A Model for Forecasting Energy Demand and Greenhouse Gas Emissions in Ireland
John Fitzgerald (),
Jonathan Hore and
No WP146, Papers from Economic and Social Research Institute (ESRI)
This paper briefly outlines the methodology used to develop a new model of energy demand. It contains a description of the model equations used to determine the sectoral demand for energy. It details the set of engineering relationships in the electricity generation block, while then detailing the determination of carbon dioxide (CO2) emission levels. It then outlines the links between this energy model and the main HERMES macroeconomic model. It looks at the performance of the energy model within sample, and contains some preliminary estimates of the links between energy prices and taxes and the level of carbon dioxide emissions. Appendix 1 details the notation used in the databank, while Appendix 2 lists the full set of equations included in the current version of the energy model.
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14) Track citations by RSS feed
Downloads: (external link)
http://www.esri.ie/pubs/WP0146%20A%20Model%20for%20Forecasting.pdf First version, 2002 (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found (http://www.esri.ie/pubs/WP0146%20A%20Model%20for%20Forecasting.pdf [301 Moved Permanently]--> https://www.esri.ie/pubs/WP0146%20A%20Model%20for%20Forecasting.pdf [301 Moved Permanently]--> https://www.esri.ie/system/files?file=media/file-uploads/2015-07/WP0146%20A%20Model%20for%20Forecasting.pdf)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:esr:wpaper:wp146
Access Statistics for this paper
More papers in Papers from Economic and Social Research Institute (ESRI) Contact information at EDIRC.
Bibliographic data for series maintained by Sarah Burns ().