Objective
TO MAKE AVAILABLE PROCESS ENGINEERING DATA OBTAINED FROM WASHING PROCESSES CARRIED OUT ON AN INDUSTRIAL OPEN-WIDTH WASHING MACHINE. IN ADDITION, BASIC KNOW-HOW ON PROCESS ENGINEERING WILL BE ELABORATED, WHICH IS ESSENTIAL FOR THE CONSTRUCTION OF ADVANCED OPEN-WIDTH TEXTILE FABRIC WASHING MACHINES. THIS COMPRISES E.G. THE RATE OF THE TEMPERATURE DEPENDANCE OF THESE DATA AS WELL AS THE INFLUENCE OF DETERGENTS ON THESE DATA.
FOR DIFFICULT WASHING TASKS UP TO 50% ENERGY SAVING WILL BE POSSIBLE BY ADOPTING THE ENGINEERING TO THE MENTIONED UNIT PROCESSES.
THE TOTAL ENERGY EXPENDED IN THE COMMUNITY ON THE WASHING OF TEXTILE FABRICS IS 12 MILLION GJ PER YEAR.
A MINIMUM ENERGY SAVING OF 30% COULD BE OBTAINED FOR AT LEAST HALF THE PRODUCTION.
THE TOTAL SAVINGS WOULD AMOUNT TO 1,8 MILLION GJ, OR APPROXIMATELY 11,7 MILLION ECU PER YEAR.
ON THE BASIS OF DATA OBTAINED FROM PRACTICE IN THE FIRST ANALYTICAL STAGE A SELECTION HAS TO BE MADE OF THOSE WASHING PROCESSES, WHICH ARE THE MOST DIFFICULT ONES TO CONTROL AND WHICH HAVE THE HIGHEST ENERGY CONSUMPTION. THESE PROCESSES ARE INVESTIGATED IN PRACTICE. IN THE DIFFERENT STAGES OF THESE PROCESSES, THE WASHING EFFICIENCY AND POSSIBLE VARIATIONS IN WASHING EFFICIENCY WILL BE EXAMINED WITH THE AID OF WELL-KNOW TECHNIQUES, INCLUDING THE WATER FLOW, THE AUXILIARY PRODUCTS, THE ENERGY AND ALL POSSIBLE VARIATIONS TO BE ESTABLISHED.
WITH THE HELP OF A PROCESS MODEL SIMULTANEOUSLY A FUNDAMENTAL INVESTIGATION WILL BE CARRIED OUT INTO THE KINETICS OF THE PRODUCTS TO BE WASHED OUT. UNDER RELEVANT PROCESS CONDITIONS QUANTITATIVE PROCESS MODELS WITH THE HELP OF THE OBTAINED DATA WILL BE DEVELOPED.
IN THE SECOND DEVELOPMENT STAGE THE OBTAINED DATA WILL BE USED TO MODIFY THE EXISTING MACHINES AND PROCESSES IN SUCH A WAY THAT A MINIMUM ENERGY CONSUMPTION WILL BE OBTAINED.
IN ADDITION, ADVANCED ELEMENTS OF PROCESS ENGINEERING WILL BE INCORPORATED BY ADAPTATION TO THE UNIT PROCESSES.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
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Programme(s)
Topic(s)
Data not availableCall for proposal
Data not availableFunding Scheme
CSC - Cost-sharing contractsCoordinator
47798 Krefeld
Germany