Model Factsheet

Overview / Landscape Ecological Assessment Tool (LEcA Tool)

Model Landscape Ecological Assessment Tool (LEcA Tool)

General Information
Name Landscape Ecological Assessment Tool
Acronym LEcA Tool
Methodical Focus None
Institution(s) KTH-LWR; KTH-SEED
Author(s) (institution, working field, active time period) Ulla Mörtberg, Xi Pang, Renats Trubins
Current contact person Ulla Mörtberg
Contact (e-mail) mortberg@kth.se
Website https://www.reeem.org/eca-tool/
Logo
Primary Purpose Integrated Impact Assessment including ecosystem services
Primary Outputs Joint assessment of five ecosystem service indices: bioenergy potential, industrial wood production, carbon storge, recreation value, and habitat value
Support / Community / Forum
Framework
Link to User Documentation {}
Link to Developer/Code Documentation -
Documentation quality expandable
Source of funding -
Number of developers less than 10
Number of users -
Openness
Open Source
Planned to open up in the future
Costs -
Software
Modelling software Python, Matlab, R
Internal data processing software Matlab, R
External optimizer
Additional software ArcGIS, QGIS
GUI
Coverage
Modeled energy sectors (final energy) -
Modeled demand sectors -
Modeled technologies: components for power generation or conversion
Renewables -
Conventional -
Modeled technologies: components for transfer, infrastructure or grid
Electricity -
Gas -
Heat -
Properties electrical grid -
Modeled technologies: components for storage -
User behaviour and demand side management
Changes in efficiency
Market models -
Geographical coverage
Geographic (spatial) resolution regions, municipalities
Time resolution 10 years
Comment on geographic (spatial) resolution Spatial resolution from 25 m - 1 km or user defined
Observation period >1 year, user-defined
Additional dimensions (sector) -
Mathematical Properties
Model class (optimisation) -
Model class (simulation) -
Other
Short description of mathematical model class
Mathematical objective -
Approach to uncertainty -
Suited for many scenarios / monte-carlo
typical computation time less than a second
Typical computation hardware RAM
Technical data anchored in the model -
Model Integration
Interfaces
Model file format .txt, .py, .r
Input data file format .m
Output data file format .m
Integration with other models
Integration of other models OSeMOSYS is used as a modelling tool in the model and is one of the part. Model has ability to run OSeMOSYS n times with different scenarios
References
Citation reference "• Augutis J., Martišauskas L., Krikštolaitis R. Energy mix optimization from an energy security perspective (http://dx.doi.org/10.1016/j.enconman.2014.11.033) // Energy Conversion and Management. ISSN 0196-8904. 2015. Vol. 90, p. 300–314 • Martišauskas L. OSeMOSYS model application for disturbed energy system modelling // 9th annual conference of young scientists on energy issues CYSENI 2012: international conference, Kaunas, Lithuania, 24-25 May, 2012. Kaunas : LEI, 2012. ISSN 1822-7554, p. 323-335."
Citation DOI 10.1016/j.enconman.2014.11.033
Reference Studies/Models "National research programme “Future Energy” projects: • Investigation of Lithuanian Energy Security and Assessment of Energy Security Level (2012-2014). • Development of Methodology for Energy Security Analysis and Integrated Security Level Assessment” (2010-2011). "
Example research questions -
Model usage -
Model validation -
Example research questions -
further properties
Model specific properties -

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