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

Author(s):  
Ali A. Jalalzadeh-Azar ◽  
Ren Anderson ◽  
Steven J. Slayzak ◽  
Joseph P. Ryan

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.

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4284
Author(s):  
Min-Hwi Kim ◽  
Youngsub An ◽  
Hong-Jin Joo ◽  
Dong-Won Lee ◽  
Jae-Ho Yun

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.


Energies ◽  
2019 ◽  
Vol 12 (22) ◽  
pp. 4275 ◽  
Author(s):  
Nora Cadau ◽  
Andrea De Lorenzi ◽  
Agostino Gambarotta ◽  
Mirko Morini ◽  
Michele Rossi

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.


1982 ◽  
Vol 19 (04) ◽  
pp. 894-899 ◽  
Author(s):  
J. Haslett

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.


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