Assessing the performance of uncertainty-aware transactive controls for building thermal energy storage systems

Yu, Min; Pavlak, Gregory S.

doi:10.1016/j.apenergy.2020.116103

Cited by 21 publications

(3 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…• Communication platforms to enroll customers, assess their storage capabilities, and remotely control the charge/discharge of distributed energy storage systems based on grid signals to enable large-scale deployment [39]. Through these platforms, transactive control between the grid and the aggregator can be performed and the needed demand-side management can be conducted through controls at a building level [40].…”

Section: Examples Of Promising Innovationsmentioning

confidence: 99%

Technology Strategy Assessment: Findings from Storage Innovations 2030 Thermal Energy Storage

Balliet,

McLaughlin,

et al. 2023

View full text Add to dashboard Cite

This technology strategy assessment on thermal energy storage, released to assess progress towards the Long-Duration Storage Shot, contains findings from the Storage Innovations (SI) 2030 strategic initiative. The objective of SI 2030 is to develop specific and quantifiable research, development, and deployment (RD&D) pathways to achieve the targets identified in the Long-Duration Storage Shot, which seeks to achieve 90% cost reductions for technologies that can provide 10 hours or longer of energy storage within the coming decade. Through SI 2030, the U.S. Department of Energy (DOE) is aiming to understand, analyze, and enable the innovations required to unlock the potential for long-duration applications in the following technologies:The findings in this report primarily come from two pillars of SI 2030-the SI Framework and the SI Flight Paths. For more information about the methodologies of each pillar, please reference the SI 2030 Methodology Report, released alongside the ten technology reports.

show abstract

Section: Examples Of Promising Innovationsmentioning

confidence: 99%

Technology Strategy Assessment: Findings from Storage Innovations 2030 Thermal Energy Storage

Balliet,

McLaughlin,

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Demand-side flexibility, achieved with a highly integrated level of communication and coordination between the power supply and demand side, has been identified by recent studies as one of the key factors in the pathway towards carbon neutrality [1,2]. While optimally controlled building thermal energy storage (TES) has been utilized for decades in providing various benefits, including load shifting [3,4], reducing energy cost [5,6], balancing fluctuation [7,8,9], reducing the size of battery storage [10], managing price volatility and uncertainty [11], and even reducing fossil-fired generation [12], adapting the traditional TES controls into a grid-interactive building control framework creates new challenges.…”

Section: Introductionmentioning

confidence: 99%

Analyzing Harmony and Discord Among Optimal Building Controllers Responding to Energy, Cost, and Carbon Reduction Objectives

Pavlak

2023

ASME Journal of Engineering for Sustainable Buildings and Cities

Self Cite

View full text Add to dashboard Cite

Optimization and control of building thermal energy storage holds great potential for unlocking demand-side flexibility. As information regarding grid operations become available, grid-interactive building controls inherently become a multi-objective problem. Typical multi-objective optimization frameworks often introduce greater complexity and are less favorable for achieving widespread adoption. With the goal of easing deployment of advanced building controls and aiding the building-to-grid integration, this work aims to evaluate the trade-offs and degrees of sub-optimality introduced by implementing single-objective controllers only. We formulate and apply a single-objective, model predictive control (MPC) framework to individually optimize building thermal storage assets of two types of commercial buildings, informed by future grid scenarios, around energy, economic, environmental and peak demand objectives. For each day, we compare the building's performance in every category as if it had been controlled by four separate single-objective controllers. We reveal the level of harmony that exists between these simple single-objective problems and quantify the potential loss in three of the objectives if the optimal control problem were to respond to only one of the grid signals. Results show that on most days, the carbon and energy controllers retained most of the savings in energy, cost, and carbon. Trade-offs were observed between the peak demand controller and the other objectives, and during extreme energy pricing events. These observations are further discussed in terms of their implications for the design of grid-interactive building incentive signals and utility tariffs.

show abstract

“…In [15], thermostatic loads of heat pumps and air conditioners are operated based on the TC paradigm, while maintaining comfortable temperatures. A double stage stochastic approach, which allows thermal energy storages of buildings to manage the uncertainty resulting from energy procurement in a TC context, is reported in [16]. Finally, a TE approach based on peer-to-peer transactions in the context of multiple energy hubs, with multiple energy carriers and high infeed of RES, is discussed in [17].…”

Section: Introductionmentioning

confidence: 99%

Hybrid pricing based operation of coupled electric power and district heating networks

Maurer

Golla

Richter

et al. 2021

Sustainable Energy, Grids and Networks

View full text Add to dashboard Cite

Assessing the performance of uncertainty-aware transactive controls for building thermal energy storage systems

Cited by 21 publications

References 45 publications

Technology Strategy Assessment: Findings from Storage Innovations 2030 Thermal Energy Storage

Technology Strategy Assessment: Findings from Storage Innovations 2030 Thermal Energy Storage

Analyzing Harmony and Discord Among Optimal Building Controllers Responding to Energy, Cost, and Carbon Reduction Objectives

Hybrid pricing based operation of coupled electric power and district heating networks

Contact Info

Product

Resources

About