Work

Opportunities and Challenges in the Visualization of Energy Scenarios for Decision-Making: Preprint

Year: 2024

Type: article

Abstract: Scenario studies are a technique for representing a range of possible complex decisions through time, and analyzing the impact of those decisions on future outcomes of interest. It is common to use scenarios as a way to study potential pathways towards future build-out and decarbonization of energy systems. The results of these studies are often used by diverse energy system stakeholders - such as community organizations, power system utilities, and policymakers - for decision-making using data visualization. However, the role of visualization in facilitating decision-making with energy scenario data is not well understood. In this work, we review visualization designs employed in energy scenario studies found in the literature and publicly accessible online sources. We discuss the effectiveness of existing techniques particularly in regards to decision-making, and present opportunities and challenges in the visualization of energy system scenario data.

Source: OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)

Author: Molnar, Sam; Johnson, Graham; Gruchalla, Kenny; Potter, Kristi

Institution: National Laboratory of the Rockies

Language: English

Topic: Data Visualization and Analytics

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action

Open Access status: green

Funders: U.S. Department of Energy, Laboratory Directed Research and Development, National Renewable Energy Laboratory