Abstract
This paper presents a general electricity-CO\(_{2}\) modeling framework that is able to simulate interactions of the energy-only market with different forms of national policy measures. We set up a two sector model where players can invest into various types of generation technologies including renewables, nuclear power and carbon capture, transport, and storage (CCTS). For a detailed representation of CCTS we also include industry players (iron and steel as well as cement), and CO\(_{2}\) transport and CO\(_{2}\) storage including the option for CO\(_{2}\) enhanced oil recovery (CO\(_{2}\)-EOR). The players maximize their expected profits based on variable, fixed and investment costs as well as endogenous prices of electricity, CO\(_{2}\) abatement cost and other incentives, subject to technical and environmental constraints. Demand is inelastic and represented via type hours. The model framework allows for regional disaggregation and features simplified electricity and CO\(_{2}\) pipeline networks. It is balanced via a market clearing for the electricity as well as CO\(_{2}\) market. The equilibrium solution is subject to constraints on CO\(_{2}\) emissions and renewable generation share. We apply the model to a case study of the UK electricity market reform to illustrate the mechanisms and potential results attained from the model.
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Notes
RES and nuclear provide sufficient decarbonization alternatives for the electricity sector. The high cost increase, however, is caused by only limited alternative decarbonization technologies in the industry sector. Negative emissions of large-scale utilization of CCTS with biomass, in addition, compensate for unabatable emissions in other sectors [18].
The specifics of a possible CM in the UK are not clear yet and were therefore not included in this case study.
This is influenced through the diffusion constraint which limits the maximal annual construction, esp. in early periods.
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Acknowledgements
The first draft of the model was developed during a research stay at the International Institute for Applied System Analysis (IIASA) in Laxenburg, Austria. We want to thank all members of the Energy department and in particular Nils Johnson for numerous fruitful discussions and helpful inputs during these months. Additional thanks goes to our colleagues at DIW Berlin and TU Berlin Claudia Kemfert, Christian von Hirschhausen, Franziska Holz, Daniel Huppmann, and Alexander Zerrahn for their discussions, critiques, and comments. The usual disclaimer applies.
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Appendix: Karush–Kuhn–Tucker conditions of the ELCO model
Appendix: Karush–Kuhn–Tucker conditions of the ELCO model
1.1 The electricity sector
1.1.1 Shared environmental constraints for the electricity sector
1.2 The electricity transportation utility
1.3 The industry sector
1.4 The CO\(_{2}\) transportation utility
1.5 The CO\(_{2}\) storage sector
1.6 Market clearing conditions across all sectors
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Mendelevitch, R., Oei, PY. The impact of policy measures on future power generation portfolio and infrastructure: a combined electricity and CCTS investment and dispatch model (ELCO). Energy Syst 9, 1025–1054 (2018). https://doi.org/10.1007/s12667-017-0242-z
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DOI: https://doi.org/10.1007/s12667-017-0242-z