TIMES Évora
From wiki.openmod-initiative.org
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| | {{Model | | {{Model |
| − | |Full_Model_Name=Évora - | + | |Full_Model_Name=Évora - The Integrated MARKAL-EFOM System |
| | |Acronym=TIMES - Évora | | |Acronym=TIMES - Évora |
| | |author_institution=CENSE - NOVA University Lisbon | | |author_institution=CENSE - NOVA University Lisbon |
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| | |Storage (Gas)=No | | |Storage (Gas)=No |
| | |Storage (Heat)=No | | |Storage (Heat)=No |
| | + | |georegions=Évora (Portugal) |
| | + | |georesolution=Municipality |
| | + | |timeresolution=Seasonal |
| | |Additional dimensions (Ecological)=Greenhouse Gas Emissions | | |Additional dimensions (Ecological)=Greenhouse Gas Emissions |
| | |math_modeltype=Optimization | | |math_modeltype=Optimization |
Latest revision as of 10:57, 5 February 2018
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Évora - The Integrated MARKAL-EFOM System
by CENSE - NOVA University Lisbon
Authors:
Simoes, S., Dias, L.
Contact:
Sofia Simões
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The TIMES-Évora is a city specific energy system model, which comprehensively represent Évora municipality energy systems, focusing on energy use in residential and non-residential buildings, transport systems and other energy uses (e.g. public lighting, small-scale industry etc.). It also will represent the city waste chain and water and sewage systems in what concerns its energy consumption. The key objective of the model is the identification of an optimum mix of applicable measures and technologies that will pave the way towards the achievement of the cities’ sustainable targets.
Based on GAMS. Using for data processing.
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 Not Open Source
 Directly downloadable
No data shipped
Planned to open up further in the future
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| Model Scope |
Model type and solution approach |
| Model class
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Energy supply and demand
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| Sectors
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| Technologies
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Renewables, Conventional Generation, CHP
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| Decisions
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| Regions
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Évora (Portugal)
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| Geographic Resolution
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Municipality
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| Time resolution
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Seasonal
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| Network coverage
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| Model type
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Optimization
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| Variables
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| Computation time
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minutes
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| Objective
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Minimise total discounted cost of the energy system
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| Uncertainty modeling
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| Suited for many scenarios / monte-carlo
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No
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References
Scientific references
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