Towards Zero Carbon Buildings: An Ai-Based Pay as You Decarbonise (Ai-PaYD) Business Model for Residential Customers
迈向零碳建筑:面向住宅客户的基于人工智能的脱碳付费 (Ai-PaYD) 商业模式
基本信息
- 批准号:10046650
- 负责人:
- 金额:$ 6.37万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Grant for R&D
- 财政年份:2022
- 资助国家:英国
- 起止时间:2022 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Ai-PaYD is an innovative first of a kind (FOAK) solution and a multifaceted AI-based software application that is designed to assist vulnerable residents (elderly, disabled, single parents etc.) who are homeowners' in seamlessly interacting with financial underwriters and innovative SMEs/retrofitters to access capital needed to achieve (near) zero-carbon status for their homes over a timeline. Ai-PaYD actualises guaranteed emissions and energy costs reduction through retrofitting of vulnerable \[persons\] households by indexing the retrofitting loan repayment to accruable emissions and energy costs reductions over a timeline. Ai-PaYD operationalises emissions and energy cost reduction as a reward tool (potentially through certified carbon credits) for SMEs and financial institutions by incentivising innovative approaches to: (1) decarbonise housing stocks (especially for vulnerable persons), and (2) improve their energy efficiency while benchmarking the contribution of their services/activities to the overall goals of emissions/energy costs reductions and 2050 Net-Zero targets.Ai-Pay as you decarbonise (Ai-PaYD) is an innovative program that leverages low-cost and sustainable financing in providing vulnerable households with patient capital to undertake energy and emissions reduction retrofitting actions with loan repayment tied to the potential savings accrued. Ai-PayD indexes loan repayment with potential savings accrued (capped at a reasonable ceiling) ensuring that vulnerable households do not get to exceed a fixed portion of their household income in meeting their loan obligations. Ai-PaYD thus disincentivises potential waste of financing by ensuring that participating retrofitters undertake actions that can result in significant reductions and offset their costs over a reasonable timeline. In undertaking Ai-PaYD, three assumptions are made. First, that energy prices will in the medium to long-term continue to increase. Second, that transition related policies by government will result in emissions related surcharges for households to encourage uptake of low-carbon initiatives, and third, that the rate of increase of these emissions related penalties will outpace the rate of increase of energy increment.Particularly, Ai-PaYD is focused on vulnerable persons who own their houses and will investigate the maximum emissions reduction that can be achieved from different households which would inform retrofitting activities.
Ai-PaYD是一个创新的首个(FOAK)解决方案和多方面的基于AI的软件应用程序,旨在帮助弱势居民(老年人,残疾人,单亲父母等)。业主与金融承销商和创新型中小企业/改造商无缝互动,以获得在时间轴内实现(接近)零碳状态所需的资金。“青年行动资助计划”通过对弱势家庭进行改造,将改造贷款偿还额与时间轴内的应计排放量和能源成本降低额挂钩,从而实现有保证的排放量和能源成本降低。Ai-PaYD将减少排放和能源成本作为奖励工具(可能通过经认证的碳信用额),鼓励创新办法,以便:(1)减少住房存量的碳化(特别是对弱势群体),以及(2)提高能源效率,同时衡量其服务/活动对减少排放/能源成本和2050年净排放的总体目标的贡献。零目标。Ai-Pay as you decarbonise(Ai-PaYD)是一项创新计划,利用低成本和可持续的融资,为弱势家庭提供耐心资本,以开展能源和减排改造行动,并将贷款偿还与潜在的储蓄挂钩。Ai-PayD将贷款偿还与潜在的储蓄(以合理的上限为上限)挂钩,确保弱势家庭在履行贷款义务时不会超过家庭收入的固定部分。因此,通过确保参与的改造者采取行动,可以在合理的时间轴内大幅减少并抵消其成本,Ai-PaYD消除了潜在的资金浪费。在推行“自付青少年津贴计划”时,我们有三个假设。第一,能源价格将在中长期继续上涨。第二,政府的转型相关政策将导致对家庭征收与排放相关的附加费,以鼓励采取低碳举措,第三,这些与排放相关的罚款的增长率将超过能源增量的增长率。哎-该项目的重点是拥有住房的弱势群体,并将调查不同家庭可实现的最大减排量这将为改造活动提供信息。
项目成果
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其他文献
吉治仁志 他: "トランスジェニックマウスによるTIMP-1の線維化促進機序"最新医学. 55. 1781-1787 (2000)
Hitoshi Yoshiji 等:“转基因小鼠中 TIMP-1 的促纤维化机制”现代医学 55. 1781-1787 (2000)。
- DOI:
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LiDAR Implementations for Autonomous Vehicle Applications
- DOI:
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2021 - 期刊:
- 影响因子:0
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吉治仁志 他: "イラスト医学&サイエンスシリーズ血管の分子医学"羊土社(渋谷正史編). 125 (2000)
Hitoshi Yoshiji 等人:“血管医学与科学系列分子医学图解”Yodosha(涉谷正志编辑)125(2000)。
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Effect of manidipine hydrochloride,a calcium antagonist,on isoproterenol-induced left ventricular hypertrophy: "Yoshiyama,M.,Takeuchi,K.,Kim,S.,Hanatani,A.,Omura,T.,Toda,I.,Akioka,K.,Teragaki,M.,Iwao,H.and Yoshikawa,J." Jpn Circ J. 62(1). 47-52 (1998)
钙拮抗剂盐酸马尼地平对异丙肾上腺素引起的左心室肥厚的影响:“Yoshiyama,M.,Takeuchi,K.,Kim,S.,Hanatani,A.,Omura,T.,Toda,I.,Akioka,
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