• 플랜트 저널
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• 제16권4호
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• pp.26-32
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• 2020

화력발전소에서 장치 이상이나 열화로 인해 발전효율이 저하될 때 운전자가 이를 감지하고 적시에 조처를 취할 수 있도록 지원하는 성능관리시스템은 무엇보다도 발전효율을 정확하게 예측하는 것이 중요하다. 공정용 증기 또는 난방용열(이하 공정용 증기로 단일화 표기)과 전기를 동시에 생산하는 열병합발전에 대해 지금까지 다수의 발전효율 모델들이 제안되었는데, 대부분 공정용 증기의 가치를 제대로 평가하지 못해 발전효율을 정확하게 예측하지 못했다. 본 연구에서는 발전효율 예측 모델의 계수를 조업 데이터를 통해 결정하고, 공정용 증기의 전기 환산효율(ECE, Electricity Conversion Efficiency) 모델을 적용함으로써 공정용 증기의 가치를 정확하게 평가할 수 있도록 하였다. 본 방법을 열병합발전의 설계 데이터에 적용하여 발전부하에 대한 발전효율의 추세선을 구한 결과 R2가 99.91%로 회귀 수준이 매우 높았다. 본 결과로부터 조업 데이터를 이용한 ECE 모델 계수 결정 방법이 발전효율을 정확하게 예측하여 열병합발전에 대한 성능 모니터링에 적합함을 확인할 수 있었다.

• 한국태양에너지학회 논문집
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• 제29권1호
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• pp.64-69
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• 2009

This paper aims at enhancing the electric production efficiency of photovoltaic(PV) system. The electrical power of PV system is proportional to light intensity on a PV module surface. In this paper, we apply two types of systems to enhance power generation efficiency. First, of all, concentring sunlight using specular surface and one-axis tracking system which traces the sun with vertical direction are applied in this project. From this, we analyze the fixed type method and power generation efficiency.

• 자원ㆍ환경경제연구
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• 제9권5호
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• pp.811-827
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• 2000

Since improved thermal efficiency reduces capacity requirements and energy costs, electricity producers often treat thermal efficiency as a measure of management or economic performance. The conventional measure of the thermal efficiency of a fossil-fuel generation system is the ratio of total electricity generation to the simple sum of energy inputs. As a refined approach, we present a novel thermal efficiency measure using the concept of the Divisia index number. Application of this approach to the Korean power sector shows improvement of thermal efficiency of 1.1% per year during 1970-1998. This is higher than the 0.9% improvement per year given by the conventional method. The difference is attributable to the effect of fuel substitution. In the Divisia decomposition context, we also show the limitations of the popular $T{\ddot{o}}rnqvist$ index formula and the superiority of the Sato-Vartia formula.

• 한국건설관리학회논문집
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• 제18권5호
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• pp.11-19
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• 2017

본 연구에서는 단지형 건물 군 내 여러 건물의 옥상에 설치된 태양광 패널의 연간 발전량 분석을 통해 설치 여건에 따른 발전 효율의 차이와 원인을 확인하고자 하였다. 즉, 일정한 지역에 입지한 다수의 태양광 발전 실적에 대한 사후 평가를 통하여 효율에 영향을 끼는 환경적 변수를 도출하고 이들의 상대적인 영향력을 파악하고자 하였다. 기존의 연구는 개별적 영향 요인의 최적화 방안을 실험 환경에서 도출한 연구가 주를 이루고 있으며 실제 운영 성과물을 대상으로 한 실증적인 연구가 부족한 실정이다. 본 연구의 결과, 같은 지역에 설치되어 있더라도 환경적 요인에 의하여 최대 1.5배의 발전 효율을 보이고 있음을 확인하였다. 또한 변환 효율에 영향을 주는 변수인 방위각, 앙각, 음영에 대해서 통계적 검정을 실시한 결과 모든 요인이 종속변수인 변환효율에 영향을 주는 변수임을 통계적으로 확인하였다. 가장 큰 영향을 주는 요인은 방위각이며, 다음으로 앙각과 음영이 발전효율에 영향을 끼치는 요인으로 밝혀졌다. 본 연구를 통해 태양광 발전 설비의 도입이 꾸준히 증가하고 있는 여건에서 실제 설치된 환경적 요인이 변환 효율에 영향을 주는 정도를 실증적으로 확인하여 향후 도입되는 태양광 발전 설비의 설치 가이드라인을 제공할 수 있을 것으로 기대한다.

• Bulletin of the Korean Chemical Society
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• 제30권1호
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• pp.97-101
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• 2009

A new approach was applied to examine the charge generation and transport in organic photoconductive devices by Monte‐Carlo simulation utilizing multiple site interactions of carriers with all other charges within Coulomb radius. Stepwise generation frame was considered first by a charge separation process that was counted in two separate transactions, i.e., hopping against physical decay and dissociation against recombination. Thereafter, diffusion/ drifting process of free carriers was counted to follow. This method enables to examine readily the photocurrent generated alongside the charge generation efficiency. The field and temperature dependences of the efficiency and photocurrent were obtained comparable to Onsager’s and experimental data.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 2007년도 추계학술대회 논문집
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• pp.31-37
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• 2007

The generation cost of photo voltaic is the most expensive among the renewable energy. To reduce the generation cost of photo voltaic, the proposed method added the regeneration power of elevator. Therefore we have the simulation results the proposed method is 60[%] higher than the previous photo voltaic generation for efficiency of generation.

• Architectural research
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• 제18권2호
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• pp.59-64
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• 2016

Since the massive power outages that hit across the nation in September 2011, a growing imbalance between energy supply and demand has led to a severe backup power shortage. To overcome the energy crisis which is annually repeated, a policy change for deriving energy supply from renewable energy sources and a demand reduction strategy has become essential. Buildings account for 18% of total energy consumption and have great potential for energy efficiency improvements; it is an area considered to be a highly effective target for reducing energy demand by improving buildings' energy efficiency. In this regard, retrofitting buildings to promoting environmental conservation and energy reduction through the reuse of existing buildings can be very effective and essential for reducing maintenance costs and increasing economic output through energy savings. In this study, we compared the energy reduction efficiency of national power energy consumption by unit production volume based on thermal power generation, renewable energy power generation, and initial and operating costs for a building retrofit. The unit production was found to be 13,181GWh/trillion won for bituminous coal-fired power generation, and 5,395GWh/trillion won for LNG power generation, implying that LNG power generation seemed to be disadvantageous in terms of unit production compared to bituminous coal-fired power generation, which was attributable to a difference in unit production price. The unit production from green retrofitting increased to 38,121GWh/trillion won due to the reduced energy consumption and benefits of greenhouse gas reduction costs. Renewable energy producing no greenhouse gas emissions during power generation and showed the highest unit production of 75,638GWh/trillion won, about 5.74 times more effective than bituminous coal-fired power generation.

• 한국수소및신에너지학회논문집
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• 제24권5호
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• pp.373-385
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• 2013

To obtain higher power efficiency of Residential Power Generation system(RPG), it is needed to operate system on optimized stoichiometric ratios of fuel and air. Stoichiometric ratios of fuel/air are closely related to efficiency of stack, reformer and power consumption of Balance Of Plant(BOP). In this paper, optimizing stoichiometric ratios of fuel/air are conducted through systematic experiments and modeling. Based on fundamental principles and experimental data, constraints are chosen. By implementing these optimum values of stoichiometric ratios, power efficiency of the system could be maximized.

• 한국환경과학회지
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• 제29권6호
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• pp.623-631
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• 2020

This study analyzes the effect of negative air ions on the concentration of airborne particulate matter and evaluates the expected purification efficiency of open spaces for particulate matter by investigating the amount of negative air ions generated by plants. This study establishes a negative air ion generation treatment environment, plant environment, and control environment to measure the purification efficiency of particulate matter under the conditions of each, analyzing the expected purification efficiency by designing a particulate matter purification model. Results show that the amount of generated negative air ion according to environment was negative air ion generation treatment environment > plant environment > control environment; this order also applies to the particulate matter purification efficiency. Moreover, it took 65 min for the negative ion generation treatment environment, 90 min for the plant environment, and 240 min for the control environment to reach the standard expected purification efficiency of particulate matter concentration of 960 mg/㎥ for PM₁₀. For PM_2.5, with the designated maximum concentration of 700 mg/㎥, it took 60 min for the negative ion generation treatment environment, 80 min for the plant environment, and more than 240 min for the control environment. Based on these results, the expected purification efficiency compared to the control environment was quadrupled in the negative ion generation treatment environment and tripled in the plant environment on average.

• 조명전기설비학회논문지
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• 제28권10호
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• pp.95-100
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• 2014

To solve the problem of conventional fossil energy, utilization of renewable energy is growing rapidly. Solar energy as an energy source is infinite, and a variety of research is being conducted into its utilization. To change solar energy into electrical energy, we need to build a solar power plant. The efficiency of such a plant is strongly influenced by meteorological factors; that is, its efficiency is determined by solar radiation. However, when analyzing observed generation data, it is clear that the generated amount is changed by various factors such as weather, location and plant efficiency. In this paper, we proposed a solar power generation prediction algorithm using geographical factors such as latitude and elevation. Hence, changes in generated amount caused by the installation environment are calculated by curve fitting. Through applying the method to calculate this generation amount, the difference between real generated amount is analyzed.