@inproceedings{36371,
  author = {Weiping Huang and Armando Casillas and Marco Pritoni and Shreya Agarwal and Rongxin Yin and Anand Prakash},
  title = {Analyzing The Impact Of Energy Efficient ASHRAE Guideline 36 Control Sequences On Demand Flexibility Potential Of Commercial Buildings: A Multi-Region Analysis},
  abstract = {<p>Traditional control sequences for HVAC systems in large commercial buildings have<br>historically led to poor energy efficiency. To overcome this issue, ASHRAE has recently<br>published Guideline 36 (G36), a collection of high-performance control sequences aimed at<br>reducing energy consumption and cost for building owners. While these sequences are effective<br>in increasing energy efficiency, their influence on a building's capacity to deliver demand<br>flexibility remains uncertain. Prior research suggests a potential trade-off between energy<br>efficiency and demand flexibility because permanently reducing energy use negatively impacts<br>the available amount of load that can be reduced when responding to grid signals. To investigate<br>this hypothesis, we created Modelica simulation models for an air handling unit with a G36<br>trim-and-respond sequence, calibrated these models to a fully instrumented experimental<br>building testbed X1A in FLEXLAB, and simulated different demand flexibility scenarios.<br>Counter to expectations, results show that, during a “shed event” with prior pre-cooling, G36<br>reduces demand by around 3.1 W/m2 more than the traditional control sequences, at the cost of a<br>reduction in comfort (1.5 °C-hour/day) across five different cities across the United States. Our<br>results provide encouraging evidence that, under the tested conditions, G36 does not decrease<br>demand flexibility. This study should increase the confidence of building owners, designers, and<br>operators who are looking to take advantage of demand flexibility programs while complying<br>with increasingly stringent building energy efficiency standards.</p>},
  year = {2024},
  journal = {ACEEE Summer Study },
  month = {08/2024},
}