ALPINE NEWSLETTER. INSIDE CitySUMs INDICATE CI-NERGY FASUDIR FORTISSIMO iurban MIRIAM Glasgow TSB Future Cities

Transcription

1 ALPINE INSIDE CitySUMs INDICATE CI-NERGY FASUDIR FORTISSIMO iurban MIRIAM Glasgow TSB Future Cities

2 Contents IES & SMART CITIES 3 CITYSUMS 4 INDICATE 5 FASUDIR 7 FORTISSIMO 9 iurban 10 CI-NERGY 11 MIRIAM 12 GLASGOW TSB FUTURE CITIES 13

3 IES Masterplanning & Smart Cities IES is currently working on a range of projects related to masterplanning and smart city development. The aim is to bring design, operation and the smart city together, by creating decision support tools for city architects and urban planners with respect to how to holistically design their city, and its subsystems, at any stage of the cities life. This includes tools to inform urban development plans, tools to inform and incentivise the integration of Renewable Energy Technologies and ICT and Control Technologies, and tools to optimise an existing cities systems and networks. This will take into account buildings, water, waste, transport, electricity grid, and a range of sustainable metrics. Our R&D team is also investigating the interactions between a portfolio of buildings, the electricity grid and renewable energy technologies. This includes taking real-time data from the city via smart meters and other installed systems and creating a realtime city model of its operating systems. Demand response and tariff analysis are included to optimise the interactions and connections of buildings at district level. KEY POINTS Decision Making Tools for City Architects and Urban Planners 3D Visual City Simulation Tools Sustainable Urban Indicators for Energy Related Decision Making Connections with Simulation and Geographical Information & City Databases Whole Life Neighbourhood Analysis Simulation of Portfolio of Buildings across a city District modelling and simulation Modelling the connections between Buildings, the Electricity Grid and Renewable Technologies Demand Response Analysis and Tariff Analysis Simulation of Water & Waste Networks Simulation of Transport Network and the EV Grid 3

4 CitySUMs City Sustainable Urban Metrics CitySUMs will integrate the IES Virtual Environment simulation software, with the well-known SketchUp 3D drawing tool; this will be integrated with a set of Sustainable Urban Metrics (SUMs) and tools to assess resource availability within the city. The aim is that groups of buildings can be designed simultaneously, integrated with existing land-uses, and sustainable solutions can be generated for the user along with metrics to understand the implication of these solutions. The tool will have a very simple interface and the toolbar designed to work without recourse to a navigator. Thirteen Step Process 1. Select region/area with Geo-Location tool 2. Toggle terrain on/off 3. Import Open Street Map file 4. Toggle visibility with Layer tool 5. Draw buildings with Draw line tool 6. Drawing buildings with Draw rectangle tool 7. Draw existing buildings with Create tool 8. Turn existing volumetric geometry into objects with the Manual Find Rooms tool 9. View and edit properties of objects with the Room Query/Building Query tool 10. Copy Properties from one object to another with the Data Painter Tool 11. Apply the Renewables Retrofit option 12. Colour the model with the Visualisation tool 13. View metrics with Dashboard feature 4

5 INDICATE Indicator-based Interactive Decision Support and Information Exchange Platform for Smart Cities Through the development of an interactive cloud-based tool, which will provide a dynamic assessment of the interactions between buildings, the electricity grid, the Electric Vehicle (EV) grid and Renewable and ICT technologies, the INDICATE project will support decision makers and other stakeholders towards transforming their cities to a Smart City. Deliverables within the next 12 months Characterisation of the City (April 14) Report on how we can quantify energy efficiency within a city (Mar 14) Dynamic Simulation Model of the City (CitySUMS Phase 2) (Jun 14) Agreement on Virtual City Model Architecture (Sep 14) Templates for Building Typologies (Sep 14) 5

6 INDICATE (continued) Indicator-based Interactive Decision Support and Information Exchange Platform for Smart Cities The creation of the SMART CITY PLAN: Urban Design City Planning Energy & Buildings Renewable Resources REDUCE: Urban Heat Island Effect Energy Consumption Carbon Emissions Fossil Fuel Demands Technological Outcome > Link with GIS and other Real City Data > The DSM Environment as part of the city > Analysis Methodology for Evaluation & Quantification of a Cities Energy Use > Development of Sustainable Urban Indicators > The Application of Indicators for Standardisation > The Application of Indicators for cross-european application > Web Based Graphical User Interface (GUI) for Masterplanning > The Virtual City Model (VCM) for City Characterisation and Assessment INTEGRATE: District Heating & Cooling Centralised/Decentralised RETs Smart Technologies Project Timeline JUL JAN JUL JAN JUL JAN JUL OPTIMISE: Existing Systems Energy Demands Energy Efficiency City Architects/ Planner Early stage of the development Private Planning Firms Used at any stage of the development When city already has smart grid & renewable energy technologies (RETs) installed Aimed at: Public & Business Community ICT & RET Suppliers 6

7 FASUDIR Friendly and Affordable Sustainable Urban District Retrofitting FASUDIR will develop an Integrated Decision Support Tool (IDST), using new software supported methodology, which can evaluate the retrofitting needs of a whole urban district. The installation of district scale systems makes it easier to include more sustainable energy management strategies such as: > Exploitation of the synergies between buildings > Exploitation of wasted energy > Installation of RETs > Installation of cogeneration systems Definition of the framework (districts characterization, identification of KPIs) Development of a repository of technologies and best practices Deliverables within the next 12 months European urban districts analysis (Nov. 2013) EU context for the building energy retrofitting at district scale (Nov. 2013) Development of a methodology for decision making on buildings energy retrofitting from a sustainable district perspective IDST Key Performance Indicators (May 2014) Best practices on energy retrofitting a district scale (Feb. 2014) Technologies and systems for sustainable building/district retrofitting (Aug. 2014) Development of the software platform supporting the methodology (IDST tool) IDST user requirements (May 2014) External resources integration (Aug. 2014) Communication pack (Nov. 2013) Project website (Nov. 2013) First version of the Dissemination Plan (Feb.2014) Validation in 3 European districts (Santiago de Compostela, Budapest, Frankfurt) 7

8 FASUDIR (continued) Friendly and Affordable Sustainable Urban District Retrofitting Project Timeline Urban Manager Owners Investors Stakeholders Include Grant Managers Building Solution Providers 8

9 FORTISSIMO Factories of the Future Resources, Technology, Infrastructure and Services for Simulation and Modelling The principal objective of Fortissimo is to enable European manufacturing, particularly small to medium enterprises (SMEs), to benefit from the efficiency and competitive advantage inherent in the use of simulation. Generally, large companies, which have a greater pool of skills and resources, find access to advanced simulation easier than SMEs which can neither afford expensive High Performance Computing equipment nor the licensing cost for the relevant tools. FORTISSIMO will overcome this impasse by providing simulation software on cloud infrastructure on a pay-per-use system. Project Timeline End Users experiments relevant to the competitiveness of their business Independent Software Vendors Stakeholders Include High Performance Computing Experts Simulation Software Providers 9

10 iurban Intelligent Urban Energy Tool The objective of iurban is to develop and validate an intelligent URBAn energy tool based on a smart Decision Support System (smartdss) to efficiently manage and distribute at a city level the energy produced and consumed at a local level, incorporating behavioural aspects of the users. Deliverables within the next 12 months Reference operational scenarios (Jan. 2014) Requirements for the ICT infrastructure (May 2014) Architecture, database and data acquisition (June 2014) Roles and Relationships for Each Pilot Scenario (July 2014) Key indicators and pilot definition (March 2014) Interim pilot validation (Sept. 2014) Dissemination Plan (Sept. 2014) Engagement initiatives (Jan. 2014) Development of a business model framework based on the concept of dynamic value networks of actors Development of a Smart City database network to obtain real-time data from energy consumptions and productions in different end points of the city Development of Data Models to forecast shortterm energy consumptions and productions Development of a smart DSS to optimize the energy distribution in cities, prevent or reduce critical peak situations and involve to all the participants in the energy market Validation in two European cities (Rijeka, Croatia and Plovdiv, Bulgaria) 10

11 CI-NERGY Smart Cities with Sustainable Energy systems CI-NERGY is a multidisciplinary coordinated PhD programme aims to train young scientists to develop urban decision making and operational optimisation software tools to minimise non-renewable energy use in cities. Principle Objectives > Providing high-level integrated trainings to PhDs and Research Fellows (ERs) covering building physics, energy supply technologies, software engineering and information technology; > Developing concepts, modelling and decision-making tools for highly energy efficient cities based on PhD & ER research. > Implementing and testing all solutions to two pilot cities: Geneva and Vienna. IES Role (allocated 1 PhD) Extend the scope of building simulation model to the urban simulation model, by upgrading IES <VE> software to the urban scale. Integrate the software solutions with other tools developed by the network partners. Develop a quasi-automated model calibration methodology for the urban simulation models. Calibrate the city models with case study data to demonstrate fitness for purpose. 11

12 MIRIAM Neighbourhood Manager and City Information Model MIRIAM is an interoperable Neighbourhood Manager and City Information Model which gathers both Real-Time Information (RTI) and Building Specific Information in a city to analyse and understand both power and heat data at macro-scale. All data is collected via a user friendly web portal, whether it is RTI to be updated at regular time intervals or manual data that is entered once. Where possible, real data is used to show real measured energy use in the city and where real data is not available, simulated data is generated via the building specific information. All data is stored via an interoperable City Information Model (CIM) server. The filtered data is viewed via an online portal as 3D model geometry, 2D interactive maps or raw data. This is used to understand energy usage and flows in the city and the amount and type of data available will determine if one or all views can be utilised. The data from the CIM server is also exported to a Neighbourhood Manager (NM), which characterises the city in terms of power and heat. Technological Outcomes > Feasibility report on the development of the MIRIAM concept which will act as the phase 2 submission > Mock-up of the potential user interface and paper prototype > Specification of the CIM database and sample prototype > Specification of the Neighbourhood Manager and sample prototype > Small scale dem tion using Craighall buildings Deliverables within the next 12 months Feasibility report on how we will deliver the project Application for Phase 2 Small scale prototype and demonstration 12

13 Glasgow TSB Future Cities This project will develop an APP for building and home owners in Glasgow to understand their energy use, examine simple Energy Conservation Measures to help them reduce their consumption and provide them with potential retrofit solutions that will be applicable to their buildings. Deliverables within the next 12 months 4f 4e Technological Outcomes > Development of database (could be spatial) to host information from the user and the <VE> results > The capability to perform Apache Simulation via a remote server > A 2D web app for energy retrofit > A 3D web portal for the display of the results > A KPI methodology to analyse the results > A pre-defined list of ECM s specified to building typologies > Energy retrofit solution dataset > A pre-defined list of master templates specific to building typologies 4 3c 3e 2 3d 4c 1c 4d 3f 6 1b 3b 5a 3g b 4a 5a 1a 3a 4b 13