Deliverables

D1.1 - Assessment Report of Networks and Energy Consumers on Passenger Ships or Cruise Ships

This deliverable aims to evaluate the current state of energy consumption in passenger ships (Work Package 1). As the ship’s equipment consists of independent energy “consumers” and each can be turned/configured to operate at its optimum performance )based on the manufacturer’s guidelines), recordings of current energy use benchmark in passenger ships, as well as identifying consumersa are required, whose energy consumption can be optimized.

This is necessary in order for the findings to be algorithmically considerd in the next phase of the ECLiPSe project (Work Package 2), with the aim of analyzing and that demonstrating the optimal cost-benefit ratio, either in terms of equipment upgrading or improving efficiency, with the ultimate aim of reducing energy consumption and thus reducing environmental footprint of passenger ship.

D2.1 - Assessment Report of Documentation report of analysis and data synthesis algorithms and detailed presentation of algorithms

The aim of the Work Package 2 is to document the analysis and data synthesis algorithms and to present them in detail.

The goal of this deliverable “Documentation report of the analysis and data synthesis algorithms and detailed presentation of algorithms” is the detailed presentation of the energy consumption analysis algorithm that will be used in the ECLiPSe project. Taking into account and researching other algorithms proposed and used in projects related to the recording of energy consumption either in smart buildings or in other places, in this work package we are called to develop an algorithm that will be used in the project to record and present the energy consumed by a ship but also to be able to suggest energy saving solutions.

D3.1 - Subsystem of holistic display of energy consumption in combination with the concentrations of passengers on passenger ships / cruise ships.

The aim of Work Package 3 is the implementation of a subsystem for holistic display of energy consumption in combination with the concentrations of passengers on passenger ships/ cruise ships.

The ECLiPSe project used simulation techniques and machine learning algorithms to model the consumption behavior of the passengers of a large passenger ship or cruise ship, in relation to the energy levels required in their basic daily activities. Specifically, this project analyzed the movement of passengers and their behavior in the areas of ships that are often visited by a large number of people, such as restaurants, playgrounds, nightclubs and casinos.

D4.1 - Energy saving "recipes" subsystem

Deliverable includes smart energy saving “recipes”, based on processing and analysis of data and correlations on which settings / operating rules offer the greatest energy savings.

D4.2 - Advanced energy consumption management services subsystem

Work Package 4 also includes the development of advanced services to improve the management of energy consumption using machine learning algorithms and then exports energy saving rules that are in line with user habits.

D4.3 - Web-based interaction support & user collaboration platform

The Work Package includes the development of a web-based platform, which appropriately orchestrates a range of innovative services that facilitate and enhance synchronous and asynchronous interaction and collaboration between all users.

D 4.4 - Decision Making subsystem

The Work Package includes the development decission making subsystem for the decission support regarding power saving.

D5.1 - Reporting results of the pilot application and usage scenarios

All services and algorithms developed will be checked for proper operation and system performance will be tested in real conditions.

D5.2 - Subsystem documentation and user manuals

Site Manual

The Site Manual is completed.

DELIVERABLES

Deliverables