TY - JOUR
T1 - LEGO: The open-source Low-carbon Expansion Generation Optimization model
AU - Wogrin, Sonja
AU - Tejada-Arango, Diego A.
AU - Gaugl, Robert
AU - Klatzer, Thomas Florian
AU - Bachhiesl, Udo
PY - 2022/7
Y1 - 2022/7
N2 - 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.
AB - 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.
KW - Energy system planning software
KW - GitHub
KW - Open-source
KW - Power system optimization
UR - http://www.scopus.com/inward/record.url?scp=85131583862&partnerID=8YFLogxK
U2 - 10.1016/j.softx.2022.101141
DO - 10.1016/j.softx.2022.101141
M3 - Article
SN - 2352-7110
VL - 19
JO - SoftwareX
JF - SoftwareX
M1 - 101141
ER -