High performance computing for energy efficient buildings

I. Akhtar, J. Borggaard, J. Burns
{"title":"High performance computing for energy efficient buildings","authors":"I. Akhtar, J. Borggaard, J. Burns","doi":"10.1145/1943628.1943664","DOIUrl":null,"url":null,"abstract":"Commercial buildings are the largest single consumer of energy in the United States. Energy efficient buildings will have a significant impact on overall energy consumption and greenhouse gas emissions. Buildings being multi-scale, multi-physics, highly uncertain dynamic systems, its energy efficiency is directly linked with the design and control of various systems in buildings. Achieving substantial levels of energy savings over the life-time of a building require not only the state-of-the-art hardware technology but also a thorough computational framework which includes mathematical algorithms, computational science methodologies and computer tools targeted for rapid analysis, optimization and control. Direct application of high fidelity simulation models to problems of optimal design and control is not feasible. Thus, reduced-order models are often developed for an efficient design and control. In this study, we present the application of high performance computing tools to perform high fidelity flow simulations in a typical room which serves as a basic unit in a building. Using a large data set of the flow and temperature field distributed among various processors, we compute optimal basis functions in parallel. These basis functions are used in developing reduced-order models of complex systems for control and optimization purposes.","PeriodicalId":434420,"journal":{"name":"International Conference on Frontiers of Information Technology","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Frontiers of Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1943628.1943664","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

Abstract

Commercial buildings are the largest single consumer of energy in the United States. Energy efficient buildings will have a significant impact on overall energy consumption and greenhouse gas emissions. Buildings being multi-scale, multi-physics, highly uncertain dynamic systems, its energy efficiency is directly linked with the design and control of various systems in buildings. Achieving substantial levels of energy savings over the life-time of a building require not only the state-of-the-art hardware technology but also a thorough computational framework which includes mathematical algorithms, computational science methodologies and computer tools targeted for rapid analysis, optimization and control. Direct application of high fidelity simulation models to problems of optimal design and control is not feasible. Thus, reduced-order models are often developed for an efficient design and control. In this study, we present the application of high performance computing tools to perform high fidelity flow simulations in a typical room which serves as a basic unit in a building. Using a large data set of the flow and temperature field distributed among various processors, we compute optimal basis functions in parallel. These basis functions are used in developing reduced-order models of complex systems for control and optimization purposes.
高效节能建筑的高性能计算
商业建筑是美国最大的能源消耗者。节能建筑将对整体能源消耗和温室气体排放产生重大影响。建筑是一个多尺度、多物理场、高度不确定的动态系统,其能效直接关系到建筑中各系统的设计与控制。在建筑的整个生命周期内实现大量的节能不仅需要最先进的硬件技术,还需要一个全面的计算框架,其中包括数学算法、计算科学方法和针对快速分析、优化和控制的计算机工具。直接将高保真仿真模型应用于优化设计和控制问题是不可行的。因此,通常为了有效的设计和控制而开发降阶模型。在这项研究中,我们展示了高性能计算工具的应用,在作为建筑物基本单元的典型房间中进行高保真的流动模拟。利用分布在不同处理器上的大量流场和温度场数据集,并行计算最优基函数。这些基函数用于开发用于控制和优化目的的复杂系统的降阶模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信