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Data Centric Approaches for Eco-efficiency Emre Yöntem İzmir, 27.09.2017
Data Centric Approaches for Eco-efficiency
Emre Yöntem İzmir, 27.09.2017
Fields of Activity
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Celebrating its 21th year, Ekodenge delivers
innovative solutions and services at industrial and urban domains for taking
a leading role in designing sustainable
futures.
Industrial Sustainability Services
Sustainable Cities and Districts
Sustainable Architecture
Risk Engineering
Information Technologies and Digital Platforms
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Clustering Project Recently Started on Power Plant Rehabilitation and Clean Technology Initiatives Budget: 24.826.800 TL Funding Rate: %50 Duration: 5 Years
• OSTIM CleanTech Cluster
• 68 member companies, 11 universities, 9 public institutions and 10 non-governmental organizations in cooperation
Industry 4.0
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• New generation of solutions for industrialisation, manufacturing and smarter societies
• Utilising Cyber Physical Systems
• Main objectives:
– Efficiency
– Growth
– Investment
– Jobs
Industry 4.0
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Integrated, data centric networking of people, objects & systems
Industry 4.0
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• 9 Technological Drivers that trigger Industry 4.0
• All are directly related with data management, decision support and autonomous systems
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Hey Siri,
Hey Emre,
When are the robots taking over the world?
Not just yet...
Good...
Why data is key?
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• Static systems Dynamic complex systems
• Continuous data flow
• Storage and management of big data
• Dynamic data Processing
• Dynamic and autonomous decision making
Benefits
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• Wider, holistic assessement capabilities
– Symbiosis
– Horizontal value networks
– Replication solutions easier
• Multi dimensional analyses: Analysing multiple parameters
– Resources
– Costs
– Impacts
– Risks
Benefits
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• Develop/simulate scenarios using the data
– Design, testing and Benchmariking of bigger scale solutions
– Using simulation capabilities for decision making • Building/city energy simulations
• Industrial flow analyses
• Social analyses
Benefits
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• Shifting to interoperable, cloud based data analytics – Manage bigger data
– Better security and reliability
– Less resources for finance needed for systems
– Need new data ? Plug and play, Connect to external data services, IoT sensors/gateways
• Readiness for the future tasks: – Machine learning
– Artificial intelligence
Products
EPESUS is a powerful tool for environmental and economic sustainability assessment with real time and spatial big data analysis capabilities.
Industry
Industrial Sustainability Services
EPESUS Industry: - Process modeling - Cleaner production strategies - Network analysis through industrial ecology metrics - Sustainability assessment for resource and energy efficiency
EPESUS City: - Modelling of urban flows based on urban metabolism concept - Geographical information system (GIS) based analysis and visualization capabilities - supports informed decision making at district or city level.
City
Sustainable Cities and Districts
Nature Based Solutions for re-naturing cities: knowledge diffusion and decision support platform through new collaborative models GA # 730468
Source: https://www.iucn.org/commissions/commission-ecosystem-management/our-work/nature-based-solutions
Sustainable Cities and Districts Cities Flagship Projects
Models and analyses urban nexus (materials, energy and cost) based on urban metabolism concept
Analyses sustainability actions (e.g. nature based solutions and energy efficiency measures)
Key Data Science Technologies: • Energy Simulation • Climate Change & Impacts
Simulation • Behavioural Analytics - Agent Based
Simulation
Supports Sustainable Energy and Climate Action Plans (SECAP)
Ekodenge provides a detailed building GHG emission assessment using EPESUS Cities involving GHG emission prediction methodology based on different building types, GIS visualization and LCA capabilities.
Sustainable Cities and Districts Cities SECAPs
Key Data Science Technologies: • Energy Simulations • IoT Connectivity
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Annual CO2 Emissions in 2030 & CO2 Emission Densities in 2012, 2020 & 2030
Total CO2 emissions (tCO2/year) CO2 Emissions (kgCO2/m2/year) CO2 Emissions (kgCO2/m2/year) CO2 Emissions (kgCO2/m2/year)
Sustainable Cities and Districts Cities SECAPs
Flagship Project: Cezeri Green Technology Vocational High School Sustainable Architecture
Promoting Energy Efficiency in Buildings in Turkey Project Cezeri Green Technology Vocational High School
Leadership of an international green design consortium
The design of two DEMO Buildings through the Integrated Building Design approach
Energy efficiency analyses
Tender preparation for a green public building within Turkish legislation
Building LCA and LCC
Key Data Science Technologies: • Simulation for design decisions • Data analytics for continuous operational decisions
Data management hardware and software infrastructure and online monitoring and decision support service for energy management in buildings and campuses
Delivery of an energy management software platform for real-time energy optimization in buildings
Development of energy optimization algorithms
Building Energy Management Platform as a Mesh Sensor Network and Control Based Decision Making Support Tool with Complex Event Processing
Sustainable Cities and Districts Cities Flagship Projects
Key Data Science Technologies: • IoT Sensor Network • Forecasting & Optimisation • Behavioural Analytics – Machine Learning
Flagship Project: FISSAC Industrial Sustainability Services
Fostering Industrial Symbiosis for a Sustainable Resource Intensive Across the Extended Construction Value Chain GA # 642154
Industrial symbiosis ICT Platform
Indicator-based assessment methodology for design and monitoring of industrial symbiosis networks
Opportunity identification
LCA and LCC for FISSAC circular economy model
Key Data Science Technologies: • Multi Aspect Assessments • Decision Support
Flagship Project: DİKA Industrial Sustainability Services
Industrial Symbiosis in Petroleum Sector in Southeast Turkey
EPESUS industrial symbiosis ICT Platform
Over 120 Facilty visits
Over 15 Sectors studied
Opportunity identification
Key Data Science Technologies: • Data Analytics • Decision Support
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Hey Siri,
Yes Emre,
Can you analyse 150 different production facilities, including their decision making processes, find potential material and heat
exchange benefits among themselves and with the neighbouring city, try to convince their management and citizens to facilitate and
run such networks?
Not just yet...
Didn’t think so...
• The developers of big data analyses and AI tools are not experts on the implemenations of the solutions at all domains
• It is experts like you and us who can benefit from the technologies in our fields of work
• To demand, design and develop eco-efficient futures...
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Domain Know-how
Algorithms
Data
Infrastructure
Thank You
Hacettepe Technopolis R&D Building No. 1/18 06800 Beyetepe / Ankara / TURKEY
www.ekodenge.com [email protected]
ekodengeas ekodengeas Ekodenge
Level 39, One Canada Square Canary Wharf London E14 5AB, UK
Emre Yöntem
