Prediction of the annual performance of marine organic Rankine cycle power systems
Paper in proceeding, 2018

The increasing awareness about the environmental impact of shipping and the increasingly stricter regulations introduced by the International Maritime Organization are driving the development of solutions to reduce the pollutant emissions from ships. While some previous studies focused on the implementation of a specific technology, others considered a wider perspective and investigated the feasibility of the integration of various technologies on board vessels. Among the screened technologies, organic Rankine cycle (ORC) power systems represent a viable solution to utilize the waste heat contained in the main engine exhaust gases to produce additional power for on board use. The installation of ORC power systems on board ships could result in a reduction of the CO 2 emissions by 5 – 10 %. Although a number of methods to derive the optimal design of ORC units in marine applications have been proposed, these methods are complex, computationally expensive and require specialist knowledge to be included as part of a general optimization procedure to define the optimal set of technologies to be implemented on board a vessel. This study presents a novel method to predict the performance of ORC units installed on board vessels, based upon the characteristics of the main engine exhaust gases and the ship sailing profile. The method is not computationally intensive, and is therefore suitable to be used in the context of large optimization problems, such as holistic optimization and evaluation of a ship performance given the operational profile, weather and route. The model predicted the annual energy production of two case studies with an accuracy within 4 %.


Regression model

Predictive model

Organic Rankine cycle power systems


Enrico Baldasso

Technical University of Denmark (DTU)

M. E. Mondejar

Technical University of Denmark (DTU)

Ulrik Larsen

Chalmers, Mechanics and Maritime Sciences (M2), Maritime Studies

F. Haglind

Technical University of Denmark (DTU)

ECOS 2018 - Proceedings of the 31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems

978-972995964-6 (ISBN)

31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2018
Guimaraes, Portugal,

Subject Categories

Other Mechanical Engineering

Energy Engineering

Marine Engineering

More information

Latest update