Biomass resource allocation alternative (3 Ergebnisse)

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  • Sprache: Englisch

    Verlag: Nova Science Pub Inc, 2013

    1622575296 / 9781622575299

    • Hardcover

    Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USARomtrade Corp.

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    Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

  • Sprache: Englisch

    Verlag: Nova Science Publishers Inc, 2013

    1622575296 / 9781622575299

    • Hardcover

    Anbieter: Kennys Bookstore, Olney, MD, USAKennys Bookstore

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    Zustand: Neu

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    Zustand: New. Editor(s): Daly, Ryan; Crocciata, Jon. Num Pages: 164 pages, illustrations. BIC Classification: 1KBB; RNFY. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 239 x 160 x 17. Weight in Grams: 396. . 2012. UK ed. Hardcover. . . . . Books ship from the US and Ireland.…

  • Sprache: Englisch

    Verlag: Nova Science Publishers Inc Jan 2013, 2013

    1622575296 / 9781622575299

    • Softcover

    Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

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    Taschenbuch. Zustand: Neu. Neuware - The Biomass Scenario Model (BSM) is a system dynamics model developed by the U.S. Department of Energy (DOE) as a tool to better understand the interaction of complex policies and their potential effects on the biofuel industry in the United States. This book provides a holistic understanding of the dynamics surrounding the allocation of biomass among uses that include traditional use, wood pellet exports, bio-based products and bioproducts, biopower and biofuels. Also discussed is a methodology for modeling tradeoffs between alternative uses of scarce biomass energy resources using a linear program (LP) designed to estimate concurrent biomass allocations to the transportation and electricity market sectors. The LP model is called the Biomass Allocation Model. Also discussed are the biomass allocation results of this methodology and the ethanol production and carbon mitigating potential of biomass allocations along with relevant sensitivities to significant model parameters.…