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Title: Lessons from a large-scale systems dynamics modeling project: the example of the biomass scenario model

Abstract

The biomass scenario model (BSM) is a dynamic model of the biomass-to-biofuels supply chain in the U.S.A., developed during a multi-year analysis effort conducted by the National Renewable Energy Laboratory (NREL), under sponsorship from the United States Department of Energy (DOE) Bioenergy Technologies Office (BETO). The BSM project, which received the 2018 Applications Award by the International System Dynamics Society, has supported collaborative analyses, developed scenarios for industry development and facilitated stakeholder engagement. We summarize insights gained from the BSM project that may be useful to other large-scale dynamic modeling efforts. We summarize the project focus, the analysis process, key outcomes and observations on successful execution of such a product. Key points include the value of a multidisciplinary team with clear roles, engagement of experts and stakeholders, and use and reuse of simple, modular structures. As a result, the overall effort suggests that these practices may aid long-term, team-focused, multi-stakeholder modeling efforts.

Authors:
 [1];  [2];  [2];  [2];  [2];  [3];  [2]
  1. Peterson Group (United States)
  2. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  3. Lexidyne LLC, Colorado Springs, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1506945
Alternate Identifier(s):
OSTI ID: 1503916
Report Number(s):
NREL/JA-6A20-72627
Journal ID: ISSN 0883-7066
Grant/Contract Number:  
AC36-08GO28308; AC36‐08GO28308
Resource Type:
Accepted Manuscript
Journal Name:
System Dynamics Review
Additional Journal Information:
Journal Volume: 35; Journal Issue: 1; Journal ID: ISSN 0883-7066
Country of Publication:
United States
Language:
English
Subject:
29 ENERGY PLANNING, POLICY, AND ECONOMY; system dynamics; simulation; biomass scenario model

Citation Formats

Peterson, Steve, Bush, Brian, Inman, Daniel, Newes, Emily, Schwab, Amy, Stright, Dana, and Vimmerstedt, Laura. Lessons from a large-scale systems dynamics modeling project: the example of the biomass scenario model. United States: N. p., 2019. Web. doi:10.1002/sdr.1620.
Peterson, Steve, Bush, Brian, Inman, Daniel, Newes, Emily, Schwab, Amy, Stright, Dana, & Vimmerstedt, Laura. Lessons from a large-scale systems dynamics modeling project: the example of the biomass scenario model. United States. doi:10.1002/sdr.1620.
Peterson, Steve, Bush, Brian, Inman, Daniel, Newes, Emily, Schwab, Amy, Stright, Dana, and Vimmerstedt, Laura. Thu . "Lessons from a large-scale systems dynamics modeling project: the example of the biomass scenario model". United States. doi:10.1002/sdr.1620.
@article{osti_1506945,
title = {Lessons from a large-scale systems dynamics modeling project: the example of the biomass scenario model},
author = {Peterson, Steve and Bush, Brian and Inman, Daniel and Newes, Emily and Schwab, Amy and Stright, Dana and Vimmerstedt, Laura},
abstractNote = {The biomass scenario model (BSM) is a dynamic model of the biomass-to-biofuels supply chain in the U.S.A., developed during a multi-year analysis effort conducted by the National Renewable Energy Laboratory (NREL), under sponsorship from the United States Department of Energy (DOE) Bioenergy Technologies Office (BETO). The BSM project, which received the 2018 Applications Award by the International System Dynamics Society, has supported collaborative analyses, developed scenarios for industry development and facilitated stakeholder engagement. We summarize insights gained from the BSM project that may be useful to other large-scale dynamic modeling efforts. We summarize the project focus, the analysis process, key outcomes and observations on successful execution of such a product. Key points include the value of a multidisciplinary team with clear roles, engagement of experts and stakeholders, and use and reuse of simple, modular structures. As a result, the overall effort suggests that these practices may aid long-term, team-focused, multi-stakeholder modeling efforts.},
doi = {10.1002/sdr.1620},
journal = {System Dynamics Review},
number = 1,
volume = 35,
place = {United States},
year = {2019},
month = {3}
}

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