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CERF – A Geospatial Model for Assessing Future Energy Production Technology Expansion Feasibility

Journal Article · · Journal of Open Research Software
DOI:https://doi.org/10.5334/jors.227· OSTI ID:1508150

Electricity system expansion planning faces significant challenges not only because of commonly modeled uncertainties such as future demand growth, fuel prices, and technology cost and performance, but also because of challenges such as climate change and carbon policies that can affect supply and demand. Changes in energy technology, natural resource availability, and population migration and growth will affect the feasibility of power plant siting, potentially hindering the achievement of policy goals. New modeling approaches are needed that couple future projections of energy system expansion with “on the ground” feasibility modeling—where both are informed by a consistent set of assumptions about future climate trends, resource availability, climate policy, socioeconomics, and environmental regulations. This research describes the development and evaluation of the Capacity Expansion Regional Feasibility (CERF) model, a geospatial tool for scenario analysis of electricity system expansions.

Research Organization:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
AC05-76RL01830
OSTI ID:
1508150
Report Number(s):
PNNL-SA-125186
Journal Information:
Journal of Open Research Software, Journal Name: Journal of Open Research Software Vol. 6; ISSN 2049-9647
Publisher:
Software Sustainability Institute
Country of Publication:
United States
Language:
English

References (4)

One-way coupling of an integrated assessment model and a water resources model: evaluation and implications of future changes over the US Midwest journal January 2013
An integrated assessment of climate change and the accelerated introduction of advanced energy technologies: An application of MiniCAM 1.0 journal January 1997
System for Automated Geoscientific Analyses (SAGA) v. 2.1.4 journal January 2015
On an improved sub-regional water resources management representation for integration into earth system models journal January 2013

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