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Journal ArticleDOI

ETSAP-TIAM: the TIMES integrated assessment model Part I: Model structure

Richard Loulou, +1 more
- 01 Feb 2008 - 
- Vol. 5, Iss: 1, pp 7-40
TLDR
In this first part of a two-part article, the principal characteristics of the TIMES model and of its global incarnation as ETSAP-TIAM are presented and discussed.
Abstract
In this first part of a two-part article, the principal characteristics of the TIMES model and of its global incarnation as ETSAP-TIAM are presented and discussed. TIMES was conceived as a descendent of the MARKAL and EFOM paradigms, to which several new features were added to extend its functionalities and its applicability to the exploration of energy systems and the analysis of energy and environmental policies. The article stresses the technological nature of the model and its economic foundation and properties. The article stays at the conceptual and practical level, while a companion article is devoted to the more detailed formulation of TIMES equations. Special sections are devoted to the description of four optional features of TIMES: lumpy investments, endogenous technology learning, stochastic programming, and the climate module. The article ends with a brief description of recent applications of the ETSAP-TIAM model.

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Citations
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Hydrogen and fuel cell technologies for heating: A review

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A review of modelling tools for energy and electricity systems with large shares of variable renewables

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The role of hydrogen in low carbon energy futures–A review of existing perspectives

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References
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Journal ArticleDOI

Combinatorial optimization: algorithms and complexity

TL;DR: This clearly written, mathematically rigorous text includes a novel algorithmic exposition of the simplex method and also discusses the Soviet ellipsoid algorithm for linear programming; efficient algorithms for network flow, matching, spanning trees, and matroids; the theory of NP-complete problems; approximation algorithms, local search heuristics for NPcomplete problems, more.
Book

Linear Programming and Extensions

TL;DR: This classic book looks at a wealth of examples and develops linear programming methods for their solutions and begins by introducing the basic theory of linear inequalities and describes the powerful simplex method used to solve them.
Book

Linear programming and extensions

TL;DR: Formulation skills for problems as a deterministic linear mathematical model, application of software to solve the problems and extensive sensitivity analysis to answer “what if” questions.
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