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Comparison of Scale in a Photosynthetic Reactor System for Algal Remediation of Wastewater
Published on: March 6, 2017
A conceptual scenario for the use of microalgae biomass for microgeneration in wastewater treatment plants
Renan Barroso Soares1, Marcio Ferreira Martins2, Ricardo Franci Gonçalves3
1Department of Environmental Engineering, Federal University of Espírito Santo, Full Address: Avenida Fernando Ferrari, 514, Goiabeiras, CEP 29075-910, Vitória, Espírito Santo, Brazil; Federal Institute of Education of Espírito Santo, Full Address: Avenida Min. Salgado Filho, 1000, Soteco, CEP 29106-010, Vila Velha, Espírito Santo, Brazil.
Abstract:
Microalgae are a potential source of biomass for the production of energy, which is why the amount of research on this topic has increased in recent years. This work describes the state of the art of microalgae production from wastewater treatment plants (WWTP), its potential to generate electricity and the scale in which it is possible. The methodology used was a systematic review of the gasification of microalgae from 49 articles selected. Based on the review, a conceptual scenario for microgeneration in WWTP using as feedstock microalgae for thermal gasification was developed. The most consistent assumptions for a real scale microgeneration are microalgae production in open ponds using domestic sewage as a nutritional medium; the use of the flocculation process in process of harvesting; microalgae to energy through thermal gasification process using a downdraft gasifier. Considering a WWTP with a 3000 m3/d flux capacity, 860 kg/d of dry microalgae biomass might be produced. For which, gasification has a production potential of 0.167 kWh/m3 of treated sewage, but the energy balance is compromised by the drying process. However, when the biogas produced in anaerobic treatment enter in the model, it is possible to add a surplus of electricity of 0.14 kWh/m3 of treated sewage. Finally, a cost estimate is made for the acquisition of drying and gasification-electricity generation systems. For this scenario, the results suggest that the investments may be financially returned after five years, with additional potential for further optimization.
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