Skip to main content

On Valuation of Smart Grid Architectures: An Enterprise Engineering Perspective

  • Conference paper
  • First Online:
Book cover Enterprise, Business-Process and Information Systems Modeling (BPMDS 2017, EMMSAD 2017)

Abstract

This paper presents the initial design of a method to value smart grid (SG) architectures from a business point of view. The proposed design relies on the use of the Smart Grid Architecture Model (SGAM) and an adapted version of Bedell’s method to assess the strategic importance and effectiveness of SG elements. As an attempt to automate such valuation, we also propose the use of a survey and a decision support system (DSS) that can determine the overall value of SG architectures.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Borenstein, S.: The private and public economics of renewable electricity generation. J. Econ. Perspect. 26(1), 67–92 (2012)

    Article  Google Scholar 

  2. Bush, S.F.: Communication-Enabled Intelligence for the Electric Power Grid. IEEE Press, London (2014)

    Book  Google Scholar 

  3. CEN-CENELEC-ETSI. Smart grid coordination group: Smart grid reference architecture, European Committee for Standardization, Brussels, Belgium, Technical report (2012)

    Google Scholar 

  4. Chan, S.H., et al.: Decision motivation and its antecedents. Information & Management (2017)

    Google Scholar 

  5. DISCERN Project. WP8 D8.1 Business Case on Use Cases and Sensitivity Analysis (2017). https://www.discern.eu/. Accessed 27 Feb 2017

  6. Gregor, S., Hevner, A.R.: Positioning and presenting design science research for maximum impact. MIS Q. 37(2), 337–355 (2013)

    Google Scholar 

  7. Technology Roadmap: How2Guide for Smart Grids in Distribution Networks, International Energy Agency (IEA). Technical report OECD/IEA (2015)

    Google Scholar 

  8. Next Generation Wind and Solar Power - From Cost to Value, International Energy Agency (IEA). Technical report, OECD/IEA (2016)

    Google Scholar 

  9. Klashner, R., Sabet, S.: A DSS Design Model for complex problems: Lessons from mission critical infrastructure. Decis. Support Syst. 43(3), 990–1013 (2007)

    Article  Google Scholar 

  10. Peffers, K., et al.: A design science research methodology for information systems research. J. Manage. Inf. Syst. 24(3), 45–77 (2007)

    Article  Google Scholar 

  11. Power, D.J., Sharda, R.: Model-driven decision support systems: concepts and research directions. Decis. Support Syst. 43(3), 1044–1061 (2007)

    Article  Google Scholar 

  12. Quartel, D., Steen, M.W., Lankhorst, M.: Using enterprise architecture and business requirements modeling. In: 14th IEEE International Enterprise Distributed Object Computing Conference (EDOC), pp. 3–13 (2010)

    Google Scholar 

  13. Schuurman, P., Egon, W.B., Philip, P.: Calculating the importance of information systems: the method of Bedell revisited (2008)

    Google Scholar 

  14. Ueckerdt, F., et al.: System LCOE: what are the costs of variable renewables? Energy 63, 61–75 (2013)

    Article  Google Scholar 

  15. U.S. Energy Information Administration. Levelized Cost and Levelized Avoided Cost of New Generation Resources in the Annual Energy Outlook 2016, Technical report, August 2016

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Iván S. Razo-Zapata .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Razo-Zapata, I.S., Shrestha, A., Proper, E. (2017). On Valuation of Smart Grid Architectures: An Enterprise Engineering Perspective. In: Reinhartz-Berger, I., Gulden, J., Nurcan, S., Guédria, W., Bera, P. (eds) Enterprise, Business-Process and Information Systems Modeling. BPMDS EMMSAD 2017 2017. Lecture Notes in Business Information Processing, vol 287. Springer, Cham. https://doi.org/10.1007/978-3-319-59466-8_22

Download citation

Publish with us

Policies and ethics