SRI - Center for Uncertainty Quantification
in Computational Science & Engineering
Home
About
People
Faculty
Visiting Professors
Consultants
Research Scientists
Postdoctoral Fellows
Students
Visiting Students
Staff
Member of the Board
Previous Members
Research
Research Projects
Posters
Publications
Books
Book Chapters
Conference Proceedings
Manuscripts
Refereed Journals
Technical Reports
Events
Calendar
Gallery
KAUST UQ School 2016
Zavala's Seminar and Short Course
Grossmann’s Seminars and Short Course
UQ Annual Workshop 2016
UQ Annual Workshop 2015
Spatial Statistics Workshop 2014
UQ Annual Workshop 2014
UQ Annual Workshop 2013
News
Courses
Spring 2016
Summer 2015
Fall 2015
Seminars
Join Us
Links
Home
>
Publications
>
Refereed Journals
>
Integrated sizing and scheduling of Wind/PV/Diesel/Battery isolated systems
Publications
Integrated sizing and scheduling of Wind/PV/Diesel/Battery isolated systems
Bibliography:
Bibliography
A. Malheiro, P. Castro, R. Lima, A. Estanqueiro,(2015).
Integrated sizing and scheduling of Wind/PV/Diesel/Battery isolated systems
, Renewable Energy, 83, 646-657. [doi: 10.1016/j.renene.2015.04.066]
Authors:
A. Malheiro, P. Castro, R. Lima, A. Estanqueiro
Keywords:
LCOE; Isolated hybrid systems; Sizing optimization; Renewable energies;
Year:
2015
Abstract:
In this paper we address the optimal sizing and scheduling of isolated hybrid systems using an optimization framework. The hybrid system features wind and photovoltaic conversion systems, batteries and diesel backup generators to supply electricity demand. A Mixed-Integer Linear Programming formulation is used to model system behavior over a time horizon of one year, considering hourly changes in both the availability of renewable resources and energy demand. The optimal solution is achieved with respect to the minimization of the levelized cost of energy (LCOE) over a lifetime of 20 years. Results for a case study show that the most economical solution features all four postulated subsystems.
ISSN:
2015
No
Site Map
|
Privacy Policy
|
Terms of Use
|
Team Site
©
2021
King Abdullah University of Science and Technology,
All rights reserved.
SRI - Center for Uncertainty Quantification
in Computational Science & Engineering
http://
http://