A numerical study for the prediction of turbulent mixing factor in thermal storage tanks

Al‐Najem, N.M.; El–Refaee, M. M.

doi:10.1016/s1359-4311(97)00030-6

Cited by 32 publications

(7 citation statements)

References 10 publications

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“…However, they require proper calibration to account for the thermal stratification effects. Some of the available 1D models are listed in [20,21] and their features are presented.…”

Section: Storage System Modelsmentioning

confidence: 99%

Primary energy savings through thermal storage in district heating networks

Verda

Colella

2011

Energy

203

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“…However, they require proper calibration to account for the thermal stratification effects. Some of the available 1D models are listed in [20,21] and their features are presented.…”

Section: Storage System Modelsmentioning

confidence: 99%

Primary energy savings through thermal storage in district heating networks

Verda

Colella

2011

Energy

203

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“…These are heat transfer to the surrounding ambient through the tank envelopment, heat diffusion in the water and heat transfer by axial conduction through the tank walls. However, in the dynamic mode of operation, heat transfer by mixing due to the water inflow and outflow has been recognized as the major contributor to the degradation of the thermal stratification [1,4]. The heat transfer by mixing depends mainly on the inlet and outlet port design.…”

Section: Introductionmentioning

confidence: 99%

Experimental analysis of a domestic electric hot water storage tank. Part II: dynamic mode of operation

Fernández-Seara

́a

Sieres

2007

Applied Thermal Engineering

119

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In this paper, the experimental analysis of a full-scale Domestic Electric Hot Water Storage Tank (DEHWST) with a capacity of 150 l is reported. The tank is equipped with three different inlets and two different outlets of practical interest. The dynamic mode of operation of the tank has been experimentally analyzed taking into account the six possible inlet-outlet port arrangements and water draw-off flow rates of 5, 10 and 15 l/min. The analysis is based on the transient temperature distributions of the outlet and inlet water flow and on the transient temperature profiles of the water inside the tank measured by an appropriate data acquisition system. Performance parameters to evaluate the thermal stratification in the tank and the discharging energy and exergy efficiencies are defined and calculated from the experimental data. The characteristic performance of the tank with different inlet-outlet port configurations is analyzed and the best one is identified and proposed to use in practice.

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“…These measures include optimizing the geometrical parameters of the water tank (e.g., tank size; height-to-diameter ratio, etc.) (e.g., [18,60,61]), better selecting inlet/outlet positions and shapes (e.g., [62][63][64][65][66]), determining appropriate operating conditions (inlet flow velocity, temperature, cyclic duration, etc.) (e.g., [67][68][69]), and adding baffle plate or porous mesh at the inlet of the tank (e.g., [70][71][72]).…”

Section: Short-term Sensible Tes Technologies Water Tankmentioning

confidence: 99%

Energy Storage by Sensible Heat for Buildings

Fan¹

2018

Handbook of Energy Systems in Green Buildings

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This chapter presents a state-of-the-art review on the available thermal energy storage (TES) technologies by sensible heat for building applications. After a brief introduction, the basic principles and the required features for desired sensible heat storage are summarized. Then, material candidates and recent advances on sensible heat or cold storage adapted for building application are discussed, each with its own characteristics, advantages, and limitations. A large section of the chapter is devoted to the sensible TES technologies for buildings, both for short-term (daily) and for long-term (seasonal) storage. Each technology is described in detail including different aspects: basic principle, development status, performance and costs, potential and barriers, today's R&D activity focus, etc. Comparisons on the advantages and limitations between different TES technologies are also made. Finally, conclusions and future directions are summarized.

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A numerical study for the prediction of turbulent mixing factor in thermal storage tanks

Cited by 32 publications

References 10 publications

Primary energy savings through thermal storage in district heating networks

Primary energy savings through thermal storage in district heating networks

Experimental analysis of a domestic electric hot water storage tank. Part II: dynamic mode of operation

Energy Storage by Sensible Heat for Buildings

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