Sustainable and Resilient Design of Interdependent Water and Energy Systems: A Conceptual Modeling Framework for Tackling Complexities at the Infrastructure-Human-Resource Nexus
A modeling framework was conceptualized for capturing the complexities in resilience and sustainability associated with integration of centralized and decentralized water and energy systems under future demographic, climate, and technology scenarios. This framework integrates survey instruments for...
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doaj-34d655fda32c49118188021852a3ff732020-11-24T21:14:43ZengMDPI AGSustainability2071-10502018-06-01106184510.3390/su10061845su10061845Sustainable and Resilient Design of Interdependent Water and Energy Systems: A Conceptual Modeling Framework for Tackling Complexities at the Infrastructure-Human-Resource NexusWeiwei Mo0Zhongming Lu1Bistra Dilkina2Kevin H. Gardner3Ju-Chin Huang4Maria Christina Foreman5Department of Civil and Environmental Engineering, University of New Hampshire, Durham, NH 03824, USASchool of Environment, Beijing Normal University, Beijing 100875, ChinaSchool of Engineering, University of Southern California, Los Angeles, CA 90089, USADepartment of Civil and Environmental Engineering, University of New Hampshire, Durham, NH 03824, USAPeter T. Paul College of Business and Economics, University of New Hampshire, Durham, NH 03824, USAVolpe National Transportation Systems Center, U.S. Department of Transportation, Washington, DC 20590, USAA modeling framework was conceptualized for capturing the complexities in resilience and sustainability associated with integration of centralized and decentralized water and energy systems under future demographic, climate, and technology scenarios. This framework integrates survey instruments for characterizing individual preferences (utility functions) related to decentralization of water and energy infrastructure systems. It also includes a spatial agent-based model to develop spatially explicit adoption trajectories and patterns in accordance with utility functions and characteristics of the major metropolitan case study locations as well as a system dynamics model that considers interactions among infrastructure systems, characterizes measures of resilience and sustainability, and feeds these back to the agent-based model. A cross-scale spatial optimization model for understanding and characterizing the possible best case outcomes and for informing the design of policies and incentive/disincentive programs is also included. This framework is able to provide a robust capacity for considering the ways in which future development of energy and water resources can be assessed.http://www.mdpi.com/2071-1050/10/6/1845infrastructure interdependencechoice experimentagent-based modelingsystem dynamics modelingspatial optimizationdecentralization |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Weiwei Mo Zhongming Lu Bistra Dilkina Kevin H. Gardner Ju-Chin Huang Maria Christina Foreman |
spellingShingle |
Weiwei Mo Zhongming Lu Bistra Dilkina Kevin H. Gardner Ju-Chin Huang Maria Christina Foreman Sustainable and Resilient Design of Interdependent Water and Energy Systems: A Conceptual Modeling Framework for Tackling Complexities at the Infrastructure-Human-Resource Nexus Sustainability infrastructure interdependence choice experiment agent-based modeling system dynamics modeling spatial optimization decentralization |
author_facet |
Weiwei Mo Zhongming Lu Bistra Dilkina Kevin H. Gardner Ju-Chin Huang Maria Christina Foreman |
author_sort |
Weiwei Mo |
title |
Sustainable and Resilient Design of Interdependent Water and Energy Systems: A Conceptual Modeling Framework for Tackling Complexities at the Infrastructure-Human-Resource Nexus |
title_short |
Sustainable and Resilient Design of Interdependent Water and Energy Systems: A Conceptual Modeling Framework for Tackling Complexities at the Infrastructure-Human-Resource Nexus |
title_full |
Sustainable and Resilient Design of Interdependent Water and Energy Systems: A Conceptual Modeling Framework for Tackling Complexities at the Infrastructure-Human-Resource Nexus |
title_fullStr |
Sustainable and Resilient Design of Interdependent Water and Energy Systems: A Conceptual Modeling Framework for Tackling Complexities at the Infrastructure-Human-Resource Nexus |
title_full_unstemmed |
Sustainable and Resilient Design of Interdependent Water and Energy Systems: A Conceptual Modeling Framework for Tackling Complexities at the Infrastructure-Human-Resource Nexus |
title_sort |
sustainable and resilient design of interdependent water and energy systems: a conceptual modeling framework for tackling complexities at the infrastructure-human-resource nexus |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2018-06-01 |
description |
A modeling framework was conceptualized for capturing the complexities in resilience and sustainability associated with integration of centralized and decentralized water and energy systems under future demographic, climate, and technology scenarios. This framework integrates survey instruments for characterizing individual preferences (utility functions) related to decentralization of water and energy infrastructure systems. It also includes a spatial agent-based model to develop spatially explicit adoption trajectories and patterns in accordance with utility functions and characteristics of the major metropolitan case study locations as well as a system dynamics model that considers interactions among infrastructure systems, characterizes measures of resilience and sustainability, and feeds these back to the agent-based model. A cross-scale spatial optimization model for understanding and characterizing the possible best case outcomes and for informing the design of policies and incentive/disincentive programs is also included. This framework is able to provide a robust capacity for considering the ways in which future development of energy and water resources can be assessed. |
topic |
infrastructure interdependence choice experiment agent-based modeling system dynamics modeling spatial optimization decentralization |
url |
http://www.mdpi.com/2071-1050/10/6/1845 |
work_keys_str_mv |
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