Forecasting the United Kingdom's supplies and demands for fluid fossil-fuels
AbstractA novel, but by now, well tried and tested approach to the mathematical modelling of the extraction life-cycle of any depleting fossil-fuel resource has been developed. It is a bottom-up technique for energy planning, whereby an integrated summation of the outputs from the various producing fields in the considered region is obtained. As the present paper will show, in the absence of political interference, this means for predicting the resulting future availabilities of the mineral fuels has been validated. Even in the event of a fiscal change, the model can be adjusted to take account of the new scenario. The evolved [`]skewed-normal profile for the rate-of-extraction' supply model (i) yields a better representation than has been achieved with earlier approaches and (ii) is appropriate for use with rate-of-extraction data, that rise with time to a plateau, and then decline more slowly, but is unsatisfactory for use when the profile exhibits more than a single rate-of-extraction peak. Also, in many circumstances, the profile is less systematic in shape, often as a result of temporary political, economic or on-stream changes. Thus, for these situations, it is proposed that a [`]skewed-normal profile extraction' supply model be used in conjunction with what is here described as the reverse-projection technique. The application of the model, without and with reverse projections for the UK crude-oil and natural-gas extraction-rates data, is demonstrated. Reasonable predictions, for both crude-oil and natural-gas rates of demand, can be achieved only for a country that is politically and economically stable. Even then, because of uncertainties and social factors, it is often difficult to formulate a wise policy concerning long-term fuel requirements. Nevertheless, it is only by understanding the implications of changing fuel-demands that a long-term strategy can be evolved for a country's economy. Thus, it is desirable to try to predict the future requirements for crude oil and natural gas, and so, as an additional tool, a [`]modified logit-function' demand model has been developed for use with the usually readily-available historic consumption data. It is based on extrapolations, using reasonable-trend assumptions, for the appropriate energy-intensity (i.e. annual fuel consumptionl/annual gross domestic product (GDP)), population and GDP/capita likely future behaviours.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Elsevier in its journal Applied Energy.
Volume (Year): 69 (2001)
Issue (Month): 3 (July)
Contact details of provider:
Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Jebaraj, S. & Iniyan, S., 2006. "A review of energy models," Renewable and Sustainable Energy Reviews, Elsevier, Elsevier, vol. 10(4), pages 281-311, August.
- Vondrácek, Jirí & Pelikán, Emil & Konár, Ondrej & Cermáková, Jana & Eben, Krystof & Malý, Marek & Brabec, Marek, 2008. "A statistical model for the estimation of natural gas consumption," Applied Energy, Elsevier, Elsevier, vol. 85(5), pages 362-370, May.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.