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

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。伦敦大学学院布鲁姆斯伯里分校将被用作参考系统。它位于伦敦市中心，是现有大学网络共享基础设施并与城市地区系统持续互动的典型例子。因此，它可以作为一个模型，展示适应整个生态系统的智能能源系统的智能校园的复杂性和好处。具体地说，该项目将确定：i.在英国或欧盟范围内的大学层面实施能效措施所产生的潜在能源需求减少的规模；ii.大学校园系统主要可以在智能校园的背景下使用或调整；将探索通过整合基于建筑能源性能指令(EPBD)建筑智能就绪指标(SRI)的智能，以及由欧洲建筑性能研究所(BPIE)发布的“脱碳能源系统中的智能建筑，为欧洲公民提供实际利益的10条原则”报告，来建议隔离系统和基础设施的连接。其目的将是加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增效，使两者受益；3.整合低碳能源技术和信通技术解决方案所需的措施，以从单一部门转向多向量的智能能源系统，以提供低碳能源和智能校园--包括能效措施、可再生能源整合、能源和热储存、需求灵活性；5.如何将拟议的框架应用于大学校园参考系统，以建立一个反馈循环，以重新评估框架，并对框架的方法提出可能的改变；在校园和社区范围内的经济、社会和道德影响，以支持采用该框架的商业案例；向利益攸关方以及决策和政策制定者传播结果。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)和系统建模工具对伦敦大学学院校园参考系统的适用性。此外，还将根据选定的分析方法核对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、房地产管理参与以及确定与伦敦大学学院有关的先前相关研究。为了简化整个流程，将制定适当的数据管理计划。UCL建筑存量将基于之前的研究结果和现有校园模型进行建模，旨在评估校园的智能就绪情况和整合智能能源网络的潜力。根据这项评估的结果，将为智能能源系统的集成提出相关的适应措施。然后，将使用旨在测试和量化采用这些措施的影响的能源系统模型来测试拟议的措施。建模结果将为该框架的发展增加证据基础。一个高质量的项目将为大学校园智能能源系统的评估和集成提供一个新的框架。这些最终可以成为推动整个商业建筑行业和城市规模创新的领跑者。

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.