wiki.openmod-initiative.org - New pages [en]

Hamburg University of Applied Sciences

2025-10-27T18:17:52Z

Admin:

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Heat4Future

2025-10-27T18:17:52Z

Pablo Benalcazar: Created page with "{{Model |Full_Model_Name=Heat4Future |Acronym=Heat4Future |author_institution=Hamburg University of Applied Sciences |authors=Nina Kicherer, Pablo Benalcazar, Peter Lorenzen, ..."

{{Model
|Full_Model_Name=Heat4Future
|Acronym=Heat4Future
|author_institution=Hamburg University of Applied Sciences
|authors=Nina Kicherer, Pablo Benalcazar, Peter Lorenzen, Olessya Kozlenko, Sadi Tomtulu, Jan Trosdorff
|contact_persons=Nina Kicherer, Pablo Benalcazar
|contact_email=benalcazar@min-pan.krakow.pl
|source_download=https://gitlab.com/c4dht/strategic-heat-planning-project
|open_source_licensed=Yes
|license=MIT license (MIT)
|model_source_public=Yes
|Link to source=https://gitlab.com/c4dht/strategic-heat-planning-project
|data_availability=some
|open_future=No
|modelling_software=Python
|processing_software=Python
|GUI=No
|model_class=district heating system planning
|sectors=district heating, Heat,
|technologies=Renewables, CHP
|Demand sectors=Other
|Energy carriers (Solid)=Biomass
|Energy carriers (Renewable)=Geothermal heat, Sun
|Storage (Gas)=No
|Storage (Heat)=Yes
|decisions=dispatch
|timeresolution=Hour
|Observation period=Less than one year
|math_modeltype=Simulation
|is_suited_for_many_scenarios=No
|montecarlo=No
|citation_doi=https://doi.org/10.1016/j.mex.2025.103222
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

World Resources Institute

2025-09-23T13:08:47Z

Admin:

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Energy Access Explorer (EAE)

2025-09-23T13:08:46Z

Dimitrios Mentis: Created page with "{{Model |Full_Model_Name=Energy Access Explorer |Acronym=EAE |author_institution=World Resources Institute |authors=Dimitrios Mentis, Davida Wood, Bharath Jairaj, Santiago Sin..."

{{Model
|Full_Model_Name=Energy Access Explorer
|Acronym=EAE
|author_institution=World Resources Institute
|authors=Dimitrios Mentis, Davida Wood, Bharath Jairaj, Santiago Sinclair Lecaros, Douglas Ronoh, Akansha Saklani, Santiago Sinclair Lecaros, Alemayehu Agizew, Abdul Khalid, Shikha Anand,Lily Odarno, Fabian Jendle, Elise Mazur, Anila Qehaja, Francis Gassert,
|contact_persons=Dimitrios Mentis
|contact_email=dimitrios.mentis@wri.org
|website=https://www.energyaccessexplorer.org/
|source_download=https://github.com/energyaccessexplorer
|logo=EAE Logo Compact RGB.png
|text_description=WRI, in collaboration with over 300 partners, has developed the Energy Access Explorer (EAE), the World’s First Digital Public Good to deliver climate compatible energy transitions for everyone. EAE takes a data-informed, integrated, and inclusive approach to achieving universal energy access, supporting equitable socio-economic development. EAE provides governments, businesses, and financiers with a transparent, interactive, geospatial platform to visualize and analyze high-priority areas for energy interventions in Africa and South Asia. EAE functions also as a dynamic information system, reducing software engineering and data transaction costs for both data providers and users and facilitating data management and governance.
|Primary outputs=High resolution Priority areas for energy interventions
|User documentation=https://www.open.edu/openlearncreate/course/view.php?id=13664
|Code documentation=https://github.com/energyaccessexplorer
|Source of funding=Philanthropic resources, Governments
|Number of developers=1
|Number of users=>35,000
|open_source_licensed=Yes
|license=MIT license (MIT)
|model_source_public=Yes
|Link to source=https://github.com/energyaccessexplorer
|data_availability=some
|open_future=No
|modelling_software=https://github.com/energyaccessexplorer
|processing_software=https://github.com/energyaccessexplorer
|GUI=No
|technologies=Renewables
|Demand sectors=Households
|Energy carriers (Solid)=Biomass
|Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind
|Transfer (Electricity)=Distribution, Transmission
|Storage (Gas)=No
|Storage (Heat)=No
|decisions=investment
|georegions=Africa, Asia
|georesolution=1 km
|timeresolution=Multi year
|Additional dimensions (Economical)=Productive Uses of Renewable Energy
|Additional dimensions (Social)=Health and Education Facilities Electrification
|math_modeltype=Other
|math_modeltype_shortdesc=Multicriteria Decision Analytical Algorithm
|math_objective=Priority areas for energy interventions
|is_suited_for_many_scenarios=No
|number_of_variables=50-100
|montecarlo=No
|citation_references=https://www.energyaccessexplorer.org/attribution/
|report_references=Technical Note: Energy Access Explorer: Data and Methods
|example_research_questions=Integrated and Inclusive Energy Planning:
Where are the underserved communities that can be prioritized for electrification through grid, mini-grid, or standalone systems?

Market Intelligence:
Which geographic areas show the highest potential customer base for off-grid solar and mini-grid deployment?

Clean Cooking:
Where are households and institutions most dependent on polluting fuels, and how can clean cooking solutions be targeted to them?

Impact Investment:
Which regions offer the greatest social and economic return on investment for energy access interventions?

Productive Uses of Renewable Energy (PURE):
Where can renewable energy most effectively power agriculture, small enterprises, and local value chains?

Health and Education Electrification:
Which health and education facilities lack reliable electricity, and what clean energy options are best suited for them?

|Integrated models=Linked with OnSSET and OnStove
|Interfaces=https://www.energyaccessexplorer.org/
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

Sienna

2025-09-23T00:43:17Z

Clayton Barrows: Created page with "{{Model |Full_Model_Name=Sienna |author_institution=NREL |authors=Clayton Barrows, Jose-Daniel Lara, Kate Doubleday, Rodrigo Henriquez-Auba, Matt Bossart, Gabriel Konar-Steenb..."

{{Model
|Full_Model_Name=Sienna
|author_institution=NREL
|authors=Clayton Barrows, Jose-Daniel Lara, Kate Doubleday, Rodrigo Henriquez-Auba, Matt Bossart, Gabriel Konar-Steenberg
|contact_persons=Clayton Barrows
|contact_email=mailto:clayton.barrows@nrel.gov
|website=https://nrel-sienna.github.io/Sienna/#
|source_download=https://github.com/nrel-sienna
|logo=Sienna-logo.png
|text_description=The most advanced power systems modeling platform ever built
|Support=https://join.slack.com/t/nrel-sienna/shared_invite/zt-1lyt10wio-y3yV_yug3F68vLau27gUzA
|Framework=https://nrel-sienna.github.io/Sienna/#
|User documentation=https://nrel-sienna.github.io/Sienna/SiennaDocs/docs/build/index.html
|Code documentation=https://nrel-sienna.github.io/Sienna/SiennaDocs/docs/build/index.html
|Number of developers=36
|Number of users=1000
|open_source_licensed=Yes
|license=BSD 3-Clause "New" or "Revised" License (BSD-3-Clause)
|model_source_public=Yes
|open_future=No
|modelling_software=Julia
|processing_software=Julia
|GUI=No
|model_class=Production Cost, Capacity Expansion, Dynamics
|sectors=Electricity,
|technologies=Renewables, Conventional Generation, CHP
|Transfer (Electricity)=Transmission
|Storage (Electricity)=Battery, PHS
|Storage (Gas)=No
|Storage (Heat)=No
|User behaviour=command line
|Market models=any
|decisions=dispatch, investment
|georegions=any
|georesolution=any
|timeresolution=Multi year
|network_coverage=transmission, AC load flow, DC load flow, net transfer capacities
|Observation period=Less than one month, Less than one year, More than one year
|math_modeltype=Optimization, Simulation, Other
|math_modeltype_shortdesc=Supports optimization based expansion and operational simulations, and transient simulations with differential-algebraic equations and forward differentiation.
|is_suited_for_many_scenarios=No
|montecarlo=No
|Integrated models=PowerSimulations.jl, PowerSimulationsDynamics.jl
|Model input file format=Yes
|Model file format=Yes
|Model output file format=Yes
}}

ZEN-garden

2025-04-23T09:02:47Z

Nour Boulos:

{{Model
|Full_Model_Name=Zero-emissions Energy Networks
|Acronym=ZEN-garden
|author_institution=ETH Zürich
|authors=Jacob Mannhardt, Alissa Ganter, Lukas Kunz, Lukas Schmidt-Engelbertz, Janis Fluri, Vinzenz Muser, Johannes Burger, Francesco De Marco, Christoph Funke, Nour Boulos, Paolo Gabrielli, Giovanni Sansavini
|contact_persons=ZEN-garden team
|contact_email=zen-garden@ethz.ch
|website=https://linktr.ee/zengarden_
|logo=Zen garden logo text.png
|text_description=ZEN-garden is an open-source linear optimization model of long-term energy system transition pathways. ZEN-garden, with a modular and flexible design, can be used to optimize different types of energy systems, value chains, or other network-based systems. ZEN-garden particularly provides a detailed description of transition pathways with, among other features, cumulative or annual carbon limits, capacity expansion constraints, and construction years. Data handling is user-oriented with features covering unit consistency, scaling, and parallelizable scenario analysis. Results output by ZEN-garden are investigated on an intuitive and flexible visualization platform.
|Primary outputs=Energy systems transition pathways
|User documentation=https://zen-garden.readthedocs.io/en/latest/
|Code documentation=https://github.com/ZEN-universe/ZEN-garden
|open_source_licensed=Yes
|license=MIT license (MIT)
|model_source_public=Yes
|Link to source=https://github.com/ZEN-universe/ZEN-garden
|data_availability=some
|open_future=No
|modelling_software=Python
|GUI=No
|model_class=Framework,
|sectors=All,
|technologies=Renewables, Conventional Generation, CHP
|Demand sectors=Households, Industry, Transport, Commercial sector, Other
|Energy carrier (Gas)=Natural gas, Biogas, Hydrogen
|Energy carrier (Liquid)=Diesel, Ethanol, Petrol
|Energy carriers (Solid)=Biomass, Coal, Lignite, Uranium
|Energy carriers (Renewable)=Geothermal heat, Hydro, Sun, Wind
|Transfer (Electricity)=Distribution, Transmission
|Transfer (Gas)=Distribution, Transmission
|Transfer (Heat)=Distribution, Transmission
|Storage (Electricity)=Battery, CAES, Chemical, Kinetic, PHS
|Storage (Gas)=Yes
|Storage (Heat)=Yes
|decisions=dispatch, investment
|georegions=All
|georesolution=Node
|timeresolution=Hour
|network_coverage=transmission, distribution, DC load flow
|math_modeltype=Optimization
|math_objective=Minimize net-present costs or minimize carbon emissions
|deterministic=Scenario Analysis (Deterministic)
|is_suited_for_many_scenarios=Yes
|montecarlo=No
|citation_references=Mannhardt, J., Ganter, A., Burger, J., De Marco, F., Kunz, L., Schmidt-Engelbertz, L., Gabrielli, P., & Sansavini, G. (2025). ZEN-garden: Optimizing energy transition pathways with user-oriented data handling. SoftwareX, 29, 102059. DOI:10.1016/j.softx.2025.102059
|citation_doi=https://doi.org/10.1016/j.softx.2025.102059
|report_references=Mannhardt, J., Gabrielli, P., & Sansavini, G. (2024). Understanding the vicious cycle of myopic foresight and constrained technology deployment in transforming the European energy system. iScience, 27(12), 111369. https://doi.org/10.1016/j.isci.2024.111369

Mannhardt, J., Gabrielli, P., & Sansavini, G. (2023). Collaborative and selfish mitigation strategies to tackle energy scarcity: The case of the European gas crisis. iScience, 26(5), 106750. https://doi.org/10.1016/j.isci.2023.106750

Ganter, A., Lonergan, K. E., Büchi, H. M., & Sansavini, G. (2024). Shifting to low-carbon hydrogen production supports job creation but does not guarantee a just transition. One Earth, 7(11), 1981–1993. https://doi.org/10.1016/j.oneear.2024.10.009

Ganter, A., Gabrielli, P., & Sansavini, G. (2024). Near-term infrastructure rollout and investment strategies for net-zero hydrogen supply chains. Renewable and Sustainable Energy Reviews, 194, 114314. https://doi.org/10.1016/j.rser.2024.114314
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

Utrecht Univeristy

2025-04-02T12:32:24Z

Admin:

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AdOpT-NET0

2025-04-02T12:32:23Z

Matteo Massera:

{{Model
|Full_Model_Name=Advanced Optimization Tool for Networks and Energy
|Acronym=AdOpT-NET0
|author_institution=Utrecht Univeristy
|authors=Jan F. Wiegner, Julia L. Tiggeloven, Luca Bertoni, Inge M. Ossentjuk, Matteo Gazzani
|contact_persons=Jan F. Wiegner, Matteo Gazzani
|contact_email=j.f.wiegner@uu.nl
|website=https://adopt-net0.readthedocs.io/en/latest/
|source_download=https://github.com/UU-ER/AdOpT-NET0
|logo=Adopt_fulllogo@4x-100.jpg
|text_description=AdOpT-NET0 is a Python Library for bottom-up multi energy system modelling. It can model conversion technologies and networks for any carrier and optimize the design and operation of your energy system.
|User documentation=https://adopt-net0.readthedocs.io/en/latest/
|open_source_licensed=Yes
|license=MIT license (MIT)
|model_source_public=Yes
|Link to source=https://github.com/UU-ER/AdOpT-NET0
|data_availability=some
|open_future=No
|modelling_software=Python (Pyomo)
|External optimizer=Pyomo compatible solvers
|Additional software=Pyomo compatible solvers
|GUI=No
|model_class=Multi Energy System Model
|Storage (Gas)=No
|Storage (Heat)=No
|decisions=dispatch, investment
|georegions=User dependent
|georesolution=User dependent
|timeresolution=Hour
|Observation period=More than one year
|math_modeltype=Optimization
|math_modeltype_shortdesc=MILP, LP
|math_objective=Cost minimization; emission minimization; user defined
|deterministic=Monte carlo
|is_suited_for_many_scenarios=Yes
|montecarlo=Yes
|citation_references=Wiegner et al., (2025). AdOpT-NET0: A technology-focused Python package for the optimization of multi-energy systems. Journal of Open Source Software, 10(106), 7402
|citation_doi=https://doi.org/10.21105/joss.07402
|report_references=Wiegner, J. F., Gibescu, M., & Gazzani, M. (forthcoming). Unleashing the full potential of the north sea – identifying key energy infrastructure synergies for 2030 and 2040. Forthcoming.
https://doi.org/10.48550/arXiv.2411.00540

Tiggeloven, J. L., Faaij, A. P. C., Kramer, G. J., & Gazzani, M. (2025). Optimizing emissions
reduction in ammonia-ethylene chemical clusters: Synergistic integration of electrification,
carbon capture, and hydrogen. Industrial and Engineering Chemistry Research. https://doi.org/10.1021/acs.iecr.4c03817

Tiggeloven, J. L., Faaij, A. P. C., Kramer, G. J., & Gazzani, M. (2023). Optimization of
electric ethylene production: Exploring the role of cracker flexibility, batteries, and renewable
energy integration. Industrial and Engineering Chemistry Research, 62(40), 16360–16382.
https://doi.org/10.1021/ACS.IECR.3C02226

Wiegner, J. F., Grimm, A., Weimann, L., & Gazzani, M. (2022). Optimal design and operation
of solid sorbent direct air capture processes at varying ambient conditions. Industrial &
Engineering Chemistry Research, 61(34), 12649–12667. https://doi.org/10.1021/acs.iecr.2c00681
|Model input file format=No
|Model file format=No
|Model output file format=No
}}