Operational planning in district combined heat and power systems by mixed-integer nonlinear programming models
by Hariharan Gopalakrishnan; Dragoljub Kosanovic
International Journal of Power and Energy Conversion (IJPEC), Vol. 6, No. 1, 2015

Abstract: A mixed-integer nonlinear programming (MINLP) model is presented for operational planning problems arising in district combined heat and power (CHP) systems. Annual operations data from a district CHP system having a total electric capacity of 16 MW and heat capacity of 182 MW is used for the analysis. Two important features of fossil-fuel equipment incorporated in the model are the nonlinear change in efficiency of boilers with operating load and the nonlinear change in nominal output and efficiency of gas turbines with ambient temperature and operating load. The resulting nonlinear model is solved in MATLAB using the TOMLAB/MINLP solver. The research results show that the proposed methodology can produce meaningful reductions in system running costs and is viable to implement in real-life scenarios.

Online publication date: Fri, 03-Apr-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Power and Energy Conversion (IJPEC):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com