Author: Bengt J. Olsson
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Substituting fossil energy in the European power system – a contrafactual experiment
Bengt J. OlssonLinkedIn: beosX/Twitter: @bengtxyz In 2025, Europe consumed about 770 TWh of electricity produced from fossil fuel sources (excluding “behind-the-meter” generation). The associated CO₂ emissions are on the order of 600 Mt per year. While this is less than 2% of global emissions, it is clearly desirable to minimize – or completely eliminate – this type…
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Prisprestanda för kraftslag i Sverige 2025
Bengt J. OlssonLinkedIn: beosX/Twitter: @bengtxyz Nedan följer en kort redovisning av capture prices (“fångstpriser”) för de huvudsakliga kraftslagen i utvalda elprisområden inom Sverige under 2025. Produktions och prisdata är tagna från ENTSO-E Transparency Platform, omräknat till timdata (efter att 15-minuters avräkning infördes under Oktober). Capture price för ett kraftslag beräknas som:Capture price=∑(DA_price×volume)∑volume\text{Capture price} = \frac{\sum (\text{DA\_price} \times \text{volume})}{\sum…
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Balancing Europe’s Power System
Bengt J. OlssonLinkedIn: beosX/Twitter: @bengtxyz Looking at aggregated data from Energy-Charts can provide valuable system-level insights. In this analysis, focus is on the ALL Europe dataset, which aggregates electricity production and consumption across all European countries covered by Energy-Charts. This results in a very large and rich dataset. Since all included countries are electrically interconnected (unfortunately Great…
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Effects of an Internal Constraint in Flow-Based Welfare Maximization
Bengt J. OlssonLinkedIn: beosX/Twitter: @bengtxyz The three-zone market model with flow-based constraints is a simple, yet non-trivial, framework for analysing how network constraints affect welfare maximization — and consequently prices, flows, and congestion income. It describes a market with three connected zones, where one zone also has an internal congestion. All zones have the same demand, but…
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Buckminster Fuller and the Climate/Energy debate
Bengt J. OlssonX: @bengtxyz LinkedIn: beos Fullerens and “buckyballs” As a PhD student in Orsay, just south of Paris, in the summer of 1986, I had the pleasure of meeting Professor Harry Kroto — who later became Sir Harry and a Nobel Laureate in Chemistry. His team had, more or less by serendipity, discovered the C₆₀ molecule: a…
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BEKEN modellen – kort analys
Bengt J. OlssonX: @bengtxyz LinkedIn: beos Inledning: Vad BEKEN försöker göra – och varför det är svårt Diskussionen om hur den svenska elmarknaden ska prissättas i relation till export är ständigt aktuell. Ett av de förslag som återkommit i debatten är den så kallade BEKEN-modellen, ibland även kallad ”Sverigepriser”. Grundidén är tilltalande: att skydda svenska elkunder från höga…
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Alternative energy solutions for Ireland 2050
🇮🇪 Bengt J. OlssonX: @bengtxyz LinkedIn: beos How can an island like Ireland reach net-zero by 2050? In the modelling here, two distinct pathways are presented – one fully renewable, and one with a significant nuclear share. Ireland is a particularly interesting case for energy system modelling. As an island, it requires a high degree of self-sufficiency in…
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Europe’s energy system 2050, a simple sector-coupled model
Bengt J. OlssonX: @bengtxyz LinkedIn: beos In this post, we examine a sector-coupled model of a future European energy system.The model includes three major energy carriers: electricity, hydrogen, and heat. It is based on hourly data (17,544 hours) from the All-Europe dataset of EnergyCharts for 2023–2024. The setup is a copper-plate model, meaning transmission constraints are ignored. This…
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Prisanomali pga öst-västlig flaskhals i SE3
Bengt J. OlssonX: @bengtxyz LinkedIn: beos Aleksei Seleznev från Montel gör en riktigt intressant analys av flödena mellan SE2-SE3-SE4 i den här LinkedIn posten. I den kan man observera att SE3 priset påfallande ofta är ganska exakt lika med medelvärdet mellan priset av SE2 och SE4. Hur ska man förklara detta? Det är ganska intrikata orsakssamband, men genom…
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Two contrasting scenarios for a fossil free Europe 2050
Bengt J. OlssonX: @bengtxyz LinkedIn: beos Contents:Model and ObjectivesScenario 1: Wind + Solar + HydrogenScenario 2: Nuclear + HydrogenObservations and Key findingsFully optimized systemAppendix 1: Cost AssumptionsAppendix 2: Overprovisioning vs Storage?Appendix 3: Seasonal load variation Sometimes it’s useful to take a step back for a broader perspective. Today’s energy system models are often highly complex and rely on…
