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Introduction of geometric, distributed lag demand into energy-process models

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  • Wu, Y.June
  • Fuller, J.David

Abstract

In this paper, we introduce the combination of an energy-process model with the geometric distributed lag demand, called the energy-GDL process model, as well as its solution technique. In an energy-GDL process model, the demand is represented by a function of the prices not only in the current time period but also in previous time periods, based on the geometric, distributed lag structure. The supply is a cost-minimizing linear process submodel. The software WATEMS-GDL (the GDL version of the Waterloo Energy Modelling System) is implemented for solving such a model. An example illustrating the procedure of modelling and equilibrium-seeking is given.

Suggested Citation

  • Wu, Y.June & Fuller, J.David, 1995. "Introduction of geometric, distributed lag demand into energy-process models," Energy, Elsevier, vol. 20(7), pages 647-656.
    • Handle: RePEc:eee:energy:v:20:y:1995:i:7:p:647-656
    DOI: 10.1016/0360-5442(95)00007-4
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    Cited by:

    1. Chung, William, 2002. "WWW-WATEMS-GDL: an internet modelling system for energy policy models," Energy, Elsevier, vol. 27(6), pages 569-577.
    2. Rehrl, Tobias & Friedrich, Rainer, 2006. "Modelling long-term oil price and extraction with a Hubbert approach: The LOPEX model," Energy Policy, Elsevier, vol. 34(15), pages 2413-2428, October.
    3. Wu, Y. June & Chung, William & Fuller, J. David, 2000. "Decomposing multi-regional dynamic energy process models," Applied Energy, Elsevier, vol. 66(3), pages 225-235, July.
    4. Chung, W. & Wu, Y. June & Fuller, J. David, 1997. "Dynamic energy and environment equilibrium model for the assessment of CO2 emission control in Canada and the USA," Energy Economics, Elsevier, vol. 19(1), pages 103-124, March.
    5. Wu, Y. June & Rosen, Marc A., 1999. "Assessing and optimizing the economic and environmental impacts of cogeneration/district energy systems using an energy equilibrium model," Applied Energy, Elsevier, vol. 62(3), pages 141-154, March.
    6. Gonzalo Romero Garcia & Dora Villada Castillo & Jhan Piero Rojas, 2022. "A Complete Prefeasibility Evaluation of On-Site Energy Generation Systems," International Journal of Energy Economics and Policy, Econjournals, vol. 12(2), pages 474-479, March.

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