title: Risk-based design of process plants with regard to domino effects and land use planning.
abstract: Land use planning (LUP) as an effective and crucial safety measure has widely been employed by safety experts and decision makers to mitigate off-site risks posed by major accidents. Accordingly, the concept of LUP in chemical plants has traditionally been considered from two perspectives: (i) land developments around existing chemical plants considering potential off-site risks posed by major accidents and (ii) development of existing chemical plants considering nearby land developments and the level of additional off-site risks the land developments would be exposed to. However, the attempts made to design chemical plants with regard to LUP requirements have been few, most of which have neglected the role of domino effects in risk analysis of major accidents. To overcome the limitations of previous work, first, we developed a Bayesian network methodology to calculate both on-site and off-site risks of major accidents while taking domino effects into account. Second, we combined the results of risk analysis with Analytic Hierarchical Process to design an optimal layout for which the levels of on-site and off-site risks would be minimum.
authors.affiliation: Safety and Security Science Group (S3G), Faculty of Technology, Policy and Management, TU Delft, Delft, The Netherlands. Electronic address: nkhakzad@gmail.com.
authors.forename: Nima
authors.initials: N
authors.lastname: Khakzad
authors.affiliation: Safety and Security Science Group (S3G), Faculty of Technology, Policy and Management, TU Delft, Delft, The Netherlands; Antwerp Research Group on Safety and Security (ARGoSS), Faculty of Applied Economics, Universiteit Antwerpen, Antwerp, Belgium; Research Group CEDON, Campus Brussels, KULeuven, Brussels, Belgium.
authors.forename: Genserik
authors.initials: G
authors.lastname: Reniers
keywords: Bayesian network; Domino effect; Fuel storage plant; Land use planning; Multi-criteria decision analysis