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EnergyViz: an interactive system for visualization of energy systems

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Abstract

Energy systems are under pressure to transform to address concerns about climate change. The modeling and visualization of energy systems can play an important role in communicating the costs, benefits and trade-offs of energy systems choices. We introduce EnergyViz, a visualization system that provides an interface for exploring time-varying, multi-attribute and spatial properties of a particular energy system. EnergyViz integrates several visualization techniques to facilitate exploration of a particular energy system. These techniques include flow diagram representation to show energy flow, 3D interaction with flow diagrams for expanding viewable data attributes such as emissions and an interactive map integrated with flow diagrams for simultaneous exploration of spatial and abstract information. We also perform level-of-detail exploration on flow diagrams and use smooth animation across the visualizations to represent time-varying data. Finally, we include evaluation results of EnergyViz collected from expert and inexperienced participants.

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References

  1. Aigner, W., Miksch, S., Muller, W., Schumann, H., Tominski, C.: Visualizing time-oriented data. A systematic view. Comput. Graph. 31(3), 148–252 (2007)

    Google Scholar 

  2. Aigner, W., Miksch, S., Schumann, H., Tominski, C.: Visualization of Time-Oriented Data, 1st edn. Springer, Berlin (2011)

    Book  Google Scholar 

  3. Alemasoom, H., Samavati, F., Brosz, J., Layzell, D.: Interactive visualization of energy system. In: Cyberworlds International Conference, Santander, Spain (2014)

  4. Auber, D., Jourdan, F.: Interactive refinement of multi-scale network clusterings. In: Proceedings of Ninth International Conference on Information Visualisation, pp. 703–709 (2005)

  5. Bendix, F., Kosara, R., Hauser, H.: Parallel sets: visual analysis of categorical data. In: IEEE Symposium on Information Visualization, pp. 133–140 (2005)

  6. Bezerianos, A., Chevalier, F., Dragicevic, P., Elmqvist, N., Fekete, J.D.: Graphdice: a system for exploring multivariate social networks. In: Proceedings of the 12th Eurographics VGTC Conference on Visualization, pp. 863–872 (2010)

  7. Bondy, J.A., Murty, U.S.R.: Graph Theory with Applications, vol. 6. Macmillan, London (1976)

    Book  MATH  Google Scholar 

  8. Brockenauer, R., Cornelsen, S.: Drawing Graphs: Methods and Models, Chap. Drawing Clusters and Hierarchies. Springer, Berlin (2001)

    MATH  Google Scholar 

  9. Canadian Energy System Simulator (CanESS). http://www.whatiftechnologies.com/index.php/caness. (Online; accessed Feb-2015)

  10. Collins, C., Carpendale, S.: Vislink: revealing relationships amongst visualizations. IEEE Trans. Vis. Comput. Graph. 13(6), 1192–1199 (2007)

    Article  Google Scholar 

  11. Doantam Phan, L.X., Yeh, R., Hanrahan, P., Winograd, T.: Flow map layout. In: Proceedings of the IEEE Symposium on Information Visualization, pp. 219–224 (2005)

  12. Erten, C., Harding, P.J., Kobourov, S.G., Wampler, K., Yee, G.: Graphael: graph animationswith evolving layouts. In: Liotta, G. (ed.) Graph Drawing, pp. 98–110. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  13. Gapminder. http://www.gapminder.org (2014). (Online; accessed Feb-2015)

  14. Guo, D., Chen, J., MacEachren, A., Liao, K.: A visualization system for space-time and multivariate patterns (vis-stamp). IEEE Trans. Vis. Comput. Graph. 12(6), 1461–1474 (2006)

    Article  Google Scholar 

  15. Healy, P., Nikolov, N.S.: Handbook of Graph Drawing and Visualization, 1st edn. Chapman and Hall, London (2013)

    Google Scholar 

  16. International Energy Agency’s Interactive Sankey Diagram. http://www.iea.org/Sankey (2014). (Online; accessed Feb-2015)

  17. Kothur, P., Sips, M., Kuhlmann, J., Dransch, D.: Visualization of geospatial time series from environmental modeling output, pp. 115–119 (2012)

  18. Muller, W., Schumann, H.: Visualization methods for time-dependent data—an overview. In: Proceedings of the Simulation Conference, vol. 1, pp. 737–745 (2003)

  19. North, S.C., Woodhull, G.: Online hierarchical graph drawing. In: Mutzel, P., Jünger, M., Leipert, S. (eds.) Graph Drawing, pp. 232–246. Springer, Heidelberg (2002)

  20. Numeric.js: http://numericjs.com/ (2015). (Online; accessed Feb 2015)

  21. Riehmann, P., Hanfler, M., Froehlich, B.: Interactive sankey diagrams. In: IEEE Symposium on Information Visualization, pp. 233–240 (2005)

  22. Robertson, G., Fernandez, R., Fisher, D., Lee, B., Stasko, J.: Effectiveness of animation in trend visualization. IEEE Trans. Vis. Comput. Graph. 14(6), 1325–1332 (2008)

  23. Steele, J., Illinsky, N.: Beautiful Visualization, 1st edn. O’Reilly Media, Sebastopol (2011)

    Google Scholar 

  24. Sugiyama, K., Tagawa, S., Toda, M.: Methods for visual understanding of hierarchical system structures. IEEE Trans. Syst. Man Cybern. 11(2), 109–125 (1981)

    Article  MathSciNet  Google Scholar 

  25. Tiller, W., Hanson, E.G.: Offsets of two-dimensional profiles. IEEE Comput. Graph. Appl. 4(9), 36–46 (1984)

    Article  Google Scholar 

  26. Tufte, E.R., Graves-Morris, P.: The Visual Display of Quantitative Information, vol. 2. Graphics Press, Cheshire (1983)

    Google Scholar 

  27. von Landesberger, T., Bremm, S., Andrienko, N., Andrienko, G., Tekusova, M.: Visual analytics methods for categoric spatio-temporal data. In: IEEE Conference on Visual Analytics Science and Technology (VAST), pp. 183–192 (2012)

  28. Wongsuphasawat, K., Gotz, D.: Exploring flow, factors, and outcomes of temporal event sequences with the outflow visualization. Vis. Comput. Graph. IEEE Trans. 18(12), 2659–2668 (2012)

    Article  Google Scholar 

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Acknowledgments

The authors would like to thank whatIf? Technologies Inc. (Ottawa, ON) for providing access to the data from their Canadian Energy Systems Simulator (CanESS) model. Research funding was provided by Canada School of Energy and Environment and GRAND NCE.

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Correspondence to Haleh Alemasoom.

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Alemasoom, H., Samavati, F., Brosz, J. et al. EnergyViz: an interactive system for visualization of energy systems. Vis Comput 32, 403–413 (2016). https://doi.org/10.1007/s00371-015-1186-8

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  • DOI: https://doi.org/10.1007/s00371-015-1186-8

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