DC-9: Jairo Andrés Meneses Gelves

Contact

 E-mail: jairo.andres.meneses@upc.edu

Project

 Developing an improved methodology to perform QRA with specific emphasis on renewable and low-carbon fuels facilities

Host organization

 UPC

Supervisor

 Prof. Elsa Pastor (UPC)

Duration

 36 months

Objectives

The main objective is to design a novel methodology to perform QRA that considers the specificities of the new renewable energy vectors' production, storage, and distribution. First, a historical survey of major accidents (type of accident, initial loss of containment, accidental sequences) is performed; a statistical analysis will follow, to obtain representative values of frequencies and/or probabilities. Simultaneously, a search will be done of the values usually applied in QRA in the diverse EU State Members, related to the application of Seveso III Directive. On the other hand, the mathematical models used for calculating the effects of major accidents will be analyzed and the optimum ones will be selected. Their predictions will be checked by comparison with selected and liable data from real accidents. Finally, the selected data and models will be applied to the QRA of a given case: a sea port facility including loading, storage, regasification, and distribution of low-carbon fuels (LNG, ammonia, hydrogen and methanol).

Expected results

  1. Proposal of a set of values for the frequencies and probabilities usually required in quantitative risk analysis,
  2. Selection of the most adequate mathematical models for different substances,
  3. List of potential most credible hazard scenarios,
  4. Application to the particular case at the Port of Barcelona.

Planned secondments

  1. Receiving: PdB; M18; Duration: 3M: Training and industrial case studies for the application of new QRA
  2. Receiving: NTNU; M26; Duration: 2M: Train and learn about the potential of big data analytics to improve QRA