scholarly journals Racer: The Contractor’s View

Author(s):  
John T. Halkola

The RACER (RAnkine Cycle Energy Recovery) system has progressed from a technical feasibility investigation, through a competitive preliminary design phase and is now a major research and development program. Transition to a specific ship application is becoming more likely as milestones are accomplished. There are several views of any program: the sponsor’s, the contractor’s, the test facility’s and the ultimate user’s. This paper summarizes the contractor’s view.

2016 ◽  
Author(s):  
Li Zhou ◽  
Gangfeng Tan ◽  
Xuexun Guo ◽  
Ming Chen ◽  
Kangping Ji ◽  
...  

2021 ◽  
Vol 143 (11) ◽  
Author(s):  
Jorge Duarte-Forero ◽  
Luis Obregón-Quiñones ◽  
Guillermo Valencia-Ochoa

Abstract This paper compares the performance of a group of intelligent algorithms such as the genetic algorithm (GA), particle swarm optimization (PSO), and repulsive particle swarm optimization (RPSO) based on the optimization of thermo-economic indicators such as the payback period (PBP), the levelized energy cost (LEC), the specific investment cost (SIC), and also in the optimization of the thermodynamic process (net power output) of an energy recovery system in a 2 MW natural gas internal combustion engine based on an organic Rankine cycle. Four parameters were considered to analyze and compare the performance of these algorithms: integral of squared error (ISE), integral of absolute error (IAE), integral of time-weighted absolute error (ITAE), and the integral of time-weighted squared error (ITSE). Analyses of variances (ANOVA) were proposed for each of the parameters studied. The PSO and RPSO algorithms presented the best performance in terms of the mean and the standard deviation of the ISE, IAE, ITAE, and ITSE parameters. Significant differences were not found between the three algorithms in terms of the parameters considered. However, significant differences did exist when comparing groups (pairs) of algorithms considering a significance level of 5%. The ANOVA analysis showed that ITAE was the most affected parameter by population size, while the IAE and ITSE parameters were the less affected. In the optimization, the PSO algorithm obtained the best performance in terms of convergence with values of 0.1110 USD/kWh (LCOE), 4.6971 years (PBP), 1114 USD/kWh (SIC), and 173.64 kW (Wnet). PSO-based algorithms obtained better performance in computational terms compared with the genetic algorithms.


Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5253
Author(s):  
Andrea De Pascale

This book contains the successful invited submissions [...]


2013 ◽  
Author(s):  
Roberto Capata ◽  
Enrico Sciubba

The paper analyses the feasibility of an “on-board” innovative and patented (patent ID RM2011 A 000671) ORC recovery system. The vehicle thermal source can be either a typical diesel engine (1400 cc) or a small gas turbine set (15–30 kW). The sensible heat recovered from the exhaust gases feeds the energy recovery system that can produce sufficient extra power to sustain the conditioning system and other auxiliaries. The concept is suitable for all types of thermally propelled vehicles, but it is studied here for automotive applications. The characteristics of the organic cycle-based recovery system are discussed, and a preliminary design of the main components, such as condenser, evaporator and pre-heater is presented. The main challenge are the imposed size and weight limitations that require a particular design for this compact heat exchangers. A possible system layout is analysed and the requirements for a prototypal application are investigated. At this stage of the project, no components costs evaluation is provided, in part because our scope is to demonstrate feasibility, and secondly most of the components are built in our own shop.


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