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Evan Stephens

Researcher at University of Queensland

Publications -  21
Citations -  3530

Evan Stephens is an academic researcher from University of Queensland. The author has contributed to research in topics: Renewable energy & Hydrothermal liquefaction. The author has an hindex of 14, co-authored 21 publications receiving 3212 citations.

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Second generation biofuels: high-efficiency microalgae for biodiesel production

TL;DR: A review of second generation biodiesel production systems using microalgae can be found in this paper, where the main advantages of second-generation microalgal systems are that they: (1) have a higher photon conversion efficiency (as evidenced by increased biomass yields per hectare): (2) can be harvested batch-wise nearly all-year-round, providing a reliable and continuous supply of oil: (3) can utilize salt and waste water streams, thereby greatly reducing freshwater use: (4) can couple CO2-neutral fuel production with CO2 sequestration: (
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An economic and technical evaluation of microalgal biofuels

TL;DR: To evaluate claims and provide an accurate analysis of the potential of microalgal biofuel systems, industrial feasibility studies and sensitivity analyses based on peer-reviewed data and industrial expertise are conducted.
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Future prospects of microalgal biofuel production systems.

TL;DR: With a growing number of recent analyses demonstrating that despite the hype, integrated microalgal production systems are conceptually sound and potentially sustainable given the available inputs, the research areas that are key to attaining economic reality and the future development of the industry are reviewed.
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RNAi knock-down of LHCBM1, 2 and 3 increases photosynthetic H2 production efficiency of the green alga Chlamydomonas reinhardtii.

TL;DR: Improved H2 production efficiency was achieved at increased solar flux densities and high cell densities which are best suited for microalgae production as light is ideally the limiting factor and the overall improved photon-to-H2 conversion efficiency is suggested.
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Automated nutrient screening system enables high-throughput optimisation of microalgae production conditions.

TL;DR: An automated screen is described, to enable high-throughput optimisation of 12 nutrients for microalgae production, and identified the main nutrient effects on growth, pairwise nutrient interactions and the best production conditions of the sampled statistical space providing the basis for a targeted full factorial screen to assist with Optimisation of algae production.