PIXEL

PAS

PIXEL > PAS

Port Activity Scenario

A digitalisation of port processes providing data to computational models (air pollution, energy balance, etc) calculating them from the operating schedule of the port

Teaser

Unique Value Proposition:

The Port Activity Scenario (PAS) is an ICT toolset based on computational models port activities based on vessels calls and use of handling equipment specifications in order to establish an operational description of the port activities related to cargo handling. This digitalisation of the port activities and know-how over time enables simulation through what-if scenarios, allowing for specialized computational models for energy consumption and production, environmental pollution, or COVID-19 restrictions. It also allows for the integration of new computational models to address other priorities.
Technology
Technology:

PAS provides data to the models (air pollution, energy, etc) calculating them from the operating schedule of the port. It predicts what kind of machinery will be used and for how long, allowing for simulation through what-if scenarios. Uses the vessel calls, the machinery available and the chain of operations for each cargo (supply chain), prioritises them and distributes the machinery operations across time.

Link to the Horizon Results page: https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/horizon-results-platform/30186;keyword=pixel

Schema of the product:

Benefits

Benefits

Impacts

Impact

1. Adaptable in terms of data availability: can work with a minimum set of data providing results of corresponding level of confidence, allowing the manual reconfiguration of the schedule by the user.

2. Once setup, allows each port to have a centralized repository of their resources, utilizing them to module energy demand, environmental pollution and (even) COVID-19 restrictions.

3. Allows for what-if scenarios that can serve as a light digital twin of the port.

1. Adaptable in terms of data availability: can work with a minimum set of data providing results of corresponding level of confidence.

2. Allows the manual reconfiguration of the schedule by the user.

3. Once setup, allow each port to have a centralized inventory of their resources.

Keywords: data model, values per machine, port operations, suply chain, simulation, energy efficiency, noise desipersion, air pollution, environmental modelling, COVID-19.