A study on optimisation of vehicle allocation for evacuation during a site emergency at a nuclear power plant

Anirudh Chandra, Murali Seshadri and Probal Chaudhury

International Journal of Operational Research, 2023, vol. 48, issue 2, 246-258

Abstract: Indian nuclear power plants have graded engineered safety features because of which accidents with large scale consequences are highly improbable. However, regulatory requirements state the necessity of a site evacuation following a site emergency or an off-site emergency. Planning for this emergency requires allocation of evacuating vehicles. This study provides a simplified model of evacuation, with focus on minimising the travel time. The vehicle allocation was considered to be an optimisation problem. Mixed integer linear programming (MILP) was used to solve this constrained optimisation problem for a particular nuclear facility site. Different evacuation modes were formulated and the evacuation travel times for each mode were estimated. The most reasonable mode of evacuation was found to be a simultaneous supply of vehicles from vehicle depot to facilities, followed by a sequential evacuation of each facility to the exit. This solution reduces unnecessary congestion at exits and also reduces the travel time.

Keywords: site emergency; evacuation; mixed integer linear programming; MILP; optimisation; emergency response management; nuclear emergency. (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=134398 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijores:v:48:y:2023:i:2:p:246-258

Access Statistics for this article

More articles in International Journal of Operational Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().