Real time awareness for MRV data

01/24/2017 - 15:00-01/24/2017 - 17:00
Sasakawa Auditorium


Nikitas Nikitakos
(University of the Aegean, Dept. of Shipping Trade and Transport, Chios, Greece)
Dimitrios Dalaklis
(World Maritime University, Malmo, Sweden)
Petros Siousiouras
(University of the Aegean, Dept. of Shipping Trade and Transport, Chios, Greece)


Regulatory Framework (Part A)

Edmund Hughes
Nikitas Nikitakos

The European Union (EU) has recently proposed a system for monitoring, reporting and verifying (MRV) of CO2 emissions from large ships using its ports. These ships would thereby be obliged to monitor four parameters on a voyage basis: fuel consumption, distance travelled, time spent at sea and cargo carried. The monitored parameters would need to be verified; different indicators based on these parameters would have to be reported on an annual basis. In the current analysis, a real time system based on complex event processing for early detection of the risks associated with this MRV’s framework is proposed. Stream reasoning is an approach that can be used if information (in the form of assertions) arrives as a stream of (time stamped) inputs. This approach has two distinctive features that could be helpful: the knowledge base can be continuously updated and reasoning goals are continuously re-evaluated as new assertions arrive; this approach considers events from a finite time window and not only at a single instant. A conceptual framework, inspired from airport electronic data real time risk assessment for resilience, to facilitate MRV anomaly detection in order to help ships to early identify and correct arising risks is presented.