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MDESRAP: a model for understanding the dynamics of electricity supply, resources and pollution

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  • Hassan Qudrat-Ullah

Abstract

The inherent dynamic complexity of the energy policy design problem makes the conventional "closed-form" solution impossible. This paper contributes a dynamic simulation model as a possible solution. The model captures the dynamics of underlying sectors of electricity demand, investment, capital, resource, production, environment and costs and pricing. The existing feedback loops, nonlinearity and time-lag characteristics present in the real world electricity systems are incorporated in the model. The model is calibrated to Pakistan's case data. How the model has been used in policy assessments and the design of the alternative energy policies subject to various environmental and resource constraints is also discussed.

Suggested Citation

  • Hassan Qudrat-Ullah, 2005. "MDESRAP: a model for understanding the dynamics of electricity supply, resources and pollution," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 23(1), pages 1-14.
    • Handle: RePEc:ids:ijgeni:v:23:y:2005:i:1:p:1-14
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    Citations

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    Cited by:

    1. Shahmohammadi, M. Sadegh & Mohd. Yusuff, Rosnah & Keyhanian, Sina & Shakouri G., Hamed, 2015. "A decision support system for evaluating effects of Feed-in Tariff mechanism: Dynamic modeling of Malaysia’s electricity generation mix," Applied Energy, Elsevier, vol. 146(C), pages 217-229.
    2. Feng, Y.Y. & Chen, S.Q. & Zhang, L.X., 2013. "System dynamics modeling for urban energy consumption and CO2 emissions: A case study of Beijing, China," Ecological Modelling, Elsevier, vol. 252(C), pages 44-52.
    3. Abas, N. & Kalair, A. & Khan, N. & Kalair, A.R., 2017. "Review of GHG emissions in Pakistan compared to SAARC countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 990-1016.
    4. Qudrat-Ullah, Hassan, 2014. "Green power in Ontario: A dynamic model-based analysis," Energy, Elsevier, vol. 77(C), pages 859-870.
    5. Chen, Yang & Cheng, Liang & Lee, Chien-Chiang, 2022. "How does the use of industrial robots affect the ecological footprint? International evidence," Ecological Economics, Elsevier, vol. 198(C).
    6. Liu, Xue & Ma, Shoufeng & Tian, Junfang & Jia, Ning & Li, Geng, 2015. "A system dynamics approach to scenario analysis for urban passenger transport energy consumption and CO2 emissions: A case study of Beijing," Energy Policy, Elsevier, vol. 85(C), pages 253-270.
    7. Qudrat-Ullah, Hassan, 2017. "How to enhance the future use of energy policy simulation models through ex post validation," Energy, Elsevier, vol. 120(C), pages 58-66.
    8. Qudrat-Ullah, Hassan & Seong, Baek Seo, 2010. "How to do structural validity of a system dynamics type simulation model: The case of an energy policy model," Energy Policy, Elsevier, vol. 38(5), pages 2216-2224, May.
    9. Qudrat-Ullah, Hassan, 2022. "A review and analysis of renewable energy policies and CO2 emissions of Pakistan," Energy, Elsevier, vol. 238(PB).
    10. Tang, Ou & Rehme, Jakob, 2017. "An investigation of renewable certificates policy in Swedish electricity industry using an integrated system dynamics model," International Journal of Production Economics, Elsevier, vol. 194(C), pages 200-213.
    11. Teufel, Felix & Miller, Michael & Genoese, Massimo & Fichtner, Wolf, 2013. "Review of System Dynamics models for electricity market simulations," Working Paper Series in Production and Energy 2, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    12. Qudrat-Ullah, Hassan, 2015. "Independent power (or pollution) producers? Electricity reforms and IPPs in Pakistan," Energy, Elsevier, vol. 83(C), pages 240-251.

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