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Energy Strategy Reviews
Article . 2018 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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STREAM–an energy scenario modelling tool

Authors: Rasmus Bramstoft; Amalia Pizarro Alonso; Kenneth Karlsson; Anders Kofoed-Wiuff; Marie Münster;

STREAM–an energy scenario modelling tool

Abstract

Abstract Energy system models are powerful tools used to develop decarbonisation pathways and to assess the green energy transition. This paper presents the open source energy scenario tool STREAM, by describing the modelling approach, applications, strengths, limitations, and potential future developments. STREAM is a dialogue tool, which is used by a broad audience to conduct quick analyses and to explore plausible scenarios for future integrated energy systems, covering all sectors. STREAM is a relatively simple spreadsheet, which ensures transparency, allows stakeholder involvement, and is suitable for scenario discussions and developments. Moreover, STREAM can be soft-linked with more sophisticated energy tools. STREAM contributes to the integrated energy systems modelling field by providing a fast transparent open source modelling tool, which simulates the entire energy system with detailed chronological temporal resolution, in order to provide insights related to future energy trends. Results from the STREAM model are used by researchers, stakeholders, and policy makers in developing scenarios for analysing strategic decisions regarding the desired development of future energy systems.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
20
Top 10%
Top 10%
Top 10%
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