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Selected ‘Starter Kit’ energy system modelling data for Malaysia (#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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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Default Preprint |
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2021
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| Online Access: | https://hdl.handle.net/2134/19364843.v1 |
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| _version_ | 1805986976897171456 |
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| author | 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 Arnaud Rouget David Wogan Edito Barcelona Holger Rogner |
| author_facet | 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 Arnaud Rouget David Wogan Edito Barcelona Holger Rogner |
| author_sort | Lucy Allington (12238811) |
| collection | Figshare |
| description | 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 Malaysia, 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. |
| format | Default Preprint |
| id | rr-article-19364843 |
| institution | Loughborough University |
| publishDate | 2021 |
| record_format | Figshare |
| spelling | rr-article-193648432021-07-28T00:00:00Z Selected ‘Starter Kit’ energy system modelling data for Malaysia (#CCG) Lucy Allington (12238811) Carla Cannone (10201796) Ioannis Pappis (10069468) Karla Cervantes Barron (12238814) Will Usher (8336142) Steve Pye (2812360) Ed Brown (1255365) Mark Howells (7875257) Taco Niet (9290180) Miriam Zachau Walker (12238817) Aniq Ahsan (1828006) Flora Charbonnier (12238820) Claire Halloran (12238823) Stephanie Hirmer (10768676) Constantinos Taliotis (8357937) Caroline Sundin (12238826) Vignesh Sridharan (9290177) Eunice Ramos (10069273) Maarten Brinkerink (9029269) Paul Deane (5144762) Andrii Gritsevskyi (12238829) Gustavo Moura (12238832) Arnaud Rouget (12238835) David Wogan (12238838) Edito Barcelona (12238841) Holger Rogner (8357940) U4RIA Renewable energy Cost-optimization Malaysia Energy policy CCG OSeMOSYS 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 Malaysia, 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. 2021-07-28T00:00:00Z Text Preprint 2134/19364843.v1 https://figshare.com/articles/preprint/Selected_Starter_Kit_energy_system_modelling_data_for_Malaysia_CCG_/19364843 CC BY 4.0 |
| spellingShingle | U4RIA Renewable energy Cost-optimization Malaysia Energy policy CCG OSeMOSYS 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 Arnaud Rouget David Wogan Edito Barcelona Holger Rogner Selected ‘Starter Kit’ energy system modelling data for Malaysia (#CCG) |
| title | Selected ‘Starter Kit’ energy system modelling data for Malaysia (#CCG) |
| title_full | Selected ‘Starter Kit’ energy system modelling data for Malaysia (#CCG) |
| title_fullStr | Selected ‘Starter Kit’ energy system modelling data for Malaysia (#CCG) |
| title_full_unstemmed | Selected ‘Starter Kit’ energy system modelling data for Malaysia (#CCG) |
| title_short | Selected ‘Starter Kit’ energy system modelling data for Malaysia (#CCG) |
| title_sort | selected ‘starter kit’ energy system modelling data for malaysia (#ccg) |
| topic | U4RIA Renewable energy Cost-optimization Malaysia Energy policy CCG OSeMOSYS |
| url | https://hdl.handle.net/2134/19364843.v1 |