| dc.contributor |
Arup |
|
| dc.contributor |
Goddard, Nigel |
|
| dc.creator |
Roberts, Simon |
|
| dc.creator |
Axon, Colin |
|
| dc.creator |
Foran, Barney |
|
| dc.creator |
Goddard, Nigel |
|
| dc.creator |
Warr, Benjamin |
|
| dc.date |
2016-12-01T13:37:33Z |
|
| dc.date |
2016-12-01T13:37:33Z |
|
| dc.date.accessioned |
2023-02-17T20:53:33Z |
|
| dc.date.available |
2023-02-17T20:53:33Z |
|
| dc.identifier |
Roberts, Simon; Axon, Colin; Foran, Barney; Goddard, Nigel; Warr, Benjamin. (2016). Robust Data-driven Macro-socioeconomic-energy Model, 7see-GB, 2016, 1990-2016 [dataset]. University of Edinburgh. School of Informatics. Institute for Adaptive and Neural Computation. https://doi.org/10.7488/ds/1574. |
|
| dc.identifier |
https://hdl.handle.net/10283/2210 |
|
| dc.identifier |
https://doi.org/10.7488/ds/1574 |
|
| dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/244124 |
|
| dc.description |
In a resource-constrained world with growing population and demand for energy, goods, and services with commensurate environmental impacts, we need to understand how these trends relate to various aspects of economic activity. 7see-GB is a computational model that links energy demand through to final economic consumption, and is used to explore decadal scenarios for the UK macroeconomy. This dataset includes the published model (*.vpm) from the source model 7see-GB, version 5-20(16Nov16). They show how results were created for the paper “Combining a computational macroeconomic model with trending of socio‐economic and energy relationships to generate business‐as‐usual scenarios”. The source model was developed in Vensim® (5.8b) and these published models can be viewed with the Vensim Reader, as provided with this dataset. There are instructions on how to navigate the published models and inspect variables shown in the paper. The .exe and .dmg files are free "Model Reader" executables for Windows/OSX which allow a user to run the model without buying the Vensim simulator. |
|
| dc.format |
application/zip |
|
| dc.format |
application/octet-stream |
|
| dc.format |
application/octet-stream |
|
| dc.format |
application/pdf |
|
| dc.language |
eng |
|
| dc.publisher |
University of Edinburgh. School of Informatics. Institute for Adaptive and Neural Computation |
|
| dc.rights |
Creative Commons Attribution 4.0 International Public License |
|
| dc.source |
Based on DUKES data which contains public sector information licensed under the Open Government Licence v3.0. Licence: https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ en_UK |
|
| dc.source |
Based on IEA data from IEA Online Data Services © OECD/IEA 2015, IEA Publishing; modified by Ove Arup & Partners International Ltd. Licence: http://www.iea.org/t&c/termsandconditions/ |
|
| dc.source |
Adapted from data from the Office for National Statistics licensed under the Open Government Licence v.3.0. Licence: http://www.ons.gov.uk/ons/site-information/information/creative-commons-license/index.html |
|
| dc.subject |
Energy modelling |
|
| dc.subject |
Fixed capital formation |
|
| dc.subject |
System dynamics |
|
| dc.subject |
Leontief inverse |
|
| dc.subject |
Macroeconomic modelling |
|
| dc.subject |
Carbon budget |
|
| dc.subject |
Business as usual |
|
| dc.subject |
Sustainable economics |
|
| dc.subject |
Engineering::Energy Resources |
|
| dc.title |
Robust Data-driven Macro-socioeconomic-energy Model, 7see-GB, 2016 |
|
| dc.type |
dataset |
|
| dc.coverage |
United Kingdom |
|
| dc.coverage |
UK |
|
| dc.coverage |
UNITED KINGDOM |
|
| dc.coverage |
start=1990; end=2016; scheme=W3C-DTF |
|