Conflicting objectives of energy development and water security in Africa

Pappis, Ioannis; Sridharan, Vignesh; Howells, Mark; Medarac, Hrvoje; Kougias, Ioannis; Sánchez, Garcerán; Shivakumar, Abhishek; Usher, Will

doi:10.21203/rs.3.rs-84032/v1

Cited by 67 publications

(131 citation statements)

References 17 publications

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“…A planned new electricity interconnection with Italy becomes operational in 2027 for imports and in 2031 for exports (data from STEG); in addition, the import of natural gas is capped from 2026 on, meaning that from then on any incremental need for gas is met through import of Lique ed Natural Gas (LNG). The import price of LNG is set according to Pappis et al [14].…”

Section: Methodology and Scenariosmentioning

confidence: 99%

A scenario analysis of potential long-term impacts of COVID-19 on the Tunisian electricity sector

Gardumi

Mhiri

Howells

et al. 2021

Preprint

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The COVID-19 pandemic has affected the economy of Tunisia, like that of many other countries. With electricity consumption dropping, consumption patterns changing, international fuel prices plummeting and uncertainty raging, the pandemic has affected not least the planning of investments in electricity supply. Although the government seems unlikely to revise the decarbonisation targets downwards, questions arise on whether the investments planned before the pandemic are still relevant in the changed global landscape and what effects they may have on the country’s economy.In this study, we analyse post-pandemic scenarios for the electricity supply system of Tunisia with an energy-economy modelling framework, soft-linking the energy modelling tool OSeMOSYS and an open source Input-Output model. We extract insights on the cost-competitiveness of different – previously planned and new – electricity supply solutions and their impacts on job creation and loss in the entire economy. We find that renewable solutions based on solar photovoltaic remain highly competitive with gas-fired generation under different projections of gas prices and that several low-carbon and energy efficiency solutions have high potential for job creation.

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Section: Methodology and Scenariosmentioning

confidence: 99%

A scenario analysis of potential long-term impacts of COVID-19 on the Tunisian electricity sector

Gardumi

Mhiri

Howells

et al. 2021

Preprint

Self Cite

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“…Not applicable. Final Electricity Demand Projection (PJ) for Liberia [22] Supplementary Files This is a list of supplementary les associated with this preprint. Click to download.…”

Section: Declarations Ethics Statementmentioning

confidence: 99%

Selected ‘Starter Kit’ energy system modelling data for Liberia (#CCG)

Allington

Cannone

Pappis

et al. 2021

Preprint

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Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to starting energy system modelling in developing countries, thereby causing delays. Therefore, this article provides data that can be used to create a simple zero order energy system model for Liberia, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and two stylized scenarios (Fossil Future and Least Cost) for 2020–2050. The assumptions used and results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.

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“…The nal electricity demand projection is based on data from the TEMBA Reference Scenario dataset [22], which provides yearly total demand estimates from 2015-2070 under a reference case scenario. An illustrative example of a zero-order least-cost energy scenario for Benin produced using the data presented in this paper.…”

Section: Electricity Demand Datamentioning

confidence: 99%

Selected ‘Starter Kit’ energy system modelling data for Benin (#CCG)

Allington

Cannone

Pappis

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to starting energy system modelling in developing countries, thereby causing delays. Therefore, this article provides data that can be used to create a simple zero order energy system model for Benin, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and two stylized scenarios (Fossil Future and Least Cost) for 2020–2050. The assumptions used and results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work.

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Conflicting objectives of energy development and water security in Africa

Cited by 67 publications

References 17 publications

A scenario analysis of potential long-term impacts of COVID-19 on the Tunisian electricity sector

A scenario analysis of potential long-term impacts of COVID-19 on the Tunisian electricity sector

Selected ‘Starter Kit’ energy system modelling data for Liberia (#CCG)

Selected ‘Starter Kit’ energy system modelling data for Benin (#CCG)

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