Framework for risk informed performance based regulation for nuclear power plants

Currently the electric utility companies are going through a deregulation process that is going to result in market competition for the generating and the transmission companies. The competition is going to be mainly realized by the nuclear power generating companies. The main reason behind this is that existing nuclear power plants have incurred large capital costs that have not been fully recovered. Hence it is predicted that nuclear power plants will not be able to survive the competition. Accordingly there is a need to reduce the cost of operating nuclear power plants without deterioration to plant safety. In addition the regulations delineate the procedures that the plants have to go through for maintenance and surveillance in a prescriptive manner. While the essence of prescriptive regulations is to limit miscommunication and false diagnoses, prescriptive regulations have adversely affected worker cognition and decreased plant workers to routine following robots. These two factors namely the upcoming competition and the adverse effects of prescriptive regulations indicate a need for nuclear power plant operation modification which in turn implies regulations modification. Recently the US Nuclear Regulatory Commission has issued a number of policies and rules that promote the use of risk informed decision making in the regulatory process. These include Safety Goals policy, the PRA policy, the Backfit Rule and the Maintenance Rule where the latter promotes performance rather than prescription based regulations. In addition the NRC has to function under recent congressional budgetary cuts and directives to include Cost/Benefit analysis of regulations, their application and their enforcement. This thesis is concerned with formulating

Department dc:contributor.department

Technology and Policy Program

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

1998

Author dc:creator

• Abdelkader, Sarah Ali

Advisor dc:contributor.advisor

• Michael W. Golay.

• Technology and Policy Program.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/17914

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/17914