Isabelle Viole

• Viole, Isabelle; Shen, Li; Ramirez Camargo, Luis; Zeyringer, Marianne & Sartori, Sabrina (2024). Sustainable astronomy: A comparative life cycle assessment of off-grid hybrid energy systems to supply large telescopes. The International Journal of Life Cycle Assessment. ISSN 0948-3349. doi: 10.1007/s11367-024-02288-9.
• Viole, Isabelle; Valenzuela Venegas, Guillermo Andrés; Sartori, Sabrina & Zeyringer, Marianne (2024). Integrated life cycle assessment in off-grid energy system design—Uncovering low hanging fruit for climate mitigation. Applied Energy. ISSN 0306-2619. 367. doi: 10.1016/j.apenergy.2024.123334.
• Viole, Isabelle; Valenzuela Venegas, Guillermo Andrés; Zeyringer, Marianne & Sartori, Sabrina (2023). A renewable power system for an off-grid sustainable telescope fueled by solar power, batteries and green hydrogen. Energy. ISSN 0360-5442. 282. doi: 10.1016/j.energy.2023.128570. Fulltekst i vitenarkiv
• Wang, Chengjin; Hofmann, Michael; Safari, Armin; Viole, Isabelle; Andrews, Susan & Hofmann, Ron (2019). Chlorine is preferred over bisulfite for H2O2 quenching following UV-AOP drinking water treatment. Water Research. ISSN 0043-1354. 165. doi: 10.1016/j.watres.2019.115000.

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• Viole, Isabelle; van Greevenbroek, Koen & Cheng, Claudia Siew Wan (2024). Can Norway save the European Union's hydrogen ambition for 2030?
• Viole, Isabelle; Valenzuela Venegas, Guillermo Andrés; Sartori, Sabrina & Zeyringer, Marianne (2023). Techno-environmental multi-objective optimization of energy systems for an off-grid telescope.
• Viole, Isabelle; Valenzuela Venegas, Guillermo Andrés; Shen, Li; Ramirez Camargo, Luis & Sartori, Sabrina (2023). How to power an off-grid telescope? Comparative life cycle analysis of renewable-based energy systems.
• Viole, Isabelle; Valenzuela Venegas, Guillermo Andrés; Zeyringer, Marianne & Sartori, Sabrina (2023). Techno-Environmental Modelling of Energy Storage Systems for a Remote Telescope.
• Viole, Isabelle (2023). Remote energy systems. Using green energy to look at the stars.
• Sartori, Sabrina; Viole, Isabelle & Valenzuela Venegas, Guillermo Andrés (2022). Grønn energi til å se ut i verdensrommet.
• Viole, Isabelle & Valenzuela Venegas, Guillermo Andrés (2022). Designing a hybrid power system for a remote telescope in the Atacama desert.
• Viole, Isabelle (2022). Integration of hydrogen storage into a solar-based energy system for a remote telescope in the Atacama desert.
• Schimek, Alice & Viole, Isabelle (2022). Towards a sustainable AtLAST.
• Viole, Isabelle (2021). How to power a telescope in the Atacama desert sustainably.
• Viole, Isabelle (2020). Temporal complexity reduction for modeling the sector coupling of gas and electricity. German Aerospace Center, Institute of Networked Energy Systems. Vis sammendrag

  In the future, the sector coupling of power, heat, gas and mobility shall enable a stronger cross-sectoral integration of renewable energies and provide new flexibility options for the electricity sector, e.g. with seasonal storage of energy in the gas network. The optimal expansion of the grid and storage units within energy systems is determined by applying optimisation models. These are becoming increasingly complex and computationally more challenging, e.g. with the expansion of renewable energies and the coupling of sectors, the intermittent time series of renewable power generators and the state-of-charge of long-term energy storage systems have to be accounted for. Complexity reduction methods are widely used to reduce computing time while maintaining a reasonable accuracy. In recent research, a large number of methods to reduce temporal complexity emerged that are tailored to power-based energy system models. However, their applicability to sector-coupled models is still to be explored. This thesis applies known methods that reduce the temporal complexity in systems with long-time storage options in eTraGo, an energy system model that couples electricity and gas. An innovative method for temporal complexity reduction, hierarchical clustering of consecutive hours with variable segment lengths, is integrated into eTraGo. The applicability of this method is evaluated against a previously integrated method. Both methods are applied in a scenario with significant Power-to-gas installations. When these methods cluster the gas sector’s input time series by itself, the deviation to the reference case gas time series is smaller than when the clustering algorithms are applied on the input time series of both sectors. When applied to the time series of both sectors, the novel method introduces less deviation than the previously implemented method. This thesis found that the innovative method of hierarchical clustering of consecutive hours results in a better trade-off between reducing computing time and the error introduced to the annual costs of the whole system than the previously introduced method to reduce temporal complexity. However, both methods severely deviate by more than 50% from the reference case with regards to the electrolyzer expansion.

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