Predictive modeling for energy recovery from sewage sludge gasification

Alberto Carotenuto, Simona Di Fraia, Nicola Massarotti, Szymon Sobek, M. Rakib Uddin, Laura Vanoli and Sebastian Werle

Energy, 2023, vol. 263, issue PB

Abstract: The analysis of the available literature highlights that the models proposed for gasification are calibrated and validated (at a single operating condition) for only one sample of sewage sludge (SS). In the present work, a numerical model of gasification, based on a restricted chemical equilibrium approach, is developed through the software Aspen Plus. The model is calibrated for one SS that is generated through the mechanical-biological-chemical treatment of wastewater (namely SS-A) and validated for another one that is produced by mechanical-biological processes in combination with phosphorous precipitation techniques (namely SS-B). The novelty consists in considering different sludge samples, one for calibration of the model and one for its validation. Calibration and validation (for five different operating conditions) are based on experimental data on syngas generation in a fixed-bed gasifier under laboratory conditions. The developed gasification model is used to identify optimum temperature (900 °C) and equivalence ratio (0.2) through sensitivity analyses. Then the model is used to assess the combined heat and power generation potentiality of SS by integrating a gasifier with an internal combustion engine. This potentiality is predicted to be 2.19 and 2.53 kWh/kg SS as dry solid for SS-A and SS-B respectively. Energy recovery from SS through the proposed solution may supply around 50% of electrical energy demand to run wastewater treatment plants and from 60 to 75% of thermal energy needed for thermal drying of mechanically dewatered SS for gasification.

Keywords: Sewage sludge; Gasification; Syngas; Modeling; Aspen plus; CHP (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:263:y:2023:i:pb:s0360544222027244

DOI: 10.1016/j.energy.2022.125838

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