Simulation and Optimization of the Waste Heat Refrigeration System on Ocean Fishing Vessel
|Course||Agricultural Mechanization Engineering|
|Keywords||Aqua ammonia absorption refrigeration deep sea fishing boats genetic algorithm(ga) optimization the Exergy analysis|
Most of the ocean fishing vessels to choose diesel engine as the main propulsion unit,However in diesel combustion heat production process, Heat into mechanical energy is less thanhalf the energy. Others as the waste gas, waste water into the air. Obviously it’s a great value ofthe research on the ocean fishing vessels power plant waste heat utilization. In this paper,through mathematical modeling of the traditional ammonia absorption refrigeration system bychanging the initial parameters, discuss its impact on the efficiency of refrigeration system,without any increase in cost under the premise of system optimize the system parameters, to seekthe optimal parameters makes the system maximum refrigeration coefficient and improve theutilization efficiency of fishing vessel diesel engine waste heat.Firstly, put forward by schultz of gibbs function based on the contrast state propertycalculation formula of ammonia solution as the foundation, using the schultz state equation ofgas phase and liquid ammonia solution, analyzing Ammonia-hydraulic properties ofthermodynamic properties and the waste heat ammonia absorption refrigeration systemequipment of the ocean fishing vessels. According to the software of Matlab, programmed andcalculated the parameter of the system, system equipment heat load and material balance results。Secondly, analyzes the influence of heat source temperature, condensation temperature,evaporation temperature to coefficient of circulation ratio of ammonia absorption refrigerationsystem, generator concentrated solution enthalpy, generator heat load, performance of the system.And based on this, take the system COP refrigeration efficiency as objective function, the COPof the system is optimized by genetic algorithm to calculate and analyze two kinds of parametersoptimization variables are discussed. The results indicate that the optimized COP than theoriginal increased by38.7%and30%respectively, and calculate the amount of fresh goods afteroptimization system.Finally, because the first law of thermodynamics is quantitatively illustrate the conservationrelationship of energy conversion, which parts loss energy failed to reflect, however Exergyexpressed the energy quality, balanced energy and the environment are theoretically any systemcan be converted into useful work that part of the energy, the biggest can be hard. So this articlefurther analyzes the system and the various components of Exergy loss, and ECOP Exergyefficiency as objective function, the cooling water temperature rise Δtw, condenser hot endtemperature difference Δt2, heat generator terminal temperature difference Δt12, evaporator heattransfer temperature difference Δ t5, absorber, the cold end temperature difference Δt7has,solution heat exchanger, the cold end temperature difference Δt10, six temperature as theparameter variables, by means of genetic algorithm optimization analysis, makes ECOPincreased by7.2%.