Power system modeling tools for sustainable development: a review

dc.contributor.authorChitandula, Albert
dc.contributor.authorAbuzayed, Anas
dc.contributor.authorMulolani, Francis
dc.contributor.authorNyoni, Kumbuso Joshua
dc.contributor.authorNdiaye, Musa
dc.contributor.authorSolà Vilalta, Albert
dc.contributor.groupUniversitat Politècnica de Catalunya. GNOM - Grup d'Optimització Numèrica i Modelització
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.date.accessioned2025-04-01T07:05:11Z
dc.date.available2025-04-01T07:05:11Z
dc.date.issued2024
dc.description© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.description.abstractThe green growth paradigm aims to harmonize economic growth with environmental sustainability. Electricity is essential for economic development, and if its associated carbon emissions are sufficiently low, it is a key enabler of green growth and sustainable development. Zambia, a developing country, had only 32.5% of households with access to electricity in 2022. This paper provides a comprehensive overview of power system modeling tools applicable in Zambia and evaluates the ongoing and completed power system modeling initiatives in the Zambian energy space. The study discusses the key features, applicability, and relevance of various modeling tools, including PyPSA-Earth, OSeMOSYS, MAED, MESSAGE, and WASP. Findings indicate that while many tools are available, the selection and adaptation of these tools are crucial for addressing the specific challenges in Zambia's power system. This paper aims to support the strategic planning necessary to achieve a sustainable low-carbon energy transition in Zambia.
dc.description.sdgObjectius de Desenvolupament Sostenible::7 - Energia Assequible i No Contaminant
dc.description.versionPostprint (author's final draft)
dc.format.extent5 p.
dc.identifier.citationChitandula, A. [et al.]. Power system modeling tools for sustainable development: a review. A: IEEE PES/IAS PowerAfrica Conference. "2024 IEEE PES/IAS PowerAfrica: 7-11 Oct. 2024: conference location: Johannesburg, South Africa". Institute of Electrical and Electronics Engineers (IEEE), 2024, p. 1-5. ISBN 979-8-3503-8938-8. DOI 10.1109/PowerAfrica61624.2024.10759502 .
dc.identifier.doi10.1109/PowerAfrica61624.2024.10759502
dc.identifier.isbn979-8-3503-8938-8
dc.identifier.urihttps://hdl.handle.net/2117/427334
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/10759502
dc.rights.accessOpen Access
dc.subjectÀrees temàtiques de la UPC::Enginyeria elèctrica::Electrificació::Electrificació rural
dc.subject.otherSustainable development
dc.subject.otherLow-carbon energy
dc.subject.otherPower system modeling
dc.subject.otherZambia
dc.subject.otherEnergy transition
dc.titlePower system modeling tools for sustainable development: a review
dc.typeConference lecture
dspace.entity.typePublication
local.citation.authorChitandula, A.; Abuzayed, A.; Mulolani, F.; Nyoni, K.; Ndiaye, M.; Albert Solà Vilalta
local.citation.contributorIEEE PES/IAS PowerAfrica Conference
local.citation.endingPage5
local.citation.publicationName2024 IEEE PES/IAS PowerAfrica: 7-11 Oct. 2024: conference location: Johannesburg, South Africa
local.citation.startingPage1
local.identifier.drac40461766

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