2019
DOI: 10.12688/gatesopenres.12929.1
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Towards an off-grid fecal sludge treatment unit: demonstrating energy positive thermal treatment

Abstract: Background: There is an unmet demand for community-scale fecal sludge treatment units (FSTUs) that serve communities of between 1,000 and 50,000 people and are able to operate in non-sewered and off-grid environments. An emerging industry standard for FSTUs includes as a key criteria energy independence in steady-state. Theoretically, there is sufficient thermal energy available in fecal sludge to provide the electrical power needed to run the FSTU. However, such a system had never been implemented. Methods: B… Show more

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Cited by 1 publication
(4 citation statements)
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“…According to the manufacturer, the Biogenic Refinery can process feedstock at a rate of 18 kg·h –1 (moisture content of 35%). We used empirical models for the Biogenic Refinery based on information from the design team, their pilot systems, and a laboratory study of the system . These included assumptions that the pyrolysis process liberates embedded energy from fecal sludge for drying and generation of electrical energy.…”
Section: Methodsmentioning
confidence: 99%
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“…According to the manufacturer, the Biogenic Refinery can process feedstock at a rate of 18 kg·h –1 (moisture content of 35%). We used empirical models for the Biogenic Refinery based on information from the design team, their pilot systems, and a laboratory study of the system . These included assumptions that the pyrolysis process liberates embedded energy from fecal sludge for drying and generation of electrical energy.…”
Section: Methodsmentioning
confidence: 99%
“…We used empirical models for the Biogenic Refinery based on information from the design team, their pilot systems, and a laboratory study of the system. 41 These included assumptions that the pyrolysis process liberates embedded energy from fecal sludge for drying and generation of electrical energy. The dryer is assumed to provide the necessary heat to reduce the moisture content from feedstock from 85 to 35%.…”
Section: Decision Variablesmentioning
confidence: 99%
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