Abstract
As renewable energy resources, including wind and solar, continue to be further implemented and connected to the U.S. electric grid, the available energy produced will become more variable. Wind and solar energy resources are highly dependent on wind and solar radiation availability, which both, by nature, are highly varied in comparison to traditional electricity generation sources. With the increasing presence of variable generation, it is beneficial to grid reliability to also be able to modulate grid loads to match available generation. This can be accomplished through load participation in flexibility services (FS). This research focuses on collaborative efforts to develop a modeling framework to assess the impact of the use of a diversity of building load types for FS, on grid operations. These impacts include the cost of energy, and transmission and distribution investments. This framework uses a combination of building energy models and surveys on willingness of building customers to participate in FS, as input into a grid model built in GTD (generation-transmission-distribution) expansion planning software. This research specifically focuses the use of this framework for the MISO (Midcontinent Independent System Operator) region, however, the framework can be used for other regions for use in evaluating FS opportunities.
| Original language | English |
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| Title of host publication | ASHRAE Virtual Annual Conference, ASHRAE 2021 |
| Publisher | ASHRAE |
| Pages | 23-26 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781955516006 |
| State | Published - 2021 |
| Event | 2021 ASHRAE Virtual Annual Conference, ASHRAE 2021 - Virtual, Online Duration: Jun 28 2021 → Jun 30 2021 |
Publication series
| Name | ASHRAE Transactions |
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| Volume | 127 |
| ISSN (Print) | 0001-2505 |
Conference
| Conference | 2021 ASHRAE Virtual Annual Conference, ASHRAE 2021 |
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| City | Virtual, Online |
| Period | 06/28/21 → 06/30/21 |
Funding
Some of the data used in this research is obtained through Dataport, from Pecan Street, Inc. This research was funded by the Alfred P. Sloan Foundation. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Alfred P. Sloan Foundation.