricity on technical engineering education is found.

Characteristics and Determinants of Household Electricity Consumption for Different Levels of Electricity Use in Korea (국내 가구의 전력소비 수준에 따른 특성 및 결정요인)

  • Kim, Yong-Rae;Kim, Min-Jeong
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.7
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    • pp.1025-1031
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    • 2017
  • This study compares the characteristics and the determinants of household electricity consumption for low electricity consuming and high electricity consuming households. The data are drawn from a household energy consumption sample survey by Korea Energy Economics Institute in 2015. The results show the differences in socio-demographic, dwelling, and electricity consumption characteristics between two households. Next, the factors affecting the household's electricity consumption are investigated. Common factor affecting the electricity consumption function is only the number of electrical appliances. There are also the differences in major determinants of the household's electricity consumption functions for two households. The results of this study would be useful for understanding socio-demographic, dwelling, and electricity consumption characteristics of low electricity consuming and high electricity consuming households.

Introduction of BETIA in Britain: A Review (영국 전력시장의 BETTA 체제 도입과 시사점 분석)

  • Shin, Dong-Joon;Kim, Chang-Soo
    • Proceedings of the KIEE Conference
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    • pp.270-272
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    • 2007
  • 영국은 1989년 Electricity Act의 발효를 시작으로 전력산업 구조개편을 시작하였다. 이후 Pool 체계를 구성하였으며 10여년의 운영을 거쳐 NETA 체계를 새롭게 구성하였다. 이후 스코틀랜드 전력시장을 통합한 BETTA 체계를 도입하여 영국 전체의 전력시장을 통합하였다. 본 논문에서는 이러한 영국의 전력시장 구조개편 과정을 분석하고 각 체계의 특성을 정리하였으며 이러한 구조개편 과정에서 얻을 수 있는 시사점을 도출하였다.

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Agent-Based Modeling for Studying the Impact of Capacity Mechanisms on Generation Expansion in Liberalized Electricity Market

  • Dahlan, N.Y.
    • Journal of Electrical Engineering and Technology
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    • v.10 no.4
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    • pp.1460-1470
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    • 2015
  • This paper presents an approach to solve the long-term generation expansion planning problem of the restructured electricity industry using an agent-based environment. The proposed model simulates the generation investment decisions taken by a particular agent (i.e. a generating company) in a market environment taking into account its competitors’ strategic investment. The investment decision of a particular company is modeled taking into account that such company has imperfect foresight on the future system development hence electricity prices. The delay in the construction of new plants is also explicitly modeled, in order to compute accurately the yearly revenues of each agent. On top of a conventional energy market, several capacity incentive mechanisms including capacity payment and capacity market are simulated, so as to assess their impact on the investment promotion for generation expansion. Results provide insight on the investment cycles as well as dynamic system behavior of long-term generation expansion planning in a competitive electricity industry.