NDLI: Parametric Analysis of Active and Passive Building Thermal Storage Utilization

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Zhou, Guo Krarti, Moncef Gregor, P. Henze
Copyright Year	2004
Abstract	Cooling of commercial buildings contributes significantly to the peak demand placed on an electrical utility grid. Time-of-use electricity rates encourage shifting of electrical loads to off peak periods at night and on weekends. Buildings can respond to these pricing signals by shifting cooling-related thermal loads either by precooling the building’s massive structure or by using active thermal energy storage systems such as ice storage. While these two thermal batteries have been engaged separately in the past, this paper investigates the merits of harnessing both storage media concurrently in the context of optimal control for a range of selected parameters. A parametric analysis was conducted utilizing an EnergyPlus-based simulation environment to assess the effects of building mass, electrical utility rates, season and location, economizer operation, central plant size, and thermal comfort. The findings reveal that the cooling-related on-peak electrical demand and utility cost of commercial buildings can be substantially reduced by harnessing both thermal storage inventories using optimal control for a wide range of conditions.
Sponsorship	Solar Energy Division
Starting Page	193
Ending Page	203
Page Count	11
File Format	PDF
ISBN	0791837475
DOI	10.1115/ISEC2004-65087
Volume Number	Solar Energy
Conference Proceedings	ASME 2004 International Solar Energy Conference
Language	English
Publisher Date	2004-07-11
Publisher Place	Portland, Oregon, USA
Access Restriction	Subscribed
Subject Keyword	Cooling Storage Simulation Optimal control Thermal energy storage Structures Ice Signals Stress
Content Type	Text
Resource Type	Article

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Parametric Analysis of Active and Passive Building Thermal Storage Utilization

Trade-Off Between Energy Consumption and Utility Cost in the Optimal Control of Active and Passive Building Thermal Storage Inventory

Predictive Optimal Control of Active and Passive Building Thermal Storage Inventory

Evaluation of Reinforcement Learning for Optimal Control of Building Active and Passive Thermal Storage Inventory

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Evaluation of Reinforcement Learning for Optimal Control of Building Active and Passive Thermal Storage Inventory

Advances in Near-Optimal Control of Passive Building Thermal Storage

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Evaluation of Energy Savings by Optimization Control in Thermal Energy Storage System

Parametric Analysis of Active and Passive Building Thermal Storage Utilization

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