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

Abstract

The Capacity Expansion Regional Feasibility (CERF) model is an open-source geospatial model, written in Python and C++, that is designed to determine the on-the-ground feasibility of achieving a projected energy technology expansion plan. Integrated assessment models and grid expansion models typically do not have sufficient spatial, temporal, or process-level resolution to account for technology-specific siting considerations—for example, the value or costs of connecting a new power plant to the electric grid at a particular location or whether there is sufficient cooling water to support the installation of thermal power plants in a certain region. CERF was developed to specifically examine where power plant locations can be feasibly sited when considering high spatial resolution siting suitability data as well as the net locational costs (i.e., considering both net operating value and interconnection costs), at a spatial resolution of 1 km2. The outputs from CERF can provide insight into factors that influence energy system resilience under a variety of future scenarios, can be used to refine model-based projections, and can also be useful for capacity expansion planning exercises. CERF is open-source and publicly available via GitHub.

Authors:
ORCiD logo; ; ; ; ; ; ; ; ; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1508149
Report Number(s):
PNNL-SA-133523
Journal ID: ISSN 2049-9647
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Journal Name:
Journal of Open Research Software
Additional Journal Information:
Journal Volume: 6; Journal Issue: 1; Journal ID: ISSN 2049-9647
Publisher:
Software Sustainability Institute
Country of Publication:
United States
Language:
English
Subject:
IM3, CERF, power plant siting, Python, GIS, Geospatial

Citation Formats

Vernon, Chris R., Zuljevic, Nino, Rice, Jennie S., Seiple, Timothy E., Kintner-Meyer, Michael C. W., Voisin, Nathalie, Kraucunas, Ian P., Chunlian, Jin, Olson, Jarrod, Schmidt, Laurel, Morris, Scott L., and Patel, Pralit. CERF – A Geospatial Model for Assessing Future Energy Production Technology Expansion Feasibility. United States: N. p., 2018. Web. doi:10.5334/jors.227.
Vernon, Chris R., Zuljevic, Nino, Rice, Jennie S., Seiple, Timothy E., Kintner-Meyer, Michael C. W., Voisin, Nathalie, Kraucunas, Ian P., Chunlian, Jin, Olson, Jarrod, Schmidt, Laurel, Morris, Scott L., & Patel, Pralit. CERF – A Geospatial Model for Assessing Future Energy Production Technology Expansion Feasibility. United States. doi:10.5334/jors.227.
Vernon, Chris R., Zuljevic, Nino, Rice, Jennie S., Seiple, Timothy E., Kintner-Meyer, Michael C. W., Voisin, Nathalie, Kraucunas, Ian P., Chunlian, Jin, Olson, Jarrod, Schmidt, Laurel, Morris, Scott L., and Patel, Pralit. Mon . "CERF – A Geospatial Model for Assessing Future Energy Production Technology Expansion Feasibility". United States. doi:10.5334/jors.227.
@article{osti_1508149,
title = {CERF – A Geospatial Model for Assessing Future Energy Production Technology Expansion Feasibility},
author = {Vernon, Chris R. and Zuljevic, Nino and Rice, Jennie S. and Seiple, Timothy E. and Kintner-Meyer, Michael C. W. and Voisin, Nathalie and Kraucunas, Ian P. and Chunlian, Jin and Olson, Jarrod and Schmidt, Laurel and Morris, Scott L. and Patel, Pralit},
abstractNote = {The Capacity Expansion Regional Feasibility (CERF) model is an open-source geospatial model, written in Python and C++, that is designed to determine the on-the-ground feasibility of achieving a projected energy technology expansion plan. Integrated assessment models and grid expansion models typically do not have sufficient spatial, temporal, or process-level resolution to account for technology-specific siting considerations—for example, the value or costs of connecting a new power plant to the electric grid at a particular location or whether there is sufficient cooling water to support the installation of thermal power plants in a certain region. CERF was developed to specifically examine where power plant locations can be feasibly sited when considering high spatial resolution siting suitability data as well as the net locational costs (i.e., considering both net operating value and interconnection costs), at a spatial resolution of 1 km2. The outputs from CERF can provide insight into factors that influence energy system resilience under a variety of future scenarios, can be used to refine model-based projections, and can also be useful for capacity expansion planning exercises. CERF is open-source and publicly available via GitHub.},
doi = {10.5334/jors.227},
journal = {Journal of Open Research Software},
issn = {2049-9647},
number = 1,
volume = 6,
place = {United States},
year = {2018},
month = {1}
}

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