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Cleanroom energy efficiency strategies: Modeling and simulation

机译：洁净室能源效率策略：建模和仿真

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摘要

To maintain ultra-low particle concentrations, deanrooms can require several hundred air changes per hour. These ventilation rates make deanrooms 30-50 times more energy intensive than the average U.S. commercial building. There are an estimated 12 million m~2 of cleanroom space in the U.S., consuming over 370 PJ of energy each year. This paper explores opportunities to improve the energy efficiency of cleanrooms while maintaining or improving operating conditions.rnThis paper documents the modeling of a 1600 m~2 cleanroom in upstate New York. The TRNSYS model includes TMY2 weather data; building geometry and material properties; empirical data on occupancy, lighting and process equipment; and sophisticated HVAC systems. The model was validated based on metered steam, chilled water and electricity usage. Under 8% error was achieved in all fields.rnFour strategies were simulated: a heat recovery system for exhaust air, resulting in an 11.4% energy reduction with a 2.7-year simple payback; solar preheating of desiccant dehumidifier regeneration air (2.4% energy reduction, 11.5-year payback); improved lighting controls (0.3% energy reduction, 1.5-year payback); and demand-controlled filtration (4.4% energy reduction, 3.1-year payback). Implementation of recommended strategies is predicted to save 9 TJ, 862 tonnes of CO_2, and $164k annually.
机译：为了保持超低的颗粒浓度，洗手间每小时可能需要换气数百次。这些通风率使厅室的能源消耗是美国普通商业建筑的30至50倍。在美国，估计有1200万平方米的洁净室空间，每年消耗370 PJ以上的能量。本文探索了在保持或改善操作条件的同时提高洁净室能效的机会。本文研究了纽约州北部一个1600 m〜2洁净室的建模。 TRNSYS模型包括TMY2气象数据；建筑的几何形状和材料特性；占用，照明和过程设备的经验数据；和先进的HVAC系统。该模型基于计量的蒸汽，冷冻水和电力使用进行了验证。在所有领域中，误差均在8％以下。rn模拟了四种策略：排气的热回收系统，以2.7年的简单投资回收期实现了11.4％的能耗降低；干燥剂除湿器再生空气的太阳能预热（节能2.4％，投资回收期11.5年）；改善照明控制（节能0.3％，1.5年的投资回收期）；和需求控制的过滤（节能4.4％，投资回收期3.1年）。预计实施推荐的策略每年将节省9 TJ，862吨CO_2和16.4万美元。

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  • 来源
    《Energy and Buildings》 |2010年第3期|282-289|共8页
  • 作者

    K. Kircher; X. Shi; S. Patil; K. Max Zhang;

  • 作者单位

    School of Applied and Engineering Physics, Cornell University, Ithaca, NY 14853, USA;

    Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853, USA;

    Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853, USA;

    Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    energy efficiency; cleanrooms; building simulation; demand-controlled filtration;

    机译：能源效率;洁净室建筑模拟;需求控制过滤;

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