Diederik Coppitters at 09:34, 20 December 2024

2024-12-20T09:34:00Z

Diederik Coppitters: Created page with "{{Model |Full_Model_Name=Robust design optimization of renewable Hydrogen and dErIved energy cArrier systems |Acronym=RHEIA |author_institution=UCLouvain |authors=Diederik Cop..."

2024-12-20T09:31:41Z

Created page with "{{Model |Full_Model_Name=Robust design optimization of renewable Hydrogen and dErIved energy cArrier systems |Acronym=RHEIA |author_institution=UCLouvain |authors=Diederik Cop..."

New page

{{Model
|Full_Model_Name=Robust design optimization of renewable Hydrogen and dErIved energy cArrier systems
|Acronym=RHEIA
|author_institution=UCLouvain
|authors=Diederik Coppitters, Panagiotis Tsirikoglou, Ward De Paepe, Konstantinos Kyprianidis, Anestis Kalfas, Francesco Contino
|contact_persons=Diederik Coppitters
|contact_email=diederik.coppitters@uclouvain.be
|website=https://rheia.readthedocs.io/en/latest/
|source_download=https://github.com/rheia-framework/RHEIA
|logo=Logo.svg
|text_description=The Robust design optimization of renewable Hydrogen and dErIved energy cArrier systems (RHEIA) framework provides multi-objective optimization (deterministic and stochastic) and uncertainty quantification algorithms. These algorithms can be applied on hydrogen-based energy systems, which are included in RHEIA. In addition, RHEIA allows to connect your own models to the algorithms as well.
|Primary outputs=Bridge uncertainty assessment and energy modelling
|User documentation=https://rheia.readthedocs.io/en/latest/
|Code documentation=https://rheia.readthedocs.io/en/latest/
|Source of funding=FNRS
|Number of developers=5
|Number of users=10
|open_source_licensed=Yes
|license=MIT license (MIT)
|model_source_public=Yes
|Link to source=https://github.com/rheia-framework/RHEIA
|data_availability=all
|open_future=No
|modelling_software=Python
|processing_software=Python
|GUI=No
|model_class=distributed energy systems, energy planning
|sectors=All
|technologies=Renewables
|Demand sectors=Households, Industry
|Energy carrier (Gas)=Hydrogen
|Energy carriers (Renewable)=Sun, Wind
|Storage (Gas)=No
|Storage (Heat)=No
|Additional dimensions (Other)=uncertainty
|math_modeltype=Optimization
|deterministic=probabilistic
|is_suited_for_many_scenarios=Yes
|montecarlo=No
|computation_time_minutes=minutes
|citation_references=Coppitters et al., (2022). RHEIA: Robust design optimization of renewable Hydrogen and dErIved energy cArrier systems. Journal of Open Source Software, 7(75), 4370
|citation_doi=doi.org/10.21105/joss.04370
|report_references=https://scholar.google.com/scholar?cites=14879586069709356648&as_sdt=2005&sciodt=0,5&hl=en
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

@@ Line 8: / Line 8: @@
 |website=https://rheia.readthedocs.io/en/latest/
 |source_download=https://github.com/rheia-framework/RHEIA
 |text_description=The Robust design optimization of renewable Hydrogen and dErIved energy cArrier systems (RHEIA) framework provides multi-objective optimization (deterministic and stochastic) and uncertainty quantification algorithms. These algorithms can be applied on hydrogen-based energy systems, which are included in RHEIA. In addition, RHEIA allows to connect your own models to the algorithms as well.
 |Primary outputs=Bridge uncertainty assessment and energy modelling

RHEIA - Revision history

Diederik Coppitters at 09:34, 20 December 2024

Diederik Coppitters: Created page with "{{Model |Full_Model_Name=Robust design optimization of renewable Hydrogen and dErIved energy cArrier systems |Acronym=RHEIA |author_institution=UCLouvain |authors=Diederik Cop..."