TY  - JOUR
  - Deane, J.P.; Chiodi, A.; Gargiulo, M.; Ó Gallachóir, B.P.
  - 2012
  - June
  - Energy
  - Soft-linking of a power systems model to and energy systems model.
  - Published
  - Altmetric: 1 ()
  - 42
  - 1
  - 303
  - 312
  - In this paper we present a soft-linking methodology that employs detailed simulation outputs from a dedicated power systems model to gain insights and understanding of the generation electricity plant portfolio results for the electricity sector from a separate energy systems model. We apply the methodology and present and discuss the results. The motivation for this soft-linking is to provide a transfer of information from the power systems model strong points to the energy systems model and use this information to improve and develop understanding of energy systems model results. Part of this motivation is derived from a view that one specific energy modeling tool cannot address all aspects of the full energy system in great detail and greater insights and progress can be gained by drawing on the strengths of multiple modeling tools rather than trying to incorporate them all into one comprehensive model. The methodology takes an optimized generation portfolio for a specific year from an energy systems model and undertakes a detailed high resolution chronological simulation of the same portfolio in the power systems model with added degrees of technical detail. Results presented here show that in the absence of key technical constraints, an energy systems model can potentially undervalue flexible resources, underestimate wind curtailment and overestimate the use of baseload plant.
  - doi:10.1016/j.energy.2012.03.052
DA  - 2012/06
ER  - 

@article{V152263281,
   = {Deane, J.P. and  Chiodi, A. and  Gargiulo, M. and  Ó Gallachóir, B.P.},
   = {2012},
   = {June},
   = {Energy},
   = {Soft-linking of a power systems model to and energy systems model.},
   = {Published},
   = {Altmetric: 1 ()},
   = {42},
   = {1},
  pages = {303--312},
   = {{In this paper we present a soft-linking methodology that employs detailed simulation outputs from a dedicated power systems model to gain insights and understanding of the generation electricity plant portfolio results for the electricity sector from a separate energy systems model. We apply the methodology and present and discuss the results. The motivation for this soft-linking is to provide a transfer of information from the power systems model strong points to the energy systems model and use this information to improve and develop understanding of energy systems model results. Part of this motivation is derived from a view that one specific energy modeling tool cannot address all aspects of the full energy system in great detail and greater insights and progress can be gained by drawing on the strengths of multiple modeling tools rather than trying to incorporate them all into one comprehensive model. The methodology takes an optimized generation portfolio for a specific year from an energy systems model and undertakes a detailed high resolution chronological simulation of the same portfolio in the power systems model with added degrees of technical detail. Results presented here show that in the absence of key technical constraints, an energy systems model can potentially undervalue flexible resources, underestimate wind curtailment and overestimate the use of baseload plant.}},
   = {doi:10.1016/j.energy.2012.03.052},
  source = {IRIS}
}