skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Adapting Existing Energy Planning, Simulation, and Operational Models for Resilience Analysis

Abstract

Resilience is a topic receiving much attention in relation to energy systems, with particular attention being paid to the supply of electricity. As a result, research communities have proposed a plethora of candidate indicators and metrics for resilience, most of which remain immature at different scales and segments within the energy system. Given the complexity of resilience analyses and mitigation strategies, there is limited value in attempting to identify a single resilience metric, as no one metric can quantify resilience or its associated value for all stakeholders. Instead, a necessary focus of the research community should lie in implementing, testing, and validating resilience metrics and analysis approaches in energy sector models, which will be invaluable for informing resilience planning and investment decisions. Recognizing that implementing, testing, and validating resilience metrics are challenges that need to be addressed, the National Renewable Energy Laboratory (NREL) dedicated staff and time to researching how to effectively integrate resilience considerations into energy sector models and tools, as part of the Laboratory Directed Research and Development (LDRD) program. The overarching goal of the effort was to evaluate the data needs, methodologies, and outcomes - including consequences and/or changes in investment or operational decisions due to avoidedmore » consequences - based on resilience analysis in a range of existing tools. In particular, we selected five models originally built at NREL to explore non-resilience energy research questions to implement and exercise resilience metrics and analysis approaches.« less

Authors:
 [1];  [1]; ORCiD logo [1];  [1];  [1];  [1];  [1]; ORCiD logo [1];  [1]; ORCiD logo [1]
  1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE National Renewable Energy Laboratory (NREL), Laboratory Directed Research and Development (LDRD) Program
OSTI Identifier:
1602705
Report Number(s):
NREL/TP-6A20-74241
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
29 ENERGY PLANNING, POLICY, AND ECONOMY; resilience; value of resilience; metrics; energy systems

Citation Formats

Murphy, Caitlin, Hotchkiss, Elizabeth L, Anderson, Katherine H, Barrows, Clayton P, Cohen, Stuart M, Dalvi, Sourabh, Laws, Nicholas D, Maguire, Jeffrey B, Stephen, Gordon W, and Wilson, Eric J. Adapting Existing Energy Planning, Simulation, and Operational Models for Resilience Analysis. United States: N. p., 2020. Web. doi:10.2172/1602705.
Murphy, Caitlin, Hotchkiss, Elizabeth L, Anderson, Katherine H, Barrows, Clayton P, Cohen, Stuart M, Dalvi, Sourabh, Laws, Nicholas D, Maguire, Jeffrey B, Stephen, Gordon W, & Wilson, Eric J. Adapting Existing Energy Planning, Simulation, and Operational Models for Resilience Analysis. United States. doi:10.2172/1602705.
Murphy, Caitlin, Hotchkiss, Elizabeth L, Anderson, Katherine H, Barrows, Clayton P, Cohen, Stuart M, Dalvi, Sourabh, Laws, Nicholas D, Maguire, Jeffrey B, Stephen, Gordon W, and Wilson, Eric J. Tue . "Adapting Existing Energy Planning, Simulation, and Operational Models for Resilience Analysis". United States. doi:10.2172/1602705. https://www.osti.gov/servlets/purl/1602705.
@article{osti_1602705,
title = {Adapting Existing Energy Planning, Simulation, and Operational Models for Resilience Analysis},
author = {Murphy, Caitlin and Hotchkiss, Elizabeth L and Anderson, Katherine H and Barrows, Clayton P and Cohen, Stuart M and Dalvi, Sourabh and Laws, Nicholas D and Maguire, Jeffrey B and Stephen, Gordon W and Wilson, Eric J},
abstractNote = {Resilience is a topic receiving much attention in relation to energy systems, with particular attention being paid to the supply of electricity. As a result, research communities have proposed a plethora of candidate indicators and metrics for resilience, most of which remain immature at different scales and segments within the energy system. Given the complexity of resilience analyses and mitigation strategies, there is limited value in attempting to identify a single resilience metric, as no one metric can quantify resilience or its associated value for all stakeholders. Instead, a necessary focus of the research community should lie in implementing, testing, and validating resilience metrics and analysis approaches in energy sector models, which will be invaluable for informing resilience planning and investment decisions. Recognizing that implementing, testing, and validating resilience metrics are challenges that need to be addressed, the National Renewable Energy Laboratory (NREL) dedicated staff and time to researching how to effectively integrate resilience considerations into energy sector models and tools, as part of the Laboratory Directed Research and Development (LDRD) program. The overarching goal of the effort was to evaluate the data needs, methodologies, and outcomes - including consequences and/or changes in investment or operational decisions due to avoided consequences - based on resilience analysis in a range of existing tools. In particular, we selected five models originally built at NREL to explore non-resilience energy research questions to implement and exercise resilience metrics and analysis approaches.},
doi = {10.2172/1602705},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {2}
}

Technical Report:

Save / Share: