Backbone: An adaptable energy systems modelling framework
Year of publication
2019
Authors
Helistö, Niina; Kiviluoma, Juha; Ikäheimo, Jussi; Rasku, Topi; Rinne, Erkka; O'Dwyer, Ciara; Li, Ran; Flynn, Damian
Abstract
Backbone represents a highly adaptable energy systems modelling framework, which can be utilised to create models for studying the design and operation of energy systems, both from investment planning and scheduling perspectives. It includes a wide range of features and constraints, such as stochastic parameters, multiple reserve products, energy storage units, controlled and uncontrolled energy transfers, and, most significantly, multiple energy sectors. The formulation is based on mixed-integer programming and takes into account unit commitment decisions for power plants and other energy conversion facilities. Both high-level large-scale systems and fully detailed smaller-scale systems can be appropriately modelled. The framework has been implemented as the open-source Backbone modelling tool using General Algebraic Modeling System (GAMS). An application of the framework is demonstrated using a power system example, and Backbone is shown to produce results comparable to a commercial tool. However, the adaptability of Backbone further enables the creation and solution of energy systems models relatively easily for many different purposes and thus it improves on the available methodologies.
Show moreOrganizations and authors
VTT Technical Research Centre of Finland Ltd
Rinne Erkka
Publication type
Publication format
Article
Parent publication type
Journal
Article type
Original article
Audience
ScientificPeer-reviewed
Peer-ReviewedMINEDU's publication type classification code
A1 Journal article (refereed), original researchPublication channel information
Open access
Open access in the publisher’s service
Yes
Open access of publication channel
Fully open publication channel
Self-archived
No
Article processing fee (EUR)
1491
Year of payment for the open publication fee
2019
Other information
Fields of science
Electronic, automation and communications engineering, electronics; Mechanical engineering; Materials engineering
Keywords
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Identified topic
[object Object]
Language
English
International co-publication
Yes
Co-publication with a company
No
DOI
10.3390/en12173388
The publication is included in the Ministry of Education and Culture’s Publication data collection
Yes