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3036. Sustainable power generation pathways: EMPIRE model insights for European countries
Invited abstract in session WA-19: Towards sustainable development, stream OR in Energy.
Wednesday, 8:30-10:00Room: 44 (building: 116)
Authors (first author is the speaker)
| 1. | Shamim Homaei
|
| Department of Industrial Economics and Technology Management, Norwegian University of Science and Technology | |
| 2. | Rahul Anantharaman
|
| Gas Technology, SINTEF Energy Research | |
| 3. | Stian Backe
|
| Department of industrial economics and technology management, The Norwegian University of Science and Technology | |
| 4. | Simon Roussanaly
|
| Gas Technology, SINTEF Energy Research | |
| 5. | Asgeir Tomasgard
|
| Department of industrial economics and technology management, NTNU |
Abstract
As global efforts intensify to meet the targets of the Paris Agreement, the necessity to reduce emissions from the power sector becomes increasingly evident. This study explores the role of different power generation technologies in achieving emission reduction targets. For this purpose, the European Model for Power System Investments with Renewable Energy (EMPIRE) is used to optimize power generation pathways across Europe by 2050. The primary focus is on understanding the impact of CCS technology, exploring the balance between different generator types (renewables, biomass, nuclear, and fossil-based generators) and their collective contribution to decarbonizing the power sector. Notably, the study considers high capture rate CCS technology to reveal its potential to reshape the energy mix. The research also develops various pathways associated with CCS and without CCS technology, offering a comprehensive understanding of how these pathways contribute to the decarbonized power system. Moreover, the study illuminates the impact of these pathways on electricity prices and provides valuable insights into potential changes. Our findings emphasize the crucial role played by CCS in transitioning towards a green power sector and shaping sustainable power generation pathways. In addition to offering practical insights for policymakers, the study illustrates the dynamics of the power system transition and proposes a roadmap for a more sustainable and resilient energy future.
Keywords
- OR in Energy
- Stochastic Models
- Optimization Modeling
Status: accepted
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