Picture of model of urban architecture

Open Access research that is exploring the innovative potential of sustainable design solutions in architecture and urban planning...

Strathprints makes available scholarly Open Access content by researchers in the Department of Architecture based within the Faculty of Engineering.

Research activity at Architecture explores a wide variety of significant research areas within architecture and the built environment. Among these is the better exploitation of innovative construction technologies and ICT to optimise 'total building performance', as well as reduce waste and environmental impact. Sustainable architectural and urban design is an important component of this. To this end, the Cluster for Research in Design and Sustainability (CRiDS) focuses its research energies towards developing resilient responses to the social, environmental and economic challenges associated with urbanism and cities, in both the developed and developing world.

Explore all the Open Access research of the Department of Architecture. Or explore all of Strathclyde's Open Access research...

Voyage optimisation : prediction of ship specific fuel consumption for energy efficient shipping

Lu, Ruihua and Turan, Osman and Boulougouris, Evangelos (2013) Voyage optimisation : prediction of ship specific fuel consumption for energy efficient shipping. In: 3rd International Conference onTechnologies, Operations, Logistics and Modelling for Low Carbon Shipping, 2013-09-09 - 2013-09-10.

Full text not available in this repository. Request a copy from the Strathclyde author


Voyage optimization is a technology to predict the ship performance in various sea states and current conditions, and based on the performance of the ship to assist ship masters in route selection. The targets of increasing energy efficiency and reducing Green House Gas (GHG) emission in the shipping industry can be achieved by voyage optimization. However, the practical and accurate prediction of ship operational performance is the prerequisite to achieve targets. In this paper, empirical fuel consumption prediction approach based on Kwon’s added resistance modeling (Kwon, Y.J. 2008) with a specific application to Suez-Max oil tanker is proposed. By using this approach, an operational performance model can be created for each loading condition, speed and relative wave heading on each Suez-Max oil tanker. The accuracy of operational performance prediction for sea-going vessels can be further enhanced by utilizing noon report data of a specific vessel. The operational performance model enables the user to investigate the relation between fuel consumption and the various sea states that the ship may encounter in its voyage. The potential results of operational performance model are collected in the ship operational performance database. Based on the database and real time climatological information, the ships’ various courses can be evaluated according to a number of objectives including minimization of voyage time, maximization of safety, and minimization of fuel consumption using single or multi-objective methodologies. By utilizing a decision support tool, the ship’s crew may now select the optimum course according to their preference. Energy Efficiency of Operation (EEO) is defined as an indicator to illustrate the main engine fuel consumption efficiency in the study. The results of the two case studies indicate that the modified empirical approach for the Suez-Max oil tanker can predict the fuel consumption reasonably well considering the uncertainty factors in the ship actual onboard data recording process. In future work, the modified empirical approach will be applied to other vessel sizes, and extended to various other commercial ship categories.