Impact of cogeneration on integrated resource planning of Turkey
U. Atikol and
H. Güven
Energy, 2003, vol. 28, issue 12, 1259-1277
Abstract:
In most developing countries, difficulties in finding sector-specific data on heat rate and power demands make energy planning a hard task. In some countries, although this data is available, it may be four or five years old. In the present work, a new low-cost method is proposed for developing countries aiming at obtaining such data for the industrial sector quickly. Fifty-two textile factories were selected for a survey to represent the industrial sector. The data were processed and used to generate two scenarios of cogeneration applications in the industrial sector; one sized according to the electrical load of the factories, and the other one according to the thermal load. The costs and primary energy requirements of these programs were compared with that of the nuclear alternative. It was found that the most energy efficient and economical option for Turkey was the cogeneration program, the equipment sizing of which was based on the process heat demand of the industrial sector. Turkey would not only save US$ 72.6-billion by deferring the nuclear program, but it will also reduce the total primary energy demand by 11% in 2020.
Date: 2003
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544203001178
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:28:y:2003:i:12:p:1259-1277
DOI: 10.1016/S0360-5442(03)00117-8
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().