Uncertainties in energy and economic performance of HVAC systems and energy recovery ventilators due to uncertainties in building and HVAC parameters
Uncertainties in energy and economic performance of HVAC systems and energy recovery ventilators due to uncertainties in building and HVAC parameters
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DOI：
10.1016/j.applthermaleng.2012.08.021
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发表时间：
2013-01
影响因子：
6.4
通讯作者：
M. Rasouli;G. Ge;C. Simonson;R. Besant
中科院分区：
文献类型：
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作者：
M. Rasouli;G. Ge;C. Simonson;R. Besant
能量回收空调器（ERV）是建筑HVAC系统中用于室外通风空气预处理的排气能量回收装置。ERV的能源和经济性能取决于其效率、成本、维护以及其他参数，如气候、建筑设计和HVAC系统参数。在这项研究中，使用敏感性分析来评估建筑和暖通空调系统参数的不确定性对ERV的节能潜力和经济性的影响。首先，建筑参数对暖通空调系统的峰值负荷，资本成本，年能源使用量和运行成本的影响进行了研究，位于芝加哥的办公楼，使用TRNSTIM模拟。结果表明，通风量对空调系统总能耗的影响最大。其次，对ERV的投资回收期进行了能量和经济分析，每个输入参数的特定变化。结果表明，当ERV的显热效率为75%，潜热效率为60%时，可使供热负荷峰值降低30%，供冷负荷峰值降低18%，年供热能耗降低40%，年供冷能耗降低8%，投资回收期为2年。分析了ERV投资回收期对初始投资、回收效率、能耗率、空调设备初始投资和效率以及通风量的不确定性。所研究的7个建筑物和HVAC系统输入参数的±25%的不确定性分别导致ERV投资回收期的最大17%和225%的不确定性。
Energy recovery ventilators (ERVs) are exhaust air energy recovery devices for outdoor ventilation air preconditioning in building HVAC systems. The energy and economic performance of an ERV depends on its effectiveness, cost, maintenance as well as other parameters such as climate, building design and HVAC system parameters. In this study, a sensitivity analysis is used to evaluate the impact of uncertainty of building and HVAC system parameters on the energy savings potential and economics of ERVs. Firstly, the impact of building parameters on HVAC system peak loads, capital cost, annual energy use and operating cost are investigated for an office building located in Chicago using TRNSYS simulations. The results show that the ventilation rate has the most significant impact on total HVAC system energy performance. Secondly, energy and economic analysis on the ERV’s payback period is conducted with a specified variation of each input parameter. The results illustrate that an ERV with 75% sensible and 60% latent effectiveness can reduce the peak heating load by 30%, the peak cooling load by 18%, the annual heating energy usage by 40% and the annual cooling energy usage by 8%, with a payback period of 2 years. The uncertainty of ERV’s payback period to its initial cost, recovery effectiveness, energy rate, HVAC equipment initial cost and efficiency as well as ventilation rate are also presented. A ±25% uncertainty in the 7 building and HVAC system input parameters studied results in a maximum 17% and 225% uncertainty in the payback period of the ERV respectively.