This project will provide an open source methodology for calculating the Levelised Cost of Energy (LCOE) for a range of energy technologies.
Over time I will be uploading and documenting a variety of different versions of the model in order to provide transparency and consistency across a range of frameworks. This project will also supply each version in a range of languages so that the LCOE model can be implemented across a range of use cases.
Previously this model and its successors has been used to examine a range of policy and new technology options for Australia, Indian and Russia.
- Matlab
- Python
- C++
- Excel
- Excel with VBA
- Wagner, L., & Foster, J. (2011). "Is There an Optimal Entry Time for Carbon Capture and Storage? A Case Study for Australia's National Electricity Market", Energy Economics Management Group, School of Economics,: The University of Queensland, Australia. *Ball, Barry, Ehmann, Bertram, Foster, John, Froome, Craig, Hoegh-Guldberg, Ove, Meredith, Paul, Molyneaux, Lynette, Saha, Tapan and Wagner, Liam (2011). Delivering a competitive Australian power system Part 1: Australia’s Global Position. St Lucia, QLD, Australia: The University of Queensland, Global Change Institute.
- Foster, J., Wagner, L., & Bratanova, A. (2014). "LCOE models: A comparison of the theoretical frameworks and key assumptions" (No. 4-2014). School of Economics, University of Queensland, Australia.
- Byrnes, L., Brown, C., Wagner, L., & Foster, J. (2016). "Reviewing the viability of renewable energy in community electrification: The case of remote Western Australian communities". Renewable and Sustainable Energy Reviews, 59, 470-481.
- Molyneaux, L., Wagner, L., & Foster, J. (2016). "Rural electrification in India: Galilee Basin coal versus decentralised renewable energy micro grids". Renewable Energy, 89, 422-436.