NetworkPlus - A green, connected and prosperous Britain
NetworkPlus - A green, connected and prosperous Britain
批准号:
EP/W034204/1
负责人:
Sandra Dudley-McEvoy
金额:
$139.64万
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --
中文摘要
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英文摘要
The impending rollout of 5G offers significant opportunity to reassess how to build, operate and manage networks in a smart, strategic way providing connectivity and mobility equity across the UK. For example, implementing radio energy saving solutions by leveraging energy-saving software, operators can reduce radio equipment energy consumption by up to 15% with smart algorithms in the equipment sending parts of the system to sleep when not in use. When added with other telco strategies and renewable energy systems, such as locally placed microgrids this offers amazing potential for zero-carbon connectivity egress.The greatest potential for the mobile sector is to help other sectors evolve (with end user demand and mobility) reduce their carbon emissions through digitisation and "smartisation," key enablers for low carbon connected digital infrastructure. Research has shown this enables carbon reductions in other sectors that are 10 times larger, equivalent to approximately 4% of global emissions. These reductions are from two mobile telecommunications technologies: (1) Smartphone users and (2) Smart connected IoT devices. Based upon current projections for the increase in smartphone users and the rise in smart connected IoT devices, the impact of such an enablement could double by 2025. However, this requires cross-sector innovation and investment to accelerate digital transformation to support decarbonisation and connectivity, particularly at the demand side.The energy sector is a powerful example of the benefits from greater integration with communication. Most electricity grids are heavily centralised, comprising many large-scale energy-generation facilities, often analogue-controlled, and with facilities brought online manually at times of peak demand. Achieving net-zero requires widespread renewable energy use, which will be decentralised, buildings (and users) are no longer just consumers of energy, but also producers - referred to as prosumers. Prosumers must proactively manage the supply of, and demand for, energy. Renewable energy may be reliable and predictable but is inherently intermittent. This will need to be managed with battery storage and by smoothing the energy demand curve. Central to this will be mobile connectivity, along with cloud services and application platforms to create smart energy systems. Research hitherto states that smart energy systems could prevent overbuild of capacity worth 16,000-terawatt hours of annual generation which, based on today's electricity prices, could save $1.9 trillion per year by 2050.More importantly, compared to today's energy mix, this could save 7.7 billion tons of CO2 emissions, equivalent to more than 23 per cent of global decarbonisation. State of the art in this area has delivered models separately integrating telecommunications and carbon emissions; energy systems and mobility; carbon and energy systems; and user behaviour and mobility. However, a top-level model integrating this has yet to be achieved. The value proposition generated from this network is for a massively integrated urban-rural model, comprising real-time applications for enriching sparse measurement data through the application of digital-twins informed by real data; scenario simulation appropriate to validate and refine policy for future energy, telecoms, mobility and carbon systems; benchmarking of digital communications and net-zero innovations at the pilot study stage. This project builds a research network of international significance, tasked with developing such a model, promoting its existence and applications to a diverse audience, incubating and accelerating innovations, and establishing itself as a sustainable ongoing working group. Surrounding this will be a focus on the training and skills needs across sectors to ensure a reliant and buoyant jobs market, populated with appropriately skilled and ready to work staff from across the UK in preparation for rising labour demands.
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
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Cost-effective and Resilient Operation of Distribution Grids and 5G Telecommunication
配电网和 5G 电信的经济高效、弹性运行
DOI:
10.1109/pesgm52003.2023.10252696
发表时间:
2023
期刊:
影响因子:
--
作者:
[Wang J]
通讯作者:
Wang J
Detecting power grid frequency events from µPMU voltage phasor data using machine learning
使用机器学习从 µPMU 电压相量数据检测电网频率事件
DOI:
10.1049/icp.2022.1686
发表时间:
2022
期刊:
影响因子:
--
作者:
[Dey M]
通讯作者:
Dey M
Performance Analysis and Benchmarking of PLL-Driven Phasor Measurement Units for Renewable Energy Systems
可再生能源系统 PLL 驱动相量测量单元的性能分析和基准测试
DOI:
10.3390/en15051867
发表时间:
2022
期刊:
Energies
影响因子:
3.2
作者:
[Ali Z]
通讯作者:
Ali Z
Power Grid Frequency Forecasting from µPMU Data using Hybrid Vector-Output LSTM network
使用混合矢量输出 LSTM 网络根据 µPMU 数据进行电网频率预测
DOI:
10.1109/isgteurope56780.2023.10408056
发表时间:
2023
期刊:
影响因子:
--
作者:
[Dey M]
通讯作者:
Dey M
Energy Management and Analysis Exploiting Existing Building Management Systems Infrastructure and Data
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批准号:EP/M506734/1
-
项目类别:Research Grant
-
资助金额:$26.75万
-
财政年份:2014
-
负责人:Sandra Dudley-McEvoy
-
依托单位:
国内基金
海外基金
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Incentive and governance schenism study of corporate green washing behavior in China: Based on an integiated view of econfiguration of environmental authority and decoupling logic
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批准号:--
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负责人:YU BYUNGJUN
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依托单位:
大豆Stay-Green基因启动子的自然变异调控叶片衰老的分子机制解析及其高产潜能发掘
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项目类别:面上项目
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资助金额:50.00万元
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批准年份:2023
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负责人:徐坤
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船舶水弹性响应的Rankine-Green混合源时域匹配方法研究
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负责人:焦甲龙
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依托单位:
两种生态型羊草不同滞绿(Stay-green)特性的机理研究
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项目类别:--
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资助金额:35万元
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批准年份:2020
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负责人:张林刚
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依托单位:
两类流体模型初边值问题解的长时间渐近行为
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批准号:12001097
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项目类别:青年科学基金项目
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资助金额:24.0万元
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负责人:杜玲珑
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一簇拟量子群的表示及相关问题
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批准号:12071412
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项目类别:面上项目
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批准年份:2020
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负责人:陈惠香
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依托单位:
量子群和张量范畴形变理论中的若干问题
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批准号:11871063
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项目类别:面上项目
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资助金额:53.0万元
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批准年份:2018
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负责人:李立斌
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依托单位:
Fast green FCF对神经炎症诱发的抑郁和认知障碍的作用和机制研究
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批准号:LY19H090004
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项目类别:省市级项目
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资助金额:--
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批准年份:2018
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负责人:陈晓薇
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依托单位:
高阶分数阶拉普拉斯方程解的存在性及相关问题研究
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批准号:11801446
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项目类别:青年科学基金项目
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资助金额:23.0万元
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批准年份:2018
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负责人:于美
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依托单位:
Euler-Poisson方程稳态解及Navier-Stokes-Poisson方程解的结构分析
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批准号:11871012
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项目类别:面上项目
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资助金额:53.0万元
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批准年份:2018
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负责人:张国敬
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依托单位: