1. Savona, 10-04-2014 T2.2 - 2.6

2. Overview Task 2.2 Task 2.3 Task 2.4 Task 2.5 Task 2.6

3. Task 2.6: Design and development of energy production data capturing module According to DoW: This module will collect data on the production of energy from any energy production facilities available to the city. These data will be used as inputs by the DSS, that will match them with the energy demand profiles and, considering the priority order (following the price or the sustainability criteria), will propose the optimal energy management solution. The energy production facilities include all energy produced at the facility and either used at the facility or sold for use elsewhere, excluding losses within the energy production systems. The energy production is classified according to: 1.The kind of source: solar, wind, water power, renewed biomass, etc. 2.The kind of energy produced: electricity, heat.

4. Task 2.6 Energy production data Tools for data management There are a variety of tools intended for the management, maintenance and optimization of renewable energy facilities Tools are based on management software specifically designed for each case Some of this software can be interconnected with external data acquisition systems to collect data about the facilities performance Interfaces for these acquisition systems can be created using environments such as LabVIEW A monitoring system widely used today is SCADA (Supervision Control and Data Acquisition) Examples of systems to manage renewable energy production Hybrid Renewable Energy Forecasting - HyRef by IBM Xcel Energy Wind Forecasting System

5. Task 2.6 Example of commercial energy monitoring systems NameWebDescription Type of Energy Renewables Control Center (CECOER) http://www.acciona- energia.com/activity_ar eas/marketing- energy/services/renewa bles-control- center.aspx ACCIONA Energy's Renewables Control Center (CECOER) carries out real-time monitoring of the operation of renewable energy plants managed by the ACCIONA Group with 9,652 MW in total. Located in the Energy Division at Sarriguren (Navarra), it manages data from 287 windparks (owned or for third parties), with 6,855 wind turbines, 80 hydropower plants, solar energy plants (photovoltaic and CSP), biomass and cogeneration plants, and around 289 transformer substations. wind, hydropower, biomass, photovoltaic, CSP and cogeneration Rbee Solar Smart http://rbeesolar.com/ Rbee Solar is intended for small photovoltaic installation. The equipment will measure electricity production, record the data in its internal memory and transmit it twice a day to our servers solar Powerhouse Dynamics http://www.powerhouse dynamics.com/ The eMonitor tells owners of renewable systems: -The amount of power being produced (kWh) -The amount of power being used -Where power is being used -What can be done to reduce use and increase exports to the grid -The amount of energy, carbon, and dollars their renewable system is saving -The amount of energy and dollars they are shipping back to the grid when net-metering The eMonitor also ensures renewable systems are producing the amount of power they should be, and notifies by text or e-mail if the system is producing less than it should be. solar PV, wind, or solar hot wate Netbiter http://www.netbiter.com /solutions/renewable_e nergy.shtml Monitor renewable energy installations remotely. The Netbiter remote management solution is unique since it is an all-in-one solution including communication gateways, secure hosting servers and a web user interface. A Netbiter gateway connects to your renewable energy sources using a serial, Ethernet or I/O connection. The gateway sends information via the Internet or the mobile network (GSM/GPRS/3G) to the cloud-based Netbiter Argos data center. solar, wind, water LogicEnergyhttp://www.logicenergy. com/renewable-energy- monitoring/ Track and archive energy performance data, compare energy output to expected return and flag up system faults via a remote web-portal. Wind

6. Task 2.6 Methodologies, tools, techniques and best practices integrating energy production data MethodologyToolsTechniquesBest Practices Hydro power. Rivers flow through many cities and can offer a reliable, efficient source of energy. (World Economic Forum, 2009, SlimCity Knowledge Card, page 33) “run-of-the-river” schemes, which generate electricity by diverting water to a generator Tidal range, tidal and ocean currents, ocean waves, temperature gradient between the sea surface and deepwater. The United Kingdom’s largest run-of-the- river scheme is the Beeston weir hydro scheme in Nottingham, which generates approximately 5.3 gigawatt-hours of electricity each year (GWh/yr) – enough to support around 1,200 households. Solar power (World Economic Forum, 2009, SlimCity Knowledge Card, page 29) Solar parks, photovoltaic monitoring systems Advances in solar photovoltaic technology has meant that city amenities such as parking meters or traffic signalling equipment can operate without, or reduce reliance on, a grid connection. In Rizhao, China, most of the city’s traffic signalling, street lighting and park illumination are powered with solar photovoltaics. Small-scale urban wind technology. (World Economic Forum, 2009, SlimCity Knowledge Card, page 37) Vertical Axis Wind Turbines (VAWT) Wind turbines can be integrated into the urban landscape in a wide variety of ways A similar scheme was implemented at Avonmouth, UK, featuring an installation of three wind turbines in a port area. It provides around 75% of the port’s energy needs, and exports spare capacity to the local community when available. Development of renewable energy in buildings (Yuan et. al., 2013) Geothermal energy, biomass utilization in buildings, biogas energy, heat pump technology. Utilizing renewable energy in buildings helps to reduce consumption of conventional energy and to achieve low carbon economy. The rapid urbanization in China has produced a large amount of buildings that can be integrated with small scale wind turbines.

7. Task 2.6 Context of the Renewable Energy Production Data Capturing Module of the OPTIMUS DSS To monitor the energy production facilities of the pilot cities The data collected will the total amount of power generated by the facility and if it is available also the energy used for the facility (energy used by the building hosting the renewable energy production system) The data will be stored in the DSS in order to use it as historical data together with the climate data to forecast the short-term energy production for the pilot cities. The energy production capturing module will be generic enough to include sources not available in the pilots Renewable energy production systems available in the pilot cities Photovoltaic systemsWind power systems Savona 400 m 2 of Photovoltaic modules 58 MWh/year 2 parabolic solar concentrator systems with an electrical power output of 1 kW e and a thermal power output of 3 kW th 1 wind turbine with a capacity of 3 kW Zaanstad Public and private photovoltaic plants 6 wind turbines with a capacity of 7.8 MW Sant Cugat 580 m 2 of Photovoltaic lanterns and panels with a production of 93 MWh/year -

8. Task 2.6 Context of the Renewable Energy Production Data Capturing Module of the OPTIMUS DSS The energy production facilities are usually monitored with sensors which can provide real time energy production data The actual weather conditions are frequently included in the monitoring system (e.g. Temperature, humidity, wind direction, solar radiation, among others) These information can also complement the climate data collected by the Weather Forecasting Module The development of the Renewable Energy Production Data Capturing Module will take into account:  The data aggregation (i.e. daily, hourly, and minute by minute)  The technological requirements of the existing facilities

9. Questions? FUNITEC / La Salle BCN Campus ARC Research Group Leandro Madrazo / madrazo@salleurl.edu Álvaro Sicilia / asicilia@salleurl.edu Gonçal Costa / gcosta@salleurl.edu