An optimisation strategy using probabilistic and heuristic input data for fuel feeding boilers with regard to the trading effects of CO2 allowances

Joachim Kozioł and Joanna Czubala

Energy, 2013, vol. 62, issue C, 82-87

Abstract: This paper presents an optimisation method for a strategy for fuel feeding in combined heat and power plant boilers with regard to the trading effects of CO2 allowances. A detailed analysis has been conducted on an exemplary (combined heat and power plant) CHP that is equipped with OPG-230 multifuel steam boilers adapted for metallurgical fuel gases. The CHP cooperates with a steelworks nearby. A special feature of the CHP activity is the consumption of large quantities of gases that are generated as byproducts in the production of pig iron (blast-furnace gas), steel (converter gas in the steelworks) and coke (coke-oven gas at the nearby coke ovens). These gases are co-incinerated with coal at the CHP. In the optimisation performed, the input data had a heuristic, probabilistic nature, and constant (averaged) data have been used.

Keywords: CO2 emission; Heuristic and probabilistic data; Optimisation criteria (search for similar items in EconPapers)
Date: 2013
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544213002764
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:62:y:2013:i:c:p:82-87

DOI: 10.1016/j.energy.2013.03.079

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 ().