Selected ‘Starter Kit’ energy system modelling data for Papua New Guinea (#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:	Lucy Allington, Carla Cannone, Ioannis Pappis, Karla Cervantes Barron, Will Usher, Steve Pye, Ed Brown, Mark Howells, 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, Jen Cronin
Format:	Default Preprint
Published:	2021
Subjects:	U4RIA Renewable energy Cost-optimization Papua New Guinea Energy policy CCG OSeMOSYS
Online Access:	https://hdl.handle.net/2134/19364894.v1
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id	rr-article-19364894
record_format	Figshare
spelling	rr-article-193648942021-07-28T00:00:00Z Selected ‘Starter Kit’ energy system modelling data for Papua New Guinea (#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) 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) Jen Cronin (12245690) U4RIA Renewable energy Cost-optimization Papua New Guinea 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 Papua New Guinea, 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 2134/19364894.v1 https://figshare.com/articles/preprint/Selected_Starter_Kit_energy_system_modelling_data_for_Papua_New_Guinea_CCG_/19364894 CC BY 4.0
institution	Loughborough University
collection	Figshare
topic	U4RIA Renewable energy Cost-optimization Papua New Guinea Energy policy CCG OSeMOSYS
spellingShingle	U4RIA Renewable energy Cost-optimization Papua New Guinea Energy policy CCG OSeMOSYS Lucy Allington Carla Cannone Ioannis Pappis Karla Cervantes Barron Will Usher Steve Pye Ed Brown Mark Howells 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 Jen Cronin Selected ‘Starter Kit’ energy system modelling data for Papua New Guinea (#CCG)
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 Papua New Guinea, 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
author	Lucy Allington Carla Cannone Ioannis Pappis Karla Cervantes Barron Will Usher Steve Pye Ed Brown Mark Howells 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 Jen Cronin
author_facet	Lucy Allington Carla Cannone Ioannis Pappis Karla Cervantes Barron Will Usher Steve Pye Ed Brown Mark Howells 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 Jen Cronin
author_sort	Lucy Allington (12238811)
title	Selected ‘Starter Kit’ energy system modelling data for Papua New Guinea (#CCG)
title_short	Selected ‘Starter Kit’ energy system modelling data for Papua New Guinea (#CCG)
title_full	Selected ‘Starter Kit’ energy system modelling data for Papua New Guinea (#CCG)
title_fullStr	Selected ‘Starter Kit’ energy system modelling data for Papua New Guinea (#CCG)
title_full_unstemmed	Selected ‘Starter Kit’ energy system modelling data for Papua New Guinea (#CCG)
title_sort	selected ‘starter kit’ energy system modelling data for papua new guinea (#ccg)
publishDate	2021
url	https://hdl.handle.net/2134/19364894.v1
_version_	1797185727566446592

Selected ‘Starter Kit’ energy system modelling data for Papua New Guinea (#CCG)

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