考虑通过热能储存满足需求的制造设施余热评估

Adam C. Gladen, Xuelei Xiao, Alexander Zeller, Yao Yu
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引用次数: 0

摘要

对一家制造厂进行了余热评估。物理调查确定了潜在的废热源。通过测量、计算和公司记录,确定了这些废热源的温度和流量的时间波动以及出现废热的频率。计算了余热的能量和放能。每年的余热总能量为 36.5 太焦耳,相当于 0.84 太焦耳的放能。锅炉、工厂真空和冷却器占废热能量的 96%,也是废热能量的主要来源。对利用废热为空间供暖进行了评估。根据锅炉的燃料消耗量,每年用于空间供暖的能量估计为 8.5 TJ。理论上,来自锅炉烟道、聚丙烯干燥机和工厂真空的废热无需储存即可满足 39% 的能源需求。只需让真空排气在建筑物内冷却,理论上就可满足 27% 的需求。我们建立了模型来研究如何利用余热回收和热能储存(TES)为原型仓库建筑提供空间供暖,并对回收系统的初始成本进行了估算。建模结果表明,TES 非常有利于匹配短期需求波动和平滑废热的时间振荡。对为期九个月的供暖季进行了模拟,以确定回收系统所能满足的负荷比例。少量的蓄热(例如占每日废热的 12.5 - 25%)可提高可满足需求的比例。较大的储存量会导致收益递减,并显著增加初始成本和投资回收期。为了降低初始成本,我们提出了一个改进的回收系统设计方案,该方案使用一个 TES 作为中间设备并进行存储。该研究强调,需要考虑余热供应和汇需求的波动,进行热存储,并确定相对简单的余热回收改造。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Waste Heat Assessment of a Manufacturing Facility with Consideration for Demand Matching through Thermal Energy Storage
A waste heat assessment of a manufacturing facility was conducted. A physical survey identified potential waste heat sources. For these sources, the temporal fluctuations in temperature and flow rate, and the frequency of occurrence of the waste heat, were determined from measurements, calculations, and company records. The energy and exergy of the waste heat were calculated. The total annual waste heat is 36.5 TJ of energy which represents 0.84 TJ of exergy. The boiler, plant vacuums, and chiller comprise 96% of the energy rejected and are the major contributors to the rejected exergy. Using the waste heat for space heating is evaluated. Based on fuel consumption in the boiler, the annual energy for space heating is estimated 8.5 TJ. Theoretically, waste heat from the boiler flue, polypropylene dryers, and plant vacuums could meet up to 39% of this energy without storage. Simply allowing the vacuum exhausts to cool in the building could theoretically meet up to 27%. Models are developed to investigate using waste heat recovery and thermal energy storage (TES) to provide space heating for a prototype warehouse building, and estimates for the initial costs of the recovery system are developed. Modeling indicates that TES is highly beneficial for matching short-term demand fluctuations and for smoothing the temporal oscillations in the waste heat. A nine-month heating season is simulated to determine the fraction of the load met by the recovery system. A small amount of thermal storage, e.g. 12.5 - 25% of daily waste heat, improved the fraction of demand that could be met. Larger sizes had diminishing returns and significantly increased the initial cost and payback period. To reduce initial cost, a refined recovery system design which uses a TES as an intermediate and for storage is proposed. The study highlights the need to consider fluctuations in the waste heat supply and sink demand, for thermal storage, and to identify relatively simple modifications to recover waste heat.
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