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Evaluating Synergistic Effects of Optimally Controlling Temperature and Ventilation in Grid-Interactive Efficient Commercial Buildings.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Evaluating Synergistic Effects of Optimally Controlling Temperature and Ventilation in Grid-Interactive Efficient Commercial Buildings./
作者:	Klavekoske, Andrew Brian.
面頁冊數:	1 online resource (113 pages)
附註:	Source: Masters Abstracts International, Volume: 84-03.
Contained By:	Masters Abstracts International84-03.
標題:	Architectural engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29324027click for full text (PQDT)
ISBN:	9798351427072

Evaluating Synergistic Effects of Optimally Controlling Temperature and Ventilation in Grid-Interactive Efficient Commercial Buildings.
Klavekoske, Andrew Brian.

Evaluating Synergistic Effects of Optimally Controlling Temperature and Ventilation in Grid-Interactive Efficient Commercial Buildings. - 1 online resource (113 pages)

Source: Masters Abstracts International, Volume: 84-03.

Thesis (M.S.)--University of Colorado at Boulder, 2022.

Includes bibliographical references

Buildings with demand flexibility can provide economic relief for themselves, distributed energy resources (DERs) for the local grid, and increased consumption of renewable energies benefiting everyone. Grid-interactive Efficient Buildings (GEBs) with advanced control paradigms will be crucial in providing such flexibility. Due to an unavoidable trade-off with energy consumption, ventilation and indoor air quality (IAQ) are an often-overlooked aspect in the optimal control of heating, ventilation, and air conditioning (HVAC). In a post-COVID sustainable energy future, buildings will need to efficiently shift load while maintaining acceptable IAQ. This thesis explores the degree to which grid interactive ventilation optimization increases a building's flexibility. This research also evaluates the level to which synergistic effects may exist between ventilation and temperature setpoint optimization.A multiobjective optimization framework invoking model predictive control (MPC) was used to determine hourly schedules for both outdoor air (OA) flow fractions and zone temperature setpoints. A modeled real-world large commercial office building was simulated using actual New York (NY) weather data during the summer 2019 cooling season. Grid-interactive ventilation optimization alone was shown to be capable of outperforming conventional ventilation strategies such as demand control ventilation (DCV). A simultaneous optimization of OA and temperature revealed synergistic effects with higher reductions in cost and carbon emissions when compared to individual sequential optimizations. The need for good IAQ and the desire for demand flexibility is clear and increased control over more HVAC components presents a way forward.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798351427072Subjects--Topical Terms:

3174102
Architectural engineering.
Subjects--Index Terms:

Building simulationIndex Terms--Genre/Form:

542853
Electronic books.

Evaluating Synergistic Effects of Optimally Controlling Temperature and Ventilation in Grid-Interactive Efficient Commercial Buildings.
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