Energy modelling platforms for policy and strategy support

Journal of the Operational Research Society

Volumn 51, Issue 2, 2000, Pages 136-144

  Dyner, Isaac ^a  

^a UNIVERSIDAD NACIONAL DE COLOMBIA   (Colombia)

Author keywords

Energy modelling; Simulation; Strategy; System dynamics

Indexed keywords

COMPUTER SIMULATION; ENERGY POLICY; ENERGY UTILIZATION; INDUSTRIAL ECONOMICS; MATHEMATICAL MODELS; STRATEGIC PLANNING;

ENERGY MODELING PLATFORMS; MARKET-BASED RESOURCE ALLOCATIONS;

OPERATIONS RESEARCH;

EID: 0033882202     PISSN: 01605682     EISSN: 14769360     Source Type: Journal    
DOI: 10.1057/palgrave.jors.2600813     Document Type: Article

References (20)

1. Lee TH, Ball Jr. BC and Tabors RD (1990). Energy aftermath, how we can learn from the blunders of the past to create a hopeful energy future. Harvard Business School Press: Boston, Massachusetts.
2. Lane D and Oliva R (1994). The greater whole: towards a synthesis of System Dynamics and soft system methodology. Presented at the Systems Dynamics Conference, University of Stirling, Scotland. (City University Business School Working Paper IM/94/DCL2)
3. Naill R (1992). An SD model for national energy policy planning. System Dynamics Review 8: 1-19.
4. Ford A (1983). Using simulation for policy evaluation in the electric utility industry. Simulation 43: 85-92.
5. Ford A and Bull M (1989). Using system dynamics for conservation policy analysis in the Pacific Northwest. System Dynamics Review 5: 1-16.
6. Bunn DW and Larsen E (1992). Sensitivity of reserve margin to factors influencing investment behaviour in the electricity market of England and Wales. Energy Policy 20: 420-429.
7. Bunn DW, Larsen E and Vlahos K (1993). Complementary modelling approaches for analysing several effects of privatization on electricity investment. J Opl Res Soc 44: 957-971.
8. Bunn DW, Dyner I and Larsen E (1997). Modelling latent market power across gas and electricity markets. System Dynamics Review 13: 271-288.
9. Rego J (1989). Schedule delays and new financing for the Argentine electricity sector growth. In: Miller P and Zahn EOK (eds.), Computer-based management of complex systems. Springer-Verlag: Berlin, pp 434-441.
10. Dyner I, Smith R and Pena G (1995). System dynamics modelling for energy efficiency analysis and management. J Opl Res 46: 1163-1173.
11. Dyner I and Bunn D (1997). A simulation platform to analyse market liberalisation and integrated energy conservation policies in Colombia. In: Bunn D and Larsen E (eds). Systems modelling for energy policy. John Wiley and Sons: New York, pp 259-271.
12. Checkland P (1981). Systems thinking, systems practice, John Wiley and Sons: New York.
13. Sterman J (1994). Learning in and about complex systems. System Dynamics Review 10: 291-330.
14. Eberline R, Hines, Ho R, Melhuish J and Richardson G (1998). Modeling with Molecules (1.1). Copyright © 1996-1998 LeapTec and Ventana Systems, Inc: www.vensim.com/ moldoc.html.
15. Popper K (1957). The poverty of historicism. Routledge: London.
16. Senge P (1990). The fifth dimension-the art and practice of the learning organization. Century business: London.
17. Simon H (1955). A behavioral model of rational choice. Quarterly Journal of Economics 69: 99-118.
18. De Geus A (1988). Planning as learning. Harvard Business Review 66: 70-74.
19. EIA (1992). The National energy modelling system (NEMS). National energy information center, EI-231, Department of Energy, Washington DC.
20. UPME (1995). Integrated energy demand projections for Colombia. Ministry of Mines and Energy (UPME): Bogota, Colombia. (In Spanish.)