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Scenario and multiple criteria decision analysis for energy and environmental security of military and industrial installations
105
Citations
17
References
2010
Year
Energy SafetyEngineeringEnergy EfficiencyEnvironmental Impact AssessmentSecurity AssessmentMultiple-criteria Decision AnalysisReliability EngineeringEnvironmental SecurityRisk ManagementSystems EngineeringMulticriteria EvaluationEnergy AssessmentScenario AnalysisInstallation SecurityInfrastructure SecurityIndustrial FacilitiesIndustrial BuildingsSmart GridEnergy ManagementSustainable EnergyPower System ReliabilityCivil EngineeringEnergy PolicySecurityEnergy PlanningIndustrial Installations
Military and industrial facilities need secure and reliable power generation. Grid outages can result in cascading infrastructure failures as well as security breaches and should be avoided. Adding redundancy and increasing reliability can require additional environmental, financial, logistical, and other considerations and resources. Uncertain scenarios consisting of emergent environmental conditions, regulatory changes, growth of regional energy demands, and other concerns result in further complications. Decisions on selecting energy alternatives are made on an ad hoc basis. The present work integrates scenario analysis and multiple criteria decision analysis (MCDA) to identify combinations of impactful emergent conditions and to perform a preliminary benefits analysis of energy and environmental security investments for industrial and military installations. Application of a traditional MCDA approach would require significant stakeholder elicitations under multiple uncertain scenarios. The approach proposed in this study develops and iteratively adjusts a scoring function for investment alternatives to find the scenarios with the most significant impacts on installation security. A robust prioritization of investment alternatives can be achieved by integrating stakeholder preferences and focusing modeling and decision-analytical tools on a few key emergent conditions and scenarios. The approach is described and demonstrated for a campus of several dozen interconnected industrial buildings within a major installation.
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