Anibal Salvador Ferro

Mr. Anibal Salvador Ferro

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Research Focus & Metrics

Academic Career Length

1Year (2026-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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31 August 2026 in Automation
Verified
Journal Article
Open access
PDF file
Yoisdel CastilloYoisdel Castillo
Yoisdel Castillo
AFAnibal Salvador Ferro
Anibal Salvador Ferro
DCDeyvi Gair Baltazar Cari
Deyvi Gair Baltazar Cari
Reinier Jiménez BorgesReinier Jiménez Borges
Reinier Jiménez Borges
CVCarlos Diego Patiño Vidal
Carlos Diego Patiño Vidal
RMRoberto Pfuyo Muñoz
Roberto Pfuyo Muñoz
The automation of biodigesters using programmable logic controllers (PLCs) is well established, yet mixing schedules are configured empirically, regardless of substrate characteristics. This study proposes a Substrate-Driven PLC Control (SD-PLC) methodology for fixed-dome biodigesters, in which every timing setpoint is derived from a measured substrate property: the homogenization pulse from the rheological mixing time (Metzner–Otto regime), the maintenance interval from a stratification and a substrate–biomass contact criterion, the duty-cycle ceiling from a net energy balance, and a safety gate from acid–base behavior (pH/EC). The methodology is instantiated on a 13.86 m3 fixed-dome biodigester in the Chillón Valley (Lima, Peru), co-digesting organic waste and guinea pig manure (30:70; theoretical methane potential 371 mL CH4 g−1 VS; field conversion ≈ 21%). The impeller operates in the transitional regime (Re≈0.9–2.6×103), the homogenization pulse is ≈22 min, and the reconciled duty cycle (δ≈0.13) remains a factor of four below the energy ceiling (δ*≈0.56). An influence × feasibility matrix identifies a low-cost sensor set (pH, electrical conductivity, temperature, level) that gates mixing. A reduced COD-based dynamic model shows that, under acid shock, continuous mixing suppresses methanogenesis through shear while the absence of mixing fails through contact deficit, so that only the stability-first strategy preserves the process. The principal contribution is the methodology itself—a reproducible mapping from substrate characterization to PLC timing design—rather than the hardware.