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Die Messung des Chemischen Sauerstoffbedarfs (CSB) im Zulauf von Kläranlagen ist von zentraler Bedeutung für die Optimierung und Regelung der Abbauprozesse der Nitrifikation und Denitrifikation. Allerdings ist die Messung des CSB bislang sehr zeitaufwändig und kostenintensiv, da 24-Stunden Mischproben im Labor nasschemisch analysiert werden müssen.
Online-Messtechnik in Form von spektroskopischen Messgeräten (10.000 ̶ 20.000 €) oder nass-chemischen Online-Analysatoren (> = 50.000 €) sind insbesondere für kleine und mittlere Kläranlagen aus Kostengründen keine Alternative.
Eine extrem kostengünstige Alternative ist der im Folgenden beschriebene Softsensor für CSB im Kläranlagenzulauf, der auf Basis von Standardmesstechnik im Zulauf von kleinen und mittleren kommunalen Kläranlagen sowie mit zusätzlicher Online-Messtechnik für Trübung sowie Ammonium- und Nitratstickstoff (NH4-N und NO3-N) die aktuelle CSB-Konzentration bestimmt. Zur Entwicklung des Softsensors werden Regressionsmethoden aus dem Bereich des Machine Learning eingesetzt. Die Ergebnisse einer Entwicklungs- und Testphase an der Kläranlage Rospe in Gummersbach zeigen, dass die Werte des Softsensors sehr gut mit den Originaldaten übereinstimmen. Die Korrelationswerte beim Vergleich mit CSB-Messungen liegen bei der Regression mit Support Vector Regression bei 0,98 mit einem RSME von 2,45 mg/l.
In this paper a closed-loop substrate feed control for agricultural biogas plants is proposed. In this case, multi-objective nonlinear model predictive control is used to control composition and amount of substrate feed to optimise the economic feasibility of a biogas plant whilst assuring process stability. The control algorithm relies on a detailed biogas plant simulation model using the Anaerobic
Digestion Model No. 1. The optimal control problem is solved using the state-of-the-art multi-objective optimization method SMS-EGO. Control performance is evaluated by means of a set point tracking problem in a noisy environment.
Results show, that the proposed control scheme is able to keep the produced electrical energy close to a set point with an RMSE of 0.9 %, thus maintaining optimal biogas plant operation.
Mit Hilfe der Inline-ATR-FTIR-Spektroskopie im mittelinfraroten (MIR) Spektralbereich lassen sich gleich mehrere Prozessparameter für Biogasanlagen in Echtzeit und ohne Probenahme verfolgen. Die gemessenen Absorptionsspektren geben simultan Aufschluss über den Gehalt an flüchtigen organischen Säuren (FOS), die alkalische Pufferkapazität (TAC) und die Ammoniumstickstoff-Konzentration (NH4-N).
Dabei können unter Verwendung intelligenter Datenanalyseverfahren, wie z.B. Partial Least Squares (PLS), Regression oder Support Vector Regression (SVR) sowie in kontrollierter Laborumgebung, Vorhersagefehler (RMSECV) von 0.372 g/l (FOS: R2=0.971), 0.336 g/l (TAC: R2=0.996) und 0.171 g/l (NH4-N: R2=0.992) im Falle der PLS, bzw. 0.386, 0.259 und 0.110 g/l für die SVR erreicht werden.
Erste Inline-Messungen in einer Biomüllvergärungsanlage zeigen, dass die erwarteten Absorptionsbanden auch im Prozessbetrieb wiedergefunden werden können. Sie unterliegen jedoch einem ausgeprägten Temperatureinfluss, der bei der Quantifizierung dieser Prozessdaten berücksichtigt werden muss. Weiterführende Untersuchungen sind notwendig, um die Inline-Tauglichkeit des Messsystems unter Beweis zu stellen.
Online-measurement systems for agricultural and industrial AD plants – A review and practice test
(2014)
Online-measurement systems for AD plants in general are crucial to allow for detailed and comprehensive process monitoring and provide a basis for the development and practical application of process optimisation and control strategies.
Nevertheless, the online measurement of key process variables such as Volatile Fatty Acids (VFA) and Total Alkalinity (TA) has proven to be difficult due to extreme process conditions. High Total Solids (TS) concentrations and extraneous material often damage the sensors or have a strong negative impact on measurement quality and long-term behaviour.
Consequently, there is a need for new robust and accurate online-measurement systems.
The purpose of this paper is to give an overview of existing online-measurement systems, to present the current state of research and to show the results of practice tests at an agricultural and industrial AD plant. It becomes obvious that a broad variety of measurement solutions have been developed over the past few years, but that the main problem is the upscaling from lab-scale to practical application at full-scale AD plants. Results from the practice tests show that an online-measurement of pH, ORP, TS is possible.
Modern industrial biomass combustion plants are regulated by the power and/or combustion control. In this process, the implemented sensors collect the relevant measured data. The aim is to achieve ideal combustion with optimum efficiency and to minimize gas emissions. For this purpose, a group within the research project Metabolon developed new regulatory procedures in order to record the combustion process of a biomass combustion plant using a webcam. The recordings were evaluated automatically and were used for a better monitoring of the process. In addition, the webcam-based method aims, among other things, to provide private homes with a cost-effective variant as an alternative to industrial system solutions.
Anaerobic digestion plants have the potential to produce biogas on demand to help balance renewable energy production and energy demand by consumers. A proportional integral (PI) controller is constructed and tuned with a novel tuning method to control biogas production in an optimal manner. In this approach, the proportional part of the controller is a function of the feeding rate and system's degree of stability. To estimate the degree of stability, a simulation‐based soft sensor is developed. By means of the PI controller, the requirement for gas storage capacity of the digester is reduced by approximately 30 % compared to a constant, continuous feeding regime of the digester.
The management of the liquid fraction of digestate produced from the anaerobic digestion of biodegradable municipal solid waste is a difficult affair, as its land application is limited due to high ammonium concentrations and the municipal waste that water treatment plants struggle to treat due to high pollutant loads. The amount of leachate and the pollutant load in the leachate produced by landfills usually decreases with the time, which increases the capacity of landfill leachate treatment plants (LLTPs) to treat additional wastewater. In order to solve the above two challenges, the co-treatment of landfill leachate and the liquid fraction of anaerobic digestate in an industrial-scale LLTP was investigated along with the long-term impacts of the liquid fraction of anaerobic digestate on biocoenosis and its impact on LLTP operational expenses. The co-treatment of landfill leachate and liquid fraction of anaerobic digestate was compared to conventional leachate treatment in an industrial-scale LLTP, which included the use of two parallel lanes (Lane-1 and Lane-2). The average nitrogen removal efficiencies in Lane-1 (co-treatment) were 93.4%, 95%, and 92%, respectively, for C/N ratios of 8.7, 8.9, and 9.4. The average nitrogen removal efficiency in Lane-2 (conventional landfill leachate treatment), meanwhile, was 88%, with a C/N ratio of 6.5. The LLTP’s average chemical oxygen demand (COD) removal efficiencies were 63.5%, 81%, and 78% during phases one, two, and three, respectively. As the volume ratios of the liquid fraction of anaerobic digestate increased, selective oxygen uptake rate experiments demonstrated the dominance of heterotrophic bacteria over ammonium and nitrite-oxidising organisms. The inclusion of the liquid fraction of anaerobic digestate during co-treatment did not cause a significant increase in operational resources, i.e., oxygen, the external carbon source, activated carbon, and energy.
The introduction of Feed-in tariffs in the German Renewable Energy Act (EEG) fuelled the growth of anaerobic digestion (AD) industry making Germany the country with highest number of operational AD plants. However, the rapid expansion of AD industry resulted in some unwanted side-effects such as food vs fuel debate, increased prices for electricity and the temporal mismatch between supply and demand of electricity grid. Subsequent amendments in EEG has tried to address some of these issues by reduction in Feed-in tariffs, introduction of a cap on cereal based feedstocks and providing premium for energy production in accordance with market demand. Furthermore, the Feed-in tariffs which were introduced for 20 years are soon going to expire. The changes in legal and political discourse is soon going to introduce some new challanges to the AD industry. This paper has discussed some of these challanges and their potential solutions.
Das kooperative Praxisforschungsprojekt „momente. Politische Bildung und Offene Kinder- und Jugendarbeit in NRW“ des Forschungsschwerpunkts Nonformale Bildung an der TH Köln hat mit der Veröffentlichung einer Handreichung abgeschlossen. Sie liefert sowohl theoretisch-konzeptionelle als auch anwendungsorientierte Anregungen für eine alltagsorientierte politische Bildung für und in der Offenen Kinder- und Jugendarbeit. Die Handreichung ist in erster Linie als Arbeitshilfe für die Fachpraxis konzipiert.