982 XXXI International Mineral Processing Congress 2024 Proceedings/Washington, DC/Sep 29–Oct 3
and the expertise of the project team. A focus was placed
on unconventional feedstocks (i.e., not traditional ores)
based on DOE research priorities, inclusive of coal-related
feedstocks (refuse and ash), brines, acid mine drainage,
phosphates and gypsum, and recycled or end-of-life com-
ponents (e.g., magnets and batteries).
The team also identified several areas where existing
IDAES-IP capabilities could be leveraged for CMM sys-
tems. These were explored in parallel with development of
the modeling framework.
Framework Development
The following approach was used to prioritize unit and
property model library (i.e., framework) development
efforts:
1. Identify potential case studies and relevant CMM
processing flowsheets which were relevant to
FECM and CMI programs, particularly those at or
entering the pilot- or demonstration-scale devel-
opment stage
2. Review flowsheets to identify common (broad
applicability) and critical (necessary for PrOMMiS
to have represented) unit operations
3. Perform literature review of identified flowsheets
and unit operations to prioritize model develop-
ment based on availability of data, ease of mod-
eling, adaptability from existing IDAES-CMF
libraries, and similar criteria
4. Identify thermophysical property model needs,
assesses compatibility of existing IDAES-CMF
libraries, and review applicability of open-source
and proprietary libraries
5. Identify other challenges related to adapting
IDAES-CMF to modeling CMM systems
6. Perform gap analysis using the above informa-
tion to inform choice of first process flowsheet to
implement as a case study
Costing model library development was viewed as second-
ary to unit and property library data. The capital cost esti-
mation approach leveraged was based on standard National
Energy Technology Laboratory (NETL) cost estimating
methodologies and libraries. (Theis, 2021)
Leverage Existing Multiscale Modeling &Optimization
Capabilities from IDAES
In parallel to the development of model framework ele-
ments specific to CMM systems, the team identified several
areas where existing multiscale modeling and optimization
capabilities from the IDAES framework could be lever-
aged for CMM systems. Prior work by the team evaluating
the use of membrane systems in lithium-ion battery recy-
cling processes provided a unique opportunity to explore
(a) using superstructures for optimization-based flowsheet
screening, and (b) optimizing process designs to make them
more robust to uncertainty in operation, thereby reducing
operational risks (i.e., technical risk reduction (TRR)).
Prior work was limited to identification of new designs and
informing research targets, and did not leverage the full
capabilities of IDAES-CMF.
Follow Accepted Open-Source Software
Development Practices
Software development for energy and mining research can
all too often be focused on the creation of a set of pro-
grams or libraries to perform a specific function, with
Figure 1. PrOMMiS is focused on accelerating scale-up and deployment of innovative CM &REE processes, establishing a
toolkit to compress future RD3 timelines by leveraging IDAES and a decade of DOE CM &REE investment
and the expertise of the project team. A focus was placed
on unconventional feedstocks (i.e., not traditional ores)
based on DOE research priorities, inclusive of coal-related
feedstocks (refuse and ash), brines, acid mine drainage,
phosphates and gypsum, and recycled or end-of-life com-
ponents (e.g., magnets and batteries).
The team also identified several areas where existing
IDAES-IP capabilities could be leveraged for CMM sys-
tems. These were explored in parallel with development of
the modeling framework.
Framework Development
The following approach was used to prioritize unit and
property model library (i.e., framework) development
efforts:
1. Identify potential case studies and relevant CMM
processing flowsheets which were relevant to
FECM and CMI programs, particularly those at or
entering the pilot- or demonstration-scale devel-
opment stage
2. Review flowsheets to identify common (broad
applicability) and critical (necessary for PrOMMiS
to have represented) unit operations
3. Perform literature review of identified flowsheets
and unit operations to prioritize model develop-
ment based on availability of data, ease of mod-
eling, adaptability from existing IDAES-CMF
libraries, and similar criteria
4. Identify thermophysical property model needs,
assesses compatibility of existing IDAES-CMF
libraries, and review applicability of open-source
and proprietary libraries
5. Identify other challenges related to adapting
IDAES-CMF to modeling CMM systems
6. Perform gap analysis using the above informa-
tion to inform choice of first process flowsheet to
implement as a case study
Costing model library development was viewed as second-
ary to unit and property library data. The capital cost esti-
mation approach leveraged was based on standard National
Energy Technology Laboratory (NETL) cost estimating
methodologies and libraries. (Theis, 2021)
Leverage Existing Multiscale Modeling &Optimization
Capabilities from IDAES
In parallel to the development of model framework ele-
ments specific to CMM systems, the team identified several
areas where existing multiscale modeling and optimization
capabilities from the IDAES framework could be lever-
aged for CMM systems. Prior work by the team evaluating
the use of membrane systems in lithium-ion battery recy-
cling processes provided a unique opportunity to explore
(a) using superstructures for optimization-based flowsheet
screening, and (b) optimizing process designs to make them
more robust to uncertainty in operation, thereby reducing
operational risks (i.e., technical risk reduction (TRR)).
Prior work was limited to identification of new designs and
informing research targets, and did not leverage the full
capabilities of IDAES-CMF.
Follow Accepted Open-Source Software
Development Practices
Software development for energy and mining research can
all too often be focused on the creation of a set of pro-
grams or libraries to perform a specific function, with
Figure 1. PrOMMiS is focused on accelerating scale-up and deployment of innovative CM &REE processes, establishing a
toolkit to compress future RD3 timelines by leveraging IDAES and a decade of DOE CM &REE investment