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Agent-based evolutionary method of simulation the CO2 emission permits market

Autorzy
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This article describes the problem of simulation of the CO2 emission permits market. First, it introduces a CO2 permission market model with transactions and purchase prices, in particular with a separate goal function for each party, transactions with price negotiations between regions and - as a consequence of introducing prices for permits – the possibility of investigating the influence of purchase/sale prices on the market. The behavior of such market model is simulated using a method, which is based on a specialized evolutionary method but introduces independent agents with their own transaction preferences.
Rocznik
Strony
251--265
Opis fizyczny
Bibliogr. 16 poz.
Twórcy
autor
  • Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
Bibliografia
  • [1] Alkemade F., La Poutre H., Amman H. M. Robust Evolutionary Algorithm Design for Socio-economic Simulation, Computational Economics 28, 2006, pp. 355-470.
  • [2] Bartoszczuk P., Horabik J. Tradable Permit Systems: Considering Uncertainty in Emission Estimates, Water Air Soil Pollution: Focus (2007) 7, Springer Verlag, 2007, pp 573-579.
  • [3] Bonatti M., Ermoliev Y., Gaivoronski A. Modeling of multi-agent market systems in the presence of uncertainty: The case of information economy, Robotics and Autonomous Systems, Vol. 24, Issue 3-4, 1998, pp. 93-113.
  • [4] Cichosz P. Systemy uczące się (Learning systems; in Polish), WNT, Warszawa, 2000.
  • [5] Clemens C., Riechmann T. Evolutionary Dynamics in Public Good Games, Computational Economics, 28, 2006, pp. 399-420.
  • [6] Ermoliev Y., Klaassen G., Nentjes A. Adaptive cost-effective ambient charges under incomplete information, Journal of Environmental Economics and Management, 31, 1996, pp. 37-48.
  • [7] Ermoliev Y., Michalevich M., Nentjes A. Markets for Tradable Emission and Ambient Permits: A dynamic approach, Environmental and Resource Economics, 15, 2000, pp. 39-56.
  • [8] Godal O. Simulating the Carbon Permit Market with Imperfect Observations of Emissions: Approaching Equilibrium through Sequential Bilateral Trade, InterimReport IR-00-060, IIASA, Laxenburg, Austria, 2000.
  • [9] Horabik J. On the costs of reducing GHG emissions and its underlying uncertainties in the context of carbon trading, Raport Badawczy RB/34/2005, IBS PAN, 2005.
  • [10] Klaasen G., Nentjes A., Smith M. Testing the dynamic theory of emissions trading: Experimental evidence for global carbon trading, Interim Report IR-01-063, IIASA, Laxenburg, Austria, 2001.
  • [11] Klaasen G., Matrosov I., Roehrl A., Tarasyev A. A Game-Dynamic Model of Gas Transportation Routes and Its Application to the Turkish Gas Market, Interim ReportIR-03-018, IIASA, Laxenburg, Austria, 2003.
  • [12] Mutlu F., Fescioglu-Unver N. Agent Based Simulation of Carbon Emissions Trading Market, Proceedings of PICMET '11 (Technology Management in the Energy SmartWorld), 2011, pp. 1-10.
  • [13] Nahorski Z., Horabik J., Jonas M. Compliance and emissions trading under the Kyoto protocol; Rules for Uncertain Inventories, Water, Air, & Soil Pollution: Focus, Vol. 7, Numbers 4-5, Springer Verlag, 2007, pp. 539-558.
  • [14] Stańczak J. Evolutionary algorithm for market simulations, Evolutionary Computationand Global Optimization 2009, Prace Naukowe PW, Elektronika, z. 169, Warszawa, 2009, pp. 163-172.
  • [15] Stańczak J. Application of an evolutionary algorithm to simulation of the CO2 emission permits market with purchase prices, Badania operacyjne i decyzje, 4, 2009, pp. 93-108.
  • [16] Stańczak J., Bartoszczuk P. CO2 emission trading model with trading prices, ClimaticChange, 103 (1-2), 2010, pp. 291-301.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6731f1f2-42fe-4a4f-ad58-0d567ee803db
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