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Methodology Development for Determining Long-Term Performance of Cool Storage Systems from Short-Term Tests 通过短期试验确定蓄冷系统长期性能的方法开发
本文及其同伴(Elleson等人,2002年)报告了ASHRAE研究项目RP-1004的结果:通过短期试验确定蓄冷系统的长期性能。本研究的总体目标是开发基于短期现场测量确定现有蓄冷系统长期性能的通用方法。具体而言,这涉及:开发一种分析方法,用于确定与没有此类蓄冷系统的相同蓄冷系统相比,由于蓄冷系统,冷却设备的能源和需求节约。分析将尽可能基于监测数据,而不是传统方法,后者依赖于夏季和冬季“典型”天数的简化计算,然后将其外推至全年;制定短期测量和验证(M&V)计划的建议。这包括一些问题,比如要进行什么具体的测量,一年中进行测量的时间(即。 e、 以及短期监测期的持续时间。利用三个案例研究现场的监测数据开发并测试了这种方法,从而在原位蓄冷系统性能分析方面取得了重大进展。这种方法将简化对现有蓄冷系统的评估,从而提高蓄冷技术的应用。它还将为开发其他技术的评估方法提供基础;例如,在使用昂贵电能加热的地区使用的蓄热系统。虽然本文描述了用于绩效评估的现场数据的验证(Elleson等人,2002),但本文描述了分析方法的细节,并给出了将该方法应用于三个案例研究地点的结果。还包括对未来工作的建议。 单位:I-PCITION:研讨会论文,大西洋城,2002年
This paper and its companion (Elleson et al. 2002) report the results of ASHRAE Research Project RP-1004: Determining long-term performance of cool storage systems from short-term tests. The overall objective of this research was to develop generalized methodology for determining the long-term performance of an existing cool storage system based on short-term field measurements. Specifically, this involved:the development of an analysis methodology for determining energy and demand savings of the cooling plant due to the cool-storage system as compared to an otherwise identical one without such a cool-storage system. The analysis was to be based as much as possible on monitored data as against conventional methods that rely on simplified calculations of "typical" days during summer and winter which are then extrapolated to the whole year; andrecommendations for formulating a short-term measurement and verification (M&V) plan. This includes issues such as what specific measurements to make, the time of the year in which to make them (i.e., how one season may be more suitable than another), and the duration of the short-term monitoring period.Such a methodology has been developed and tested using monitored data from three case study sites, resulting in significant advances in the analysis of in-situ cool storage system performance. This methodology will simplify the evaluation of existing cool storage systems, which will enhance the application of cool storage technology. It will also provide a basis for the development of evaluation methodologies for other technologies; for example, thermal heating storage systems used in areas where expensive electrical energy is used for heating. While the companion paper describes the validation of field data used for the performance evaluation (Elleson et al. 2002), this paper describes details of the analysis methodology and presents the results of applying the methodology to the three case study sites. Recommendations for future work are also included.Units: I-P
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