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A comprehensive performance analysis of meta-heuristic optimization techniques for effective organic rankine cycle design
(Elsevier, 2022)
Optimizing the operating parameters is of great importance to improve Organic Rankine Cycle (ORC) system efficiency. Nowadays, meta-heuristic algorithms are widely used to obtain fast and effective solutions. However, it ...
Novel decision-making strategy for working fluid selection in Organic Rankine Cycle: A case study for waste heat recovery of a marine diesel engine
(Elsevier, 2022)
The Organic Rankine Cycle (ORC) is receiving increasing attention as a waste heat recovery system. However, it is still a major challenge to quickly and practically choose the appropriate one among dozens of working fluids, ...
Optimising ship manoeuvring time during port approach using a decision support system: a case study in Turkey
(Taylor and Francis Ltd., 2022)
Any cost reductive initiative is significant to contribute to the overall viability and economic sustainability of the industry. Therefore, it is worthy to study time and cost efficiency of ship manoeuvring when approaching ...
A comprehensive investigation into the performance of genetic algorithm for effective shipyard topological layout
(SAGE Publications, 2022)
Shipyards have large departments or facilities. It is essential to make an effective topological layout plan since the initial investment cost of these departments is high. Topological layout is an optimization problem and ...
Investigation of the Effect of the Regenerative Organic Rankine Cycle System on Decarbonization for a Bulk Carrier
(Ordu Üniversitesi, 2022)
Shipping has a very important share in world trade. However, it has an inevitable effect on global greenhouse gas emissions. Therefore, there is a great motivation for the reduction of fuel consumption and exhaust emissions. ...