Integration of Multicycle, Load Dispatching, and Reliabilityin Reload Fuel Optimum Design
{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}
{'SignBlockName': 'mary chen', 'PO_EMAI': None, 'PO_PHON': None}
Research is conducted in nuclear fuel menagement and electrical                 generation dispatch through the use of supercomputers.  The research            utilizes the capability of a supercomputer to provide for large-scale           optimization of multi-cycle, nuclear-reactor core-reload design.  The           research also involves electrical power system intergration and                 generating unit reliability.  An important objective is to incorporate          realistic core physics modeling into the optimization search                    procedures.  A sophisticated nodal code is to be converted to vector            form for this work.  The objectives are pursued with the initial focus          upon using accelerated direct-search techniques for core-reload                 optimization.  Also, fixed absorber loading is to be an additional              degree of freedom in the modeling.  Simplified utility system                   intergration and reliability models are incorporated into the                   optimization procedure.  A sensitivity study is also carried out to             learn the level of modeling detail that is significant for these                parameters.
{'FirstName': 'Alexander', 'LastName': 'Sesonske', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Alexander Sesonske', 'EmailAddress': None, 'NSF_ID': '000118906', 'StartDate': '11/15/1985', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Purdue University', 'CityName': 'WEST LAFAYETTE', 'ZipCode': '479061332', 'PhoneNumber': '7654941055', 'StreetAddress': '2550 NORTHWESTERN AVE # 1100', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Indiana', 'StateCode': 'IN', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'IN04', 'ORG_UEI_NUM': 'YRXVL4JYCEF5', 'ORG_LGL_BUS_NAME': 'PURDUE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}
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{'Code': '1407', 'Text': 'CFS-Combustion & Fire Systems'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1984&All=true', 'xml': '8414612.xml'}