多源不确定性对地表水源热泵系统性能的影响

作者:张颖 袁嘉琦 刚文杰
单位:华中科技大学
摘要:在水源热泵系统模拟中存在大量不容忽视的不确定性,按照来源可分为模型不确定性和参数不确定性。量化分析了模型不确定性及参数不确定性对地表水源热泵系统性能的影响。选取并验证了13个热泵机组经验模型,考虑的不确定性参数包括负荷侧不确定性参数和系统侧不确定性参数,探讨的影响结果有系统能耗、节能性及经济性,并采用全局敏感性分析方法分析了各不确定性影响因素对系统性能的影响程度。结果显示:多源不确定性对水源热泵系统性能评估影响显著,系统全年累计能耗在264~1 107 t之间波动,相比传统空调系统的节能率为-78.5%~32.0%;系统运行20年后的投资净现值为-416万~663万元,节能率和投资净现值为负值的概率分别为23%和8%;对不确定性量化结果影响最为显著的因素为室外气象参数、机组COP、热泵机组模型、人员及新风。
关键词:水源热泵模型不确定性参数不确定性敏感性分析节能率投资净现值
作者简介:张颖,女,1996年生,在读硕士研究生;*刚文杰(通信作者),430074湖北省武汉市洪山区珞喻路1037号E-mail:gangwenjie@hust.edu.cn;
基金:国家自然科学基金项目“基于随机不确定性与非概率不确定性量化分析的中央空调系统性能预测与优化配置方法研究”(编号:51808238);
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参考文献 [1] 江亿.我国建筑耗能状况及有效的节能途径[J].暖通空调,2005,35(5):30- 40.

  [2] PÉREZ-LOMBARD L,ORTIZ J,POUT C.A review on buildings energy consumption information[J].Energy and buildings,2008,40(3):394- 398.

  [3] 那威,夏秋阳.不同多孔介质及地下水源热泵运行方式对采能区热贯通的影响[J].暖通空调,2021,51(7):104- 110.

  [4] 姚燕枫.地热井+水源热泵供暖系统在大型公共建筑中的应用[J].暖通空调,2020,50(10):68- 70.

  [5] YOU T,WANG B,WU W,et al.Performance analysis of hybrid ground-coupled heat pump system with multi-functions[J].Energy conversion and management,2015,92(Supplement C):47- 59.

  [6] 张欢,田慧峰,孙大明.地表水水源热泵系统计算机辅助优化设计研究综述[J].制冷空调与电力机械,2011,32(2):1- 7.

  [7] GANG W,WANG S,SHAN K,et al.Impacts of cooling load calculation uncertainties on the design optimization of building cooling systems[J].Energy and buildings,2015,94:1- 9.

  [8] ZHANG Y,AKKURT N,YUAN J,et al.Study on model uncertainty of water source heat pump and impact on decision making[J].Energy and buildings,2020,216:109950.

  [9] SUN Y.Closing the building energy performance gap by improving our predictions[D].Atlanta:Georgia Institute of Technology,2014:39- 43.

  [10] DING Y,SHEN Y,WANG J,et al.Uncertainty sources and calculation approaches for building energy simulation models[J].Energy procedia,2015,78:2566- 2571.

  [11] 张雪丹.竖直地埋管换热器不确定性设计传热模型研究[D].哈尔滨:哈尔滨工业大学,2016:4- 22.

  [12] SILVA A S,GHISI E.Uncertainty analysis of the computer model in building performance simulation[J].Energy and buildings,2014,76:258- 269.

  [13] BROHUS H,FRIER C,HEISELBERG P,et al.Quantification of uncertainty in predicting building energy consumption:a stochastic approach[J].Energy and buildings,2012,55:127- 140.

  [14] KIM Y J.Comparative study of surrogate models for uncertainty quantification of building energy model:gaussian process emulator vs.polynomial chaos expansion[J].Energy and buildings,2016,133:46- 58.

  [15] MAASOUMY M,RAZMARA M,SHAHBAKHTI M,et al.Handling model uncertainty in model predictive control for energy efficient buildings[J].Energy and buildings,2014,77:377- 392.

  [16] PRADA A,CAPPELLETTI F,BAGGIO P,et al.On the effect of material uncertainties in envelope heat transfer simulations[J].Energy and buildings,2014,71:53- 60.

  [17] 张崎,燕达,朱丹丹,等.办公建筑室内发热量的空间不均匀特性对空调设计选型的影响分析[J].暖通空调,2014,44(10):26- 32.

  [18] LI H,LI X,QI M.Field testing of natural ventilation in college student dormitories[J].Building and environment,2014,78:36- 43.

  [19] ZOU S,XIE X.Simplified model for coefficient of performance calculation of surface water source heat pump[J].Applied thermal engineering,2017,112(Supplement C):201- 207.

  [20] JIN H.Parameter estimation based models of water source heat pumps[D].Stillwater:Oklahoma State University,2002:125- 133.

  [21] UNDERWOOD C P.Heat pump modelling[M]//REES S J.Advances in ground-source heat pump systems.Sawston:Woodhead Publishing,2016:387- 421.

  [22] 江亿.空调负荷计算用随机气象模型[J].制冷学报,1981(3):45- 56.
Effect of multi-source uncertainty on performance of surface water-source heat pump systems
Zhang Ying Yuan Jiaqi Gang Wenjie
(Huazhong University of Science and Technology)
Abstract: There are a lot of uncertainties that cannot be ignored in the simulation of water-source heat pump systems, and they can be divided into the model uncertainty and the parameter uncertainty according to the source. This paper quantitatively analyses the effects of model uncertainty and parameter uncertainty on the performance of surface water-source heat pump systems. Thirteen empirical models of heat pump units are selected and verified. The uncertain parameters considered include the uncertain parameters on the load side and on the system side, and the results discussed include system energy consumption, energy saving and economy. The global sensitivity analysis method is used to analyse the influence of various uncertain factors on the system performance. The results show that the multi-source uncertainty has a significant impact on the performance evaluation of the water-source heat pump system, the cumulative energy consumption of the system is 264 t to 1 107 t throughout the year, and the energy saving rate is-78.5% to 32.0% compared with the traditional air conditioning system.The net present value of the system investment is-4.16 to 6.63 million yuan after 20 years of operation, and the probability that the energy saving rate and the net present value of investment are negative is 23% and 8%, respectively. The most significant factors affecting the uncertainty quantization results are outdoor meteorological parameters, COP of heat pump unit, heat pump model, personnel and outdoor air volume.
Keywords: water-source heat pump; model uncertainty; parameter uncertainty; sensitivity analysis; energy saving rate; net present value of investment;
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