scholarly journals Thermal Energy Storage Model Development within the Integrated Energy Systems Hybrid Repository

2021 ◽  
Author(s):  
Konor Frick ◽  
Daniel Mikkelson ◽  
Shannon Bragg-Sitton ◽  
Cristian Rabiti
Keyword(s):  
Energy Storage ◽  
Thermal Energy ◽  
Thermal Energy Storage ◽  
Model Development ◽  
Energy Systems ◽  
Storage Model ◽  
Integrated Energy Systems

Dynamics of Thermal Energy Storage in Integrated Energy Systems With On-Site Power Generation

2002 ◽  
Author(s):  
Ali A. Jalalzadeh-Azar ◽  
Ren Anderson ◽  
Steven J. Slayzak ◽  
Joseph P. Ryan
Keyword(s):  
Power Generation ◽  
Energy Storage ◽  
Thermal Energy ◽  
Thermal Energy Storage ◽  
Energy Requirement ◽  
Energy Systems ◽  
Electrical Energy ◽  
Energy Availability ◽  
Packed Beds ◽  
Integrated Energy Systems

Integrated energy systems (IES) incorporating on-site power generation provide opportunities for improving reliability in energy supply, maximizing fuel efficiency, and enhancing environmental quality. To fully realize these attributes, optimum design and dynamic performance of integrated systems for a given application have to be pursued. Whether referred to as cogeneration, combined heat and power (CHP) or building cooling, heating, and power (BCHP), integrated energy systems manifest effective energy management aimed at closing spatial and temporal gaps between demand and supply of electrical and thermal energy. This is accomplished by on-site power production and utilization of the resulting thermal energy availability for thermally-driven technologies including desiccant dehumidification, absorption cooling, and space heating. The notion that the demands for thermal and electrical energy are not always congruent and in phase signifies the importance of considering thermal energy storage (TES) for integration. This paper explores the potential impact of implementing TES technology on the overall performance of integrated energy systems from the first- and second-law perspectives. In doing so, the dynamics of packed bed thermal energy storage systems for potential energy recovery from the exhaust gas of microturbines are investigated. Using a validated simulation model, the transient thermal response of these TES systems is examined via parametric analyses that allow variation in the thermal energy availability and physical characteristics of the packed beds. The parasitic electrical energy requirement associated with the pressure losses in the packed beds is included in the performance assessment. The results of this study are indicative of the promising role of TES in integrated energy systems.

scholarly journals Self-Sufficiency and Energy Savings of Renewable Thermal Energy Systems for an Energy-Sharing Community

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4284
Author(s):  
Min-Hwi Kim ◽  
Youngsub An ◽  
Hong-Jin Joo ◽  
Dong-Won Lee ◽  
Jae-Ho Yun
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Thermal Energy ◽  
Thermal Energy Storage ◽  
Energy Systems ◽  
Hot Water ◽  
Pump System ◽  
Ground Source Heat Pumps ◽  
Self Sufficiency ◽  
Energy Sharing

Due to increased grid problems caused by renewable energy systems being used to realize zero energy buildings and communities, the importance of energy sharing and self-sufficiency of renewable energy also increased. In this study, the energy performance of an energy-sharing community was investigated to improve its energy efficiency and renewable energy self-sufficiency. For a case study, a smart village was selected via detailed simulation. In this study, the thermal energy for cooling, heating, and domestic hot water was produced by ground source heat pumps, which were integrated with thermal energy storage (TES) with solar energy systems. We observed that the ST system integrated with TES showed higher self-sufficiency with grid interaction than the PV and PVT systems. This was due to the heat pump system being connected to thermal energy storage, which was operated as an energy storage system. Consequently, we also found that the ST system had a lower operating energy, CO2 emissions, and operating costs compared with the PV and PVT systems.

scholarly journals Development and Analysis of a Multi-Node Dynamic Model for the Simulation of Stratified Thermal Energy Storage

Energies ◽  
2019 ◽  
Vol 12 (22) ◽  
pp. 4275 ◽  
Author(s):  
Nora Cadau ◽  
Andrea De Lorenzi ◽  
Agostino Gambarotta ◽  
Mirko Morini ◽  
Michele Rossi
Keyword(s):  
Energy Storage ◽  
Thermal Energy ◽  
Thermal Energy Storage ◽  
Supply And Demand ◽  
District Heating ◽  
Energy Systems ◽  
High Flow ◽  
Market Penetration ◽  
Flow Rates ◽  
Smart Energy Systems

To overcome non-programmability issues that limit the market penetration of renewable energies, the use of thermal energy storage has become more and more significant in several applications where there is a need for decoupling between energy supply and demand. The aim of this paper is to present a multi-node physics-based model for the simulation of stratified thermal energy storage, which allows the required level of detail in temperature vertical distribution to be varied simply by choosing the number of nodes and their relative dimensions. Thanks to the chosen causality structure, this model can be implemented into a library of components for the dynamic simulation of smart energy systems. Hence, unlike most of the solutions proposed in the literature, thermal energy storage can be considered not only as a stand-alone component, but also as an important part of a more complex system. Moreover, the model behavior has been analyzed with reference to the experimental results from the literature. The results make it possible to conclude that the model is able to accurately predict the temperature distribution within a stratified storage tank typically used in a district heating network with limitations when dealing with small storage volumes and high flow rates.

New bounds for the thermal energy storage process with stationary input

1982 ◽  
Vol 19 (04) ◽  
pp. 894-899 ◽  
Author(s):  
J. Haslett
Keyword(s):  
Energy Storage ◽  
Thermal Energy ◽  
Thermal Energy Storage ◽  
Energy Systems ◽  
Solar Thermal ◽  
Solar Thermal Energy ◽  
Storage Process

The process {Xn }, defined by Xn + 1 = max{Yn + 1 + αßX n, ßX n}, with αand ß in [0, 1) and {Yn } stationary, arises in studies of solar thermal energy systems. Bounds for the stationary mean EX are given, which are more general and in some cases tighter, than those previously available.

A thermal energy storage process with controlled input

1982 ◽  
Vol 14 (02) ◽  
pp. 257-271 ◽  
Author(s):  
D. J. Daley ◽  
J. Haslett
Keyword(s):  
Stochastic Process ◽  
Energy Storage ◽  
Thermal Energy ◽  
Thermal Energy Storage ◽  
Queueing Theory ◽  
Random Variable ◽  
Stationary Sequence ◽  
Storage Process ◽  
Storage Model ◽  
Special Cases

The stochastic process {Xn } satisfying Xn +1 = max{Yn +1 + αβ Xn , βXn } where {Yn } is a stationary sequence of non-negative random variables and , 0<β <1, can be regarded as a simple thermal energy storage model with controlled input. Attention is mostly confined to the study of μ = EX where the random variable X has the stationary distribution for {Xn }. Even for special cases such as i.i.d. Yn or α = 0, little explicit information appears to be available on the distribution of X or μ . Accordingly, bounding techniques that have been exploited in queueing theory are used to study μ . The various bounds are illustrated numerically in a range of special cases.

Active Fluidized Bed Technology Used for Thermal Energy Storage

2016 ◽  
Author(s):  
Peter Steiner ◽  
Karl Schwaiger ◽  
Heimo Walter ◽  
Markus Haider
Keyword(s):  
Energy Storage ◽  
Fluidized Bed ◽  
Thermal Energy ◽  
Thermal Energy Storage ◽  
Design Methodology ◽  
Energy Systems ◽  
Test Rig ◽  
Key Technology ◽  
Numerical Investigations ◽  
Storage Technologies

A higher number of research institutions work on solutions for energy storage systems. Therefore a large number of differing approaches in competition among each other to develop storage technologies. At the TU-Wien, Institute for Energy Systems and Thermodynamics a novel thermal energy storage concept based on an active fluidized bed technology — the so called sandTES-heat exchanger technology — has been developed. The present paper describes the basic idea behind the key technology and the design methodology of a test rig in semi-industrial scale. In addition the results of selected preliminary experimental and numerical investigations are presented and discussed.

scholarly journals Development of a thermal energy storage model for EnergyPlus

2004 ◽  
Vol 36 (8) ◽  
pp. 807-814 ◽  
Author(s):  
Pyeongchan Ihm ◽  
Moncef Krarti ◽  
Gregor P. Henze
Keyword(s):  
Energy Storage ◽  
Thermal Energy ◽  
Thermal Energy Storage ◽  
Storage Model
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