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Operation Performance And Optimization Research Of Hotel CCHP System

Posted on:2020-06-05Degree:MasterType:Thesis
Country:ChinaCandidate:X X LiuFull Text:PDF
GTID:2392330572970004Subject:Power Engineering and Engineering Thermophysics
Abstract/Summary:PDF Full Text Request
China's national economy is in a stage of rapid development,the country's demand for energy is increasing.At the same time,more stringent requirements for environmental protection have been put forward in the process of energy utilization.The CCHP system supplied by natural gas has many advantages such as high energy utilization rate and low pollutant emission.It had been rapidly developed in China in recently years.In order to improve the comprehensive operational efficiency of the CCHP system,this paper focused on the hotel CCHP system.Firstly,it introduced the operation mode and equipment configuration of the system.The physical model of the hotel CCHP system was built by Trnsys software.The correctness of the physical model was verified by experiments.The operation performance of the CCHP system under different modes were simulated and analyzed.Secondly the system's annual optimization strategy was proposed based on multi-objective evaluation index.Finally the paper analyzed the optimization results.The operation performance of the system in two different modes was as follows:In the“electric demand management”mode,In summer,the system didn't need to purchase electricity from 21:00 to 8:00,but it was necessary to purchase electricity from the grid in other time.From 23:00 to 1:00,the residual heat of flue gas could satisfy the cold load,and it was necessary to by electric in other time and the maximum value was 304.00kW in13:00-14:00.In winter,the supplemental boiler needed to be supplied in 6:00-7:00 and18:00-23:00.The supplemental boiler provided up to 458.43kW in 21:00.In transitional season,It was necessary to purchase electricity from the grid in 9:00-20:00 and the maximum power purchased was 113.04kkW at 13:00.In the“thermal demand management”mode,in summer,there was no need for external replenishment in 2:00-7:00 and 21:00-22:00 during the summer.It was necessary to purchase electricity in other time.In winter,it was necessary to purchase electricity from the grid in8:00-20:00 and 24:00-5:00.The maximum power purchased at 12:00 was 313.48kW.In transitional season,the maximum power generation was only 445.54 kW,and the power purchased by the grid reached the maximum of 580.32 kW from 11:00 to 12:00.Based on the performance analysis of two different operating modes,the system's annual optimization strategy was proposed.In summer,the“electric demand management”mode was used in 7:00-8:00 and 21:00-22:00.And the mode of“thermal demand management”was used in other time.The transition season adopted the mode of“thermal demand management”mode.In winter,the“electric demand management”mode was only used between 6:00-7:00 and21:00-23:00 and the“thermal demand management”mode was used in the other time.Analysis of optimization strategy from single target evaluation index:In terms of energy saving,the optimization mode>“thermal demand management”mode>“electric demand management”mode>the original mode.IPECof the optimization mode was 35.33%,which was better 1.40%than the“thermal demand management”mode,and it could decrease energy consumption of 315317.63kW.h every year.In terms of economy,the optimization mode>“thermal demand management”mode>“electric demand management”mode>the original mode.ITOCof the optimized mode was 30.57%,which was better than the“thermal demand management”mode.It could save 7051.00 thousand yuan per year.In terms of environmental protection,“thermal demand management”mode>optimization mode>“electric demand management”mode>the original mode,ICDEof the optimization mode was 35.74%.Analysis of optimization strategies from multi-objective evaluation indicators:the optimization mode>“thermal demand management”mode>“electric demand management”mode>the original mode,the advantage of the optimization mode was the best,the multi-objective evaluation index of the optimization mode was 33.88%.It was 2.17%higher than the“thermal demand management”mode.It was 4.08%higher than the“electric demand management”mode and it was 15.07%higher than the original mode.
Keywords/Search Tags:Hotel CCHP system, Trnsys, thermal demand management, electric demand management, energy saving, economy, environmental protection, optimize operational strategy
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