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Publication Detail
Spatially and Temporally Explicit
Energy System Modelling to Support
the Transition to a Low Carbon Energy
Infrastructure – Case Study for Wind
Energy in the UK
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Publication Type:Conference
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Authors:Zeyringer MT, Daly H, Fais B, Sharp E, Strachan N
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Publisher:UCL STEaPP
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Publication date:06/2015
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Place of publication:London, UK
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Pagination:205, 211
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Published proceedings:International Symposium for Next Generation Infrastructure Conference Proceedings: 30 September - 1 October 2014 International Institute of Applied Systems Analysis (IIASA),Schloss Laxenburg, Vienna, Austria
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Editors:Dolan T,Collins B
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Status:Published
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Name of conference:International Symposium for Next Generation Infrastructure Conference (ISNGI 2014)
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Conference place:International Institute of Applied Systems Analysis (IIASA), Schloss Laxenburg, Vienna, Austria
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Conference start date:30/09/2014
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Conference finish date:01/10/2014
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Keywords:Energy System Model, Dispatch Model, Optimisation, Wind Energy, Spatially Explicit, Temporally Explicit
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Publisher URL:
Abstract
Renewable energy sources and electricity demand vary with time and space and the energy system is constrained
by the location of the current infrastructure in place. The transitioning to a low carbon energy society can be
facilitated by combining long term planning of infrastructure with taking spatial and temporal characteristics of the
energy system into account. There is a lack of studies addressing this systemic view. We soft-link two models in
order to analyse long term investment decisions in generation, transmission and storage capacities and the effects
of short-term fluctuation of renewable supply: The national energy system model UKTM (UK TIMES model) and a
dispatch model. The modelling approach combines the benefits of two models: an energy system model to analyse
decarbonisation pathways and a power dispatch model that can evaluate the technical feasibility of those pathways
and the impact of intermittent renewable energy sources on the power market. Results give us the technical feasibility
of the UKTM solution from 2010 until 2050. This allows us to determine lower bounds of flexible elements and
feeding them back in an iterative process (e.g. storage, demand side control, balancing). We apply the methodology
to study the long-term investments of wind infrastructure in the United Kingdom.
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