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High-Resolution Modeling of Energy-Services Supply Systems Using deeco: Overview and Application to Policy Development

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Abstract

Contemporary energy policy problems typically involve issues of (1) technology selection, placement, and scheduling, (2) energy-services demand modification by location and time-of-use, and/or (3) new sourcing options including emerging renewables. The high-resolution energy systems modeling environment deeco (dynamic energy, emissions, and cost optimization) naturally captures interactions between these components. deeco can assist with the search for policy sets which reduce CO2 and/or displace depletable resource use and which take advantage of cost-effective system integration synergies. The network management objective may be treated as an exogenous variable and process performance can depend on the thermodynamic intensive state of the system. Numerical studies indicate that multiple policy interventions cannot be assumed to be independent and that staging can be significant.

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Authors and Affiliations

  1. Institute for Energy Engineering, Technische Universität Berlin, Marchstraße 18, D-10587, Berlin, Germany

    Thomas Bruckner & Robbie Morrison

  2. Computer Science Department, University of Otago, PO Box 56, Dunedin, New Zealand

    Chris Handley

  3. School of Resource and Environmental Planning, Massey University, Private Bag 11-222, Palmerston North, New Zealand

    Murray Patterson

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  1. Thomas Bruckner
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  2. Robbie Morrison
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  4. Murray Patterson
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Correspondence to Robbie Morrison.

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Bruckner, T., Morrison, R., Handley, C. et al. High-Resolution Modeling of Energy-Services Supply Systems Using deeco: Overview and Application to Policy Development. Annals of Operations Research 121, 151–180 (2003). https://doi.org/10.1023/A:1023359303704

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