Research and Development Priorities for Energy Islanding of Military and Industrial Installations
Publication: Journal of Infrastructure Systems
Volume 19, Issue 3
Abstract
Research and development for energy systems (e.g., smart and secure microgrids for industrial and military installations and solar cogeneration technologies) must account for deep uncertainties and emergent conditions including economic, regulatory, technological, mission, demographic, and environmental or ecological, among others. Deep uncertainties involve structural and qualitative perspectives or trends that change the game. Recent literature has identified emergent conditions and deep uncertainties that are most influential to decision criteria priorities among existing energy assets and systems. This paper introduces a practical method to help prioritize strategic energy research and development investments and minimize opportunity loss or program risk for investments with a long time horizon. There are a number of interesting observations that can be perceived from this method including robustness, scenario influence, risk, and opportunity. The method is recommended to help achieve consensus of program managers, installation commanders, energy managers, technology vendors, urban planners, and customers and tenants. A quantitative demonstration is provided that addresses five scenarios of deep uncertainty, ten performance criteria, and six investment portfolios.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
The following individuals contributed to the effort: Tarek Abdallah [Engineer Research Development Center (ERDC)/Construction Engineering Research Laboratory (CERL)/United States Army Corps of Engineers (USACE)], Melanie Johnson (ERDC/CERL), Chris W. Karvetski, Ph.D. (George Mason University), Renae D. Ditmer, Ph.D. (STRATCON LLC), Kevin Brady [Lead, Ft. Belvoir Night Vision and Electronic Sensors Directorate (NVESD) Energy Working Group], Bill Elliott (Ft. Belvoir NVESD Energy Working Group), and Randy Roy (Lars Energy and Ft. Belvoir NVESD Energy Working Group). This effort is supported by the American Recovery and Reinvestment Act through ERDC/USACE contract W9132T-10-C-0019. Permission was granted by the Chief of Engineers to publish this information. The views and opinions expressed in this paper are those of the individual authors and not those of the U.S. Army or other sponsor agencies.
References
Belton, V., and Stewart, T. J. (2002). Multiple criteria decision analysis, an integrated approach, Kluwer Academic, Norwell, MA.
Bryant, B. P., and Lempert, R. J. (2010). “Thinking inside the box: A participatory, computer-assisted approach to scenario discovery.” Technol. Forecast. Soc. Change, 77(1), 34–49.
Corvellec, H., and Risberg, A. (2007). “Sense giving as mise-en-sense—The case of wind power development.” Scand. J. Manage., 23(3), 306–326.
Defense Science Board. (2008). “Report of the defense science board task force on DoD energy strategy.” “More Fight—Less Fuel” Office of the Under Secretary of Defense for Acquisition, Technology, and Logistics, Washington, DC.
Hsu, Y. G., Tzeng, G. H., and Shyu, J. Z. (2003). “Fuzzy multiple criteria selection of government-sponsored frontier technology R&D projects.” R&D Manage., 33(5), 539–550.
Huang, C. C., Chu, P. Y., and Chiang, Y. (2008). “A fuzzy AHP application in government-sponsored R&D project selection.” Omega, 36(6), 1038–1052.
Iamratanakul, S., Patanakul, P., and Milosevic, D. (2008). “Project portfolio selection: From past to present.” Proc. of the 2008 IEEE Int. Conf. on Management of Innovation and Technology, IEEE, New York.
Joshi, N. N., and Lambert, J. H. (2011). “Diversification of engineering infrastructure investments for emergent and unknown non-systematic risks.” J. Risk Res., 14(6), 717–733.
Kaplan, S., and Garrick, B. J. (1981). “On the quantitative definition of risk.” J. Risk Res., 1(1), 11–27.
Kaplan, S., Haimes, Y. Y., and Garrick, B. J. (2001). “Fitting hierarchical holographic modeling into the theory of scenario structuring and a resulting refinement to the quantitative definition of risk.” J. Risk Res., 21(5), 807.
Karvetski, C. W., and Lambert, J. H. (2012). “Evaluating deep uncertainties in strategic priority-setting with an application to facility energy investments.” Syst. Eng., 15(4), 483–493.
Karvetski, C. W., Lambert, J. H., Keisler, J. M., and Linkov, I. (2011a). “Integration of decision analysis and scenario planning for coastal engineering and climate change.” IEEE Trans. Syst. Man Cybern. Syst. Hum., 41(1), 63–73.
Karvetski, C. W., Lambert, J. H., Keisler, J. M., Sexauer, B., and Linkov, I. (2011b). “Climate change scenarios: Risk and impact analysis for Alaska coastal infrastructure.” Int. J. Risk Assess. Manage., 15(2/3), 258–274.
Karvetski, C. W., Lambert, J. H., and Linkov, I. (2009). “Emergent conditions and multicriteria analysis in infrastructure prioritization for developing countries.” J. Multiple Criteria Decis. Anal., 16(5–6), 125–137.
Karvetski, C. W., Lambert, J. H., and Linkov, I. (2011c). “Scenario and multiple criteria decision analysis for energy and environmental security of military and industrial installations.” Integr. Environ. Assess. Manage., 7(2), 228–236.
Keeney, R. L. (1992). Value-focused thinking, a path to creative decision making, Harvard University Press, Cambridge, MA.
Keeney, R. L., and Raiffa, H. (1993). Decisions with multiple objectives: Preferences and value tradeoffs, Cambridge University Press, New York.
Kutlaca, D. (1997). “Multicriteria-based procedure as decision support in the selection of government financed R&D project.” Yugoslav J. Oper. Res., 7(1), 133–148.
Lambert, J. H., et al. (2011a). “Energy security and environment at installations: Emergent and future conditions influencing technology innovation and performance.” IEEE Int. Technology Management Conf., IEEE, New York.
Lambert, J. H., et al. (2012). “Prioritizing infrastructure investments in Afghanistan with multiagency stakeholders and deep uncertainty of emergent conditions.” J. Infrastruct. Syst., 18(2), 155–216.
Lambert, J. H., Karvetski, C. W., Ditmer, R. D., Abdallah, T., Johnson, M. D., and Linkov, I. (2011b). “Energy security for industrial and military installations: Emergent conditions that influence the strategic selection of technologies.” Energy security: International and local issues, theoretical perspectives, and critical energy infrastructures, A. Gheorghe and L. Muresan, eds., Springer, Dordrecht, Netherlands, 317–332.
Lambert, J. H., Karvetski, C. W., Hamilton, M. C., and Linkov, I. (2011c). “Energy security of military and industrial systems with multicriteria analysis of vulnerability to emergent conditions including cyber threats.” IEEE Int. Systems Conf., IEEE, New York.
Lambert, J. H., Karvetski, C. W., Linkov, I., and Abdallah, T. (2010). “Energy security of military and industrial facilities: A scenario-based multiple criteria decision analysis to identify threats and opportunities.” Proc. from Tenth Int. Conf. on Probabilistic Safety Assessment and Management (IAPSAM), International Association for Probabilistic Safety Assessment and Management, Seattle, WA.
Lempert, R. J., Popper, S. W., and Bankes, S. C. (2003). “Shaping the next one hundred years: New methods for quantitative, long-term policy analysis.” RAND, Santa Monica, CA.
Linkov, I., Karvetski, C. W., Lambert, J. H., Abdallah, T., and Case, M. (2010). “Energy security of army installations and islanding methodologies: A multiple criteria decision aid to innovation with emergent conditions of the energy environment.” The Environment, Energy Security, and Sustainability Symposium and Exhibition (E2S2), Denver, CO.
Martinez, L. J., and Lambert, J. H. (2010). “Prioritising sources of risk at liquefied natural gas storage terminals in Mexico.” Int. J. Bus. Continuity Risk Manage., 1(4), 363–383.
Martinez, L. J., Lambert, J. H., and Karvetski, C. (2011). “Scenario-informed multiple criteria analysis for prioritizing investments in electricity capacity expansion.” Reliab. Eng. Syst. Saf., 96(8), 883–891.
Martinez, L. J., Lambert, J. H., and Karvetski, C. W. (2010). “Public perception of the risks of liquefied natural gas terminals in Mexico: A prioritisation of communication strategies.” Int. J. Crit. Infrastruct., 6(4), 327–346.
Meade, L. M., and Presley, A. (2002). “R&D project selection using the analytic network process.” IEEE Trans. Eng. Manag., 49(1), 59–66.
Parnell, G. S., Jackson, J. A., Burk, R. C., Lehmkuhl, L. J., and Engelbrecht, J. A. (1999). “R&D concept decision analysis: Using alternate futures for sensitivity analysis.” J. Multicriteria Decis. Anal., 8(3), 119–127.
Schmidt, R. L., and Freeland, J. R. (1992). “Recent progress in modeling R&D project-selection processes.” IEEE Trans. Eng. Manage., 39(2), 189–201.
Stewart, T. J. (1996). “Robustness of additive value function methods in MCDM.” J. Multi-Criteria Decis. Anal., 5(4), 301–309.
Tonn, B., et al. (2009). “Power from perspective: Potential future United States energy portfolios.” Energy Policy, 37(4), 1432–1443.
U.S. Army. (2009). “Army energy security implementation strategy (AESIS).” 〈http://www.asaie.army.mil/Public/Partnerships/doc/AESIS_13JAN09_Approved%204-03-09.pdf〉 (Jan. 10, 2012).
United Nations. (2008). “Global energy scenarios.” United Nations University—Millennium Project, 〈http://www.millennium-project.org/millennium/scenarios/energyscenarios.html〉 (Jan. 10, 2012).
World Energy Council. (2007). “Deciding the future: Energy policy scenarios to 2050.” 〈http://www.worldenergy.org/documents/scenarios_study_online.pdf〉 (Jan. 10, 2012).
Information & Authors
Information
Published In
Copyright
© 2013 American Society of Civil Engineers.
History
Received: Jan 16, 2012
Accepted: Oct 10, 2012
Published online: Oct 12, 2012
Discussion open until: Mar 12, 2013
Published in print: Sep 1, 2013
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.