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ESO-X

Author institution	Imperial College London +
Authors	Clara F. Heuberger +
Citation doi	https://doi.org/10.1016/j.apenergy.2017.07.075 +
Citation references	Heuberger CF, Rubin ES, Staffell I, Shah N, Mac Dowell Nclose, 2017, Power capacity expansion planning considering endogenous technology cost learning, APPLIED ENERGY, Vol: 204, Pages: 831-845, ISSN: 0306-2619
Computation time comments	depends on scenario, e.g., amount of storage capacity
Computation time minutes	10 +
Contact email	c.heuberger14@imperial.ac.uk +
Contact persons	Clara F. Heuberger +
Data availability	all +
Decisions	dispatch + , investment +
Deterministic	scenario analysis +
Full Model Name	Electricity Systems Optimisation Framework +
Georegions	UK +
Georesolution	single-node (ESONE: 29 nodes) +
Is suited for many scenarios	true +
License	MIT license (MIT) +
Math modeltype	Optimization +
Math modeltype shortdesc	MILP +
Math objective	minimise total system cost +
Model class	power system model +
Model source public	true +
Modelling software	GAMS; CPLEX +
Number of variables	240,000 +
Open future	false +
Open source licensed	true +
Processing software	R +
Report references	Heuberger CF, Staffell I, Shah N, Mac Dowe … Heuberger CF, Staffell I, Shah N, Mac Dowell N, 2017, The changing costs of technology and the optimal investment timing in the power sector Heuberger CF, Mac Dowell N, 2018, Real-World Challenges with a Rapid Transition to 100% Renewable Power Systems, Joule, Vol: 2, Pages: 367-370 Heuberger CF, Staffell I, Shah N, Mac Dowell N, 2018, Impact of myopia and disruptive events in power systems planning, Nature Energy, doi:10.1038/s41560-018-0159-3 Heuberger CF, Staffell I, Shah N, Mac Dowell N, 2017, A systems approach to quantifying the value of power generation and energy storage technologies in future electricity networks, COMPUTERS & CHEMICAL ENGINEERING, Vol: 107, Pages: 247-256, ISSN: 0098-1354 Heuberger CF, Staffell I, Shah N, Mac Dowell N, 2017, Valuing Flexibility in CCS Power Plants, IEAGHG Technical Report, http://www.ieaghg.org/exco_docs/2017-09.pdfttp://www.ieaghg.org/exco_docs/2017-09.pdf
Sectors	Electricity +
Technologies	Renewables + , Conventional Generation +
Text description	The Electricity Systems Optimisation (ESO) … The Electricity Systems Optimisation (ESO) framework contains a suite of power system capacity expansion and unit commitment models at different levels of spatial and temporal resolution and modelling complexity. Available for download is the single-node model with long-term capacity expansion from 2015 to 2050 in 5 yearly time steps and at hourly discretisation including endogenous technology cost learning (ESO-XEL) as perfect foresight and myopic foresight planning option.ight and myopic foresight planning option.
Timeresolution	Hour +
Website	https://zenodo.org/record/1048943%2C%20https://zenodo.org/record/1212298 +
Creation dateThis property is a special property in this wiki.	25 May 2018 12:36:38 +
Has improper value forThis property is a special property in this wiki.	Source download +
Categories	Model +
Last editor isThis property is a special property in this wiki.	User:Clara Heuberger +
Modification dateThis property is a special property in this wiki.	29 June 2018 12:59:00 +
Is a new pageThis property is a special property in this wiki.	false +

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