A Dynamic Model of the US Energy System A Tool For Energy R & D Planning Routledge Library Editions: Energy Economics Series
Auteur : Weyant John P.
Originally published in 1984, this book develops a quantitative model designed for use in the evaluation of the relative merits of alternative energy R&D programmes. It is used to compare the merits of major energy-technology R&D programmes during the 1970s in the USA: Liquid-metal fast breeder reactors, synthetic fuels derived from coal and oil shale and improved efficiency in end-use technologies. The benefits/disadvantages are analyzed in terms of economics, security and the environment. Although published some years ago, the economic benefit assessed is in terms of the impact that commercialization of a particular energy-technology would have on the total 60 year cost of the US energy supply system. The security benefit is measured in terms of the reduction of crude oil imports and the environmental factors are measured here by the total tonnage of coal and oil shale that is extracted each year. All of these issues continue to be relevant today.
1. Introduction 2. Summary of the Example Application 3. Description of the Model Concept 4. Results from the Example Application of the Model 5. R&D Policy Interpretations of the Results 6. Other Potential Model Applications
Date de parution : 10-2019
15.6x23.4 cm
Date de parution : 09-2017
15.6x23.4 cm
Thèmes d’A Dynamic Model of the US Energy System :
Mots-clés :
Liquid Metal Fast Breeder Reactors; Natural gas; energy supply trends; Soviet gas; United States gas regulation; Energy System; Synfuels Program; Liquid Metal Fast Breeder Reactor Program; Energy Conversion Facilities; Environmental Disbenefit; Marginal Benefit Cost Ratio; Marginal Economic Benefit; Base Case Scenario; Energy Conversion; Oil Shale; Efficiency Technologies; ERDA; Energy Resource; Liquid Fuels Consumption; United States Energy; Energy System Network; World Energy System; Energy Conversion Process; Synfuels Technologies; Availability Case; Energy Conservation; West Germany; Linear Programming Formulation; Capital Cost Differentials