Model predictive control approach to online computation of demand-side flexibility of commercial buildings HVAC systems for Supply Following

ACC(2014)

引用 121|浏览49
暂无评分
摘要
Commercial buildings have inherent flexibility in how their HVAC systems consume electricity. We investigate how to take advantage of this flexibility. We first propose a means to define and quantify the flexibility of a commercial building. We then propose a contractual framework that could be used by the building operator and the utility to declare flexibility on the one side and reward structure on the other side. We then design a control mechanism for the building to decide its flexibility for the next contractual period to maximize the reward, given the contractual framework. Finally, we perform at-scale experiments to demonstrate the feasibility of the proposed algorithm.
更多
查看译文
关键词
reward structure,power consumption,commercial buildings,hvac,control system synthesis,online computation,control mechanism design,electricity consumption,contractual framework,predictive control for nonlinear systems,demand-side flexibility,hvac systems,supply following,building and facility automation,power systems,buildings (structures),model predictive control approach,predictive control,optimal control,electricity,heating,engineering
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要