Transforming Utilities' Conversion Points

转变公用事业公司的转换点

• 批准号: EP/J005649/1
• 负责人: Liz Varga
• 金额: $ 39.47万
• 依托单位: CRANFIELD UNIVERSITY
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2011
• 资助国家: 英国
• 起止时间: 2011 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FJ005649%2F1
• 关键词: Transforming; Utilities; Conversion; Points

This project looks across utilities at interdependencies and efficiencies of infrastructure at points of energy conversion. The hypothesis is that changes to these conversion points are critical to systemic sustainability and adaptability. But very few attempts have been made to consider how integrating or rebalancing (using less or more of) particular conversion points could make significant improvements to sustainability and adaptability of the system overall. This needs to be researched in the context of the user and the environment. The outcome of the current single utility approach is that power, water, transport etc are integrated at the point of use to create services demanded by end users. Services that help to shape sustainable behaviour are critical to the development of the infrastructure itself. The project will make use of existing research, such as that for energy use in the home, in order to ground our understanding of utility services needs. A fundamentally important aspect of national infrastructure is its technological context. Older infrastructure was built with a mechanical focus during a Taylorist machine paradigm. The global information (and network) age is upon us, with diverse opportunities in nanotechnology, hydrogen, battery storage, etc. In particular the ability to transmit information about utility operation and demand using telecommunications has been applied successfully to improve individual utility efficiency. The project will identify the latest relevant technologies and upcoming inventions and trends so that it frames proposals for change to the national utilities infrastructure in the current/future technological paradigm. Our methodology to deliver this research this is to1. Create a map of current conversion points and so identify the critical parts of the national infrastructure, volumes, network structures, institution types, regulators, and so on. 2. Create a base-line agent based model to demonstrate the sustainability and adaptability of the current national utilities infrastructure, focusing on efficiency losses and resilience issues at conversion points. A system as large as the national infrastructure cannot be readily experimented upon and so modeling is one of few appropriate methods which have a successful track record adding insights not discernable by other methods since they are better at reflecting real world systems. The model will incorporate environmental factors, such as diminishing fossil fuels, services focus and adoption of appropriate technology, and so combine existing research. All aspects of the model will be guided by the expert knowledge of the team.3. Run a workshop bringing together representatives from all utilities, including regulators, policy makers, major and minor firms, scientists and technologists, allowing expert opinions to be debated. The key outcome is a prioritized list of future scenarios which are service focused and in the context of technological possibilities. 4. The base-line model will be developed to include the future scenarios. The most favourable scenario (or two) which generates the greatest improvement in efficiency and resilience of the system, will be further developed to create a convincing quantified case for transforming utility conversion points. There will be an analysis over time of the changes to efficiencies as a result of the transformations, which will enable a business case to be developed and incorporate changes needed to existing legislation, regulation and policy. 5. A second workshop will review the results of futures model, allowing stakeholders to verify and challenge the results, and to plan for changes using the demonstrable recommendations for improvement to sustainability and adaptability. This project is complementary to other projects awarded funding in the Assets Sandpit, aligning with a services, integrated, technological and simplified view of national infrastructure.

该项目着眼于各个公用事业公司在能源转换点上的相互依赖性和基础设施的效率。假设这些转换点的变化对于系统的可持续性和适应性至关重要。但很少有人尝试考虑整合或重新平衡（使用更少或更多）特定转换点如何能够显着改善整个系统的可持续性和适应性。这需要在用户和环境的背景下进行研究。当前单一公用事业方法的结果是，电力、水、运输等在使用点进行整合，以创建最终用户所需的服务。有助于塑造可持续行为的服务对于基础设施本身的发展至关重要。该项目将利用现有的研究，例如家庭能源使用的研究，以加深我们对公用事业服务需求的理解。国家基础设施的一个根本重要方面是其技术背景。较旧的基础设施是在泰勒主义机器范式期间以机械为重点建造的。全球信息（和网络）时代即将来临，纳米技术、氢能、电池存储等领域面临着各种各样的机遇。特别是使用电信传输有关公用事业运营和需求信息的能力已成功应用于提高个人公用事业效率。该项目将确定最新的相关技术以及即将到来的发明和趋势，以便制定当前/未来技术范式中国家公用事业基础设施变革的建议。我们开展这项研究的方法是：1。创建当前转换点的地图，从而确定国家基础设施、容量、网络结构、机构类型、监管机构等的关键部分。 2. 创建基于代理的基线模型，以展示当前国家公用事业基础设施的可持续性和适应性，重点关注转换点的效率损失和弹性问题。像国家基础设施这样大的系统无法轻易进行实验，因此建模是少数几种具有成功记录的适当方法之一，它增加了其他方法无法辨别的见解，因为它们更能反映现实世界的系统。该模型将纳入环境因素，例如化石燃料的减少、服务重点和适当技术的采用，从而结合现有的研究。模型的各个方面都将由团队的专业知识指导。3．举办一个研讨会，汇集所有公用事业公司的代表，包括监管机构、政策制定者、大小公司、科学家和技术专家，对专家意见进行辩论。关键成果是未来场景的优先级列表，这些场景以服务为中心并在技术可能性的背景下。 4. 将开发基线模型以包含未来的情景。将进一步开发最有利的场景（或两个场景），以最大程度地提高系统的效率和弹性，以创建令人信服的量化案例来转换公用事业转换点。随着时间的推移，将对转型带来的效率变化进行分析，这将有助于制定业务案例，并将现有立法、法规和政策所需的变化纳入其中。 5. 第二次研讨会将审查未来模型的结果，让利益相关者验证和质疑结果，并使用可证明的建议来规划变革，以改进可持续性和适应性。该项目是对资产沙坑中获得资助的其他项目的补充，符合国家基础设施的服务、集成、技术和简化观点。

项目成果

Signal coordination scheme based on traffic emission

基于交通排放的信号协调方案

• DOI: 10.1049/iet-its.2014.0255
• 发表时间: 2016-03
• 期刊: IET Intelligent Transport Systems
• 影响因子: 2.7
• 作者: Ji Yanjie;Hu Bo;Hill Graeme;Guo Weihong;Blythe Phil;Gao Liangpeng
• 通讯作者: Gao Liangpeng

A probabilistic approach to combining smart meter and electric vehicle charging data to investigate distribution network impacts

• DOI: 10.1016/j.apenergy.2015.01.144
• 发表时间: 2015-11
• 期刊: Applied Energy
• 影响因子: 11.2
• 作者: M. Neaimeh;R. Wardle;Andrew M. Jenkins;Jialiang Yi;G. Hill;Padraig F. Lyons;Y. Huebner;Phil T. Blythe-P

Agent based modeling of energy networks

• DOI: 10.1016/j.enconman.2014.03.018
• 发表时间: 2014-06
• 期刊: Energy Conversion and Management
• 影响因子: 10.4
• 作者: J. G. D. Durana;O. Barambones;E. Kremers;L. Varga

Agent-based modeling of the energy network for hybrid cars

• DOI: 10.1016/j.enconman.2015.04.003
• 发表时间: 2015-07
• 期刊: Energy Conversion and Management
• 影响因子: 10.4
• 作者: J. G. D. Durana;O. Barambones;E. Kremers;L. Varga

Energy and complexity: New ways forward

• DOI: 10.1016/j.apenergy.2014.10.057
• 发表时间: 2015-01-15
• 期刊: APPLIED ENERGY
• 影响因子: 11.2
• 作者: Bale, Catherine S. E.;Varga, Liz;Foxon, Timothy J.
• 通讯作者: Foxon, Timothy J.