Events at Department of Energy Technology

PhD defence by Eliana Lozano Sanchez

Time

24.09.2021 kl. 13.00 - 16.00

Description

Eliana Lozano Sanchez, AAU Energy, will defend the thesis "Modeling of HTL-based Biorefineries for Advanced Biofuels Production - Prospects in Integrated Energy Systems"

TITLE

Modeling of HTL-based Biorefineries for Advanced Biofuels Production - Prospects in Integrated Energy Systems

PHD DEFENDANT

Eliana Lozano Sanchez

SUPERVISOR

Associate Professor Thomas Helmer Pedersen

CO-SUPERVISOR

Professor Lasse Rosendahl

MODERATOR

Associate Professor Samuel Araya

OPPONENTS

Professor Henrik Lund, Aalborg University, Denmark (Chairman)
Associate Professor Lasse Røngaard Clausen, DTU-Technical University of Denmark
Professor Martin Juninger, Utrecht University

ABSTRACT

The aim of this thesis is to contribute to the modeling methodologies used in techno-economic assessments of the hydrothermal liquefaction technology (HTL), applicable to the analysis of other thermochemical processes for advanced biofuels production, with focus on technology integration in renewable energy systems. 
Techno-economic evaluations to date have already shown the potential of HTL to efficiently convert residual biomass into advanced biofuels, however, in general these present a ‘finished picture’ of specific process configurations that make difficult to elucidate central aspects of the HTL technology and to apply the results in a broader context of integrated energy systems.  In order to address this limitation, the first part of this work discusses the modeling of the HTL baseline with hydrogenation with focus on energy calculations, which are further used in the thesis to build more elaborated process configurations of HTL-based biorefineries. The research developed looks more particularly into HTL of forestry residues and sewage sludge in the context of negative emission technologies (NETs) and urban waste management, using case studies to assess its techno-economic and environmental performance. 
The main findings show that, for the forestry residues case, HTL has potential to perform as NET by decreasing GHG emissions from 85 to 102 % compared to the fossil baseline, with an increase in the MFSP of the bio-crude estimated within the 5 % based on 2021 EU ETS levels. In the sewage sludge case study, HTL shows potential to be a more economical method for sludge treatment compared to mono-incineration, with emissions reductions between 82-95 % including the displacement of fossil fuels in the analysis. 
Besides providing modeling tools that are publicly available and applicable to different biomass types, the results of this thesis contribute to the state of the art on HTL and can be used as a basis for more detailed evaluations of future HTL- BECCS/BECCU platforms.

 

THE DEFENCE will be IN ENGLISH - all are welcome.

 

Host

AAU Energy