Handbook for Cogeneration and Combined Cycle Power Plants, Second Edition

Boyce, Meherwan P.

doi:10.1115/1.859537

Cited by 44 publications

(65 citation statements)

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“…• The maximum exergetic efficiency is obtained for 2,5 excess air rate for the simple cycle. For the air-fuel and the air preheated cycles the maximum efficiency is obtained at 3,5 excess air rates.…”

Section: The Results and Discussionmentioning

confidence: 98%

“…Electric to heat ratio is the most important factor on decision of a cogeneration system. Fuel cell cogeneration systems produce more electricity than other systems and have higher efficiency for electricity production, (approximately 60 %), but less heat power than other systems [4,5,6]. For a cogeneration system, which matched operation conditions best, there are some various methods for improving efficiency at design and operating stages.…”

Section: Introductionmentioning

confidence: 99%

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Efficiency improvement of gas turbine cogeneration systems

Karaali

Öztürk

2017

Teh. vjesn.

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Original scientific paper In this study eight methods are evaluated for a gas turbine cogeneration cycle to improve the efficiency. These methods are increasing gas turbine inlet air temperature, cooling the inlet air of the compressor, air preheating, fuel preheating, increasing compressor inlet air pressure, increasing air excess rates, steam injection, and humidification of the inlet air of the compressor. These methods are studied in order to compare their effects on the performance of the systems. The effects of these methods on the exergetic efficiency depend on the kind of the cogeneration cycle. By combining recuperation, preheating fuel and steam injection methods high efficiency can be achieved. The combined methods give the best results under variable heat demands of the market. An appropriate combination of the efficiency improvement methods may increase the exergetic efficiency about 20 %. The results show that efficiency improvement methods must be applied together whenever it is possible. Keywords: cogeneration; efficiency; improvements Poboljšanje učinkovitosti kogeneracijskih sustava plinske turbineIzvorni znanstveni članak U radu se procjenjuje osam metoda za poboljšanje učinkovitosti kogeneracijskog ciklusa plinske turbine. Tim se metodama povećava temperatura ulaznog zraka plinske turbine, rashlađuje ulazni zrak kompresora, predgrijava zrak, predgrijava gorivo, povećava tlak ulaznog zraka kompresora, povećava brzina viška zraka, ubrizgava para i vlaži ulazni zrak kompresora. Te se metode istražuju kako bi se usporedilo njihovo djelovanje na performanse sustava. Učinci tih metoda na egzergetsku učinkovitost ovise o vrsti kogeneracijskog ciklusa. Kombiniranjem metoda rekuperacije, predgrijavanja goriva i ubrizgavanja pare može se postići visoka učinkovitost. Kombinirane metode daju najbolje rezultate kod različitih potreba tržišta za toplinom. Odgovarajućom kombinacijom metoda za poboljšanje učinkovitosti može se povećati egzergetska učinkovitost za oko 20 %. Rezultati pokazuju da se metode za poboljšanje učinkovitosti moraju primijeniti zajedno kada je god to moguće.

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Section: The Results and Discussionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Efficiency improvement of gas turbine cogeneration systems

Karaali

Öztürk

2017

Teh. vjesn.

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“…The performance of NGCC power plants is well estimated using the Brayton cycle and Rankine cycle equations, which as found in most engineering thermodynamics textbooks [26,[32][33] are:…”

Section: Ngcc Efficiencymentioning

confidence: 99%

Integrated Solar Combined Cycle Power Plants: Paving the way for thermal solar

Alqahtani

Patiño‐Echeverri

2016

Applied Energy

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Integrated Solar Combined Cycle Power Plants (ISCCs), composed of a Concentrated Solar Power (CSP) plant and a Natural Gas-fired Combined Cycle (NGCC) power plant, have been recently introduced in the power generation sector as a technology with the potential to simultaneously reduce fossil fuel usage and the integration costs of solar power. This study quantifies the economic benefits of an ISCC power plant relative to a stand-alone CSP with energy storage, and a NGCC plant. A combination of tools is used to estimate the levelized cost of electricity (LCOE) and the cost of carbon abatement (CoA) for CSP, NGCC and ISCC technologies under different natural gas prices, and at several locations experiencing different ambient temperatures and solar resources. Results show that an ISCC with up to 10-15% of nameplate capacity from solar energy can be cost effective as a dispatchable electricity generation resource.Integrating the CSP into an ISCC reduces the LCOE of solar-generated electricity by 35-40% relative to a stand-alone CSP plant, and provides the additional benefit of dispatchability. An ISCC also outperforms a CSP with energy storage in terms of LCOE and CoA. The current LCOE of an ISCC is lower than that of a stand-alone NGCC when fuel price reaches 13.5 $/MMBtu, while its CoA is lower at a fuel price of 8.5 $/MMBtu.Although, under low to moderate natural gas price conditions an NGCC generates electricity and abates carbon emissions at a lower cost than an ISCC; small changes in v the capacity factor of an ISCC relative to the NGCC, or capital cost reductions for the CSP component have great impact tilting the balance in the ISCC's favor.

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“…These components degrade over time, and inadequate maintenance of the components can result in high operational cost, increased environmental impact, as well as concerns about safety [1,2].…”

Section: Introductionmentioning

confidence: 99%

Prognosis of Component Degradation Under Uncertainty: A Method for Early Stage Design of a Complex Engineering System

Honda

Zak

et al. 2012

Volume 3: Advanced Composite Materials and Processing; Robotics; Information Management and PLM; Design Engineering

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This paper proposes a method that dynamically improves a statistical model of system degradation by incorporating uncertainty. The method is illustrated by a case example of fouling, or degradation, in a heat exchanger in a cogeneration desalination plant. The goal of the proposed method is to select the best model from several representative condenser fouling models including linear, falling rate, and asymptotic fouling, and to validate and improve model parameters over the duration of operation. Maximum likelihood estimation (MLE) was applied to obtain a stochastic distribution of condenser fouling. Akaike's Information Criterion (AIC) and the Bayesian Information Criterion (BIC) were then computed at time intervals to assess the accuracy of the MLE results. The degradation model was further evaluated by estimating future prognoses and then crossvalidating with real world fouling data. The results show the accuracy of a prognosis can be improved substantially by continuously updating fouling model parameters. The proposed method is a step toward facilitating prognosis of engineering systems in the early design stages by improving the prediction of future com- * Address all correspondence to this author, tomonori@mit.edu. ponent degradation.

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Handbook for Cogeneration and Combined Cycle Power Plants, Second Edition

Cited by 44 publications

References 0 publications

Efficiency improvement of gas turbine cogeneration systems

Efficiency improvement of gas turbine cogeneration systems

Integrated Solar Combined Cycle Power Plants: Paving the way for thermal solar

Prognosis of Component Degradation Under Uncertainty: A Method for Early Stage Design of a Complex Engineering System

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