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
即将推出的5G提供了重要的机会,可以重新评估如何以智能,战略性的方式构建,运营和管理网络,在英国提供连接和移动性。例如,通过利用节能软件实施无线电节能解决方案,运营商可以通过设备中的智能算法将无线电设备的能耗降低高达15%,从而在不使用时将系统的部分发送到睡眠状态。当与其他电信战略和可再生能源系统(如本地微电网)相结合时,这为零碳连接出口提供了惊人的潜力。移动的行业的最大潜力是帮助其他行业(随着最终用户需求和移动性)通过数字化和“智能化”减少碳排放,这是低碳连接数字基础设施的关键推动因素。研究表明,这使得其他行业的碳减排量增加了10倍,相当于全球排放量的约4%。这些减少来自两种移动的电信技术:(1)智能手机用户和(2)智能连接的物联网设备。根据目前对智能手机用户增加和智能连接物联网设备增加的预测,到2025年,这种支持的影响可能会翻一番。然而,这需要跨行业的创新和投资来加速数字化转型,以支持脱碳和互联互通,特别是在需求侧。能源行业是一个强有力的例子,说明了与通信更大程度的融合所带来的好处。大多数电网高度集中,包括许多大型发电设施,通常是模拟控制的,并在需求高峰时手动上网。实现净零需要广泛的可再生能源使用,这将是分散的,建筑物(和用户)不再只是能源的消费者,也是生产者-被称为产消者。生产者必须积极主动地管理能源的供应和需求。可再生能源可能是可靠和可预测的,但本质上是间歇性的。这需要通过电池存储和平滑能源需求曲线来管理。其核心将是移动的连接,沿着云服务和应用平台,以创建智能能源系统。迄今为止的研究表明,智能能源系统可以防止每年发电量16,000太瓦时的产能过剩,根据今天的电价,到2050年每年可以节省1.9万亿美元。更重要的是,与今天的能源结构相比,这可以节省77亿吨二氧化碳排放量,相当于全球脱碳量的23%以上。这一领域的最新技术已经提供了分别整合电信和碳排放、能源系统和流动性、碳和能源系统以及用户行为和流动性的模型。然而,一个整合这一点的顶级模型尚未实现。该网络产生的价值主张是建立一个大规模一体化的城乡模式,包括通过应用由真实的数据提供信息的数字孪生模型来丰富稀疏测量数据的实时应用;适用于验证和完善未来能源、电信、移动和碳系统政策的情景模拟;在试点研究阶段对数字通信和净零创新进行基准测试。该项目建立了一个具有国际意义的研究网络,其任务是开发这样一个模型,向不同的受众推广其存在和应用,孵化和加速创新,并将自己建立为一个可持续的持续工作组。围绕这一点,将重点关注各部门的培训和技能需求,以确保就业市场的可靠性和活跃性,并配备来自英国各地的适当技能和准备工作的员工,为不断增长的劳动力需求做好准备。
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)
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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
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项目类别:Research Grant
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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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