Get Energy Myths and Realities: Bringing Science to the Energy PDF

By Vaclav Smil

ISBN-10: 0844743283

ISBN-13: 9780844743288

EISBN-13: 978-0-8447-4328-8

There are many misconceptions concerning the way forward for worldwide power frequently offered as truth by means of the media, politicians, enterprise leaders, activists, or even scientists losing money and time and hampering the advance of revolutionary strength guidelines. Energy Myths and Realities: Bringing technology to the power coverage Debate debunks the most typical fallacies to make approach for a optimistic, clinical method of the worldwide strength problem. whilst will the area run out of oil? may still nuclear strength be followed on a bigger scale? Are ethanol and wind strength doable assets of strength for the long run? Vaclav Smil advises the general public to be cautious of exaggerated claims and most unlikely offers. the worldwide strength transition could be lengthy and dear and hinges at the improvement of an intensive new infrastructure. confirmed applied sciences and conventional power assets are continual and adaptable adequate to work out the realm via that transition. Energy Myths and Realities brings a systematic standpoint to a subject usually ruled via groundless assertions, unfounded claims, and uncritical considering. earlier than we will be able to create sound strength rules for the long run, we needs to surrender the preferred myths that cloud our judgment and bog down precise development.

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Extra info for Energy Myths and Realities: Bringing Science to the Energy Policy Debate

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Mahwah, NJ: Lawrence Erlbaum Associates. 40 STRUCTURAL EQUATION MODELING: AN INTRODUCTION Marcoulides, G. A. & Schumacker, R. E. ) (1996). Advanced Structural Equation Modeling: Issues and Techniques. Mahwah, NJ: Lawrence Erlbaum Associates. Marsh, H. , Balla, J. R. & Hau, K. T. (1996). An evaluation of incremental fit indices: A clarification of mathematical and empirical properties. In G. A. Marcoulides & R. E. ), Advanced Structural Equation Modeling: Issues and Techniques, pp. 315–354. Mahwah, NJ: Lawrence Erlbaum Associates.

Therefore, a daily measure of salinity may tell us something about salinity stress, but this single indicator is not a perfect measure of the construct “salinity stress”. , Chapter 1). 1a) consists of an independent variable, I1, and a dependent variable, D1. The single-headed arrow 43 B. H. 1. Path model diagrams. (a) A simple linear regression with independent variable (I1) and dependent variable (D1). (b) A path model depicting an unmeasured construct with a single indicator. The latent variable (LV1) acts as an independent variable that predicts the dependent variable.

A. (1996). LISREL Issues, Debates, and Strategies. Baltimore, MD: Johns Hopkins University Press. Hoyle, R. H. ) (1995). Structural Equation Modeling: Concepts, Issues, and Applications. Thousand Oaks, CA: Sage. Hu, L. & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55. J¨oreskog, K. G. & S¨orbom, D. (1996). LISREL 8: User’s Reference Guide. Chicago: Scientific Software International.

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Energy Myths and Realities: Bringing Science to the Energy Policy Debate by Vaclav Smil

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