Paul Chambonniere

Paul Chambonniere
Aix-Marseille Université | AMU

Doctor of Engineering

About

12
Publications
919
Reads
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143
Citations
Citations since 2017
11 Research Items
131 Citations
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2017201820192020202120222023051015202530
2017201820192020202120222023051015202530
2017201820192020202120222023051015202530
Additional affiliations
December 2020 - present
Atomic Energy and Alternative Energies Commission
Position
  • PostDoc Position
November 2019 - August 2020
Universidad de Valladolid
Position
  • PostDoc Position
Description
  • Piloting the development of algal reactors for the investigation of metal and emerging pollutants removal during algae based wastewater treatment, developing pathogen analysis skillset in the laboratories of the Instituto de Procesos Sostenibles.
April 2018 - April 2019
Massey University
Position
  • Research Assistant
Description
  • Consultancy work for Veolia Water Australia Pty. Prediction of algae concentration and water turbidity using SWARM® buoy live data (remote sensors developed by Veolia)

Publications

Publications (12)
Article
Full-text available
While there is growing evidence that High Rate Algal Ponds (HRAPS) can support disinfection during wastewater treatment, the mechanisms of pathogen removal involved remain unclear. Based on previous findings, the present study aimed at verifying the occurrence and significance of dark decay, alkaline-pH toxicity, and sunlight direct damage in condi...
Article
Full-text available
Large-scale microalgae cultivation for biofuel production is currently limited by the possibility of maintaining high microalgae yield and high lipid content, concomitantly. In this study, the physiological changes of Chlorella vulgaris NIES 227 during lipid accumulation under nutrient limitation was monitored in parallel with the photosynthetic ca...
Article
Full-text available
While high rate algal ponds (HRAPs) can provide efficient pathogen removal from wastewater, the mechanisms involved remain unclear. To address this knowledge gap, the mechanisms potentially causing Escherichia coli ( E . coli ) removal during microalgae-based wastewater treatment were successively assessed using laboratory microcosms designed to is...
Article
Full-text available
High-rate algae ponds (HRAPs) are wastewater treatment systems that enable combining cost-efficient secondary treatment at small scale with the production of a harvestable biomass for subsequent valorisation (e.g. biofuel). However, there is still limited data on pathogen removal during long-term HRAP operation with real effluents. This critical re...
Article
Escherichia coli (E. coli) first-order decay rates ranging from 3.34 to 11.9 d−1 (25–75% data range, N = 128) were recorded in two outdoor pilot-scale (0.88 m3) high rate algal ponds (HRAPs) continuously fed primary domestic wastewater over two years (influent E. coli cell count of 4.74·106 ± 3.37·106 MPN·100 mL−1, N = 142). The resulting removal p...
Article
In order to determine if nitrous oxide (N2O) emissions could affect the sustainability of microalgae-based pond systems, N2O emissions were recorded from an outdoor 900 L pilot high rate algal pond (HRAP) fed primary wastewater over 1 year. The HRAP was mixed using a paddle wheel and operated at a hydraulic retention time (HRT) of 7.5–10 days. Dire...
Thesis
Little is known about the mechanisms and magnitude of pathogen disinfection in High Rate Algal Ponds (HRAPs). However, maturation ponds are used worldwide for wastewater disinfection, and pathogens can experience similar environmental conditions in maturation ponds and HRAPs. The literature suggests that pathogen removal in maturation ponds is prim...
Chapter
Algae cultivation consumes energy and water, requires land, and can generate N2O emissions. Because the magnitude and relevance of these environmental impacts depend on each process location, design, and operation, assessing and benchmarking the environmental performance of algal biotechnologies requires careful and specific quantifications in cont...
Article
A new biomass productivity model was parameterized for Chlorella vulgaris using short-term (<30 min) oxygen productivities from algal microcosms exposed to 6 light intensities (20-420 W/m(2) ) and 6 temperatures (5-42°C). The model was then validated against experimental biomass productivities recorded in bench-scale photobioreactors operated under...

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