Tel Aviv, Israel
Tel Aviv, Israel

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Koberg M.,Bar - Ilan University | Cohen M.,Seambiotic Ltd. | Ben-Amotz A.,Seambiotic Ltd. | Gedanken A.,Bar - Ilan University
Bioresource Technology | Year: 2011

This work offers an optimized method for the direct conversion of harvested Nannochloropsis algae into bio-diesel using two novel techniques. The first is a unique bio-technology-based environmental system utilizing flue gas from coal burning power stations for microalgae cultivation. This method reduces considerably the cost of algae production. The second technique is the direct transesterification (a one-stage method) of the Nannochloropsis biomass to bio-diesel production using microwave and ultrasound radiation with the aid of a SrO catalyst. These two techniques were tested and compared to identify the most effective bio-diesel production method. Based on our results, it is concluded that the microwave oven method appears to be the most simple and efficient method for the one-stage direct transesterification of the as-harvested Nannochloropsis algae. © 2010 Elsevier Ltd.

Psycha M.,National Technical University of Athens | Pyrgakis K.,National Technical University of Athens | Harvey P.J.,University of Greenwich | Ben-Amotz A.,Seambiotic Ltd | And 2 more authors.
Computer Aided Chemical Engineering | Year: 2014

The study discusses the development of an integrated process that addresses the coproduction of glycerol, β-carotene and proteins from microalgae biomass using a multitude of solvents and scoping to reduce energy consumption. An evolutionary approach is adopted in order to establish feasible and sustainable flowsheeting. Process integration is applied to target efficiency scoping reviewing thermal integration and the use of alternative separation schemes. The analysis reviews economic benefits as well as the impact of process integration in securing the viability of the incentive. © 2014 Elsevier B.V.

Passell H.,Sandia National Laboratories | Dhaliwal H.,EarthShift LLC | Reno M.,Sandia National Laboratories | Wu B.,Sandia National Laboratories | And 6 more authors.
Journal of Environmental Management | Year: 2013

Autotrophic microalgae represent a potential feedstock for transportation fuels, but life cycle assessment (LCA) studies based on laboratory-scale or theoretical data have shown mixed results. We attempt to bridge the gap between laboratory-scale and larger scale biodiesel production by using cultivation and harvesting data from a commercial algae producer with ~1000m2 production area (the base case), and compare that with a hypothetical scaled up facility of 101,000m2 (the future case). Extraction and separation data are from Solution Recovery Services, Inc. Conversion and combustion data are from the Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation Model (GREET). The LCA boundaries are defined as "pond-to-wheels". Environmental impacts are quantified as NER (energy in/energy out), global warming potential, photochemical oxidation potential, water depletion, particulate matter, and total NOx and SOx. The functional unit is 1MJ of energy produced in a passenger car. Results for the base case and the future case show an NER of 33.4 and 1.37, respectively and GWP of 2.9 and 0.18kg CO2-equivalent, respectively. In comparison, petroleum diesel and soy diesel show an NER of 0.18 and 0.80, respectively and GWP of 0.12 and 0.025, respectively. A critical feature in this work is the low algal productivity (3g/m2/day) reported by the commercial producer, relative to the much higher productivities (20-30g/m2/day) reported by other sources. Notable results include a sensitivity analysis showing that algae with an oil yield of 0.75kg oil/kg dry biomass in the future case can bring the NER down to 0.64, more comparable with petroleum diesel and soy biodiesel. An important assumption in this work is that all processes are fully co-located and that no transport of intermediate or final products from processing stage to stage is required. © 2013 Elsevier Ltd.

Seambiotic Ltd. | Date: 2011-09-06

System and method are provided for treating materials in a liquid in a pool having a bottom, using at least one of a stirring device, a brushing device and a wiping device, and an automatic moving arrangement configured for moving any of these devices in the pool. The stirring device comprises at least one wing having a longitudinal axis and at least two bottom contacting elements spaced from each other along the longitudinal axis of the wing so that, when the wing is in such close proximity to the bottom of the pool that the contacting elements contact its bottom, the contact of the wing with the bottom is prevented by the contacting elements.

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