E
Eva Thorin
Researcher at Mälardalen University College
Publications - 157
Citations - 3317
Eva Thorin is an academic researcher from Mälardalen University College. The author has contributed to research in topics: Biogas & Energy and environmental engineering. The author has an hindex of 29, co-authored 153 publications receiving 2634 citations. Previous affiliations of Eva Thorin include Royal Institute of Technology.
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Methane production through anaerobic digestion: Participation and digestion characteristics of cellulose, hemicellulose and lignin
TL;DR: A deeper understanding of the mechanism in the bioconversion of lignocellulosic biomass during anaerobic digestion is provided and it is shown that hemicellulose was hydrolysed more quickly than cellulose, while lignin was very difficult to be digested.
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Property impacts on Carbon Capture and Storage (CCS) processes: A review
TL;DR: The knowledge of thermodynamic and transport properties of CO2-mixtures is important for designing and operating different processes in carbon capture and storage systems as mentioned in this paper, and a literature survey is presented in this paper.
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Effects of mixing on the result of anaerobic digestion: Review
TL;DR: In this article, an anaerobic digester is used to keep the solids in suspension and homogenize the incoming feed with the active microbial community of the digester content.
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Long-term optimization of cogeneration systems in a competitive market environment
TL;DR: In this paper, a tool for long-term optimization of cogeneration systems based on mixed integer linear-programming and Lagrangian relaxation is developed that is used without heuristics to solve the optimization problem of the unit commitment problem and load dispatch.
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Comparison of Correlations for Predicting Thermodynamic Properties of Ammonia–Water Mixtures
Eva Thorin,Eva Thorin +1 more
TL;DR: Tillner-Roth and Friend as discussed by the authors have presented a new correlation for the thermodynamic properties of ammonia-water mixtures, which has been compared to other correlations used in simulations of power cycles using ammonia and water mixtures as working fluids.