Power System Modeling Tools for Sustainable Development: A Review

被引:0
作者
Chitandula, Albert [1 ]
Abuzayed, Anas [2 ]
Mulolani, Francis [1 ]
Nyoni, Kumbuso Joshua [3 ]
Ndiaye, Musa [1 ]
Vilalta, Albert Sola [4 ]
机构
[1] Copperbelt Univ, Dept Elect Engn, Kitwe, Zambia
[2] Offenburg Univ Appl Sci, Inst Sustainable Energy Syst, Offenburg, Germany
[3] Univ Edinburgh, Sch Geosci, Edinburgh, Midlothian, Scotland
[4] Univ Politecn Cataluna, Dept Stat & Operat Res, Barcelona, Spain
来源
2024 IEEE PES/IAS POWERAFRICA | 2024年
关键词
Sustainable Development; Low-Carbon Energy; Power System Modeling; Zambia; Energy Transition; ENERGY;
D O I
10.1109/POWERAFRICA61624.2024.10759502
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:136 / 140
页数:5
相关论文
共 28 条
[1]   Digital twin real-time hybrid simulation platform for power system stability [J].
Abo-Khalil, Ahmed G. .
CASE STUDIES IN THERMAL ENGINEERING, 2023, 49
[2]   Recent advances and challenges in optimization models for expansion planning of power systems and reliability optimization [J].
Cho, Seolhee ;
Li, Can ;
Grossmann, Ignacio E. .
COMPUTERS & CHEMICAL ENGINEERING, 2022, 165
[3]  
Climate Compatible Growth, 2022, report
[4]   Developing an Integrated Energy Demand-Supply Modeling Framework for Scenario Analysis of the Low Carbon Emission Energy System in Zambia [J].
Daka, Precious P. ;
Farzaneh, Hooman .
APPLIED SCIENCES-BASEL, 2023, 13 (06)
[5]  
Government of the Republic of Zambia, 2017, Annual economic report 2017
[6]  
Growth C. C., 2023, Transition pathways towards inclusive climate compatible growth (TRAP-ZM)
[7]   PyPSA-Eur: An open optimisation model of the European transmission system [J].
Hoersch, Jonas ;
Hofmann, Fabian ;
Schlachtberger, David ;
Brown, Tom .
ENERGY STRATEGY REVIEWS, 2018, 22 :207-215
[8]   OSeMOSYS: The Open Source Energy Modeling System An introduction to its ethos, structure and development [J].
Howells, Mark ;
Rogner, Holger ;
Strachan, Neil ;
Heaps, Charles ;
Huntington, Hillard ;
Kypreos, Socrates ;
Hughes, Alison ;
Silveira, Semida ;
DeCarolis, Joe ;
Bazillian, Morgan ;
Roehrl, Alexander .
ENERGY POLICY, 2011, 39 (10) :5850-5870
[9]   The MESSAGEix Integrated Assessment Model and the ix modeling platform (ixmp): An open framework for integrated and cross-cutting analysis of energy, climate, the environment, and sustainable development [J].
Huppmann, Daniel ;
Gidden, Matthew ;
Fricko, Oliver ;
Kolp, Peter ;
Orthofer, Clara ;
Pimmer, Michael ;
Kushin, Nikolay ;
Vinca, Adriano ;
Mastrucci, Alessio ;
Riahi, Keywan ;
Krey, Volker .
ENVIRONMENTAL MODELLING & SOFTWARE, 2019, 112 :143-156
[10]   A Solar Photovoltaic Performance and Financial Modeling Solution for Grid-Connected Homes in Zambia [J].
Imasiku, Katundu .
INTERNATIONAL JOURNAL OF PHOTOENERGY, 2021, 2021