The User’s Guide for MARKAL (BNL/KFA Version 2.0) provides a user-oriented technical description of a computer model developed for use in a multi-national energy systems-analysis study conducted jointly at Brookhaven National Laboratory (BNL) and Kernforschungsanlage Juelich (KFA). MARKAL is a flexible, multi-period, linear-programming (LP) model of a generalized energy system. It is capable of representing a wide variety of configurations of national and regional energy systems and is particularly suited for comparison studies of various options under a variety of constraints and policy assumptions. The syntax, notation, formulation and input data requirements are described in detail in this guide. Programming methods and the computer software are only described briefly. This guide should enable the prospective MARKAL user to organize and prepare his input data for case studies. 11 refs., 16 figs.

References in zbMATH (referenced in 16 articles )

Showing results 1 to 16 of 16.
Sorted by year (citations)

  1. Edelev, Alexey; Sidorov, Ivan: Combinatorial modeling approach to find rational ways of energy development with regard to energy security requirements (2017)
  2. Hach, Daniel; Chyong, Chi Kong; Spinler, Stefan: Capacity market design options: a dynamic capacity investment model and a GB case study (2016)
  3. Ritzenhofen, Ingmar; Birge, John R.; Spinler, Stefan: The structural impact of renewable portfolio standards and feed-in tariffs on electricity markets (2016)
  4. Kanala, Roman; Fragnière, Emmanuel: Mixing behavioral and technological data in mathematical programming framework (2014)
  5. Ehrenmann, Andreas; Smeers, Yves: Risk adjusted discounted cash flows in capacity expansion models (2013)
  6. Weber, Klaus; Martinsen, Dag: From system cost minimization to sustainability maximization -- a new fuzzy program approach to energy systems analysis (2013)
  7. Haurie, Alain (ed.): Editorial (2008)
  8. Loulou, Richard; Labriet, Maryse: ETSAP-TIAM: The TIMES integrated assessment model. I: Model structure (2008)
  9. Wittmann, Tobias; Bruckner, Thomas: Agentenbasierte modellierung urbaner energiesysteme (2007) ioport
  10. Barreto, Leonardo; Kypreos, Socrates: Emissions trading and technology deployment in an energy-systems “bottom-up” model with technology learning (2004)
  11. Kainuma, Mikiko; Matsuoka, Yuzuru; Morita, Tsuneyuki: The AIM/end-use model and its application to forecast Japanese carbon dioxide emissions (2000)
  12. Büeler, Benno: Solving an equilibrium model for trade of $\textCO_2$ emission permits (1997)
  13. Cooper, W.W.; Hemphill, H.; Huang, Z.; Li, S.; Lelas, V.; Sullivan, D.W.: Survey of mathematical programming models in air pollution management (1997)
  14. Rentz, O.; Haasis, H.-D.; Oder, C.: Methodical support for elaborating emission reduction strategies (1995)
  15. Oder, Carsten; Rentz, Otto: Development of an energy-emission model using fuzzy sets (1994)
  16. Haurie, Alain; Breton, Michèle: Market equilibrium in a multistage commodity network (1985)