• Plant Journal
• /
• v.9 no.1
• /
• pp.36-42
• /
• 2013

In this study, repowering scenarios are analyzed and evaluated from the economical point of view on a case by case basis. Based on the result of evaluation, the IRR indicates 2.34% on single 750 MW LNG combined cycle unit, 3.56% on 500 MW sub-bituminous PC units and 2.31% on 200 MW circulating fluidized bed combustion units, resulting in not reaching 7% rate of discount rate and being concluded uneconomical. However, proposes that it is most economical and feasible to repower power plant into 750 MW LNG combined cycle unit as long as the economic feasibility can be improved and it is necessary for old anthracite power plant to be repowered than rebuilt under the circumstances of lacking power supply.

• Journal of IKEEE
• /
• v.23 no.2
• /
• pp.529-533
• /
• 2019

Combined cycle power plants are often used to produce power. These days prediction of power plant output based on operating parameters is a major concern. This paper presents an approach to using computational intelligence technique to predict the output power of combined cycle power plant. Computational intelligence techniques have been developed and applied to many real world problems. In this paper, tree architectures of fuzzy neural networks are considered to predict the output power. Tree architectures of fuzzy neural networks have an advantage of reducing the number of rules by selecting fuzzy neurons as nodes and relevant inputs as leaves optimally. For the optimization of the networks, two-step optimization method is used. Genetic algorithms optimize the binary structure of the networks by selecting the nodes and leaves as binary, and followed by random signal-based learning further refines the optimized binary connections in the unit interval. To verify the effectiveness of the proposed method, combined cycle power plant dataset obtained from the UCI Machine Learning Repository Database is considered.

• Proceedings of the KIEE Conference
• /
• 2011.07a
• /
• pp.1842-1843
• /
• 2011

화력발전소는 화석연료 에너지를 전기에너지로 변환하는 과정에 참여하는 많은 종류의 기기들이 유기적으로 운전되는 복합시스템이다. 발전소 정상운전 중 어느 한 기기가 갑자기 정지되면, 불안정현상이 크게 발생하고 정상 운전이 어렵게 된다. 그러므로 이러한 상황이 발생하는 경우 빠른 시간 내에 적정한 수준으로 출력을 감소시키고, 새로운 안정운전 상태를 찾아가도록 하는 선행적 제어기능이 필요하게 된다. 화력발전소에 이 목적으로 구현되는 제어기능을 로드런백(Load Runback)이라고 부른다. 특히 화력발전소 보일러는 급수, 연료, 통풍을 담당하는 많은 기기가 많이 동시 운전되고 있으므로, 적합하게 설계된 로드런백 기능이 없다면 신뢰성 운전을 보장하기 어렵다. 이 논문에서는 국내 500MW급 표준화력에서 사용하고 있는 로드런백 기능의 핵심을 분석하였고, 이 분석을 토대로 현재 개발 단계에 국산화 제어시스템에 로드런백 기능을 구현하고자 한다. 실제 발전소 취득한 로드런백 시험 그래프를 제시하고 분석 결과의 타당성을 확인하였다.

• 한국신재생에너지학회:학술대회논문집
• /
• 2007.06a
• /
• pp.771-774
• /
• 2007

Integrated Gasification Combined Cycle (IGCC) power plant converts coal to syngas, which is mainly composed with hydrogen and carbon monoxide, by the gasification process and produces electric power by the gas and steam turbine combined cycle power plant. The purpose of this study is to investigate the influence of the syngas to the performance of a gas turbine in a combined cycle power plant. For this purpose, a commercial gas turbine is selected and its performance characteristics are analyzed with syngas. It is found that different heating values of those fuels and chemical compositions in their combustion gases are the causes in the different performance characteristics. Also, Changing of turbine inlet Mass flow lead to change the turbine matching point, in the event the pressure ratio is changed.

• Journal of Energy Engineering
• /
• v.13 no.3
• /
• pp.173-180
• /
• 2004

A technique of the heat rate allocation was devised to monitor the performance of Combined Cycle Power Plant. This calculates the expected heat rate of current conditions and compares it with actual values. Loss allocation in heat rate is reconciled by calculating the magnitude of the deficiency contributed by major components, such as the gas turbine, heat recovery steam generator (HRSG), steam turbine and condenser. Expected power output is determined by a detailed model and correction curves of the plant.

• Proceedings of the KIEE Conference
• /
• 2006.04a
• /
• pp.285-287
• /
• 2006

• Proceedings of the Korea Society for Energy Engineering kosee Conference
• /
• 2004.05a
• /
• pp.213-218
• /
• 2004

• Journal of the Korean GEO-environmental Society
• /
• v.2 no.1
• /
• pp.5-13
• /
• 2001

The purpose of this paper is to present the pressuremeter test result and analysis for Yulchon Combined Cycle Power Plant(CCPP) site. The CCPP site is old backfill area with the hillcut materials obtained from the borrow sources near the mountains. The geology of this area consists of 6-layers from the ground level such as hillcut material, dredged clay fill, silty sand, original marine clay, weathered rock, soft rock, etc.. The pressuremeter test has been carried out with three different probe, in size and membrane type for all layers except the clay layers. The cone penetration test has been also carried out to collaborate with the pressuremeter test in the hillcut material layer.

• Plant Journal
• /
• v.8 no.3
• /
• pp.55-63
• /
• 2012

This study aims to suggest the improved business process by analyzing the current design process on work flow of the 3D design of power plant, drawing a problems and setting the improving direction through the integration method of the business process reengineering(BPR). In order to realize the improved business process, the integrated design performance system focused on the 3D design was established and accordingly the study analyzed cases of project performances through the integration system and drew the improved effects quantitatively. In the result of the project performance applied with the 3D design integration system, it showed 20.4% design cost saving effect for appropriate rated cost and the integration of design information from each design parts, sub contracters and vendors reduced overlapped works and improved the consistency of repeated design alteration.

• Proceedings of the KSME Conference
• /
• 2001.11b
• /
• pp.782-787
• /
• 2001

An optimum thermal design analysis of the combined cycle power plant with triple pressure heat recovery steam generator was performed by the numerical simulation. The optimum design module used in the paper is DNCONF, a function of IMSL Library, which is widly known as a method to search for the local optimum. The objective function to be minimized is the cost of total power plant including the steam turbine power enhancement premium. The result of this paper shows that the cost reduces if the design point of power plant becomes the local optimum, and many calculations at various initial conditions should be carried out to get the value near the global optimum.