Author institution
|
University of New South Wales +
|
Authors
|
Ben Elliston +
|
Computation time comments
|
runtime depends on # of CPUs devoted to optimisation
|
Contact email
|
b.elliston@unsw.edu.au +
|
Contact persons
|
Ben Elliston +
|
Data availability
|
all +
|
Decisions
|
dispatch +
|
Full Model Name
|
National Electricity Market Optimiser +
|
Georegions
|
Australia +
|
Georesolution
|
NEM regions +
|
Is suited for many scenarios
|
true +
|
License
|
GNU General Public License version 3.0 (GPL-3.0) +
|
Math modeltype
|
Optimization +
, Simulation +
|
Math modeltype shortdesc
|
Optimisations are carried out using a single-objective evaluation function (with penalties). The search space (of generator capacities) is searched using the CMA-ES algorithm. +
|
Math objective
|
minimise average cost of electricity +
|
Model source public
|
true +
|
Modelling software
|
Python +
|
Network coverage
|
transmission +
|
Number of variables
|
100 +
|
Open future
|
true +
|
Open source licensed
|
true +
|
Source download
|
https://git.ozlabs.org/?p=nemo.git +
|
Technologies
|
Renewables +
, Conventional Generation +
|
Text description
|
NEMO is a chronological dispatch model for testing and optimising different portfolios of conventional and renewable electricity generation technologies.
|
Timeresolution
|
Hour +
|
Website
|
https://nemo.ozlabs.org/ +
|
Creation dateThis property is a special property in this wiki.
|
20 January 2015 12:04:32 +
|
Has improper value forThis property is a special property in this wiki.
|
Computation time minutes +
|
Categories |
Model +
|
Last editor isThis property is a special property in this wiki.
|
User:Ben Elliston +
|
Modification dateThis property is a special property in this wiki.
|
20 January 2015 12:04:32 +
|
Is a new pageThis property is a special property in this wiki.
|
true +
|