• Superchilling of organic food Part 2: Storage test with superchilled organic salmon and pork chops 

      Claussen, Ingrid Camilla; Gullsvåg, Per Egil; Bantle, Michael; Tolstorebrov, Ignat; Kvalsvik, Karoline Husevåg (SINTEF Energi. Rapport;TR A7629, Research report, 2017)
      Superchilling of organic salmon fillets and pork chop was investigated and the potential of the concept was documented for the organic sector, especially SMEs. Relative shelf life extensions of 14 days were documented for ...
    • Superchilling, ice fraction and quality 

      Stevik, Astrid; Haugen, Nils Erland L; Duun, Anne Sissel; Walnum, Harald Taxt; Nordtvedt, Tom Ståle (Chapter; Peer reviewed, 2010)
    • Superconducting Cables for Europe’s Energy Transition 

      Marian, Adela; Allais, Arnaud; Bruzek, Christian-Eric; Creusot, Christophe; Magnusson, Niklas (Chapter, 2023)
      SCARLET, “Superconducting CAbles foR sustainabLe Energy Transition”, is a new Horizon Europe project funded for a duration of 4.5 years. The goal of the project is to develop and industrially manufacture superconducting ...
    • Supersaturation in hydropower installations 

      Vilberg, Ingrid; Szabo-Meszaros, Marcell; Pulg, Ulrich; Velle, Gaute (Research report, 2023)
      Gas supersaturation occurs when the amount of dissolved gas in water exceeds the solubility for the given local pressure. Such conditions may happen in natural watercourses, but more observations are associated with ...
    • Supersaturation in hydropower installations 

      Vilberg, Ingrid Kristine; Szabo-Meszaros, Marcell; Pulg, Ulrich; Velle, Gaute (SINTEF Energi. Rapport;, Research report, 2023)
      Gas supersaturation occurs when the amount of dissolved gas in water exceeds the solubility for the given local pressure. Such conditions may happen in natural watercourses, but more observations are associated with ...
    • Supporting the implementation of renewable energy technologies in the road infrastructure - ENROAD 

      Pascual-Muñoz, Pablo; Vignisdottir, Hrefna Run; Somohano, Francisco; Acosta, Andrés; Sáinz, Eugenio; Torsæter, Bendik Nybakk (Peer reviewed; Journal article, 2023)
      Achieving 2030 targets of reduction of emissions and increase of energy generation from renewable sources require of the participation of the sectors with a greater impact on the environment, those highly contributing to ...
    • Surface charging of dielectric barriers in short rod-plane air gaps – experiments and simulations 

      Meyer, Hans Kristian Hygen; Blaszczyk, Andreas; Schueller, Michael; Mauseth, Frank; Pedersen, Per Atle (Chapter; Peer reviewed, 2018)
      Surface charging of dielectric barriers in short rod-plane air gaps – experiments and simulations
    • Surface charging of dielectric barriers under positive lightning impulse stress 

      Hygen Meyer, Hans Kristian; Mauseth, Frank; Pedersen, Per Atle; Husøy, Martine (Chapter; Peer reviewed, 2017)
    • Surveillance and condition monitoring of offshore wind turbines : D5.2-47 

      Welte, Thomas Michael (SINTEF Energi. Rapport;TR A7553, Research report, 2016-02-02)
      This report summarizes results from the activities on surveillance and condition monitoring in work packages WP 5 (2009-2014) and WP B (2015) in the NOWITECH research centre. The research covered both condition monitoring ...
    • Sustainable energy technologies for the Global South: challenges and solutions toward achieving SDG 7 

      Ng Kay Lup, Andrew; Soni, Vikram; Keenan, Benjamin; Son, Jaewon; Ramezani Taghartapeh, Mohammad; Menezes Morato, Marcelo; Poya, Yalinu; Mocholí Montañés, Rubén (Peer reviewed; Journal article, 2023)
      The United Nations (UN) expectations for 2030 account for a renewable, affordable, and eco-friendly energy future. The 2030 agenda includes 17 different Sustainable Development Goals (SDGs) for countries worldwide. In this ...
    • Switching sequences for non-predictive declutching control of wave energy converters 

      Garcia Rosa, Paula Bastos; Fosso, Olav B; Molinas Cabrera, Maria Marta (Peer reviewed; Journal article, 2021)
      Aiming at improving the energy absorption from waves, a number of studies have considered declutching control - a phase-control method that consists of disengaging the power take-off (PTO) system from the oscillating body ...
    • Synchronization Controller for Seamless Interconnection of Mirogrids with Heterogeneous Sources 

      Gupta, Amit; Sekhar, P.C.; Degefa, Merkebu Zenebe; Klemets, Jonatan Ralf Axel; D'Arco, Salvatore (Chapter; Peer reviewed, 2023)
      Microgrids are becoming inevitable establishments in modern power systems, may be to address energy needs in remote locations or to improve resiliency or for any other reason in the smart grid scenario. Over the time, ...
    • Syngas Production, Storage, Compression and Use in Gas Turbines 

      Yang, Minjiao; Yang, Haiping; Zhou, Hewen; Yang, Qing; Zhao, Haibo; Gul, Eid; Khan, Mohsin Ali; Skreiberg, Øyvind; Wang, Liang; Chao, He; Bartocci, Pietro; Slopiecka, Katarzyna; Bidini, Gianni; Fantozzi, Francesco (Biofuels and Biorefineries;10, Chapter; Peer reviewed, 2020)
      This chapter analyses syngas production through pyrolysis and gasification, its compression and its use in gas turbines. Syngas compression can be performed during or after thermal treatment processes. Important points are ...
    • Synthetic turbulence modelling for offshore wind farm engineering models using coherence aggregation 

      Chabaud, Valentin Bruno (Peer reviewed; Journal article, 2023)
      Turbulent wind fields are known to be a major driver for structural loads and power fluctuations on offshore wind turbines. At the single-turbine scale, there exist well-established design standards based on wind spectra ...
    • System impact of heat exchanger pressure loss in ORCs for smelter off-gas waste heat recovery 

      Nikolaisen, Monika; Andresen, Trond (Peer reviewed; Journal article, 2021)
      Applying Rankine cycles to smelter off-gas could increase the required off-gas fan power in an order of magnitude equivalent to the power production. Predicting the fan power is not straightforward since it is affected in ...
    • System impact studies for near 100% renewable energy systems dominated by inverter based variable generation 

      Holttinen, Hannele; Kiviluoma, Juha; Flynn, Damian; Smith, Charles; Orths, Antje; Eriksen, Peter Børre; Cutululis, Nicolaos Antonio; Söder, Lennart; Korpås, Magnus; Estanqueiro, Ana; MacDowell, Jason; Tuohy, Aidan; Vrana, Til Kristian; O'Malley, Mark (Peer reviewed; Journal article, 2020)
      The demand for low carbon energy calls for close to 100% renewable power systems, with decarbonization of other energy sectors adding to the anticipated paradigm shift. Rising levels of variable inverter-based renewable ...
    • System model derivation of the CO2 two-phase ejector based on the CFD-based reduced-order model 

      Haida, Michal; Smolka, Jacek; Hafner, Armin; Ostrowski, Zeimowit; Palacz, Michal; Nowak, Andrzej J.; Banasiak, Krzysztof (Journal article; Peer reviewed, 2018)
      The developed reduced-order model (ROM) of the R744 two-phase ejector was presented in this paper. The proper orthogonal decomposition (POD) model was employed together with the radial basis function (RBF) to evaluate the ...
    • A Systematic Method for Membrane CO2 Capture Modeling and Analysis 

      Roussanaly, Simon; Lindqvist, Karl; Anantharaman, Rahul; Jakobsen, Jana Poplsteinova (Peer reviewed; Journal article, 2014)
      This work presents a new systematic methodology for the design and optimization of membrane systems for CO2 capture integrating both technical and cost models. In this methodology, graphical solutions to the separation ...
    • A systematic review of machine learning techniques related to local energy communities 

      Hernandez-Matheus, Alejandro; Löschenbrand, Markus; Berg, Kjersti; Fuchs, Ida; Aragüés-Peñalba, Mònica; Bullich-Massagué, Eduard; Sumper, Andreas (Peer reviewed; Journal article, 2022)
      In recent years, digitalisation has rendered machine learning a key tool for improving processes in several sectors, as in the case of electrical power systems. Machine learning algorithms are data-driven models based on ...
    • T3.1 Future market structures and prices : workshop summary 

      Schäffer, Linn Emelie (Research report, 2017)