Isbn: 9786209239670 - sam-based performance modeling of a 50 mwe solar thermal power plant: power for future (11 risultati)

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  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2026

    6209239676 / 9786209239670

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  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2026

    6209239676 / 9786209239670

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    PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2026

    6209239676 / 9786209239670

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    Da: California Books, Miami, FL, U.S.A.California Books

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  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2026

    6209239676 / 9786209239670

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    Taschenbuch. Condizione: Neu. SAM-Based Performance Modeling of a 50 MWe Solar Thermal Power Plant | Power for Future | Dinesh Kumar Sharma (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209239670 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing Jan 2026, 2026

    6209239676 / 9786209239670

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 112 pp. Englisch.

  • Lingua: Inglese

    Editore: LAP Lambert Academic Publishing, 2026

    6209239676 / 9786209239670

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    Da: CitiRetail, Stevenage, Regno UnitoCitiRetail

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    Paperback. Condizione: new. Paperback. India's tropical geographical location offers immense potential for solar energy utilization. With rapid growth in population and GDP, the country's energy demand is increasing continuously, while excessive reliance on fossil fuels is accelerating greenhouse gas emissions and global warming. In this context, adopting solar energy has become a national necessity rather than a choice. This book presents the performance estimation and modeling of a 50 MWe Concentrated Parabolic Trough Solar Thermal Power Plant using the System Advisor Model (SAM) software. Emphasis is placed on virtual techno-economic analysis to optimize plant design while saving time and cost. SAM integrates key inputs such as site-specific meteorological data, solar field configuration, collectors, receivers, power cycle, thermal storage, system costs, and financial parameters to simulate plant performance. The simulated results are validated against actual plant data. The model predicts an annual electricity generation of 97.24 million kWh compared to 97.42 million kWh from the actual plant under identical conditions, showing a close agreement with only 0.18% deviation. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2026

    6209239676 / 9786209239670

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    Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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    EUR 116,65

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  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing Jan 2026, 2026

    6209239676 / 9786209239670

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -India's tropical geographical location offers immense potential for solar energy utilization. With rapid growth in population and GDP, the country's energy demand is increasing continuously, while excessive reliance on fossil fuels is accelerating greenhouse gas emissions and global warming. In this context, adopting solar energy has become a national necessity rather than a choice. This book presents the performance estimation and modeling of a 50 MWe Concentrated Parabolic Trough Solar Thermal Power Plant using the System Advisor Model (SAM) software. Emphasis is placed on virtual techno-economic analysis to optimize plant design while saving time and cost. SAM integrates key inputs such as site-specific meteorological data, solar field configuration, collectors, receivers, power cycle, thermal storage, system costs, and financial parameters to simulate plant performance. The simulated results are validated against actual plant data. The model predicts an annual electricity generation of 97.24 million kWh compared to 97.42 million kWh from the actual plant under identical conditions, showing a close agreement with only 0.18% deviation.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 112 pp. Englisch.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2026

    6209239676 / 9786209239670

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    Da: Books Puddle, New York, NY, U.S.A.Books Puddle

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  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2026

    6209239676 / 9786209239670

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    Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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    EUR 118,63

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  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2026

    6209239676 / 9786209239670

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    EUR 124,19

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    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - India's tropical geographical location offers immense potential for solar energy utilization. With rapid growth in population and GDP, the country's energy demand is increasing continuously, while excessive reliance on fossil fuels is accelerating greenhouse gas emissions and global warming. In this context, adopting solar energy has become a national necessity rather than a choice. This book presents the performance estimation and modeling of a 50 MWe Concentrated Parabolic Trough Solar Thermal Power Plant using the System Advisor Model (SAM) software. Emphasis is placed on virtual techno-economic analysis to optimize plant design while saving time and cost. SAM integrates key inputs such as site-specific meteorological data, solar field configuration, collectors, receivers, power cycle, thermal storage, system costs, and financial parameters to simulate plant performance. The simulated results are validated against actual plant data. The model predicts an annual electricity generation of 97.24 million kWh compared to 97.42 million kWh from the actual plant under identical conditions, showing a close agreement with only 0.18% deviation.