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Robert Dillschneider

Researcher at Karlsruhe Institute of Technology

Publications -  5
Citations -  372

Robert Dillschneider is an academic researcher from Karlsruhe Institute of Technology. The author has contributed to research in topics: Phaeodactylum tricornutum & Algae fuel. The author has an hindex of 5, co-authored 5 publications receiving 329 citations.

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Journal ArticleDOI

Harvesting fresh water and marine algae by magnetic separation: Screening of separation parameters and high gradient magnetic filtration

TL;DR: This study highlights the potential of silica-coated magnetic particles for the removal of fresh water and marine algae by high gradient magnetic filtration and provides critical discussion on future improvements.
Journal ArticleDOI

Composition of Algal Oil and Its Potential as Biofuel

TL;DR: In this paper, the potential of algae oil to fulfill the EU sustainability criteria for biofuels is analyzed using lab tests and data gained by a pilot scale demonstrator combined with published data for well-known established processes.
Journal ArticleDOI

Biofuels from microalgae: photoconversion efficiency during lipid accumulation.

TL;DR: The measurement of the photoconversion efficiency (PCE) is based on a rigorous balancing of absorbed light energy and changes in the enthalpy of combustion of biomass during nutrient depletion and it was demonstrated that storage molecule accumulation follows kinetics that show saturation at high photon flux densities.
Book ChapterDOI

Closed Bioreactors as Tools for Microalgae Production

TL;DR: Three fundamental reactor designs (bubble columns, flat plate reactors, and tubular reactors) are common and are discussed together with some elaborate derivatives in the following and the integration of all beneficial characteristics and the compliance with energetic and economic constraints still imposes demanding challenges on engineering.
Journal ArticleDOI

A linear programming approach for modeling and simulation of growth and lipid accumulation of Phaeodactylum tricornutum.

TL;DR: This work describes a linear programming approach to model and simulate the growth and storage molecule accumulation of P. tricornutum and predicts that under nutrient limiting conditions both storage carbohydrates and lipids are synthesized simultaneously but at different rates.