LEGO: The open-source Low-carbon Expansion Generation Optimization model
Sonja Wogrin,
Diego Alejandro Tejada-Arango,
Robert Gaugl,
Thomas Klatzer,
Udo Bachhiesl
Affiliations
Sonja Wogrin
Institute of Electricity Economics and Energy Innovation (IEE), Graz University of Technology, Graz, Austria; Institute for Research in Technology (IIT), School of Engineering (ICAI), Comillas Pontifical University, Madrid, Spain; Corresponding author at: Institute of Electricity Economics and Energy Innovation (IEE), Graz University of Technology, Graz, Austria.
Diego Alejandro Tejada-Arango
Energy Management Consulting, AFRY, Madrid, Spain; Facultad de Ciencias Económicas y Empresariales (ICADE), Universidad Pontificia Comillas, Madrid, Spain
Robert Gaugl
Institute of Electricity Economics and Energy Innovation (IEE), Graz University of Technology, Graz, Austria
Thomas Klatzer
Institute of Electricity Economics and Energy Innovation (IEE), Graz University of Technology, Graz, Austria
Udo Bachhiesl
Institute of Electricity Economics and Energy Innovation (IEE), Graz University of Technology, Graz, Austria
This paper introduces the open-source Low-carbon Expansion Generation Optimization (LEGO) model. It is a multi-purpose tool to carry out numerous techno-economic analyses of the energy sector, ranging from short-term unit commitment to long-term generation and transmission expansion planning. Its highly flexible temporal structure permits both chronological and representative periods. LEGO is composed of thematic blocks that can be combined freely via data options: unit commitment constraints; DC- or AC-OPF formulations; battery degradation; rate of change of frequency inertia constraints; demand-side management; or Power-to-X in the form of the hydrogen sector. This unique feature allows to incorporate highly technical aspects into long-term investment analyses. To our knowledge there is no open-source model that offers this flexibility, which we hereby make freely available to the scientific community.
