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

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...

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Bibliographic Details
Main Authors: Lucy Allington, Carla Cannone, Ioannis Pappis, Karla Cervantes Barron, Will Usher, Steve Pye, Ed Brown, Mark Howells, Taco Niet, Miriam Zachau Walker, Aniq Ahsan, Flora Charbonnier, Claire Halloran, Stephanie Hirmer, Constantinos Taliotis, Caroline Sundin, Vignesh Sridharan, Eunice Ramos, Maarten Brinkerink, Paul Deane, Andrii Gritsevskyi, Gustavo Moura, David Wogan, Edito Barcelona, Holger Rogner
Format: Default Preprint
Published: 2021
Subjects:
CCG
Online Access:https://hdl.handle.net/2134/19364615.v1
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Summary: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 Philippines, 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.