IngentaConnect High-Resolution Modeling of Energy-Services Supply Systems Using ...

Authors: Bruckner T.¹; Morrison R.²; Handley C.³; Patterson M.⁴

Source: Annals of Operations Research, Volume 121, Numbers 1-4, July 2003 , pp. 151-180(30)

Publisher: Springer

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.

Keywords: national policy support; local energy planning; network optimization; exergy analysis; heat transport and thermal storage; climate protection

Language: English

Document Type: Research article

Affiliations: 1: Institute for Energy Engineering, Technische Universität Berlin, Marchstraße 18, D-10587 Berlin, Germany bruckner@iet.tu-berlin.de 2: Institute for Energy Engineering, Technische Universität Berlin, Marchstraße 18, D-10587 Berlin, Germany morrison@iet.tu-berlin.de 3: Computer Science Department, University of Otago, PO Box 56, Dunedin, New Zealand chandley@cs.otago.ac.nz 4: School of Resource and Environmental Planning, Massey University, Private Bag 11-222, Palmerston North, New Zealand m.g.patterson@massey.ac.nz

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