Optimal Research Of CCHP System In Cloud Computing Industrial Park

Since the21st century, China’s economic developed rapidly as the industrializationand urbanization. Meanwhile, the conflict between energy and environment havebecome increasingly prominent. Industrial park is an important part of the China’sindustrialization and urbanization process whose energy structure directly related toChina’s energy development direction. Currently, local governments and their economicand technological development zones are building industrial park in efforts. But most ofthe industrial park have“using high grade energy lowly” and “high thermal energyemissions” and other issues. Improving energy comprehensive utilization ratio isimminent.This paper mainly focuses on the optimization of design and operation of CCHPsystem in the industrial park containing data center. Firstly, the case park isintroduced.Through conducting a research on the heating and cooling demands andanalyzing the comprehensive energy-using way of the park, the technology roadmapthat the renewable energy in collaboration with conventional energy is put forward andthe route is explained in detail.Secondly, hourly cooling load throughout the year of the cloud computing centerbuilding is simulated using DeST software, and the additional load caused by thecooling loss of distribution system is calculated in detail.According to the result, designcooling load of the cloud computing center data room of first phase is57023kW.Then, the mathematical model of heat and cold sources modules,distributionmodules and gas-steam combined cycle power generation module is built in the CCHPsystem. And using the mathematical model of the system,the industrial park energyplanning and assessment software is written using C#language that enables absorptionchiller energy consumption simulation, transmission and distribution systemconsumption simulation, cold loss of pipeline simulation, the auxiliary heat and coldsources energy consumption simulation, conventional system energy consumptionsimulation and output and queries of simulation results.Then, design and operation of the cloud computing center cooling plant areoptimized using the mathematical models and software. Using “steam consumption”and “integrated thermal coefficient” of the absorption water chiller, steam consumptionof different configurations is simulated. The best configuration is nine double-effectlithium bromide absorption chillers with capacity of6500kW. Chilled water outlet temperature rising from5℃to12℃, energy consumption reducing rate is39151t/℃,energy efficiency promoting significantly.While the chilled water outlet temperaturerising from12℃to15℃, energy consumption reducing rate is only5536t/℃. At last,the chilled water outlet temperature is determined at12℃. Design temperaturedifference between supply and return of chilled water increased from5℃to10℃,primary and secondary pump constant flow/variable flow annual energy consumptionreduction rate is916000kW·h/℃,761000kW·h/℃,1167000kW·h/℃and753000kW·h/℃. When the design temperature difference between supply and return of chilledwater has been determined, the annual energy consumption of primary and secondarypump variable flow can be reduced more than20%and30%respectively compared toconstant flow.Cooling loss caused by distribution system in different design temperaturedifference between supply and return of chilled water and different distribution modes iscalculated. Changing rule of cooling loss caused by distribution system according tochilled water outlet temperature, design temperature difference between supply andreturn of chilled water and distribution modes is concluded. And the cooling loss ratecalculation model is got. The principles of “free cooling” mode is explained and theannual hourly energy consumption adopting “free cooling” mode is simulated.Compared to without “free cooling” mode, the annual reduction of steam and electricityconsumption are64400ton and810757kW·h and annual energy-saving rate is7.43%.Finally,the level of step utilization of the energy of the CCHP system iscomprehensively evaluated from annual energy consumption of the cloud computingcenter cooling plant、energy saving efficiency of the power plant and energy savingefficiency of CCHP system compared to individual system.Primary energy utilization rate of the example project system changes between67.31%~71.38%and year-round average is69.10%; of the example project systemchanges between16.73%~18.86%and year-round average is17.47%; heat-to-electricratio changes between33.08%~36.04%and year-round average is33.84%. The CCHPsystem can save primary energy571,036.66tons equivalent to the amount of standardcoal compared to individual system and energy-saving rate can reach37.76%.