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Power system modeling tools for sustainable development: a review

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PAC_189_REVIEW_PAPER_CAMERA_READY_local-1.pdf (1,828Mb)
 
10.1109/PowerAfrica61624.2024.10759502
 
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hdl:2117/427334

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Chitandula, Albert
Abuzayed, Anas
Mulolani, Francis
Nyoni, Kumbuso Joshua
Ndiaye, Musa
Solà Vilalta, AlbertMés informacióMés informació
Document typeConference lecture
Defense date2024
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
Abstract
The 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.
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© 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.
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 . 
URIhttp://hdl.handle.net/2117/427334
DOI10.1109/PowerAfrica61624.2024.10759502
ISBN979-8-3503-8938-8
Publisher versionhttps://ieeexplore.ieee.org/document/10759502
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  • GNOM - Grup d'Optimització Numèrica i Modelització - Ponències/Comunicacions de congressos [49]
  • Departament d'Estadística i Investigació Operativa - Ponències/Comunicacions de congressos [262]
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