Development of a national water-energy system model with emphasis on the power sector for south africa

2018 ◽  
Vol 37 (1) ◽  
pp. 132-147 ◽  
Author(s):  
Fadiel Ahjum ◽  
Bruno Merven ◽  
James Cullis ◽  
Gary Goldstein ◽  
Pat DeLaquil ◽  
...  
Keyword(s):  
South Africa ◽  
Energy System ◽  
System Model ◽  
Power Sector ◽  
Energy System Model ◽  
National Water

scholarly journals Application of a high-detail energy system model to derive power sector characteristics at high wind and solar shares

2017 ◽  
Vol 64 ◽  
pp. 568-582 ◽  
Author(s):  
Yvonne Scholz ◽  
Hans Christian Gils ◽  
Robert C. Pietzcker
Keyword(s):  
Energy System ◽  
System Model ◽  
High Wind ◽  
Power Sector ◽  
Energy System Model

scholarly journals Selected ‘Starter Kit’ energy system modelling data for South Africa (#CCG)

2021 ◽  
Author(s):  
Lucy Allington ◽  
Carla Cannone ◽  
Ioannis Pappis ◽  
Karla Cervantes Barron ◽  
Will Usher ◽  
...  
Keyword(s):  
South Africa ◽  
Model Development ◽  
Energy System ◽  
Simple Zero ◽  
System Model ◽  
System Modelling ◽  
Local Data ◽  
Energy System Model ◽  
Starting Point ◽  
Modelling Studies

Abstract 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 South Africa, 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.

OPERA: a New High-Resolution Energy System Model for Sector Integration Research

2021 ◽  
Author(s):  
Joost N. P. van Stralen ◽  
Francesco Dalla Longa ◽  
Bert W. Daniëls ◽  
Koen E. L. Smekens ◽  
Bob van der Zwaan
Keyword(s):  
High Resolution ◽  
Energy System ◽  
System Model ◽  
Energy System Model ◽  
Sector Integration

scholarly journals Time- and component-resolved energy system model of an electric steel mill

2021 ◽  
pp. 100223
Author(s):  
Johannes Dock ◽  
Daniel Janz ◽  
Thomas Kienberger ◽  
Jakob Weiss ◽  
Aaron Marschnig
Keyword(s):  
Energy System ◽  
System Model ◽  
Electric Steel ◽  
Steel Mill ◽  
Energy System Model

Impacts of employment in power generation on renewable-based energy systems in Japan— Analysis using an energy system model

Energy ◽  
2021 ◽  
Vol 226 ◽  
pp. 120350
Author(s):  
Yu Nagatomo ◽  
Akito Ozawa ◽  
Yuki Kudoh ◽  
Hiroki Hondo
Keyword(s):  
Power Generation ◽  
Energy Systems ◽  
Energy System ◽  
System Model ◽  
Energy System Model

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

2021 ◽  
Author(s):  
Carla Cannone ◽  
Lucy Allington ◽  
Ioannis Pappis ◽  
Karla Cervantes Barron ◽  
Will Usher ◽  
...  
Keyword(s):  
Model Development ◽  
Energy System ◽  
Simple Zero ◽  
System Model ◽  
System Modelling ◽  
Local Data ◽  
Energy System Model ◽  
Starting Point ◽  
Modelling Studies ◽  
Access To Data

Abstract 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 energy system modelling, causing delays. Therefore, this article provides data that can be used to create a simple zero order energy system model for Paraguay, 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 three stylized scenarios (Fossil Future, Least Cost and Net Zero by 2050) 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.

scholarly journals Selected ‘Starter Kit’ energy system modelling data for Morocco (#CCG)

2021 ◽  
Author(s):  
Carla Cannone ◽  
Lucy Allington ◽  
Ioannis Pappis ◽  
Karla Cervantes Barron ◽  
Will Usher ◽  
...  
Keyword(s):  
Model Development ◽  
Energy System ◽  
Simple Zero ◽  
System Model ◽  
System Modelling ◽  
Local Data ◽  
Energy System Model ◽  
Starting Point ◽  
Modelling Studies ◽  
Access To Data

Abstract 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 Morocco, 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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