scholarly journals Study on the Traffic Energy System Model in Urumqi Based on Scenario Analysis Methods

2013 ◽  
Vol 05 (04) ◽  
pp. 241-246
Author(s):  
Xiaowei Sun ◽  
Yulei Xie ◽  
Zhenghui Fu ◽  
Hongkuan Zang
Keyword(s):  
Scenario Analysis ◽  
Energy System ◽  
System Model ◽  
Energy System Model ◽  
Analysis Methods

scholarly journals System analysis of the bio‐based economy in Colombia: A bottom‐up energy system model and scenario analysis

2020 ◽  
Author(s):  
Ahmed Younis ◽  
René Benders ◽  
Ricardo Delgado ◽  
Tjerk Lap ◽  
Miguel Gonzalez‐Salazar ◽  
...  
Keyword(s):  
Scenario Analysis ◽  
System Analysis ◽  
Energy System ◽  
System Model ◽  
Bottom Up ◽  
Energy System Model

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

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.

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