• Tribology and Lubricants
• /
• 제37권2호
• /
• pp.71-76
• /
• 2021

As opposed to using fossil fuels, we need to use eco-friendly resources such as sunlight, raindrops and wind to produce electricity and combat environmental pollution. A triboelectric nanogenerator (TENG) is a device that converts mechanical energy into electricity by inducing repetitive contact and separation of two dissimilar materials. During the contact and separation processes, electron flow occurs owing to a change in electric potential of the contacting surface caused by contact electrification and electrostatic induction mechanisms. A solid-solid contact TENG is widely known, but it is possible to generate electricity via liquid-solid contact. Therefore, by designing a hydrophobic TENG, we can gather electricity from raindrop energy in a feasible manner. To fabricate the superhydrophobic surface of TENGs, we employ a dip coating technique to synthesize an octadecylamine (ODA)- and polydimethylsiloxane (PDMS)-based coating on polyethylene terephthalate (PET). The synthesized coating exhibits superhydrophobicity with a contact angle greater than 150° and generates a current of 2.2 ㎂/L while water droplets fall onto it continuously. Hence, we prepare a box-type TENG, with the ODA/PDMS coating deposited on the inside, and place a 1.5 mL water droplet into it. Resultantly, we confirm that the induced vibration causes continuous impacts between the ODA/PDMS coating and the water, generating approximately 100 pA for each impact.

• Journal of the Korean Data and Information Science Society
• /
• 제27권2호
• /
• pp.275-284
• /
• 2016

정확한 전력수요 예측은 에너지 소비를 줄이고 전력수급의 불균형을 방지한다. 본 연구는 외부요인의 영향을 가장 적게 받는 특정 시간대의 일 단위 전력 수요량을 참조선 (reference line)으로 한 시계열모형을 세우고자 한다. 고려된 시계열모형은 슬라이딩 창을 이용한 이중 계절성 Holt-Winters 모형과 TBATS 모형이다. 시계열모형의 모수는 2009년 1월 4일부터 2011년 12월 31일까지 자료를 이용하여 추정되었으며, 2012년 1월 1일부터 2012년 12월 29일까지의 각 모형의 전력수요량을 예측하여 성능을 비교하였다. RMSE와 MAPE를 통해 예측 성능을 비교한 결과 TBATS 모형의 성능이 우수하였다.

• 산업공학
• /
• 제24권4호
• /
• pp.351-361
• /
• 2011

Forecasting of electricity demand have difficulty in adapting to abrupt weather changes along with a radical shift in major regional and global climates. This has lead to increasing attention to research on the immediate and accurate forecasting model. Technically, this implies that a model requires only a few input variables all of which are easily obtainable, and its predictive performance is comparable with other competing models. To meet the ends, this paper presents an energy demand forecasting model that uses the variable selection or extraction methods of data mining to select only relevant input variables, and employs support vector regression method for accurate prediction. Also, it proposes a novel performance measure for time-series prediction, shift index, followed by description on preprocessing procedure. A comparative evaluation of the proposed method with other representative data mining models such as an auto-regression model, an artificial neural network model, an ordinary support vector regression model was carried out for obtaining the forecast of monthly electricity demand from 2000 to 2008 based on data provided by Korea Energy Economics Institute. Among the models tested, the proposed method was shown promising results than others.

• 자원ㆍ환경경제연구
• /
• 제9권2호
• /
• pp.349-371
• /
• 2000

Data Envelopment Analysis model is a linear programming based technique for measuring the relative performance of organizational units where the presence of multiple inputs and outputs makes comparison difficult. A common measure for relative efficiency is weighted sum of outputs divided by weighted sum of inputs. DEA model allows each unit to adopt a set of weight that shows it in the most favorable light in comparison to the other unit. In this paper, we present the mathematical background and characteristics of DEA model, and give a short case study where we apply the DEA model to evaluate the relative efficiencies of 51 global electricity companies. The technical efficiency and scale efficiency are also to be investigated. Generating capacity and the number of employees are used for input data, and revenue, net profit and electricity sales are used for output data. We find that the companies with 100% relative efficiency are only 9 among 51 electricity companies. And the technical and scale efficiency of KEPCO is 98.7% and 78.89%, respectively. This means that the inefficiency of KEPCO is caused by the scale inefficiency. The analysis shows that the employees should be decreased by 15% at minimum to get the 100% efficiency. The result suggests that KEPCO needs the structural reform to improve the efficiency.

• 자원ㆍ환경경제연구
• /
• 제15권2호
• /
• pp.319-353
• /
• 2006

본 논문은 날씨파생상품이 전기도매시장에서의 가격 및 수량 위험의 헤지수단으로서 활용될 수 있다는 것을 보여주고 있다. 또한 일별 수준의 가격과 물량이 아니라 여름기간 동안의 전기도매시장에서의 전기구입 비용 혹은 전기판매 수입을 대상으로 하여 날씨관련 계약형태의 위험헤지효과를 살펴보았다. 날씨관련 계약들이 전기도매시장의 시장신호를 더 잘 보전하고 있으며, 도매전기 구입관련 금융위험을 더 잘 헤지함을 발견하였다. 전기도매시장에서 선물계약과 날씨파생상품을 결합하였을 경우, 더운 날의 경우 높은 전기생산비용이 가격에 반영되며, 전기판매 수입 혹은 전기구입 비용의 변동성이 현저히 낮아진다는 것을 발견하였다.

• 한국콘텐츠학회논문지
• /
• 제9권7호
• /
• pp.121-129
• /
• 2009

전력검침은 전력 사용요금을 부과하기 위하여 전력사용량을 측정하는 행위를 말하며, 이를 자동화한 시스템을 전력원격검침(AMR: Automatic Meter Reading)이라 한다. 전력원격검침은 검침 인력을 시스템으로 대체해 원가를 줄이고 고객 서비스를 강화할 수 있는 시스템으로 부각되고 있다. 본 논문에서는 기존의 전력원격검침 모델의 대안으로 스마트카드 기반의 전력원격검침 프레임워크 SCEMS를 제안하고 구현하였다. 제안된 SCEMS 프레임워크는 자바카드 기반의 다기능 스마트카드를 사용하며, 스마트카드에 수집된 자료와 가구의 전력사용 패턴을 활용하여 다양한 요금제를 지원하는 등의 고객서비스를 제공한다. 제안된 원격검침 모델 연구는 전력산업의 환경변화에서 초래할 다원화, 이질화, 복합화에 대한 해결방안이 될 수 있을 것으로 보인다.

• Advances in Energy Research
• /
• 제5권2호
• /
• pp.129-145
• /
• 2017

In this study, the use of a micro gas turbine system using biogas to supply heating, cooling and electricity loads of a rural building located in rural area around Tehran has been studied. Initially, the amount of energy needed by the farmhouse was calculated and then the number of needed microturbines was determined. Accordingly, the amount of substances entering biogas digester as well as tank volume were determined. The results of this study showed that village house loads including electrical, heating and cooling and hot water loads can be supplied by using a microturbine with a nominal power of 30 kW and $33.5m^3/day$ of biogas. Digester tank and reservoir tank volumes are $67m^3$ and $31.2m^3$, respectively. The cost of electricity produced by this system is 0.446 US$/kWh. For rural area in Iran, this system is not compatible with micro gas turbine and IC engine system use urban natural gas due to low price of natural gas in Iran, but it can be compatible by wind turbine, photovoltaic and hybrid system (wind turbine& photovoltaic) systems.

• 한국항행학회논문지
• /
• 제16권4호
• /
• pp.709-716
• /
• 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.

• KIEE International Transactions on Power Engineering
• /
• 제5A권4호
• /
• pp.403-411
• /
• 2005

At present, the Cournot model is one of the most commonly used theories to analyze the gaming situation in an oligopoly type market. However, several problems exist in the successful application of this model to the electricity market. The representative one is obtaining the inverse demand curve able to be induced from the relationship between market price and demand response. In the Cournot model, each player offers their generation quantity to obtain maximum profit, which is accomplished by reducing their quantity compared with available total capacity. As stated above, to obtain the probable Cournot equilibrium to reflect the real market situation, we have to induce the correct demand function first of all. Usually the correlation between price and demand appears over the long-term through statistical data analysis (for example, regression analysis) or by investigating consumer utility functions of several consumer groups classified as residential, industrial, and commercial. However, the elasticity has a tendency to change continuously according to the total market demand size or the level of market price. Therefore it should be updated as the trading period passes by. In this paper we propose a method for inducing and updating this price elasticity of demand function for more realistic market equilibrium.

• 전기학회논문지
• /
• 제64권2호
• /
• pp.222-227
• /
• 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.