Topology Optimization for Additive manufacturing of thermal storage heat exchangers with PCMs (TopAddPCM)
Topology Optimization for Additive manufacturing of thermal storage heat exchangers with PCMs (TopAddPCM)
批准号:
EP/R016402/1
负责人:
Adriano Sciacovelli
金额:
$12.84万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --
中文摘要
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英文摘要
UK has committed to an ambitious decarbonisation plan: reduce CO2 emissions by 80% by 2050 - a dramatic transformation of our energy system. Decarbonisation of the electricity sector is expected by 2030. However, meeting the targets will be impossible if decarbonisation of heat is not tackled. More than half of UK finial energy use is due to heating and cooling, which accounts for about 30% of CO2 emissions. This will require the introduction of low carbon alternatives - wind and solar energy in particular. However, such a shift poses major challenges including the imbalance between supply and demand, congestion of energy networks and in ultimate analysis the need of a more flexible energy system. Thermal energy storage (TES) has the potential to provide a solution to these challenges by capturing excess heat, time-shifting heat demand and increasing the use of renewable sources. Among the TES technologies, latent heat thermal energy storage (LHTES) is seen as one of the most promising; LHTES uses phase change materials (PCMs) and it stores/releases thermal energy during a solid to liquid phase transition of the PCM. As our ability of storing thermal energy efficiently depends significantly on the design of the heat exchangers enclosing the PCMs, a great attention has been drawn to designing new LHTES heat exchangers that outperform current state-of-the art ones. To devise the LHTES heat exchangers of the future, thinking of advanced design methods - coupled with proper manufacturing techniques - is urgently necessary. The proposed research - involving energy storage, computational methods, heat & mass transfer and manufacturing technologies - aims to i) establish a generalized route to designing thermal energy storage systems with PCMs using topology optimization methods and to ii) link the designing route with metal additive manufacturing methods. This project will therefore offer an innovative numerical design methodology and will generate experimental evidences that will allow a robust validation of the proposed method.This proposal is highly relevant for the UK research and industry in the energy sector; in particular i) It will help researchers to develop thermal energy storage systems faster and more accurately; in doing so it will enable faster deployment of low carbon technologies ii) it will support UK in maintaining a leading role in the field of energy storage - one of the pillar technologies identified by the UK's government industrial strategy iii) it will test additive manufacturing in the novel context of thermal energy storage; therefore it will offer the opportunity of a new market sector for additive manufacturing products.
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DOI:
10.1016/j.est.2023.107132
发表时间:
2023
期刊:
Journal of Energy Storage
影响因子:
9.4
作者:
[G. Humbert;A. Sciacovelli]
通讯作者:
G. Humbert;A. Sciacovelli
DOI:
10.1016/j.applthermaleng.2020.115878
发表时间:
2020-11
期刊:
Applied Thermal Engineering
影响因子:
6.4
作者:
[Ruihuan Ge;G. Humbert;R. Martínez;Moataz M. Attallah;A. Sciacovelli]
通讯作者:
Ruihuan Ge;G. Humbert;R. Martínez;Moataz M. Attallah;A. Sciacovelli
Form Stable phase change materials (PCMs) for thermal energy storage: investigation of structure-property links with performance and costs considerations
用于热能储存的稳定相变材料(PCM):研究结构与性能之间的联系以及性能和成本考虑
DOI:
--
发表时间:
2019
期刊:
影响因子:
--
作者:
[Serena Ditroia]
通讯作者:
Serena Ditroia
DOI:
10.1016/j.apenergy.2020.114589
发表时间:
2020-03
期刊:
Applied Energy
影响因子:
11.2
作者:
[A. Vecchi;Yongliang Li;P. Mancarella;A. Sciacovelli]
通讯作者:
A. Vecchi;Yongliang Li;P. Mancarella;A. Sciacovelli
MIX-MOXes - Mixed Metal Oxides Energy Stations for zero-carbon thermal energy generation with integrated heat storage
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批准号:EP/X000249/1
-
项目类别:Research Grant
-
资助金额:$32.24万
-
财政年份:2023
-
负责人:Adriano Sciacovelli
-
依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
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批准号:--
-
项目类别:合作创新研究团队
-
资助金额:--
-
批准年份:2024
-
负责人:姚韬
-
依托单位:
供应链管理中的稳健型(Robust)策略分析和稳健型优化(Robust Optimization )方法研究
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批准号:70601028
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项目类别:青年科学基金项目
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资助金额:7.0万元
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批准年份:2006
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负责人:王明征
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依托单位: