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E 1.2: Multi-layer drying models for optimising high value crop drying in small scale food industries

Description: Das Projekt "E 1.2: Multi-layer drying models for optimising high value crop drying in small scale food industries" wird vom Umweltbundesamt gefördert und von Universität Hohenheim, Institut für Agrartechnik, Fachgebiet Agrartechnik in den Tropen und Subtropen durchgeführt. Fruit tree cultivation is a suitable option for erosion control in mountainous regions of Southeast Asia. However, seasonal overproduction and insufficient access to markets can cause economic losses. The possibility of processing fruits locally could contribute considerably to increase and stabilize farm income. Currently, fruit drying methods in these areas are yielding products of inferior quality. Pre-treatments such as sulphurizing are commonly used, but can make the product undesirable for international markets. In addition, high energy requirements increase production costs significantly. Therefore, the objective of subproject E1.2 is to optimize the drying process of small-scale fruit processing industries in terms of dryer capacity, energy consumption and efficiency and end product quality. During SFB-phase II in E1.1, drying fundamentals for the key fruits mango, litchi and longan were established. In laboratory experiments, impacts of drying parameters on quality were investigated and numerical single-layer models for simulation of drying kinetics have been designed. In SFB-phase III this knowledge will be expanded with the aim of optimizing practical drying processes. Therefore, the single-layer models will be extended to multi-layer models for simulating bulk-drying conditions. The Finite Element Method (FEM) will be adapted to calculate heat and mass transfer processes. Thermodynamic behavior of batch and tray dryers will be simulated using Computational Fluid Dynamics (CFD) software. Drying facilities will be optimized by systematic parameter variation. For reduction of energy costs, the potential of solar energy and biomass will be investigated in particular. Further research approaches are resulting from cooperation with other subprojects. A mechanic-enzymatic peeling method will be jointly used with E2.3 for studying the drying behavior of peeled litchi and longan fruits. Furthermore, a fruit maturity sensor based on Acoustic Resonance Spectroscopy (ARS) will be developed in cooperation with E2.3 and B3.2. Finally, an internet platform will be built for exchange of farmer-processor information about harvest time and quantities to increase utilization of the processing facilities.

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SupportProgram

Origin: /Bund/UBA/UFORDAT

Tags: Terahertz-Strahlung ? Getreide ? Obstbau ? Obstbaum ? Akustik ? Lebensmittelindustrie ? Prozesswärme ? Sensor ? Skigebiet ? Solarenergie ? Strömungstechnik ? Thermodynamik ? Internet ? Erosionsschutz ? Fruchtqualität ? Landwirtschaftlicher Betrieb ? Software ? Spektralanalyse ? Südostasien ? Schaden ? Energieverbrauch ? Gewerbebetrieb ? Informationsvermittlung ? Kostensenkung ? Kostensteigerung ? Energiebedarf ? Energiekosten ? Management ? Trocknung ? Tropengebiet ? Weltmarkt ? Wirkungsgrad ? Laborversuch ? Modellversuch ? Minderungspotenzial ? Einkommen ? Wirkung ? Frucht ? Rechtsverfahren ? Produktionskosten ? Wirkungsmodell ? Agrartechnik ? Lebensmittel ? Produkt ? Biomasse ? Stofftransport ? Forschung ? Forschungskooperation ? Zusammenarbeit ? Planung ? Anlage ? Gebirge ? Änderung ? Markt ? Kenngröße ? Landwirtschaft ? Produktion ? ERGEBNIS ? SOLAR ? Finite Elemente ? Vermehrung ? SONSTIG ? JAHRESZEITLICH ? Verwertung ? Vorbehandlung ? LEISTUNGSFAEHIGKEIT ? WERT ? ZUGANG ? METHODE ? MOEGLICHKEIT ? Bahnsteig ? VERARBEITUNG ? OEKONOMISCH ? DAUER ? ANGEPASST ? QUALITAETSZIEL ? RESONANZ ? VERHAELTNIS ? SCHICHT ? ERFORDERNIS ? BEWERTEN ?

Region: Baden-Württemberg

Bounding box: 9° .. 9° x 48.5° .. 48.5°

License: cc-by-nc-nd/4.0

Language: Deutsch

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Time ranges: 2006-01-01 - 2009-12-31

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