US-Sweden Cooperative Research:  System Identification and  Control of the Clarification Process
{'Code': '01090000', 'Directorate': {'Abbreviation': 'O/D', 'LongName': 'Office Of The Director'}, 'Division': {'Abbreviation': 'OISE', 'LongName': 'Office Of Internatl Science &Engineering'}}
{'SignBlockName': 'Pierre Perrolle', 'PO_EMAI': None, 'PO_PHON': None}
This award will support collaborative research between Dr. Paul J.              Ossenbruggen, University of New Hampshire and Professor Gustaf                  Olsson, Lund Institute of Technology, Sweden.  The proposed project             focuses on the clarification phase of the activated sludge                      treatment (AST) process, a highly complex, biological method of                 treating wastewater.  In spite of its popularity around the world,              our understanding of the process is limited, and at present there               are not adequate methods to control the process.  Frequent                      violations of effluent standards are common even at well-operated               plants.                                                                                                                                                         The interaction of a number of physical, hydraulic and biological               factors in the AST process make system identification and                       development of effective dynamic control algorithms difficult.  In              this project, a factorial experiment to identify parameters that                significantly affect the clarification process is proposed.  The                factors of concern are:  mixed liquor suspended solids, return                  sludge flow rate, dissolved oxygen, and sludge blanket depth.                   Measurements of response, controlled and uncontrolled parameters                will be measured at a frequency of one observation per minute.                  Time series of these critical factors will be analyzed using                    Box-Jenkins techniques to formulate mathematical models and to                  develop a control algorithm.  All experiments and controller                    validation studies will be performed on full-scale treatment                    plants.  This research effort will be conducted at the Lund                     Institute of Technology in cooperation with Professor Olsson, a                 recognized expert on system modelling and control.  The study                   builds on previous research conducted in Houston and Canada using               full-scale treatment plants.  By providing data from experiments                specifically designed for the special needs of time-series                      techniques and cause-effect studies, the research should lead to a              better understanding of the AST process and its control.
{'FirstName': 'Paul', 'LastName': 'Ossenbruggen', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Paul J Ossenbruggen', 'EmailAddress': 'pjo@cisunix.unh.edu', 'NSF_ID': '000166599', 'StartDate': '06/01/1989', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'University of New Hampshire', 'CityName': 'DURHAM', 'ZipCode': '038242620', 'PhoneNumber': '6038622172', 'StreetAddress': '51 COLLEGE RD', 'StreetAddress2': 'BLDG 107', 'CountryName': 'United States', 'StateName': 'New Hampshire', 'StateCode': 'NH', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'NH01', 'ORG_UEI_NUM': 'GBNGC495XA67', 'ORG_LGL_BUS_NAME': 'UNIVERSITY SYSTEM OF NEW HAMPSHIRE', 'ORG_PRNT_UEI_NUM': None}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
{'Code': '5937', 'Text': 'SWEDEN'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1988&All=true', 'xml': '8822634.xml'}