EMLab-Generation - Revision history

Florian Maurer at 12:12, 17 April 2024

2024-04-17T12:12:01Z

Joern Richstein at 14:22, 16 July 2015

2015-07-16T14:22:02Z

Joern Richstein at 09:56, 13 January 2015

2015-01-13T09:56:37Z

Joern Richstein: Created page with "{{Model |Full_Model_Name=EMLab-Generation |author_institution=Delft University of Technology |authors=Jörn C. Richstein, Emile Chappin, Pradyumna Bhagwat, Laurens de Vries |c..."

2015-01-13T09:56:03Z

Created page with "{{Model |Full_Model_Name=EMLab-Generation |author_institution=Delft University of Technology |authors=Jörn C. Richstein, Emile Chappin, Pradyumna Bhagwat, Laurens de Vries |c..."

New page

{{Model
|Full_Model_Name=EMLab-Generation
|author_institution=Delft University of Technology
|authors=Jörn C. Richstein, Emile Chappin, Pradyumna Bhagwat, Laurens de Vries
|contact_persons=Jörn C. Richstein
|contact_email=j.c.richstein@tudelft.nl
|website=http://emlab.tudelft.nl/
|source_download=https://github.com/EMLab/emlab-generation
|logo=Logo-emlab.png
|text_description=The main purpose is to explore the long-term effects of interacting energy and climate policies by means of a simulation model of power companies investing in generation capacity. With this model, we study the influence of policy on investment in the electricity market in order to explicate possible effects of current and alternative/additional policies on the various sector goals, i.e. renewables targets, CO2 emission targets, security of supply and affordability. The methodology, agent-based modelling, allows for a different set of assumptions different as to the mainstream models for such questions: this model can explore heterogeneity of actors, consequences of imperfect expectations and investment behaviour outside of ideal conditions.
|open_source_licensed=Yes
|license=Apache License 2.0 (Apache-2.0)
|model_source_public=Yes
|data_availability=some
|open_future=Yes
|modelling_software=Java
|processing_software=R
|model_class=Agent-based Simulation
|sectors=Electricity Market, Carbon Market
|technologies=Renewables, Conventional Generation
|decisions=dispatch, investment
|georegions=Central Western Europe
|georesolution=Zones
|timeresolution=Year
|network_coverage=net transfer capacities
|math_modeltype=Simulation, Agend-based
|is_suited_for_many_scenarios=Yes
|computation_time_minutes=60
|computation_time_comments=Depends on the enabled modules
|citation_references=Richstein et al. 2014, Cross-border electricity market effects due to price caps in an emission trading system: An agent-based approach, Energy Policy Volume 71, August 2014, Pages 139–158
|citation_doi=http://dx.doi.org/10.1016/j.enpol.2014.03.037
|example_research_questions=- What is the effect of carbon price caps?
- How is the market stability reserve going to effect the EU ETS?
- What long-term effects does a capacity market have?
}}

@@ Line 16: / Line 16: @@
 |modelling_software=Java
 |processing_software=R
 |model_class=Agent-based Simulation
 |sectors=Electricity Market, Carbon Market
 |technologies=Renewables, Conventional Generation
 |decisions=dispatch, investment
 |georegions=Central Western Europe
@@ Line 24: / Line 27: @@
 |timeresolution=Year
 |network_coverage=net transfer capacities
-|math_modeltype=Simulation, Agend-based
+|math_modeltype=Simulation, Agent-based
 |deterministic=Limited foresight, optional risk aversion
 |is_suited_for_many_scenarios=Yes
 |computation_time_minutes=60
 |computation_time_comments=Depends on the enabled modules
@@ Line 34: / Line 38: @@
 - How is the market stability reserve going to effect the EU ETS?
 - What long-term effects does a capacity market have?
 }}

@@ Line 8: / Line 8: @@
 |source_download=https://github.com/EMLab/emlab-generation
 |logo=Logo-emlab.png
 |text_description=The main purpose is to explore the long-term effects of interacting energy and climate policies by means of a simulation model of power companies investing in generation capacity. With this model, we study the influence of policy on investment in the electricity market in order to explicate possible effects of current and alternative/additional policies on the various sector goals, i.e. renewables targets, CO2 emission targets, security of supply and affordability. The methodology, agent-based modelling, allows for a different set of assumptions different as to the mainstream models for such questions: this model can explore heterogeneity of actors, consequences of imperfect expectations and investment behaviour outside of ideal conditions.
 |open_source_licensed=Yes
 |license=Apache License 2.0 (Apache-2.0)
@@ Line 29: / Line 29: @@
 |computation_time_comments=Depends on the enabled modules
 |citation_references=Richstein et al. 2014, Cross-border electricity market effects due to price caps in an emission trading system: An agent-based approach, Energy Policy Volume 71, August 2014, Pages 139–158
-|citation_doi=http://dx.doi.org/10.1016/j.enpol.2014.03.037
+|citation_doi=10.1016/j.enpol.2014.03.037
 |example_research_questions=- What is the effect of carbon price caps?
 - How is the market stability reserve going to effect the EU ETS?
 - What long-term effects does a capacity market have?
 }}