Design of effective fins for fast PCM melting and solidification in shell-and-tube latent heat thermal energy storage through topology optimization

Pizzolato, Alberto; Sharma, Ashesh; Maute, Kurt; Sciacovelli, Adriano; Verda, Vittorio

doi:10.1016/j.apenergy.2017.10.050

Cited by 246 publications

(58 citation statements)

References 63 publications

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“…Alexandersen et al [151] extended their initial paper to large-scale three-dimensional heat sink problems using a parallel framework allowing for the optimisation of problems with up to 330 million DOFs. Pizzolato et al [152] applied topology optimisation to the design of fins in shell-and-tube latent heat thermal energy storage, including the temperature-dependent latent heat coupled with natural convection using a time-dependent formulation. Alexandersen et al [153] applied their previously developed framework to optimise the design of passive coolers for light-emitting diode (LED) lamps showing superior performance compared to reference lattice and pin fin designs.…”

Section: Natural Convectionmentioning

confidence: 99%

“…Analysing all papers, the vast majority use a steady-state laminar flow model with 158 papers or 85% as seen in Figure 8a. Only 13 papers or 7% consider a transient laminar flow model [72][73][74][75][76][77][78][79]145,150,152,158,188], with a meager six papers or 3% treating turbulent flow [21,[80][81][82][83]129]. In the case of time-dependent problems, this is most likely due to the vast increase in computational cost related to simulation of transient flow problems, where all temporal details must be resolved sufficiently and all temporal solutions saved in memory (or recomputed) for the adjoint solve.…”

Section: Flow Typesmentioning

confidence: 99%

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A Review of Topology Optimisation for Fluid-Based Problems

Alexandersen

Andreasen

2020

Fluids

186

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This review paper provides an overview of the literature for topology optimisation of fluid-based problems, starting with the seminal works on the subject and ending with a snapshot of the state of the art of this rapidly developing field. “Fluid-based problems” are defined as problems where at least one governing equation for fluid flow is solved and the fluid–solid interface is optimised. In addition to fluid flow, any number of additional physics can be solved, such as species transport, heat transfer and mechanics. The review covers 186 papers from 2003 up to and including January 2020, which are sorted into five main groups: pure fluid flow; species transport; conjugate heat transfer; fluid–structure interaction; microstructure and porous media. Each paper is very briefly introduced in chronological order of publication. A quantititive analysis is presented with statistics covering the development of the field and presenting the distribution over subgroups. Recommendations for focus areas of future research are made based on the extensive literature review, the quantitative analysis, as well as the authors’ personal experience and opinions. Since the vast majority of papers treat steady-state laminar pure fluid flow, with no recent major advancements, it is recommended that future research focuses on more complex problems, e.g., transient and turbulent flow.

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Section: Natural Convectionmentioning

confidence: 99%

Section: Flow Typesmentioning

confidence: 99%

A Review of Topology Optimisation for Fluid-Based Problems

Alexandersen

Andreasen

2020

Fluids

186

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“…Natural convection on the outer surface is represented by a model of the Modelica Standard Library [9]. The heat transfer coefficient is set to a value of 50 W/(m 2 K), which is 5-10 times higher than for natural convection and describes an active cooling by a fan.…”

Section: Air Cooling Systemmentioning

confidence: 99%

Experimental and numerical analysis of composite latent heat storage in cooling systems for power electronics

Helbing

Schmitz

2019

Heat Mass Transfer

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This article presents a validated numerical model of composite latent heat storage (CLHS) used for designing cooling systems for power electronics (PE). Successfully implementing CLHS depends on many factors. Testing all of them on a test rig is expensive and time consuming. A CLHS model allows system designers to test CLHS in complex applications by varying dimensions and operating conditions. The model is written in the equation-based modelling language Modelica and represents the melting process of three-dimensional discretised CLHS. In order to validate the model a test rig is built and validation results are shown. The validated CLHS model is used in two different cooling systems. The first system is an air cooling system for power electronics with a high dynamic behaviour and lower power output. The second cooling system is a more complex liquid cooling system with a significantly increased power output. The article shows and discusses the results of both system simulations.

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“…Using fins comes with two questions: which contour should they have, and how should they be positioned in the storage? To answer these questions, mostly numerical investigations have been carried out using e.g., topology optimization in [24,25]. Different fin positions are focused on in [26] or [27], and fins versus pins are investigated in [28].…”

Section: Introductionmentioning

confidence: 99%

Heat Transfer in Latent High-Temperature Thermal Energy Storage Systems—Experimental Investigation

2019

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Thermal energy storage systems with phase-change materials promise a high energy density for applications where heat is to be stored in a narrow temperature range. The advantage of higher capacities comes along with some challenges in terms of behavior prediction. The heat transfer into such a storage is highly transient and depends on the phase state, which is either liquid or solid in the present investigation. The aim is to quantify the heat transfer into the storage and to compare two different fin geometries. The novel geometry is supposed to accelerate the melting process. For this purpose, a single tube test rig was designed, built, and equipped with aluminum fins. The phase-change material temperature as well as the heat-transfer fluid temperature at the inlet and outlet were measured for charging and discharging cycles. Sodium nitrate is used as phase-change material, and the storage is operated ±30 ∘ C around the melting point of sodium nitrate, which is 306 ∘ C . An enthalpy function for sodium nitrate is proposed and the methodology for determining the apparent heat-transfer rate is provided. The phase-change material temperature trends are shown and analyzed; different melting in radial and axial directions and in the individual geometry sections occurs. With the enthalpy function for sodium nitrate, the energy balance is determined over the melting range. Values for the apparent heat-transfer coefficient are derived, which allow capacity and power estimations for industrial-scale latent heat thermal energy systems.

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Design of effective fins for fast PCM melting and solidification in shell-and-tube latent heat thermal energy storage through topology optimization

Cited by 246 publications

References 63 publications

A Review of Topology Optimisation for Fluid-Based Problems

A Review of Topology Optimisation for Fluid-Based Problems

Experimental and numerical analysis of composite latent heat storage in cooling systems for power electronics

Heat Transfer in Latent High-Temperature Thermal Energy Storage Systems—Experimental Investigation

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