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"Bee-Smart" - Powerhive's Smart-Grid Software

"Bee-Smart" - Powerhive's Smart-Grid Software
“Bee-Smart” - Powerhive 的智能电网软件
批准号:
10046053
负责人:
金额:
$105.26万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --

项目摘要

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中文摘要
翻译
在撒哈拉以南非洲,超过6亿人无法获得电力,数百万人连接到不可靠的电网。缺乏能源安全,特别是在非洲较贫穷的地区,导致对生物质燃料和昂贵的柴油发电机和柴油厂的依赖。现代绿色迷你电网(GMG)技术管理可再生能源的不稳定性、需求响应服务,并将稳定、清洁和可持续的电力输送到地方/国家电网系统。然而,成本、灵活性和可靠性是阻碍广泛采用的重大障碍,为小型电网供电的最具成本效益的方法是使用可再生能源,非洲各地广泛使用可再生能源。非洲私营部门小型电网发展的障碍包括政策和监管框架的差距以及缺乏成熟的商业模式[ADBG,2016]。Powerhive的解决方案 ** 利用数据分析和大数据原则的进步,Powerhive将开发一种创新的机器学习解决方案(Bee-Smart),分析能源生产,使用,计量,社区需求,通过智能洞察引擎解决挑战,以低成本为农村社区提供社会和金融红利,最大限度地利用数据,确保最终用户获得低成本,可获得的能源。通过数据优化生产/存储/使用 ** 该项目将帮助GMG供应商优化可再生能源电网,利用基于人工智能的见解和决策,从GMG计量,站点位置,社区,GMG特定区域的农业和商业需求以及其他数据,如天气对GMG能源生产的影响,为当地社区提供多余的发电工作。这些基于人工智能的见解将使GMG能源供应商能够以非高峰、低成本的价格重新定向能源,从而根据自己的需求为社区提供额外的服务。这一创新将帮助能源公司提供低成本能源,优化自己的电网以减少运营支出,并使社区获得更多的能源,同时利用绿色能源生产的间歇性。Powerhive将提供SaaS解决方案,该解决方案将与生产性能源使用硬件捆绑在一起。受益人/利益相关者 ** 该项目的主要受益人将是依赖GMG获得能源的农村社区,这些社区没有连接到国家电网。Bee-Smart将针对GMG生产和能源公司,利用他们自己的计量数据更好地为能源消费者服务并降低运营成本。Powerhive支持全球推进SDG 7,实现清洁能源的可及性。Bee-Smart随后将在整个撒哈拉以南非洲项目后推广。
英文摘要
In Sub-Saharan Africa, over 600million people lack access to electricity and millions are connected to an unreliable grid. Lack of energy security, especially in poorer parts of Africa, leads to reliance on biomass-fuels and expensive diesel-generators and diesel plants. Energy optimisation and redirection are a potential game-changer for widespread adoption of renewable energy.Modern green mini-grid (GMG) technologies manage renewable power intermittency, demand-response services, and dispatch stable, clean, and sustainable power into the local/national grid system. However, cost, flexibility and reliability are significant barriers preventing widespread adoption.The most cost-effective approach for powering mini-grids is to use renewable energy sources, which are widely available across Africa. Barriers to the growth of private sector mini-grids in Africa include gaps in the policy and regulatory framework and the lack of proven business models \[ADBG,2016\].**Powerhive's Solution**Using advancements in data-analytics and Big Data principles, Powerhive will develop an innovative machine-learning solution (Bee-Smart) that analyses energy production, usage, meterage, community needs, to address challenges through smart insight engine providing social and financial dividends at low-cost to rural communities, maximising data to ensure low-cost, accessible energy for end-users.**Optimising Production/Storage/Usage through Data**The project will aid GMG providers to optimise renewable energy grids to make excess power generation work for local communities using AI-based insights and decision-making from GMG meterage, site locations, communities, agricultural and business needs in the specific region of the GMG as well as other data such as weather impacts on GMG energy production. These AI-based insights will give GMG energy suppliers the ability to redirect energy at off-peak, low-cost rates to provide additional services to communities based on their own needs. This innovation will aid energy companies in providing lower-cost energy, optimising their own grids to reduce operational expenditures, and enable increased energy access for communities, while using the intermittent nature of green energy production to their advantage. Powerhive will provide a SaaS solution, which will be bundled with productive energy use hardware.**Beneficiaries/Stakeholders**The main beneficiaries of the project will be rural communities that rely on GMGs for energy, which aren't connected to the national grid. Bee-Smart will be aimed at GMG production and energy companies, using their own meterage data to better serve energy consumers and reduce operating costs. Powerhive supports the global advance on SDG7, enabling access to clean energy. Bee-Smart will subsequently be rolled out across Sub-Saharan Africa post-project.
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  • 项目类别:
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  • 资助金额:
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