Rural electrification: An overview of optimization methods

buir.contributor.authorKocaman, Ayşe Selin
buir.contributor.orcidKocaman, Ayşe Selin|0000-0001-8345-5999
dc.citation.epage111935- 21en_US
dc.citation.spage111935- 1en_US
dc.citation.volumeNumber156en_US
dc.contributor.authorAkbas, B.
dc.contributor.authorKocaman, Ayşe Selin
dc.contributor.authorTrotter, P. A.
dc.contributor.authorNock, D.
dc.date.accessioned2023-02-15T13:11:47Z
dc.date.available2023-02-15T13:11:47Z
dc.date.issued2021-12-23
dc.departmentDepartment of Industrial Engineeringen_US
dc.description.abstractIn order to provide “affordable, reliable, sustainable and modern energy for all” by 2030 under Sustainable Development Goal 7 (SDG7), rural electrification needs significant progress as the majority of people without access to electricity reside in rural areas. Optimization methods can play a critical role in this progress, providing an analytical framework to achieve a variety of economic, social, and environmental objectives subject to budget, resources, local demographics and other constraints. This review paper presents the first overview of optimization-based solution methodologies developed or applied for rural electrification. Based on our review, we first propose four archetype problems for rural electrification, namely (i) optimal system configuration and unit sizing, (ii) optimal power dispatch strategy, (iii) optimal technology choice, and (iv) optimal network design. We discuss each problem type, and provide a systematic classification based on the problem objective, proposed solution methodology, components, scale, region as well as their relationship to the different SDG7 components. We reveal research gaps and open questions for future studies for energy researchers and aim to draw the attention of the optimization community to the challenging and unique problems that need urgent attention in this critical area.en_US
dc.description.provenanceSubmitted by Ezgi Uğurlu (ezgi.ugurlu@bilkent.edu.tr) on 2023-02-15T13:11:47Z No. of bitstreams: 1 Rural_electrification_An_overview_of_optimization_methods.pdf: 2570706 bytes, checksum: 98df455a2468dcb988318bd24973ede4 (MD5)en
dc.description.provenanceMade available in DSpace on 2023-02-15T13:11:47Z (GMT). No. of bitstreams: 1 Rural_electrification_An_overview_of_optimization_methods.pdf: 2570706 bytes, checksum: 98df455a2468dcb988318bd24973ede4 (MD5) Previous issue date: 2021-12-23en
dc.embargo.release2023-12-23
dc.identifier.doi10.1016/j.rser.2021.111935en_US
dc.identifier.eissn1879-0690
dc.identifier.issn1364-0321
dc.identifier.urihttp://hdl.handle.net/11693/111368
dc.language.isoEnglishen_US
dc.publisherElsevier Ltden_US
dc.relation.isversionofhttps://doi.org/10.1016/j.rser.2021.111935en_US
dc.source.titleRenewable and Sustainable Energy Reviewsen_US
dc.subjectOptimizationen_US
dc.subjectRural electrificationen_US
dc.subjectSDGen_US
dc.subjectMathematical modelingen_US
dc.subjectHeuristicen_US
dc.subjectMetaheuristicen_US
dc.titleRural electrification: An overview of optimization methodsen_US
dc.typeArticleen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Rural_electrification_An_overview_of_optimization_methods.pdf
Size:
2.45 MB
Format:
Adobe Portable Document Format
Description:

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.69 KB
Format:
Item-specific license agreed upon to submission
Description: