Final Review Meeting: Rhodes - Tilos, 10th -12th April, 2019
1
Outline
1. Advanced BESS p. 1
2. Wind Turbine p. 3
3. Photovoltaic Park p. 5
4. Smart Metering & DSM Platform p. 7
5. Diesel Genset p. 9
6. Info-kiosk & Solar EV Charger p. 11
7. High-Level Energy Management Centre p. 13
8. Microgrid Management Platform p. 15
9. Forecasting System p. 17
10. Microgrid Simulator p. 19
11. Extended Microgrid Simulator p. 21
12. Storage System Performance Analysis Tool p. 23
13. Consumer Engagement Toolbox p. 25
14. Summer School & Joint Master p. 27
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 646529
TILOS Advanced BESS
The advanced Battery Energy Storage System (BESS) of TILOS is the result of bringing together the FZSoNick NaNiCl2 Battery and the IDT FlexConvert Inverter into an integrated, multifunctional configuration, suitable for both island and grid- connected applications. The prototype BESS showcased its different functions under TILOS by supporting maximization of RES penetration, increased island security of supply and provision of ancillary services to the host grid of Kos.
Main Features
Load levelling: Contributes to optimize generation, transmission, and distribution assets Power quality: Compensates the power fluctuations using active power from batteries in combination with the IDT inverter RES optimization: Helps mitigate power fluctuations in diurnal and seasonal RES intermittency Grid forming: Enables the conditional operation of Tilos in isolated mode, improving local security of supply Black start: Capability to start up part of the grid after an unexpected event
Energy Independence for Island Communities
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 646529 1
Technical Specifications
Battery chemistry NaNiCl2 System rating (Voltage, Ah) Nominal 620 VDC - Nominal 2432 Ah Minimum/maximum system voltage 500 VDC / 700 VDC Standard charge/discharge time 8h charge; 3h discharge @400kW constant power Electric design 64 battery modules in parallel mode Specific energy ~100Wh/kg Memory effect No memory effect Max discharge current per container 1920 A Enclosure dimensions (LxHxW) (m) 6.058 x 2.896 x 2.438 Weight (with/without battery modules) 25 tons / 10 tons Ambient temperature -20oC/+40oC (Std Cond.) -30oC/+50oC (Extr. Cond.) Heaters consumption Max 64 kW - Operation @ 10kW Ventilation/cooling requirements No A/C - Forced air vent. for power electronics Inverter model SOLO S/ISC-30-105 Inverter nominal power 450kW Inverter max apparent power 500kVA Inverter efficiency (charging/discharging) 98.2% Control modes P/Q operation & U/f in island mode LVRT / FRT Available AC nominal operating voltage 300V AC nominal current 875 Amp Grid frequency 50 Hz Ambient temperature range -20oC/+45oC
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 646529 2
TILOS Wind Turbine
One of the main elements of the TILOS Hybrid Power Station is the Enercon E-53 wind turbine of 800kW. The medium-scale wind turbine, which was installed in July 2017, is located on the north side of the island, near the beautiful beach of Plaka. The annual energy yield of the wind turbine is approximately 2,1GWh, equal to 70% of Tilos island demand, which is harvested to support both energy autonomy of Tilos and clean energy exports to the electricity system of Kos.
Main Features
Medium-scale, horizontal-axis commercial wind turbine Enercon E-53 of 800kW nominal power Located on the north side of Tilos island, close to the subsea cable junction connecting Tilos to Kos Installed in summer 2017 and commissioned in autumn 2018 Estimated annual wind energy CF in the order of 30% Prevents the emission of 1,350 tonnes of carbon dioxide (CO2), 2 tonnes of nitrogen oxide (NOX), and 21 tonnes of sulphur dioxide (SO2) on an annual basis
Energy Independence for Island Communities
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 646529 3
Technical Specifications
Type E-53-1 Rotor diameter 52,9m Swept area 2198m² Power regulation Pitch RPM 12-29rpm Cut-in wind 2,5m/s Cut-out wind 28-34m/s (ENERCON Storm Control) Survival wind speed 57m/s Blade length 25,25m Material GRP (Epoxy) Generator nominal power 800kW Generator type (model) Synchronous, direct-drive ring generator Hub-height 60m Tower Steel (3+B) Design wind class IEC S Definition of wind class S Annual average: 7,72m/s - Survival speed: 57m/s Weight of nacelle, excl. rotor and hub approx. 5,5tn Weight of rotor incl. hub / main pin approx. 16,5tn Weight of the generator approx. 16,5tn Total weight approx. 38,5tn
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 646529 4
TILOS Photovoltaic Park
Tilos appreciates excellent solar potential, which stimulated the employment of the small-scale PV park of 160kWp, comprising one of the key-components of the island's Hybrid Power Station. The PV park, located in the center of the island, contributes with ~265MWh of clean energy on an annual basis, which is close to 9% of Tilos island demand, while also offering a dispatchable energy source that allows for better regulation of the overall Tilos system.
Main Features
Small-scale PV power station of 160kWp, comprising of 592 solar panels of 270Wp each Located between the villages of Livadia and Megalo Chorio, close to the island's water reservoir Installed in summer 2017 and commissioned in autumn 2018 Estimated annual CF in the order of 19% Prevents the emission of 170 tonnes of carbon dioxide (CO2), 0.25 tonnes of nitrogen oxide (NOX), and 2.7 tonnes of sulphur dioxide (SO2) on an annual basis
Energy Independence for Island Communities
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 646529 5
Technical Specifications
Type JA SOLAR (Multi-crystalline Silicon Module) Panel model JAP6(K)-60-270/4BB Operating temperature -40oC to 85oC Dimensions (LxWxH) 1650x991x35 mm Application class A Rated max power @STC 270 W Open circuit voltage Voc @STC 38.17 Volts Max power voltage Vmp @ STC 31.13 Volts Short circuit current Isc @ STC 9.18 Amp Max power current Imp @ STC 8.67 Amp Module efficiency @ STC 16.51 % Temperature coefficient of Isc +0.058 %/oC Temperature coefficient of Voc -0.330 %/oC Temperature coefficient of Pmax -0.410 %/oC Max power @ NOCT 196.02 W Open Circuit Voltage Voc @ NOCT 35.15 Volts Max power voltage Vmp @ NOCT 28.49 Volts Short circuit current Isc @ NOCT 7.17 Amp Max power current Imp @ NOCT 6.88 Amp
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 646529 6
TILOS Smart Metering & DSM Platform
The Smart Metering & DSM Platform is a hardware/software solution supporting advanced metering and control of both facility-level and individual end-consumer loads. By exploiting an adequate pool of customers and community loads, the platform deploys DSM strategies at the local, end-user and Microgrid/aggregator level, enabling increased RES penetration, improved operation and sizing of storage facilities as well as provision of grid-supporting services.
Main Features
3-phase or 1-phase smart metering with resolution based on the requirements of the central EMS Smart-metering and control of distinct 1-phase loads with embedded protection during reconnection after black-out and brown-out events (max of 12 loads) AMI based on redundant mesh-network nodes running the BATMAN routing protocol Continuous operation even when disconnected from the AMI. Data is replicated when communication is re-established Aggregated DSM pool equivalent to ~20% of the island average load demand including both residential and community loads (water pumps)
Energy Independence for Island Communities
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 646529 7
Technical Specifications
Measurements kWh, kVarh, kW, kVar, kVA, P, F, PF, Hz, dmd, V, A Bi-directional measurement (import/export) YES Energy information of each phase YES Total harmonic distortion (voltage-current) YES 2nd and 3rd Individual harmonic distortion YES RS485 Modbus RTU Output N (serial only) Panel dimensions (current/prospective) D x W x H (mm): 120 x 330 x 470 / 100 x250 x 250 Power supply 230V/50Hz Type of power supply Dual 5V/12V DC, 500mA max under load Internal consumption of the panel < 2W metering, < 12W complete system Display Backlit LCD Measurement sampling interval Programmable, 1'' up to system requirement Accuracy Class 1 equivalent Storage 1’ / 1” intervals: 7-10.5 years / 1.5-2.2 months Voltage measurement (V) 5–120% of nominal (Min 100V, self-powered) Current measurement (A) 5–120% of nominal Frequency measurement (Hz) 45–66Hz Power measurement (W, VAr, VA) 5–144% of nominal (bi-directional) Energy measurement 8 digit, up to 9999999.9kWh Power factor measurements 4 quadrant THD 0–40% up to 63rd harmonic
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 646529 8
TILOS Diesel Genset
Before its interconnection with Kos, Tilos island covered its electricity needs using the local diesel power station, comprising five individual diesel units. After the commissioning of the undersea cable to Kos in 2010, the local power station is maintained only as back-up, employing a single diesel genset. The latter has been integrated to the TILOS High-Level Energy Management Centre in order to assist the island operation of the HPS through black-starting the local Tilos grid.
Main Features
The local back-up diesel genset is used to black-start the island of Tilos in the occurrence of a severe power cut Faults in the electricity line between Kos and Tilos are quite frequent, caused by extreme weather events and/or damage of the undersea cable A cumulative of over 200h of power
outages have been recorded in Tilos since early 2015, considering events lasting from 1h to 5h on average In January 2016, the subsea cable was severely damaged. Two weeks were required to restore the connection, during which Tilos had to run on pure,
local-based diesel power generation
Energy Independence for Island Communities
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 646529 9
Technical Specifications
Engine type 4 stroke watercooled turbo aftercooled diesel
Cylinder arrangement V type
Combustion system Direct injection
Number of cylinders 16
Number of turbochargers 4
Bore x stroke 170mm x 180mm
Total displacement 65.37 liter
Type of fuel Diesel fuel oil (ASTM no. 2-D)
Generator prime power with/without fan 1450kW/1480kW @1500 rpm
Generator standby power with/without fan 1590kW/1620kW @1500 rpm
Governor Electronic
Starting system Electric or air starting
Lubricating system Forced lubrication by gear pump
Main dimensions - length 2880 mm
Main dimensions - width 1360 mm
Main dimensions - height 1810 mm
Dry weight engine only 6200 kg
Alternator Leroy Somer LSA51.2M60
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 646529 10
TILOS Info-Kiosk & Solar EV Charger
The info-kiosk of TILOS is the communication hub of the project, conveying the different aspects of the developed smart microgrid to the visitors of the island. Hosting also the first ever solar-based EV charger on a Greek island, the info- kiosk stands as a landmark for Tilos and its habitants, introducing innovative elements and new ideas in order to raise awareness, further engage Tilos habitants in energy transition and protect the local environment.
Main Features
Located on the seafront, on the main pedestrian road “Tassos Aliferis” in the village of Livadia and within walking distance from the Tilos port Fully renovated in 2017 and in operation ever since, mainly during the summer period of the year
Communicates the main aspects of the project to island visitors, providing informative material and interactive digital means First ever solar-based EV charger on a Greek island, commissioned in 2019, introducing the notion of green electromobility in Tilos
Energy Independence for Island Communities
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 646529 11
Technical Specifications
Roof PV system of 4.93kWp, comprising of 17 Jinco Smart PV panels, 290Wp each, and an ABB inverter (type UNO) of 5kW installed capacity Solar EV-Charger equipment EV charger of type "EVlink Wallbox" of Shneider- Electric, with max charging power of 7.4kW at 32Amps and at 16Amps for Type 2 compatibility Touch screen monitor, offering the visitors a virtual navigation and providing a great variety of photos and time-lapse videos from the period of system installation. Its aim is to enhance understanding of system operation and relevant environmental gains through the visualization of real-time data, made possible via the development of a custom designed software interface Architectural model of Tilos island, presenting the Info-kiosk interior local electricity grid, the main installation sites of TILOS (wind-battery and PV station sites) and also the island’s main settlements Informative material for visitors including a stand for project flyers, collage frame of 12 pictures, a replica of the COP21 poster created by the Ministry of Environment, banners of the main microgrid components and a weather proof noticeboard at the façade of the info-kiosk
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 646529 12
TILOS High-Level EMC
The High-Level Energy Management Centre (EMC) comprises the overarching monitoring and control entity of the local smart island microgrid supporting the governance and interoperability of all TILOS components including the HPS, the diesel genset, the DSM pool and other elements such as grid sectionalizers and the sync-switch at the subsea cable junction with Kos, and which enables the isolated operation of Tilos and the recovery of the local grid from black-outs.
Main Features
Hosted at the old power station of Tilos, together with the DSM server and the back-up diesel genset of the island Interfaces all sub-components of the broad TILOS microgrid solution, supporting both grid-connected and isolated operation Supports the establishment of a black-out recovery mechanism, optimally exploiting all available assets of the Tilos microgrid Offers a test-bed for the deployment of the Microgrid Management Platform and other intelligent energy management systems
Supports modular features allowing for the interface of new elements extended to vectors other than electricity
Energy Independence for Island Communities
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 646529 13
Technical Specifications
One industrial PC Server that communicates with all operational elements and gathers all the needed data for the EMS. In the case of the emergency scenario it undertakes the control of the whole microgrid One UPS 1.5kVA that provides autonomy for approximately 30 minutes One workstation with a 24’’ monitor. From the workstation an operator can monitor and control the HL-EMC equipment system through the SCADA application One Siemens S7-1200 PLC system installed at the control panel of the diesel generator, interconnected with the existing automation, enabling remote start and operation of the genset as instructed by the system A Janitza network analyzer for the diesel genset installed at the control panel of the generator Wireless coupling between the High-Level EMC server and the HPS Live supervision and control Energy management functions System modules Historical storage system (SQL RDBMS) Report generator Live & historical operational supervision and control System functions High-Level Energy Management during emergency mode (Island Mode)
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 646529 14
TILOS Microgrid Management Platform
TILOS Microgrid Management Platform (MMP) is an intelligent platform designed and developed for achieving optimum operation of different smart microgrid cases through the governance of all microgrid components. It does so with the support of embedded smart-grid elements, such as the TILOS Forecasting System, and through interfacing external agents such as the TILOS Smart Metering & DSM Platform, emphasizing on interoperability aspects.
Main Features
Dispatches available power of the generating units and the BESS in the context of day-ahead, medium and short-term scheduling such that the power balance can be maintained at all times, applying also DSM Maintains the stability of the network in accordance with all relevant power quality standards Maximizes the share of RES or minimizes costs without jeopardizing any of the above objectives Optimizes dispatch of the different system agents and ensures value asset maximisation by considering multiple layers of optimization
Energy Independence for Island Communities
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 646529 15
Technical Specifications
Programming language Python 3 Communication System: This system implements several functions to connect TILOS MMP with the rest of system elements such as the HPS, its devices and the customers to which the results of the predictions will be sent Forecasting System: This system deploys forecasting models in order to predict wind power, solar power and load demand for the given microgrid Energy Management System: This system includes the models that, using the forecasting results, define recommendations of the set- points that should be configured to accomplish stability conditions Component overview for the examined microgrid under the prerequisite of satisfying certain objectives such as RES penetration maximization or overall cost minimization General Infrastructure: Includes those elements that interact with the various system components such as databases and the schedulers, managing the execution of forecasting and energy management models User Interface: Refers to the different web services which have been configured to allow the representation of the forecasting and energy management results, as well as the execution control of the entire system Built-in databases and external communication with web-based Data I/O interfaces (WebUI) - Detailed analytics in the form of tables and graphs - export of tables - Connection to external SCADA systems
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 646529 16
TILOS Forecasting System
TILOS Forecasting System (FS) is an exhaustive Machine Learning platform which allows the automatic execution of forecasting models for the prediction of load demand and RES power generation. The TILOS FS manages the automatic storage of forecasting results and their dispatch to the different agents of a microgrid, suggesting both a critical element for the efficient operation of a smart Energy Management System and a stand-alone tool.
Main Features
Web service which allows the real – time management and execution scheduling of every forecasting model Forecasting models integrated in the platform are executed for different prediction horizons and resolutions Forecasting results are stored in a local database accessed through a web service Supports the operation of energy management systems, collecting data in real – time through an autonomous communication system Supports also the integration of new forecasting models that can be programmed in other languages
Energy Independence for Island Communities
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 646529 17
Technical Specifications
Programming language Python 3 Operating system Linux (Ubuntu, OpenSuse) PostgreSQL, Anaconda3, Sqlachemy and other open Other requirements source libraries required by the forecasting models (R Statistics packages and Matlab runtimes) Load demand forecasting models (19 Models): Day-ahead and intra-day models with hourly resolution, medium-term models for 6h and 2h ahead with hourly and 10min resolution and short-term models for 10min ahead with 1min resolution Solar power forecasting models (8 Models): Models to Forecasting models forecast solar power generation with the same resolution as above, using as main inputs the historical production of the PV plant and other historical weather data Wind power forecasting models (11 Models): Models to forecast wind power generation with the same resolution as above, using as main inputs the historical production of the wind turbine and other historical weather data Observed data: Data collected from the Communication System via OPC, Modbus and IEC61850. HPS generation, Data required for load demand and data collected from weather stations the forecasting model Numerical Weather Prediction results: Results of the operation Weather Research Forecast model which is also implemented in the platform in order to obtain more accurate predictions
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 646529 18
TILOS Microgrid Simulator
TILOS Microgrid (MG) Simulator is an advanced software platform which aims to promote the TILOS solution. Its primary purpose is the high-level energy simulation, optimum design and energy balance analysis of Community and Island Microgrids featuring different energy elements such as: Renewable Energy Sources, Energy Storage, Hybrid Power Stations (HPSs), Thermal Power Generation, Demand Side Management (DSM) and Interconnectors.
Main Features
High-level analysis of MGs under a variety of system operation modes, in the interest of different energy actors Stand-alone, semi-autonomous and market-dependent operation strategies of a MG, capturing DSM and forecasting aspects Different optimization objectives for different actors, incl. security of supply, overall system costs, environmental performance, etc Add-in Machine Learning forecasting module & Aegean Sea islands analytical database
Energy Independence for Island Communities
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 646529 19
Technical Specifications
Programming language C# / Microsoft .NET Framework 4.5 (OOP)
Operating system Windows 7, 8.1, 10 (32-bit / 64-bit)
RAM requirements ≤ 880MB (for hourly step resolution) Built-in databases and external communication with web- Data I/O based interfaces - Detailed analytics in the form of tables and graphs Island operation: Load following approach with the objective to maximize RES share or reduce overall system costs, exploiting also forecasting and DSM aspects - from the MG operator point of view Semi-autonomous operation: Load and/or price following Supported MG & approach on the basis of energy trade with a host electricity HPS energy strategies grid / market environment, including unit commitment for the host grid generators - from the MG operator point of view Greek regulation for Non-Interconnected Islands: Application of the Greek regulation requirements concerning the design and sizing of HPSs and execution of intra-day dispatch scheduling algorithms - from the private actor point of view DSM: Embedded load shifting / deferral / shedding algorithms - Potential for interactive communication with individual DSM Supported smart clients and DSM pools for aggregation purposes grid elements Forecasting: Advanced ML algorithms with the use of the Open Source Encog Machine Learning Framework for load demand, wind power and PV power generation
100 Thermal Exisiting Wind 95 Exisiting PVs HPS-Guar 90 HPS-Wind HPS-PV 85 80 75 70 65 Power (MW) 60 55 50 45 40 1 7 13 19 25 31 37 43 49 55 61 67 73 79 85 91 97 103 109 115 121 127 133 139 145 151 157 163 Hour of the Year
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 646529 20
TILOS Extended Microgrid Simulator
The Extended Microgrid (MG) Simulator provides a modular tool enabling users to analyze various scenarios for island and market-integrated systems. It provides a high-level simulation of energy flows for the design and optimization of microgrids, featuring relevant components. These include renewable power sources, common energy storage systems and grid interconnections, with extra features considering storage hybridization and provision of market services.
Main Features
Modular toolbox for flexible analysis of different system layouts for island microgrids Hybrid operation simulation for renewable power generators and storage systems to analyze advanced configurations and operation modes, including also hybridization of storage assets Load-following and price- following energy management strategies considering also market services such as primary control reserve, arbitrage, etc Expandable component library and energy management system for user-specific adaption
Energy Independence for Island Communities
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 646529 21
Technical Specifications
Programming language Matlab / Simulink (R2015b)
Operating system Windows 7, 8.1, 10 (64-bit) Input of user-based time series of weather and load data for location-specific case studies, system layout Data I/O and component sizing – Detailed analysis of all component-related flows of energy Power sources/generators: Wind turbine (generic and datasheet-based), photovoltaics, diesel generator, interconnectors, etc Grid components: Power converters, electrical load, grid connection to overlaying macrogrid Provided component library Storage systems: Lithium-ion, Lead-Acid, Vanadium Redox Flow and Molten-Salt batteries, including hybridization module allowing for optimum, combined operation of different storage assets Surroundings: Wind speed, solar irradiance, ambient temperature, etc Component aging: Economic assessment of system setup based on analysis of costs (investment, operation) and revenues over simulated component life time Economic assessment and Optimization: Implementation of simulation toolbox optimization into optimization framework (e.g. evolutionary algorithms) Services: Market services including arbitrage, primary control reserve, etc
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 646529 22
TILOS S2PAT Tool
Storage System Performance Analysis Tool (S²PAT) is an advanced software platform which aims to propose a generic approach for the operation aiding of a Battery Energy Storage System (BESS). The main objective is to follow the evolution of diagnostic and prognostic key performance indicators in order to practise predictive maintenance and improve the performance and availability of the BESS both for the short and long-term operation.
Main Features
Data processing tool, able to compute several key indicators for BESS operation, status, solicitation and performance Diagnostic tool, able to identify the nature of a defective component failure by adopting an effect- cause approach, while also providing diagnostic indicators Prognostic tool, able to predict the future BESS state with the use of related health indicators and thus improve system operation via appropriate maintenance interventions
Energy Independence for Island Communities
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 646529 23
Technical Specifications
Programming language Matlab Operating system ≥ Windows 7 (64-bit) Data collection from the battery controller @ 1sec acquisition Input data time rate - Storage in local database Data processing: KPIs for the following 4 categories: Operation: System availability rates, shutdown, rest time Status: Evolution of parameters (temperature, voltage, state of charge...) that affect the state of batteries Solicitation: Assessment of battery use regarding power solicitations or BMS limitations Performance: Faradic and energetic efficiency estimation Diagnosis: Identification of defective components and nature of Output data failure. Diagnostic indicators are calculated from actual battery measurements and allow to understand whether batteries operate in nominal, degraded or trip mode. Failure modes, causes and root causes can be extracted from these indicators Prognosis: Prediction of the system future state regarding the DC side on the basis of state of health indicators produced. These relate to ageing prediction and estimate future system degradation, offering also the potential for preventive maintenance scheduling
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 646529 24
TILOS Consumer Engagement Toolbox
The scope of the Consumer Engagement Toolbox is to establish a personal and easily accessible channel of interaction with local communities and individuals so as to educate them and raise their awareness concerning the benefits of active involvement in different aspects of clean-energy projects. To do so, different methods and tools have been developed and exploited in the context of TILOS, altogether comprising the TILOS Consumer Engagement Toolbox.
Main Features
Set of training seminars and related material concerning smart metering, DSM, energy savings, smart microgrids' operation, prosumers and energy cooperatives Conduction of temporal studies aiming to the regular monitoring of local populations concerning energy habits and willingness to actively participate Conduction of geographical studies to measure the impact of a clean energy project in its surroundings and to pave the way for the
replication of successful projects
Energy Independence for Island Communities
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 646529 25
Main Methods/Tools
Study the way of conduct and day to day practices of people of the local community. Examine and understand Ethnographic and behavioral the diverse dynamics in order to adopt the most suitable research approach method for each subgroup (ex. farmers, businessmen etc) Identify local stakeholders and those who can collaborate Stakeholder mapping and service the scope of the project. Local authorities are the first to be contacted Identify key media sources, establish connection and interaction. When the appropriate liaisons are in place Media mapping feed them with news and developments of the project (ex. articles, press releases, interviews etc) Approach individuals that have increased influence on the community. Form alliances and collaboration strategies. Establishment of a network of Members of the local authorities and elected influencers representatives are usually individuals of high influence in local communities Identify popular social media groups and pages that are Social media engagement widely used by members of the community, become a member and interact with them Through a diverse set of seminars educate locals, present developments and progress while also keeping them Organization of seminars inspired by presenting potential benefits. Divide the subject of the seminars according to the project’s phases and adjust them to your audience needs Identify those individuals who have expressed an interest, want to stay informed and be involved in order to promote Establishment of an affiliated the scope of the project. Delegating affiliated individuals a network of people role of the project can provide multiplying short-term and long-term benefits Events involving the whole community can be inspiring Organization of events and motivational to a large group of people Present progress of your project by creating promotional Production of promotional material material that introduces news and developments that are engaging
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 646529 26
TILOS Summer School & Joint Master
TILOS Summer School was established during project implementation, organized for two consecutive years on the island of Tilos and standing as the pilot for the development of a Joint Master Programme supported by the academic and industrial partners of TILOS. The preliminary design of the Joint Master introduces the subject of "RES Hybrid Energy Solutions and/ or Clean Energy Islands" as an innovative option amongst energy-related Master programmes.
Main Features
The TILOS Summer School was organized for two consecutive years on the island of Tilos, in summer 2017 and in summer 2018, with the support of the local Tilos Municipality The first TILOS Summer School was entitled “Design & Implementation of RES-based Hybrid Systems” and the second one “Hybrid Solutions based on Renewable Energy Sources” Post-graduate students and experts in the field of smart microgrids and energy islands attended and contributed to the conduction of the two TILOS Summer Schools
Energy Independence for Island Communities
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 646529 27
Main Features
The programme comprises 120 ECTS credits, which corresponds to 2 years of full-time studies. These include Joint Master Credits 90 ECTS credits of theoretical courses as well as a second- cycle independent (degree) project in energy engineering equivalent to 30 credits
Partner Course Semester Period Credits UNIWA Fundamentals of Energy Engineering 1 1 15 UNIWA Numerical Methods & Programming 1 2 15 RWTH Fundamentals of Electrical Engineering 2 1 7.5 RWTH Energy Storage Systems 2 1 7.5 Joint Master Modules UCPP Solar, Wind, Hydro & Bioenergy 2 2 15 UCPP Smart Grids & Electric Mobility 2 2 5 Summer School "Hybrid Energy UNIWA Summer Summer 5 Solutions" UEA Sustainable Management 3 1 10 KTH Sustainable Energy Systems - Project 3 1 and 2 10 KTH Renewable Fuel Production Processes 3 2 10 All Degree project - Internship 4 1 and 2 30
Implementation through the Erasmus Mundus/Erasmus+ framework with the academic partners of the TILOS project involved in the consortium of higher education institutions Joint Master Implementation Implementation at UNIWA, with participation of professors from the academic partners of TILOS project Implementation of the master programme or part of it through an on-line platform
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under Grant Agreement No 646529 28