Integrated multi-vector smart energy systems at building, campus and neighbourhood scales

建筑、校园和社区规模的集成多矢量智能能源系统

• 批准号: 2233606
• 金额: --
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2233606
• 关键词: Integrated; multi; vector; smart; energy

The overarching aim of this project is to create an evidence based framework for evaluating the potential for integrating Smart Energy Systems at University Campus level within an urban environment. The UCL Bloomsbury campus will be used as a reference system. Its location, within the heart of London, is a characteristic example of an existing University network sharing infrastructure and continuously interacting with an urban district system. Thus, it can be used as a model that can demonstrate the intricacies and benefits of the adaptation to a smart campus with smart energy systems for the entire ecosystem. Specifically, the project will set out to identify: i. The scale of potential energy demand reduction derived from applying energy efficiency measures at a UK or EU wide university level; ii. University campus systems that can be primarily utilised or adapted in the context of the Smart Campus; relationships will be explored to propose connections of segregated systems and infrastructure by integrating intelligence based on the Energy Performance of Buildings Directive (EPBD) Smart Readiness Indicator (SRI) for buildings and the 'Smart buildings in a decarbonised energy system, 10 Principles to Deliver Real Benefits for Europe's Citizens' report by the Buildings Performance Institute Europe (BPIE). The aim will be to enhance typically occurring university learning activities, user experience and management activities as well as to promote synergies with the university's neighbouring activities and users to the benefit of both; iii. The required measures to integrate low-carbon energy technologies and ICT solutions to move from a single-sector to multi-vector smart energy systems for the delivery of low-carbon energy and a smart campus - including energy efficiency measures, renewable energy integration, energy and thermal storage, demand flexibility; iv. How the above can form a framework that can be used as a universal roadmap for the evaluation of university campuses; v. How applying the proposed framework to the reference UCL campus system can create a feedback loop to re-evaluate the framework and propose potential changes to the framework's methodology; vi. The economic, social and ethical impacts at campus and neighbourhood scale to support the business case for the uptake of the framework; vii. Dissemination of outcomes to stakeholders and decision and policy makers.A rapid systematic literature review will be conducted to identify and evaluate the applicability of existing frameworks, benchmarking methodologies (e.g. Display Energy Certificates) and system modelling tools to the reference system of the UCL campus. Alongside this, a register of the required data and information will be collated based on the selected methods of analysis. Available data will be identified, energy reporting tools, estates management engagement and identification of related previous studies concerning the UCL. To streamline the whole process an appropriate data management plan will be created.The UCL building stock will be modelled based on the previous findings and existing campus models aiming to evaluate the campus's smart readiness and potential to integrate smart energy networks. Based on the outcomes of this evaluation, the relevant adaptation measures will be proposed for the integration of smart energy systems.The proposed measures will be then tested using energy systems modelling aiming to test and quantify the impacts of the adoption of such measures. Modelling outcomes will add to the evidence base for the development of the framework.A high-quality project will deliver a novel framework for the evaluation and integration of smart energy systems to university campuses. These can ultimately act as the frontrunner in driving innovation in the whole commercial building sector and the city scale.

该项目的总体目标是创建一个基于证据的框架，用于评估在城市环境中整合大学校园智能能源系统的潜力。UCL Bloomsbury校区将被用作参考系统。它的位置，在伦敦的心脏，是现有的大学网络共享基础设施和不断与市区系统互动的一个典型例子。因此，它可以作为一个模型，可以展示适应智能校园的复杂性和好处，为整个生态系统提供智能能源系统。具体而言，该项目将着手查明：在英国或欧盟范围内的大学水平应用能源效率措施所产生的潜在能源需求减少规模; ii.可以主要在智能校园环境中使用或调整的大学校园系统;将探索各种关系，通过整合基于建筑物能效指令（EPBD）智能准备指标（SRI）的智能，提出隔离系统和基础设施的连接，以及“脱碳能源系统中的智能建筑”，为欧洲公民提供真实的利益的10项原则，由欧洲建筑性能研究所（BPIE）编写。其目的是增强通常发生的大学学习活动、用户体验和管理活动，并促进与大学邻近活动和用户的协同作用，以使双方受益; iii.整合低碳能源技术和信通技术解决方案所需的措施，从单一部门转向多矢量智能能源系统，以提供低碳能源和智能校园，包括能源效率措施、可再生能源整合、能源和热储存、需求灵活性;如何上述可以形成一个框架，可以作为一个通用的路线图，用于大学校园的评估; v.如何应用所提出的框架，以参考伦敦大学学院校园系统可以创建一个反馈回路，重新评估框架，并提出潜在的变化框架的方法; vi.在校园和社区规模的经济，社会和道德影响，以支持商业案例的框架的吸收; vii.向利益相关者和决策者传播成果。将进行快速系统的文献审查，以确定和评估现有框架，基准方法（例如显示能源证书）和系统建模工具对UCL校园参考系统的适用性。除此之外，还将根据选定的分析方法整理所需数据和信息的登记册。将确定可用的数据，能源报告工具，房地产管理参与和确定有关UCL的相关先前研究。为了简化整个过程，将制定适当的数据管理计划。UCL建筑群将根据以前的研究结果和现有的校园模型进行建模，旨在评估校园的智能就绪性和整合智能能源网络的潜力。根据评估结果，将为智能能源系统的整合提出相关的适应措施，然后使用能源系统模型对拟议措施进行测试，以测试和量化采取这些措施的影响。建模结果将为框架的开发提供证据基础。一个高质量的项目将为智能能源系统的评估和整合提供一个新的框架。这些最终可以成为推动整个商业建筑领域和城市规模创新的领跑者。