scholarly journals Marine Waste Heat Recovery System Using Stirling Engine Generators

2010 ◽  
Vol 45 (3) ◽  
pp. 321-326 ◽  
Author(s):  
Koichi Hirata
2012 ◽  
Vol 562-564 ◽  
pp. 1994-1997
Author(s):  
Li Ren ◽  
Hua Yan Li ◽  
Wen Xiao Zhang

Energy saving is the best way to energy exploitation and environment protection, especially in the case of the low carbon economy. In this paper, a hybrid approach combining particle swarm optimization (PSO) and genetic algorithms (GA) is developed for optimization design of marine waste heat recovery system. Based on exergy analysis method, the waste heat utilization degree of the marine waste heat recovery system is discussed. Considering the superheated steam temperature, evaporation temperature, economizer inlet temperature, water supply temperature and condensation temperature, a mathematical model is constructed in which the exergy efficiency of marine waste heat recovery system is taken as the objective function for optimization design of marine waste heat recovery system. The mutation operator of GA is introduced to the PSO to solve the mathematical model of marine waste heat recovery system for the diversity of particles. The effectiveness of the approach is illustrated by an optimization example.


2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Gunabal S

Waste heat recovery systems are used to recover the waste heat in all possible ways. It saves the energy and reduces the man power and materials. Heat pipes have the ability to improve the effectiveness of waste heat recovery system. The present investigation focuses to recover the heat from Heating, Ventilation, and Air Condition system (HVAC) with two different working fluids refrigerant(R410a) and nano refrigerant (R410a+Al2O3). Design of experiment was employed, to fix the number of trials. Fresh air temperature, flow rate of air, filling ratio and volume of nano particles are considered as factors. The effectiveness is considered as response. The results were analyzed using Response Surface Methodology


2021 ◽  
Vol 234 ◽  
pp. 113947
Author(s):  
Alexandre Persuhn Morawski ◽  
Leonardo Rodrigues de Araújo ◽  
Manuel Salazar Schiaffino ◽  
Renan Cristofori de Oliveira ◽  
André Chun ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document