• 제목/요약/키워드: Electricity Cost

검색결과 738건 처리시간 0.022초

정규성 개선에 중점을 둔 제조업 에너지 수요구조 모형 연구 : 오목성 조건을 만족하는 Translog 비용함수 모형 (Modeling Korean Energy Consumption Behavior Using a Concavity Imposed Translog Cost Function)

  • 김지효;허은녕
    • 자원ㆍ환경경제연구
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    • 제19권3호
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    • pp.633-658
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    • 2010
  • 본 연구에서는 1970년~2005년 기간 동안 한국 제조업의 Translog 비용함수를 분석함에 있어, 비제약 모형과 사전적으로 오목성을 부과한 제약 모형을 추정하여 그 결과를 비교하였다. 제약 모형은 비제약 모형에 비해 다소 낮은 로그우도값에 불구하고, 전 자료 구간에 대하여 정규성을 만족하여 비용함수와 생산기술 간의 쌍대성을 만족하는 추정 결과가 도출되었다. 제약 모형의 가격탄력성 분석 결과, 전력과 자본 사이에는 보완성이 존재하여 자본 수요가 증가함에 따라 전력 수요가 증가하는 것으로 나타났다. 한편 전력 수요는 노동, 연료 및 재료 수요를 모두 대체하는 방향성이 관측되어 한국 제조업이 전력 사용이 증가하는 방향으로의 구조변화를 경험하고 있는 것으로 분석되었다.

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신.재생에너지이용 발전전력 기준가격 산정에서의 쟁점 (Critical Issues in Assessing Feed-In Tariffs of Electricity from New and Renewable Energies)

  • 김은일;김건훈
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2008년도 춘계학술대회 논문집
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    • pp.87-90
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    • 2008
  • Levelized generation cost(LGC) has been widely used in assessing feed-in tariffs(FiT) for electricity generating from new and renewable energies. Current FiTs for renewable electricity in Korea have been fixed and applied with realistic economic data by the efforts of KERI(Korea Electrotechnology Research Institute) since October 2006. Some critical issues on the estimation of LGC are, however, found in KERI's report. Major issues are the estimation of capital cost, the consideration of corporate tax, and the application of economic life cycle in the formulae for LGC. These critical issues are examined and interpreted in a correct way in this paper.

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전기충전소의 경제적 운영을 위한 독립발전 시스템 설계 (Independent Generation System Design for the Economic Management of Electrical Charging Stations)

  • 서진규;김규호;이상봉
    • 전기학회논문지
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    • 제64권2호
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    • pp.222-227
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    • 2015
  • This paper presents the optimal energy generation systems for economical EVs(Electric Vehicles) charging stations located in an island area. The system includes grid electricity, diesel generator and renewable energy sources of wind turbines and PV(Photovoltaic) panels. The independent generation system is designed with data resources such as annual average wind speed, solar radiation and the grid electricity price by calculating system cost under different structures. This sensitive analysis on the varying data resources allows for the configuration of the most economical generation system for charging stations by comparing initial capital, operating cost, NPC(Net Present Cost) and COE(Cost of Energy). Depending on the increase of the grid cost, the NPC variation of the most economical system which includes renewable energy generations and grid electricity can be smaller than those of other generation systems.

수용가 수요관리용 전지전력저장시스템의 최적용량 산정방법 (Optimal Capacity Determination Method of Battery Energy Storage System for Demand Management of Electricity Customer)

  • 조경희;김슬기;김응상
    • 전기학회논문지
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    • 제62권1호
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    • pp.21-28
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    • 2013
  • The paper proposes an optimal sizing method of a customer's battery energy storage system (BESS) which aims at managing the electricity demand of the customer to minimize electricity cost under the time of use(TOU) pricing. Peak load limit of the customer and charging and discharging schedules of the BESS are optimized on annual basis to minimize annual electricity cost, which consists of peak load related basic cost and actual usage cost. The optimal scheduling is used to assess the maximum cost savings for all sets of candidate capacities of BESS. An optimal size of BESS is determined from the cost saving curves via capacity of BESS. Case study uses real data from an apartment-type factory customer and shows how the proposed method can be employed to optimally design the size of BESS for customer demand management.

전과정을 고려한 에너지 자원별 전력생산의 온실가스 배출량과 비용의 상관관계 분석 (Life cycle analysis on correlation relationship between GHG emission and cost of electricity generation system for energy resources)

  • 김희태;안태규
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2011년도 춘계학술대회 초록집
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    • pp.136.2-136.2
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    • 2011
  • In this work, we analyzed correlations between life-cycle greenhouse gas (GHG) emissions and life-cycle cost of energy resources. Energy resources studied in this paper include coal, natural gas, nuclear power, hydropower, geothermal energy, wind power, solar thermal energy, and solar photovoltaic energy, and all of them are used to generate electricity. We calculated the mean values, ranges of maximum minus minimum values, and ranges of 90% confidence interval of life-cycle GHG emissions and life-cycle cost of each energy resource. Based on the values, we plotted them in two dimensional graphs to analyze a relationship and characteristics between GHG emissions and cost. Besides, to analyze the technical maturity, the GHG emissions and the range of minimum and maximum values were compared to each other. For the electric generation, energy resources are largely inverse proportional to the GHG emission and the corresponding cost.

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전력망 연동형 해수담수화 플랜트의 운영비용 절감효과 (The Cost Reduction Effect of Gridable Sea Water Reverse Osmosis Desalination Plant)

  • 이종현;최중인;배시화;고원석
    • 조명전기설비학회논문지
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    • 제25권1호
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    • pp.64-69
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    • 2011
  • A novel concept of the gridable desalination plant is to provide an operation management to enable an electricity plant operation cost reduction. Adjusting recovery rate responded to electricity price, an electricity plant operation cost can be saved. To show a suggested approach, the data of 10 [MIGD](Million Imperial Gallons per Day) SWRO testbed are used. The result shows that total cost reduction rate is calculated about 1.6[%] of annual total electric plant operation cost.

전원개발계획(電源開發計劃)에서의 비용최소화(費用最小化)와 발전원가(發電原價) (Least Cost Generation Expansion Planning Methodology and Generation Cost)

  • 정도영;박경서;박종배
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1992년도 하계학술대회 논문집 A
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    • pp.106-109
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    • 1992
  • This paper Introduces the concept of the generation cost of generating utilities and its calculation methods. Also, the economic evaluation method using generation cost which is called as a screening curve method will be presented along with the benefits and disadvantages of this concept. Next, the least-cost electric utility planning techniques which is used very widely in many countries will be Introduced In comparison with screening curve method. In this aspects, the optimal dynamic mix can be determined as a result. By comparing these two concepts, we will get the concrete concept why the economic evaluation method using generation cost can not be used for the future generation expansion planning.

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탄소세(炭素稅)를 고려한 화력발전 설비간의 경제성 평가 (Economic Analysis of Power Plant Utilities Under $CO_2$ Emission Tax)

  • 김지수;이병남;김태진
    • 산업공학
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    • 제10권1호
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    • pp.237-248
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    • 1997
  • The purpose of this study is to make an economic analysis of power plant utilities by examining electricity generating costs with environmental consideration. Economic growth has caused pollutant emission, and subsequent environmental pollution has been identified as a very real limit to sustainable development. Considering the enormous role of electricity in the national economy, it is thus very important to study the effect of environmental regulations on the electricity sector. Because power utilities need large investments during construction, operation and maintenance, and also require much construction lead time. Economic analysis is the very important process in the electric system expansion planning. In this study, the levelized generation cost method is used in comparing economic analysis of power plant utilities. Among the pollutants discharged of the electricity sector, this study principally deals with the control activities related only to $CO_2$, and $NO_2$, since the control cost of $SO_2$, and TSP (Total Suspended Particulates) is already included in the construction cost of utilities. The cost of electricity generation in a coal-fired power plant is compared with one in an LNG combined cycle power plant. Moreover this study surveys the sensitivity of fuel price, interest rate and carbon tax. In each case, this sensitivity can help to decide which utility is economically justified in the circumstance of environmental regulations.

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액화 공기 에너지 저장 기술(LAES)의 경제성 분석 (Economic Evaluation of Liquid Air Energy Storage (LAES) System)

  • 고아름;박성호;류주열;박종포
    • 신재생에너지
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    • 제16권1호
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    • pp.1-14
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    • 2020
  • Liquid air energy storage (LAES) using gas liquefaction has attracted considerable attention because of its mature technology, high energy density, few geographical constraints, and long life span. On the other hand, LAES has not yet been commercialized and is being developed recently. Therefore, few studies have performed an economic analysis of LAES. In this study, the levelized cost of electricity was calculated and compared with that of other energy storage systems. As a result, the levelized cost of electricity of LAES was $371/MWh. This is approximately $292/MWh, $159/MWh, $118/MWh, and $3/MWh less than that of the LiCd battery, VRFB battery, Lead-acid battery, and NaS battery. In addition, the cost was approximately $62/MWh and $195/MWh more than that of Fe-Cr flow battery and PHS. Sensitivity analysis of the levelized cost of electricity according to the main economic factors was performed, and economic uncertainty analysis was performed through a Monte-Carlo simulation. The cumulative probability curve showed the levelized cost of electricity of LAES, reflecting price fluctuations in the air compressor cost, electricity cost, and standing reserve hourly fee.

도시철도 시스템 전기요금 절감을 위한 혼합정수계획법 기반 ESS(에너지저장장치) 스케줄링 기법 (Mixed Integer Programming (MIP)-based Energy Storage System Scheduling Method for Reducing the Electricity Purchasing Cost in an Urban Railroad System)

  • 고락경;공성배;주성관
    • 전기학회논문지
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    • 제64권7호
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    • pp.1125-1129
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    • 2015
  • Increasing peak load is one of the major concerns about operation of urban railroad systems. Since ESSs (Energy Storage Systems) have a great potential for shaving the peak load, there has been a growing interest in the use of ESS for peak load reduction. Also, ESS can be optimally scheduled to minimize the electricity purchasing cost under a given ToU (Time-of-Use) tariff by taking advantage of electricity price difference between peak and off-peak time. This paper presents a Mixed Integer Programming (MIP)-based ESS scheduling method to minimize the electricity purchasing cost under a ToU tariff for an urban railroad system.