The Australian National Electricity Market (ANEM) model is the inhouse and main modelling platform of the EEMG.  ANEM is currently up to version 1.10 developed specifically for the research project titled: An investigation of the impacts of increased power supply to the national grid by wind generators on the Australian electricity industry.

The ANEM model has undergone a number of enhancements in five successive research projects.  Table 1 relates the ANEM model version to specific research projects, their associated publications and to the institutes and companies that have supported these research projects.  Institutions include the Australian Research Council (ARC), Australian Renewable Energy Agency (ARENA), Clean Energy Council, Commonwealth Scientific and Industrial Research Organisation (CSIRO), National Climate Change Adaptation Research Facility (NCCARF) and The University of Newcastle.  Companies include Australian Gas Limited (AGL), Energy Australia Hydro Tasmania, Infigen Energy, RATCH Australia Corporation (RAC) and Vestas.  These companies and institutions have all contributed to the development of the ANEM model.

Table 1:  Relating ANEM model versions to projects, publications and funding bodies

ver.

Projects , funding bodies and publications 

1.10

Project: An investigation of the impacts of increased power supply to the national grid by wind generators on the Australian electricity industry: ARC Linkage Project (LP110200957, 2011-2014)

Funded by: ARC, AGL, Clean Energy Council, Energy Australia, Hydro Tasmania, Infigen, University of Newcastle and Vestas

 

Journal Publication:

Bell, WP, Wild, P, Foster, J, and Hewson, M (2015), Wind speed and electricity demand correlation analysis in the Australian National Electricity Market: Determining wind turbine generators’ ability to meet electricity demand without energy storage, Economic Analysis & Policy, vol. 48, no. December 2015, doi:10.1016/j.eap.2015.11.009

Final Reports:

Wild, P, Bell, WP, Foster, J, and Hewson, M (2015), Australian National Electricity Market Model version 1.10, EEMG Working Paper 2-2015, The University of Queensland, Brisbane, Australia.

 

Bell, WP, Wild, P, Foster, J, and Hewson, M (2015), The effect of increasing the number of wind turbine generators on transmission line congestion in the Australian National Electricity Market from 2014 to 2025, EEMG Working Paper 3-2015, The University of Queensland, Brisbane, Australia.

 

Bell, WP, Wild, P, Foster, J, and Hewson, M (2015), The effect of increasing the number of wind turbine generators on wholesale spot prices in the Australian National Electricity Market from 2014 to 2025, EEMG Working Paper 4-2015, The University of Queensland, Brisbane, Australia.

 

Bell, WP, Wild, P, Foster, J, and Hewson, M (2015), The effect of increasing the number of wind turbine generators on carbon dioxide emissions in the Australian National Electricity Market from 2014 to 2025, EEMG Working Paper 5-2015, The University of Queensland, Brisbane, Australia.

 

Bell, WP, Wild, P, Foster, J, and Hewson, M (2015), The effect of increasing the number of wind turbine generators on generator energy in the Australian National Electricity Market from 2014 to 2025, EEMG Working Paper 6-2015, The University of Queensland, Brisbane, Australia.

 

Bell, WP, Wild, P, Foster, J, and Hewson, M (2015), NEMLink: Augmenting the Australian National Electricity Market transmission grid to facilitate increased wind turbine generation and its effect on transmission congestion, EEMG Working Paper 9-2015, The University of Queensland, Brisbane, Australia.

 

Bell, WP, Wild, P, Foster, J, and Hewson, M (2015), NEMLink: Augmenting the Australian National Electricity Market transmission grid to facilitate increased wind turbine generation and its effect on wholesale spot prices, EEMG Working Paper 10-2015, The University of Queensland, Brisbane, Australia.

 

Interim reports:

 

Wild, P, Bell, WP and Foster, J (2014), Impact of Transmission Network Augmentation Options on Operational Wind Generation in the Australian National Electricity Market over 2007-2012, EEMG Working Paper 11-2014, School of Economics, The University of Queensland

 

Wild, P, Bell, WP and Foster, J (2014), Impact of increased penetration of wind generation in the Australian National Electricity Market, EEMG Working Paper 10-2014, School of Economics, The University of Queensland.

 

Wild, P, Bell, WP and Foster, J (2014), Impact of Operational Wind Generation in the Australian National Electricity Market over 2007-2012. EEMG Working Paper 1-2014, School of Economics, The University of Queensland.

 

 

 

Collinsville Solar Thermal Project funded by ARENA and RAC

 

Bell, WP, Wild, P, and Foster, J  2014, Collinsville solar thermal project: Energy economics and Dispatch forecasting – Final Report, The Global Change Institute, The University of Queensland, Brisbane, Australia.

 

Analysis of institutional adaptability to redress electricity infrastructure vulnerability due to climate change (2011-2013) funded by NCCARF

 

Project's main report

 

Foster, J,  Bell, WP, and Wild, P, et al. (2013), Analysis of Institutional adaptability to redress electricity infrastructure vulnerability due to climate change, National Climate Change and Adaptation Foundation, Brisbane, Australia.

 

Journal Publication:

 

Bell, William Paul and Foster, John (2017) Using solar PV feed-in tariff policy history to inform a sustainable flexible pricing regime to enhance the diffusion of energy storage and electric vehicles, Journal of Bioeconomics, doi: 10.1007/s10818-016-9240-9

 

 

 

Intelligent Grid Research Cluster: Market and economic modelling of the impacts of distributed generation and local co-operating agent-based demand side management. (2008-2011) funded by CSIRO

 

Wild, P, Bell, WP (2011), 'Assessing the economic impact of investment in distributed generation using the ANEM model', in J Foster (ed.), Market and economic modelling of the impact of distributed generation, CSIRO Intelligent Grid Research Cluster, Brisbane, Australia

 

 

Assessing the impacts of proposed carbon trading and tax schemes on the Australian electricity industry and the overall economy. Funded by ARC and AGL (LP0883650, 2008 to 2011)

 

Wild, P, Bell, WP and Foster, J. (2015) Impact of Carbon Prices on Wholesale Electricity Prices and Carbon Pass-Through Rates in the Australian National Electricity Market. The Energy Journal, 36 3: doi:10.5547/01956574.36.3.5

 

Wild, P, Bell, WP and Foster, J. (2014), 'The impact of carbon prices on Australia's National Electricity Market ', in J Quiggin, D Adamson & D Quiggin (eds), Carbon Pricing: Early Experience and Future Prospects, Edward Elgar, Cheltenham, UK, Northampton, USA, pp. 101-22.

 

Wild, P, Bell, WP and Foster, J. (2012) Impact of Carbon Prices: State Production Trends, Inter-state Trade and Carbon Emission Reduction Outcomes in the NEM over the period 2007-2009, EEMG Working Paper 6-2012, Energy Economics and Management Group, School of Economics, University of Queensland

 

Wild, P, Bell, WP and Foster, J. (2012), The Impact of Carbon Pricing on Wholesale Electricity Prices, Carbon Pass-Through Rates and Retail Electricity Tariffs in Australia, Working Paper 5-2012, Energy Economics and Management Group, University of Queensland, Brisbane, Australia.

 

Wild, P, Bell, WP and Foster, J. ( 2012), An Assessment of the Impact of the Introduction of Carbon Price Signals on Prices, Production Trends, Carbon Emissions and Power Flows in the NEM for the period 2007-2009, EEMG Working Paper 4-2012, Energy Economics and Management Group, School of Economics, University of Queensland, April 2012 

 

Wild, P, and Foster, J. (2010) A non-technical introduction to the ANEM Market model of the Australian National Electricity Market (NEM), EEMG Working Paper 3-2010, Energy Economics and Management Group, School of Economics, University of Queensland

 

The strength of the in-house development of the ANEM model over other proprietary models of the National Electricity Market is the flexibility to address non-routine research questions.  An additional strength over other models is ANEM's fine resolution of analysis, for instance, version 1.10 provides half-hourly resolution for dispatch and energy generated for 315 generators, congestion on 68 transmission lines and wholesale spot prices and phase angles for 50 nodes plus daily CO2 emissions by generator.