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Adaptive Operational Strategy Optimization For Energy Efficiency In Net-Zero Energy Building Clusters.

机译：净零能耗建筑群中能效的自适应运行策略优化。

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摘要

In light of the growing strain on the energy grid and the increased awareness of the significant role buildings play within the energy ecosystem, the need for building operational strategies which minimize energy consumption has never been greater. One of the major hurdles impeding this realization primarily lies not in the lack of decision strategies, but in their inherent lack of adaptability. With most operational strategies partly dictated by a dynamic trio of social, economic and environmental factors, it is important to realize and capitalize on this dynamism to open up new avenues for energy savings. To this end, this thesis develops an adaptive decision framework for developing robust operational strategies in Net-zero energy building clusters. A bi-level operation framework is presented to study the hourly energy trade-offs between operational strategies with respect to energy cost, comfort and uncertainty. The derived Pareto frontiers obtained from the decision model demonstrate that there are significant energy gains to be made with the approach.
机译：鉴于能源网格上日益紧张的压力以及人们对建筑物在能源生态系统中的重要作用的认识的日益提高，制定使能耗最小化的运营策略的需求从未如此迫切。阻碍实现这一目标的主要障碍之一不是在于缺乏决策策略，而是其固有的缺乏适应性。由于大多数运营策略部分由动态的社会，经济和环境因素决定，因此，重要的是要意识到并利用这种活力，以开辟节约能源的新途径。为此，本文开发了一种自适应决策框架，用于开发零净能源建筑群中的鲁棒运行策略。提出了一个双层运营框架，以研究运营策略之间在能源成本，舒适性和不确定性方面的每小时能源权衡。从决策模型获得的派生帕累托边界表明，该方法可以显着提高能源消耗。

著录项

  • 作者

    Odonkor, Philip.;

  • 作者单位

    State University of New York at Buffalo.;

  • 授予单位 State University of New York at Buffalo.;
  • 学科 Mechanical engineering.
  • 学位 M.S.
  • 年度 2015
  • 页码 128 p.
  • 总页数 128
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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