| With the rapid development of technology and the arrival of information age, data center gradually develops into large information industrial park from single building. Electric power security is particularly important for the normal operation of the information industrial park, once the power failure, it will probably bring incalculable economic loss and social influence. But as remote transmission by large power grid is the main power supply form in our country, power supply security for the data center that demand intensive power supply is a cause of concern. In addition, 7×24 hours’ non-stop running of electronic calculating equipments in the information industry park will generate large steady heat, which must be timely dissipated. The main challenges the information industrial park faced are power supply security, large power consumption, refrigerating capacity and huge carbon emissions. Traditional power mode is no longer fit for the demand of large green data centers, while the combined cooling heating and power(CCHP) system is an effective way to solve the problem. Therefore, it has great research significance for reasonable design and multi-objective optimization of the CCHP system aimed at the information industrial park.This paper has simulated the dynamic cooling and heating load all the year around of an information industry park in Northern China with the software De ST, which works out that the power and cooling load of data center is 115 MW and 116.3 MW separately, the cooling and heating load of office building is 5.1 MW and 2.8 MW, the heating load of residents is 1.9 MW. In the meanwhile, for the sake of improving the evaluation mechanism, this paper has set up a CCHP optimization model based on current theory, and takes primary energy consumption, annual total cost and carbon dioxide emission as evaluation index and selects the system performance factor index(PFI) as the comprehensive assessment index. According to the energy consumption of the information industrial park, this paper proposes 5 different CCHP schemes to meet the load demand. Through a comparative analysis of different evaluation indexes, the scheme 3 stands out to be the best choice, which has good flexibility with electricity price and gas price.Furthermore, this paper finds that primary energy consumption, which is the key point to realize the multi-objective optimization, makes the largest contribution to the multi-objective evaluation index values of PFI(Performance factor index). The research starts from improving energy efficiency and reducing primary energy consumption, using low temperature circulated wind and recycling waste heat in exhaust to optimize operation strategy. After optimization, primary energy ratio of the CCHP system is 74.0%, which is 19.1% higher than that of conventional system. The CCHP system also brings significant environmental and economic benefits. Its annual energy conservation capacity is114,600 tons of coal equivalent, annual carbon dioxide emissions reduction is 519,100 tons and annual cost saving is 354 million yuan.The research content and optimization method in this paper have provided certain scientific basis and theoretical reference for the popularization of CCHP system in information industrial park. |
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