Literature DB >> 27942567

Data on fossil fuel availability for Shared Socioeconomic Pathways.

Nico Bauer1, Jérôme Hilaire2, Robert J Brecha3, Jae Edmonds4, Kejun Jiang5, Elmar Kriegler1, Hans-Holger Rogner6, Fabio Sferra7.   

Abstract

The data files contain the assumptions and results for the construction of cumulative availability curves for coal, oil and gas for the five Shared Socioeconomic Pathways. The files include the maximum availability (also known as cumulative extraction cost curves) and the assumptions that are applied to construct the SSPs. The data is differentiated into twenty regions. The resulting cumulative availability curves are plotted and the aggregate data as well as cumulative availability curves are compared across SSPs. The methodology, the data sources and the assumptions are documented in a related article (N. Bauer, J. Hilaire, R.J. Brecha, J. Edmonds, K. Jiang, E. Kriegler, H.-H. Rogner, F. Sferra, 2016) [1] under DOI: http://dx.doi.org/10.1016/j.energy.2016.05.088.

Entities:  

Keywords:  Coal; Energy economics; Extraction cost; Fossil fuel sector; Gas; Integrated Assessment Models; Oil; Shared Socio-economic Pathways (SSPs)

Year:  2016        PMID: 27942567      PMCID: PMC5137328          DOI: 10.1016/j.dib.2016.11.043

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table Value of the data Cumulative extraction cost curves can be used in models. Alternative assumptions can be applied to the data to formulate alternative interpretations of SSPs. Data files can be updated as improved data becomes available. Data can be used for comparing assumptions across models.

Data

Files contain original data, assumptions for formulating the alternative scenarios and the resulting cumulative availability curves for coal, oil and gas. The spreadsheet names are clearly identifying the different pieces of information. At the beginning there is also guidance on how to read the data.

Experimental design, materials and methods

The data is a collection and harmonization of fossil fuel and resources data as well as costs reported in the literature. The basis is the Global Energy Assessment data set that is up-dated according to changes that are fully documented in the article. The assumptions that are applied on the data to derive SSP specific cumulative availability curves are fully included and the article also reports the reasons for the various assumptions. Finally, all resulting cumulative availability curves are fully included giving the data and providing figures.
Subject areaEconomics
More specific subject areaEnergy economics, Shared socio-economic pathways (SSPs), fossil fuel sector, coal, oil, gas, Integrated Assessment Models, extraction cost
Type of dataData files in EXCEL format.
How data was acquiredData bases, literature review
Data formatRaw data, additional assumptions and resulting data
Experimental factorsNot applicable.
Experimental featuresNot applicable.
Data source locationNot applicable.
Data accessibilityData is within this article
  2 in total

1.  Global methane emissions from coal mining to continue growing even with declining coal production.

Authors:  Nazar Kholod; Meredydd Evans; Raymond C Pilcher; Volha Roshchanka; Felicia Ruiz; Michael Coté; Ron Collings
Journal:  J Clean Prod       Date:  2020       Impact factor: 9.297

2.  Survey data on factors affecting negotiation of professional fees between Estate Valuers and their clients when the mortgage is financed by bank loan: A case study of mortgage valuations in Ikeja, Lagos State, Nigeria.

Authors:  Chukwuemeka O Iroham; Hilary I Okagbue; Olalekan A Ogunkoya; James D Owolabi
Journal:  Data Brief       Date:  2017-05-01
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.