Freshwater and marine microalgae sequestering of CO2 at different C and N concentrations – Response surface methodology analysis-Reference-Cited by-同舟云学术

Freshwater and marine microalgae sequestering of CO2 at different C and N concentrations – Response surface methodology analysis

Published:2009-02 Issue:2 Volume:50 Page:262-267
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Bilanovic Dragoljub,Andargatchew Arsema,Kroeger Tim,Shelef Gedaliahu

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference33 articles.

1. IPCC, Intergovernmental panel on climate change – Fourth assessment report – climate change; 2007. .

2. EIA. Energy Information Administration – International Energy Annual 2004. May–July 2006. .

3. Global and regional drivers of accelerating CO2 emissions;Raupach;PNAS,2007

4. NOAA. Earth system research laboratory; 2007. 12/05/2007.

5. Rao Anad B. Technologies: separation and capture. In: Wilson Elizabeth J, Gerard David. Carbon capture and sequestration: integrating technology, monitoring and regulation, Blackwell Publishing LTD, Oxford UK, ISBN-13: 978-0-8138-0207-7; 2007. p. 12.

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