Accessibility navigation


Exploring smart grid possibilities: a complex systems modelling approach

Rylatt, R. M., Snape, J. R., Allen, P., Ardestani, B. M., Boait, P., Boggasch, E., Fan, D., Fletcher, G., Gammon, R., Lemon, M., Pakka, V., Rynikiewicz, C., Savill, M., Smith, S., Strathern, M. and Varga, L. (2016) Exploring smart grid possibilities: a complex systems modelling approach. Smart Grid, 1 (1). pp. 1-15. ISSN 2299-1107

[img]
Preview
Text (Open Access) - Published Version
· Available under License Creative Commons Attribution Non-commercial No Derivatives.
· Please see our End User Agreement before downloading.

1MB

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1515/sgrid-2015-0001

Abstract/Summary

Smart grid research has tended to be compartmentalised, with notable contributions from economics, electrical engineering and science and technology studies. However, there is an acknowledged and growing need for an integrated systems approach to the evaluation of smart grid initiatives. The capacity to simulate and explore smart grid possibilities on various scales is key to such an integrated approach but existing models – even if multidisciplinary – tend to have a limited focus. This paper describes an innovative and flexible framework that has been developed to facilitate the simulation of various smart grid scenarios and the interconnected social, technical and economic networks from a complex systems perspective. The architecture is described and related to realised examples of its use, both to model the electricity system as it is today and to model futures that have been envisioned in the literature. Potential future applications of the framework are explored, along with its utility as an analytic and decision support tool for smart grid stakeholders.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science > School of the Built Environment > Construction Management and Engineering > Innovative and Sustainable Technologies
ID Code:58576
Publisher:De Gruyter

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation