Real Time Awareness for MRV Data

Abstract

The European Union (EU) has recently proposed a system for monitoring, reporting and verifying (MRV) of CO₂ emissions in relation to large ships that are 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 framework is put forward. Stream reasoning is an approach that can be used if information (in the form of assertions) arrives as a stream of (time stamped) inputs. The specific architecture considers events from a finite time window and not only at a single instant. This approach has two distinctive features that could improve the overall performance of the system, as well as the quality of data handling: the associated knowledge base can be continuously updated and the reasoning goals are continuously re-evaluated as new assertions arrive. A conceptual framework to facilitate MRV anomaly detection in order to help ships to early identify and correct arising risks is presented. In order to ensure resilience, techniques associated with airport electronic data real time risk assessment provide the underlying foundation.