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EN
A novel system enhancing the performance of a combined cycle gas turbine has been proposed in the paper, based on the example of the thermal-electric power station currently under construction in Włocławek. Analysis shows that annual average electrical efficiency rises by 0.6% and that power output rises by up to 4%, depending on the ambient conditions. GE's GateCycle software was used in the modeling.
PL
W artykule przedstawiono możliwość zastosowania ekspanderów gazu ziemnego do produkcji energii elektrycznej w warunkach polskich. Omówiono rolę i lokalizację ekspanderów w systemie transportu gazu. Przedstawiono możliwe sposoby podgrzewu gazu przed ekspansją, zwłaszcza wariant z kotłem oraz silnikiem gazowym. Przeprowadzono wstępną analizę ekonomiczną dla przykładowego obiektu o mocy 530 kW, wpasowanego w podstawę obciążenia stacji gazowej. Wyniki analizy wskazują na możliwy do uzyskania czas zwrotu na poziomie 5 lat przy integracji z silnikiem gazowym oraz 11 lat przy współpracy z kotłem grzewczym. Wskazano także na pozostałe do rozwiązania przeszkody formalne we wdrożeniu technologii na rynek polski.
EN
The paper presents the possibility of installing natural gas expanders for the production of electricity within the Polish gas transmission system. The position of expanders in the entire gas transport process was indicated. Existing options for gas pre-heating were discussed, with focus on systems based on gas boilers and IC engines. A pre-feasibility study for a sample pressure reduction object supplied with a 530 kW gas expander was performed; the expander was designed to match baseload flow conditions. The case study shows that a pay-back time of 5 years is possible for a system with an IC engine, while a system with a gas boiler has a longer pay-back time of 11 years. Finally, formal problems that must be solved to allow the technology to enter the Polish market, were briefly discussed.
3
Content available remote Computer-aided interpretation of medical images: mammography case study
EN
This paper presents the current limitations and challenges of computer-aided interpretation of radiological examinations. The analysis and the proposed improvements in interpretation arose from our experience, knowledge and observations with the collected suggestions and conclusions. The emphasized topics are as follows: computer understanding of human determinants of diagnosis, characteristics and enhancement of observer performance, diagnostic accuracy measures of image examinations, computer-aided diagnosis (CAD) systems, and numerical description of medical image-based content. All of these diagnosis support concepts can be integrated into an intelligent diagnosis interface and enhanced, basing on a formal description of semantic image content, i.e. ontology implied as a reliable, dynamic platform of medical knowledge, useful for diagnosis. CAD for mammography and content-based image indexing supported by the ontology were integrated for the needs of an enhanced diagnostic workstation applied in tele-information medical systems. A design of an effective human-machine interface has arisen as the leading problem of the current challenges.
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