Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
Universitat Politècnica de Catalunya. GNOM - Grup d'Optimització Numèrica i Modelització
2024
© 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.
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.
Objectius de Desenvolupament Sostenible::7 - Energia Assequible i No Contaminant
Postprint (author's final draft)
Conference lecture
English
Àrees temàtiques de la UPC::Enginyeria elèctrica::Electrificació::Electrificació rural; Sustainable development; Low-carbon energy; Power system modeling; Zambia; Energy transition
Institute of Electrical and Electronics Engineers (IEEE)
https://ieeexplore.ieee.org/document/10759502
Open Access
E-prints [72986]