PA11H:
Open-Source Energy Data and Modeling Posters


Submit an Abstract to this Session


Session ID#: 50492

Session Description:
The analysis of energy systems has historically used proprietary data and models. This reduces transparency and replicability and therefore credibility of results. It also complicates coupling different models together for larger system analysis purposes.

Open data can play an important role in overcoming these problems. It has the potential to decrease duplication of efforts and improve scientific reliability of results, which can lead to better policy decisions. However, open data requires re-thinking how datasets are validated and kept current, how data from multiple sources can be integrated, and how standard data formats can be developed and implemented.

This panel session aims to highlight ongoing efforts to increase transparency in energy modelling, including the increased use of satellite data, open models and access to open energy data. It will also provide a forum to discuss the challenges and opportunities related to open data sources in energy.

Primary Convener:  Aaron Kressig, World Resources Institute, Washington, DC, United States
Conveners:  Johannes Friedrich, World Resources Institute, Washington D.C., DC, United States, Sadie Cox, National Renewable Energy Laboratory Golden, Golden, United States and Rajan Gupta, Los Alamos National Laboratory, Los Alamos, NM, United States
Primary Liaison:  Johannes Friedrich, World Resources Institute, Washington D.C., DC, United States
Chairs:  Aaron Kressig, World Resources Institute, Washington, DC, United States and Johannes Friedrich, World Resources Institute, Washington D.C., DC, United States
OSPA Liaison:  Aaron Kressig, World Resources Institute, Washington, DC, United States
Co-Organized with:
Public Affairs, and Atmospheric Sciences

Cross-Listed:
  • A - Atmospheric Sciences
  • GH - GeoHealth

Proposed Co-Organized Session with:
  • A - Atmospheric Sciences
Index Terms:

6615 Legislation and regulations [PUBLIC ISSUES]

Abstracts Submitted to this Session:

The AGCI Energy Table: A Comprehensive, Open-Access Reference for Global Energy Data (399599)
Emily Jack-Scott, Aspen Global Change Institute, Washington, DC, United States
Open Energy Infrastructure Data Through Automated Assessment Using Satellite Imagery (402890)
Kyle Bradbury1, Jordan Malof2, Marc A Jeuland3, Bohao Huang1, Brian Wong4, Timothy Johnson4 and Leslie Collins1, (1)Duke University, Electrical and Computer Engineering, Durham, United States, (2)University of Montana, Department of Computer Science, Missoula, United States, (3)Duke University, Sanford School of Public Policy, Durham, NC, United States, (4)Duke University, Nicholas School of the Environment, Durham, United States
Rapid Core Characterization (455684)
Sarah R Brown1,2, Dustin Crandall3, Johnathan Moore1, Paige R Mackey4 and Thomas Paronish1, (1)National Energy Technology Laboratory Morgantown, Morgantown, WV, United States, (2)U.S. Department of Energy, National Energy Technology Laboratory, AECOM, Morgantown, WV, United States, (3)National Energy Technology Laboratory Pittsburgh, Pittsburgh, PA, United States, (4)U.S. Department of Energy, National Energy Technology Laboratory, ORISE, 3610 Collins Ferry Road, Morgantown, WV 26507, Morgantown, United States
TEMBA, SAMBA and OSEMBE, the energy model bases for Africa, South America and EU-28 respectively. Included are individual open models of each country woven together to account for trade. We discuss key results and continental initiatives currently taking place to support teaching and capacity building for open source energy modelling and planning. (468113)
Mark Idwal Howells, KTH Royal Institute of Technology, Stockholm, Sweden

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