Publikasjoner
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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.
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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.
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Vågerö, Oskar; Bråte, Anders; Wittemann, Alexandra; Robinson, Jessica Yarin; Zeyringer, Marianne & Sirotko-Sibirskaya, Natalia
(2024).
Machine learning of public sentiments towards wind energy in Norway.
Wind Energy.
ISSN 1095-4244.
doi:
10.1002/we.2902.
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Across Europe, negative public opinion has and may continue to limit the deployment of renewable energy infrastructure required for the transition to net-zero energy systems. Understanding public sentiment and its spatio-temporal variations is as such important for decision-making and for developing socially accepted energy systems. In this study, we apply a sentiment classification model based on a machine learning framework for natural language processing, NorBERT, on data collected from Twitter between 2006 and 2022 to analyse the case of wind power opposition in Norway. From the 68,828 tweets with geospatial information, we show how discussions about wind power intensified in 2018/2019 together with a trend of more negative tweets up until 2020, both on a regional level and for Norway as a whole. Furthermore, we find weak geographical clustering in our data, indicating that discussions are country wide and not dominated by specific regional events or developments. Twitter data allow for detailed insight into the temporal nature of public sentiments and extending this research to additional case studies of technologies, countries and sources of data (e.g. newspapers, other social media) may prove important to complement traditional survey research and the understanding of public sentiment.
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Grochowicz, Aleksander; Benth, Fred Espen & Zeyringer, Marianne
(2024).
Spatio-temporal smoothing and dynamics of different electricity flexibility options for highly renewable energy systems—Case study for Norway.
Applied Energy.
ISSN 0306-2619.
356.
doi:
10.1016/j.apenergy.2023.122338.
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In this article, we investigate the mismatch of renewable electricity production to demand and how flexibility options enabling spatial and temporal smoothing can reduce risks of variability. As a case study we pick a simplified (partial) 2-region representation of the Norwegian electricity system and focus on wind power. We represent regional electricity production and demand through two stochastic processes: the wind capacity factors are modelled as a two-dimensional Ornstein–Uhlenbeck process and electricity demand consists of realistic base load and temperature-induced load coming from a deseasonalised autoregressive process. We validate these processes, that we have trained on historical data, through Monte Carlo simulations allowing us to generate many statistically representative weather years. For the investigated realisations (weather years) we study deviations of production from demand under different wind capacities, and introduce different scenarios where flexibility options like storage and transmission are available. Our analysis shows that simulated loss values are reduced significantly by cooperation between regions and either mode of flexibility. Combining storage and transmission leads to even more synergies and helps to stabilise production levels and thus reduces likelihoods of inadequacy of renewable power systems.
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Viole, Isabelle; Valenzuela Venegas, Guillermo Andrés; Sartori, Sabrina & Zeyringer, Marianne
(2023).
Integrated Life Cycle Assessment in Off-Grid Energy System Design - Uncovering Low Hanging Fruit for Climate Mitigation.
Social Science Research Network (SSRN).
ISSN 1556-5068.
doi:
10.2139/ssrn.4656682.
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Viole, Isabelle; Shen, Li; Ramirez Camargo, Luis; Zeyringer, Marianne & Sartori, Sabrina
(2023).
Sustainable Astronomy: A comparative Life Cycle Assessment of Off-grid Hybrid Energy Systems to supply large Telescopes.
Research Square.
ISSN 2693-5015.
doi:
10.21203/rs.3.rs-3281965/v2.
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Valenzuela Venegas, Guillermo Andrés; Lode, Maria Luisa; Viole, Isabelle; Felice, Alex; Martinez Alonso, Ander & Ramirez Camargo, Luis
[Vis alle 8 forfattere av denne artikkelen]
(2023).
Designing renewable and socially accepted energy systems for astronomical telescopes: A move towards energy justice.
Research Square.
ISSN 2693-5015.
doi:
10.21203/rs.3.rs-3181969/v1.
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Viole, Isabelle; Shen, Li; Ramirez Camargo, Luis; Zeyringer, Marianne & Sartori, Sabrina
(2023).
Sustainable Astronomy: A comparative Life Cycle Assessment of Off-grid Hybrid Energy Systems to supply large Telescopes.
Research Square.
ISSN 2693-5015.
doi:
10.21203/rs.3.rs-3281965/v2.
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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
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Grochowicz, Aleksander; van Greevenbroek, Koen; Benth, Fred Espen & Zeyringer, Marianne
(2023).
Intersecting near-optimal spaces: European power systems with more resilience to weather variability.
Energy Economics.
ISSN 0140-9883.
118.
doi:
10.1016/j.eneco.2022.106496.
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We suggest a new methodology for designing robust energy systems. For this, we investigate so-called near-optimal solutions to energy system optimisation models; solutions whose objective values deviate only marginally from the optimum. Using a refined method for obtaining explicit geometric descriptions of these near-optimal feasible spaces, we find designs that are as robust as possible to perturbations. This contributes to the ongoing debate on how to define and work with robustness in energy systems modelling.
We apply our methods in an investigation using multiple decades of weather data. For the first time, we run a capacity expansion model of the European power system (one node per country) with a three-hourly temporal resolution and 41 years of weather data. While an optimisation with 41 weather years is at the limits of computational feasibility, we use the near-optimal feasible spaces of single years to gain an understanding of the design space over the full time period. Specifically, we intersect all near-optimal feasible spaces for the individual years in order to get designs that are likely to be feasible over the entire time period. We find significant potential for investment flexibility, and verify the feasibility of these designs by simulating the resulting dispatch problem with four decades of weather data. They are characterised by a shift towards more onshore wind and solar power, while emitting more than 50% less CO2 than a cost-optimal solution over that period.
Our work builds on recent developments in the field, including techniques such as Modelling to Generate Alternatives (MGA) and Modelling All Alternatives (MAA), and provides new insights into the geometry of near-optimal feasible spaces and the importance of multi-decade weather variability for energy systems design. We also provide an effective way of working with a multi-decade time frame in a highly parallelised manner. Our implementation is open-sourced, adaptable and is based on PyPSA-Eur.
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Craig, Michael T.; Wohland, Jan; Stoop, Laurens P.; Kies, Alexander; Pickering, Bryn & Bloomfield, Hannah C.
[Vis alle 23 forfattere av denne artikkelen]
(2022).
Overcoming the disconnect between energy system and climate modeling.
Joule.
ISSN 2542-4351.
6(7),
s. 1405–1417.
doi:
10.1016/j.joule.2022.05.010.
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Energy system models underpin decisions by energy system planners and operators. Energy system modeling faces a transformation: accounting for changing meteorological conditions imposed by climate change. To enable that transformation, a community of practice in energy-climate modeling has started to form that aims to better integrate energy system models with weather and climate models. Here, we evaluate the disconnects between the energy system and climate modeling communities, then lay out a research agenda to bridge those disconnects. In the near-term, we propose interdisciplinary activities for expediting uptake of future climate data in energy system modeling. In the long-term, we propose a transdisciplinary approach to enable development of (1) energy-system-tailored climate datasets for historical and future meteorological conditions and (2) energy system models that can effectively leverage those datasets. This agenda increases the odds of meeting ambitious climate mitigation goals by systematically capturing and mitigating climate risk in energy sector decision-making.
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Gruber, Katharina; Regner, Peter; Wehrle, Sebastian; Zeyringer, Marianne & Schmidt, Johannes
(2022).
Towards global validation of wind power simulations: A multi-country assessment of wind power simulation from MERRA-2 and ERA-5 reanalyses bias-corrected with the global wind atlas.
Energy.
ISSN 0360-5442.
238.
doi:
10.1016/j.energy.2021.121520.
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Price, James; Mainzer, Kai; Petrović, Stefan; Zeyringer, Marianne & McKenna, Russell
(2020).
The Implications of Landscape Visual Impact on Future Highly Renewable Power Systems: A Case Study for Great Britain.
IEEE Transactions on Power Systems.
ISSN 0885-8950.
37(4),
s. 3311–3320.
doi:
10.1109/TPWRS.2020.2992061.
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Se alle arbeider i Cristin
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Grochowicz, Aleksander; van Greevenbroek, Koen; Benth, Fred Espen & Zeyringer, Marianne
(2023).
Intersecting Near-Optimal Spaces for Policy Information.
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Mathisen, Siri Gulaker; Wolfgang, Ove; Olkkonen, Ville; Mata, Érika; Haaskjold, Kristina & Sevillano, Ignacio
[Vis alle 10 forfattere av denne artikkelen]
(2023).
Achieving National Energy and Climate Plans (NECPs) via Nordic Cooperation on Energy System Modelling.
Fast Track to Vision 2030.
ISSN 1890-0429.
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Viole, Isabelle; Valenzuela Venegas, Guillermo Andrés; Sartori, Sabrina & Zeyringer, Marianne
(2023).
Techno-environmental multi-objective optimization of energy systems for an off-grid telescope.
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Grochowicz, Aleksander & Zeyringer, Marianne
(2023).
Managing the variability in time and space of renewable power generation.
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Grochowicz, Aleksander & Zeyringer, Marianne
(2023).
Managing the variability in time and geography of renewable power generation.
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Grochowicz, Aleksander; van Greevenbroek, Koen; Benth, Fred Espen & Zeyringer, Marianne
(2022).
Intersecting near-optimal spaces for robust energy systems.
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Zeyringer, Marianne; Benth, Fred Espen; Roithner, Maximilian; Grochowicz, Aleksander & Sirotko-Sibirskaya, Natalia
(2022).
Climate-resilient net-zero energy system design.
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Benth, Fred Espen & Zeyringer, Marianne
(2021).
Uncertain Energy Systems.
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Benth, Fred Espen & Zeyringer, Marianne
(2021).
Uncertain energy systems.
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Benth, Fred Espen & Zeyringer, Marianne
(2021).
Er de rekordhøye strømprisene verdt det?
Forskning.no.
ISSN 1891-635X.
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Mathisen, Siri Gulaker; Wolfgang, Ove; Andersen, Simon Brøndum; Andersen, Kristoffer Steen; Belsnes, Michael Martin & Haaskjold, Kristina
[Vis alle 16 forfattere av denne artikkelen]
(2022).
Increased electrification – new generators and consumers. Nordic Energy Outlooks - Final report WP2.
SINTEF Energi.
ISSN 978-82-594-3791-4.
Fulltekst i vitenarkiv
Se alle arbeider i Cristin
Publisert
9. jan. 2019 12:13
- Sist endret
9. jan. 2019 12:13