NRAP-open-IAM: A flexible open-source integrated-assessment-model for geologic carbon storage risk assessment and management
- National Energy Technology Lab. (NETL), Pittsburgh, PA (United States); National Energy Technology Lab. (NETL), Pittsburgh, PA (United States). NETL Support Contractor
- National Energy Technology Lab. (NETL), Pittsburgh, PA (United States)
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States). Energy and Environment Directorate
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Large-scale implementation of geologic carbon storage (GCS) to help reduce atmospheric greenhouse gas emissions requires stakeholder confidence that injected CO2 will remain contained and that potential subsurface environmental risks are acceptably small and manageable. The U.S. Department of Energy’s National Risk Assessment Partnership (NRAP) has developed an open-source integrated assessment model (NRAP-Open-IAM) to help address questions about a potential GCS site’s ability to effectively contain injected CO2 and protect groundwater and other overlying environmentally sensitive receptors. NRAP-Open-IAM allows a user to: (1) incorporate relevant site geologic and injection scenario data; (2) characterize important site features and events;(3) couple fast prediction models of various system components of the engineered geologic system; and (4) execute stochastic, dynamic simulation of whole GCS system performance, leakage risk assessment, and uncertainty quantification. NRAP-Open-IAM is available on GitLab (https://gitlab.com/NRAP/OpenIAM), and is accompanied by multiple application examples and detailed user and developer guides.
- Research Organization:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE Office of Fossil Energy (FE)
- Grant/Contract Number:
- AC05-76RL01830
- OSTI ID:
- 1812730
- Alternate ID(s):
- OSTI ID: 1805078
- Report Number(s):
- PNNL-SA-163443
- Journal Information:
- Environmental Modelling and Software, Vol. 143; ISSN 1364-8152
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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