Control strategy for maximum anaerobic co-digestion performance

García-Gen, Santiago; Rodríguez, Jorge; Lema, Juan M.

doi:10.1016/j.watres.2015.05.029

Cited by 25 publications

(16 citation statements)

References 24 publications

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“…The modification of the control strategy developed by Garcia-Gen et al (2015) 18 is presented in Figure 1. It comprises four blocks: (1) Substrates Blender, (2) Filter, (3) Diagnosis and (4) Controller.…”

Section: Control Strategy For Maximum Acod Performancementioning

confidence: 99%

“…Table 1 Set of restrictions and their initial boundaries considered for the optimisation method (adapted from Garcia-Gen et al (2015)). 18…”

Section: Optimum Substrates Blender Blockmentioning

confidence: 99%

“…Average methane flow is used as an indicator of the maximum methane production capacity of the system. Diagnosis function compares both measured diagnosis parameters (alkalinity ratio and methane production) against set-point values ( Figure 2) based on empirical correlations and explained in detail by García-Gen et al (2015) 18 . It returns two diagnosis factors based on these indicators: stability factor (fRatio, Figure 2A) and remaining methanogenic potential factor (fCH4, Figure 2B).…”

Section: Diagnosis Blockmentioning

confidence: 99%

“…12,14,15 Therefore, WWTPs operators prefer to prevent from damaging the microbial consortium, which is not adapted to the different substrates, what might interrupt or even stop the process. 16,17 To face this limitation, Garcia-Gen et al (2015) 18 developed a robust control system based on linear programming 19 with control principles. Despite this system was developed for an hybrid Upflow Anaerobic Sludge Blanket-Anaerobic Filter reactor to treat liquid wastes, it can be useful for other reactor configurations and solid co-substrates.…”

Section: Introductionmentioning

confidence: 99%

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An optimised control system to steer the transition from anaerobic mono- to co-digestion in full-scale plants

Taboada-Santos

Carballa

Morales

et al. 2019

Environ. Sci.: Water Res. Technol.

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Section: Control Strategy For Maximum Acod Performancementioning

confidence: 99%

“…Table 1 Set of restrictions and their initial boundaries considered for the optimisation method (adapted from Garcia-Gen et al (2015)). 18…”

Section: Optimum Substrates Blender Blockmentioning

confidence: 99%

Section: Diagnosis Blockmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An optimised control system to steer the transition from anaerobic mono- to co-digestion in full-scale plants

Taboada-Santos

Carballa

Morales

et al. 2019

Environ. Sci.: Water Res. Technol.

Self Cite

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“…Several monitoring, fault‐detection, and control systems have been developed for increased efficiency and the safe operation of anaerobic digesters, although few of them consider codigestion. In a recent article, an integrated system for optimizing the blending of several substrates and monitoring and controlling the efficiency and stability of the system was proposed . Anaerobic codigestion can offer a solid basis for a new conception of an energetically sustainable join treatment of municipal solids and liquid wastes.…”

Section: A New and Sustainable Concept Of Wwtps: Recovery Of Energy Amentioning

confidence: 99%

Advanced technologies for water treatment and reuse

et al. 2015

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Chemical and Biochemical Sensors, 2. Applications

Bârsan

Gauglitz

Oprea

et al. 2016

Ullmann's Encyclopedia of Industrial Chemistry

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The article contains sections titled: 1. Introduction 2. Chemical Sensors 2.1. Gas Sensors 2.1.1. Humidity Sensors 2.1.1.1. General Considerations 2.1.1.2. Humidity Sensors Types 2.1.1.3. Humidity Sensors in Applications 2.1.2. Semiconducting Metal Oxides 2.1.2.1. History and Current Status 2.1.2.2. Operation Principle and Materials 2.1.2.3. Fabrication Technology 2.1.2.4. Electronic Circuitries for Signal Generation 2.1.2.5. Sensor Properties and Specifications 2.1.2.6. Fields of Application 2.1.2.7. Future Trends 2.2. Electronic Noses and Tongues 2.2.1. Applications 2.2.2. Issues of Concern 2.2.3. Outlook 3. Biochemical Sensors 3.1. Assays 3.1.1. Assay Types and Flow Injection Analysis (FIA) 3.1.2. Marker–Label Free 4. Gas Sensors 4.1. Fields of Application 4.1.1. Indoor Air Quality Control 4.1.2. Indoor Gas Sensors for Toxic and Explosive Gases 4.1.3. Breath Gas Analysis 4.1.4. Automotive 4.2. Process Control 4.2.1. Industrial Process Sensors 4.2.1.1. Process Analytical Technology 4.2.1.2. Sensor Market 4.2.1.3. Sensors for Plant Safety 4.2.1.4. Requirements for Industrial Process Sensors 4.2.2. Sensor Integration in Process Environment 4.2.2.1. Sampling Systems 4.2.2.2. Sensor Communication 4.2.2.3. Feedback and Feedforward Control Loops 4.2.3. Application: Process Control in the Production of Renewable Energy 4.2.3.1. Biogas 4.2.3.2. Process Analytics during Fermentation and Purification 4.2.3.3. Process Analytics of Downstream Processes 4.2.3.4. Monitoring Quality Parameters and Perspectives 4.3. Point of Care Diagnostics 4.3.1. Introduction to Special Requirements 4.3.2. Areas of Application 4.3.2.1. Ambulance and Home Care 4.3.2.2. Personalized Medicine 4.3.2.3. Infections 4.3.2.4. POCT and Telemedicine 4.3.3. Devices 4.3.3.1. Lateral Flow 4.3.3.2. Benchtop 4.3.3.3. Lab‐on‐Chip Platforms 4.3.4. Trends and Perspectives 4.4. Environmental and Food Analytics 4.4.1. Introduction 4.4.1.1. Water Analysis 4.4.1.2. Food 4.4.2. Trends and Perspectives 4.5. Sensors with Multiplexing Approaches: Microplates and Microarrays 4.6. Further Applications 4.6.1. Special Fluorescence Sensor Applications 4.6.1.1. Blood Monitoring 4.6.1.2. Pressure Sensitive Paints 4.6.2. Mass Sensitive Sensors 4.6.2.1. Gas Phase 4.6.2.2. Liquid Phase 4.6.2.3. Biosensors

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Control strategy for maximum anaerobic co-digestion performance

Cited by 25 publications

References 24 publications

An optimised control system to steer the transition from anaerobic mono- to co-digestion in full-scale plants

An optimised control system to steer the transition from anaerobic mono- to co-digestion in full-scale plants

Advanced technologies for water treatment and reuse

Chemical and Biochemical Sensors, 2. Applications

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