• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文学位 >Assessing Impact of Large-Scale Distributed Residential HVAC Control Optimization on Electricity Grid Operation and Renewable Energy Integration.
【24h】

Assessing Impact of Large-Scale Distributed Residential HVAC Control Optimization on Electricity Grid Operation and Renewable Energy Integration.

机译：评估大型分布式住宅HVAC控制优化对电网运行和可再生能源整合的影响。

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Demand management is an important component of the emerging Smart Grid, and a potential solution to the supply-demand imbalance occurring increasingly as intermittent renewable electricity is added to the generation mix. Model predictive control (MPC) has shown great promise for controlling HVAC demand in commercial buildings, making it an ideal solution to this problem. MPC is believed to hold similar promise for residential applications, yet very few examples exist in the literature despite a growing interest in residential demand management. This work explores the potential for residential buildings to shape electric demand at the distribution feeder level in order to reduce peak demand, reduce system ramping, and increase load factor using detailed sub-hourly simulations of thousands of buildings coupled to distribution power flow software. More generally, this work develops a methodology for the directed optimization of residential HVAC operation using a distributed but directed MPC scheme that can be applied to today's programmable thermostat technologies to address the increasing variability in electric supply and demand. Case studies incorporating varying levels of renewable energy generation demonstrate the approach and highlight important considerations for large-scale residential model predictive control.
机译：需求管理是新兴智能电网的重要组成部分，并且随着间歇性可再生电力被添加到发电组合中，解决供需不平衡的潜在解决方案也越来越多。模型预测控制（MPC）在控制商业建筑中的HVAC需求方面显示出了巨大的希望，使其成为解决此问题的理想解决方案。人们认为MPC在住宅应用方面也具有类似的前景，尽管对住宅需求管理的兴趣日益增加，但文献中很少有实例。这项工作探索了成千上万的建筑物的亚小时模拟，并结合了配电潮流软件，从而降低了住宅用电在配电馈线水平上形成电力需求的潜力，从而降低了峰值需求，降低了系统的运行速度并提高了负载系数。更广泛地讲，这项工作使用分布式但有针对性的MPC方案开发了一种用于住宅HVAC运行的有针对性优化的方法，该方案可应用于当今的可编程恒温器技术，以解决电力供应和需求不断变化的情况。结合不同水平的可再生能源发电的案例研究证明了该方法，并突出了大型住宅模型预测控制的重要考虑因素。

著录项

  • 作者

    Corbin, Charles D.;

  • 作者单位

    University of Colorado at Boulder.;

  • 授予单位 University of Colorado at Boulder.;
  • 学科 Engineering Architectural.;Engineering General.;Energy.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 385 p.
  • 总页数 385
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号