Pilot Studies

The deployed mechanisms and frameworks will be validated and evaluated in real life conditions in three use cases based on publicly owned buildings, namely at: the Navacchio Technology Park close to Pisa in Italy, the technological park and university campus in University of Murcia in Spain and the Technopole in Sierre in Switzerland.

 

Pilot A – Navacchio Technology Park

Pilot B – University of Murcia Campus

Pilot C – Technopole in Sierre

Pilot A - Navacchio Technology Park

Infrastructure description

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Figures 1 and 2: Navacchio Technology Park

Navacchio Technology Park (www.polotecnologico.it) is located near Pisa in Tuscany (Italy). It was born in 2000 from the restoration of an old industrial settlement and now covers an area of 18.000 square meters with almost 60 high-tech companies (ICT, Energy and Environment, Microelectronics and Robotics) and approximately 500 employees.

 

It is now composed by 4 lots but the main body, represented above, is divided into 3 blocks. Lot 3 hosts the Incubator (www.incubatoreimpresa.it), born in 2003 for the support of hi-tech start-ups, from the conception until the development of the innovative idea on the market. During the years, the Incubator helped many start-ups in the field of technologies related to Renewable Energy and Energy Saving.

 

The Park is partner of the Regional Pole for Renewable Energy and Energy Efficiency Innovation (300 companies – www.polopierre.it) and it is also the managing subject of the Regional Innovation Pole for ICT and Robotics (700 companies – www.distrettoict-robotica.it).

 

Navacchio Technology Park is part of APSTI (Italian Association of Scientific and Techno Parks – www.apsti.it), which includes 25 Parks and associated to IASP (www.iasp.ws).

Energy Infrastructure

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Figure 3: Electrical infrastructure

Dissemination and validation activities will involve only Lot 1, 2 and 3 because the forth was inaugurated in May 2015 and data are still not available for study.

Energy consumption is monitored through ENEL smart meters. Companies, which own or rent offices and/or laboratories, have their own meters whereas Polo Navacchio S.p.A. manages the counters related to common spaces, services and facilities such as:

  • Bar and canteen

 

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Figure 4: Bar

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Figure 5: Canteen

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Figure 6: Nursery

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Figure 7: Guestroom

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Figure 8: Auditorium

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Figure 9: Meeting rooms

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Figure 10: Indoor & Outdoor Lighting

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Pilot B – University of Murcia Campus

UMU’s infrastructure description

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The University of Murcia (UMU) is one of the biggest Universities of Spain. UMU is located in the Region of Murcia, with over 439.712 inhabitants, and it has a population of 40.000 people: students, services personal, etc with three main campuses and several facilities deployed throughout different cities.

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Fig. 1 Espinardo Campus

UMU has been involved in energy efficiency goals for several years. The initial motivation was to connect each appliance to a common platform which was independent on a private manufacturer, with the main goal of the tele-maintenance of the infrastructures of seven buildings distributed in the Espinardo Campus (see Fig. 1). Nowadays, the number of buildings monitored and the automated services provided by these has increased quickly. Specifically, the number of facilities connected to the UMU Building Management System is about 30.

 

 

 

Energy and smart metering related infrastructures

The UMU Building Management System is based on the platform called Open Data, a multi-user SCADA-based web technology that centralizes all sensor information and carries out the intelligent programmed actions. The connection among the different buildings of the university and the platform is done through IP-based connections. Depending on the technology of the manufacturer, these connections can be linked directly to a SCADA or by means of an IP gateway called IPex16.

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The installation of the IPex16 control units in the different electrical cabinets of a building enables to manage easily the infrastructure of this facility. The SCADA web provides a database where are stored all monitored and available data about the different automated buildings.

Currently, the UMU facilities have a set of controllers installed in different buildings to connect sensors, actuators and non-IP Control Unit to the control network of the Open Data platform. The kind of collected data is related with environmental parameters such as temperature, humidity and lighting, there are multiple presence sensors installed in strategic building points as well as an access control system based on RFID for each monitored building. There are energy meters measuring the real consumption due to HVAC and lighting systems, etc. In this direction, the main actions carried out by the Open Data platform are related with systems regulation to provide efficient services of security, energy efficiency, comfort provisioning, etc. to the university community.

Services provided

The services offered in each building are different depending on their facilities. Although most of the buildings have connection with fire control units and its fire detection sensors, as well as with the security control units provided by the security policy of the University, in some buildings are not deployed yet all services offered by the Open Data Platform. Therefore, we propose in this document a mapping of the sensors and systems that would be required to deploy for its inclusion during the project.

Among the different buildings connected to the Open Data platform, in the ENTROPY project we focus on three buildings: the chemistry faculty building, the veterinary faculty building and the Pleiades R&D Building. These facilities have the highest sensor and actuator deployment, thus we will be able to provide a more complete picture of the performance of the different services provided.

The different services that Open Data is able to offer are:

  1. Heating, Ventilation and Air Conditioning (HVAC) System Management:
  2. Indoor Lighting System Management
  3. Outdoor Lighting System Management
  4. Environmental conditions monitoring
  5. Water Management
  6. Energy Consumption Monitoring
  7. Management of alarm system
  8. Management of fire detection
  9. Electrical devices Management
  10. Building Access Control
  11. Monitoring of Energy production
  12. Building Maintenance

 

 

 

 

 

 

 

Pilot C - Technopole in Sierre

Technopole’s infrastructure description

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Figure 1: Technopole in Sierre

More than 250 people work at the Technopole in Sierre which is composed of 50 enterprises including HES-SO research institutes labs and offices, a restaurant, a fitness room and multiple classrooms. All companies working on the site have signed an agreement offering full access to their consumptions for research purposes. The building is one of the cores from the Campus Wallis, a new campus formed by HES-SO and EPFL universities to develop the major Energy research centre, living labs and testbed in Switzerland[1] (Figure 6). A dozen of companies from different sectors work on the site: TV Channel, Universtity, Data center, IT services, Local Internet Service Provider, Industry and Restaurant.

The Technopole’s energy system is composed of 2 microgrids based on solar energy, since Sierre is sunniest City in Switzerland. The 1200m2 photovoltaic panels produce 207 kWp of solar energy.

 

The possible users targeted for the ENTROPY project are the Technopole’s restaurant, the HES-SO school in Sierre (1000 students) and the HES-SO site in the Technopole which is composed of 3 institutes: Information Systems (80 people), Tourism (26 people) and Entrepreneurship and Management (20 people).

 

Energy and smart metering related infrastructures

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Figure 2: Technopole in Sierre – Sensors Deployment

 

HES-SO has already developed an information system which collects both low frequency parameters (load curves from the photovoltaic plant provided by ELKO and the microgrids consumption provided by Sierre Energy, our local electricity provider) and high frequency parameters (device measures from the Ecowizz smart meters). Energy consumption is collected at different levels: At the low voltage transformer, at the PV panels, at different buildings of the Technopole and at companies offices. For each data collection, the active and reactive powers from the three phases are available each second.

The thermal heating based on gas and the heat pump for the air conditioning are also monitored and controlled.

In addition, a new generation lithium-titanate battery with a capacity/power of 25kWh/25 kW stores the extra-photovoltaic production when available and deliver back the energy when the solar production is low.

Finally, a weather station collects humidity, luminous intensity, pressure, wind and temperature every minute.

A consequence of this testbed is the development of a website which enables to follow in real-time the production and consumption through: http://www.technopole-vert.ch. This information is also presented in multiple screens deployed in the common areas of the building, in order to evaluate in long term the impact on users behaviours.

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Figure 3: Technopole in Sierre – StorageManager’s Monitoring

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Figure 4: Technopole in Sierre –Microgrid’s consumption and PV production

As described in Figure 3, when PV production is above the cumulative consumption curves (dark red line), the storage is activated. When PV production is too low for the buildings consumption, the battery is used to compensate the extra need of power.

Research activities based on the microgrid

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Figure 5: Data mining process in Knime software

Electric appliances detection: The current deployment extracts the usage patterns for electricity out of load curves by using classifiers that extract the load curve of one device using single signature and the global signature. In addition, the Ecowizz smart meters, based on ZigBee, are also used to collect information of the power consumption for specific devices in order to have also fine grain awareness of the power consumed by specific devices and carry out fine grain monitoring. In particular, over 100 smart meters are deployed in the Technopole 3-5 and 10 offices. Thereby, fine grain monitoring is being carried out.

 

IoT technologies: The testbed is also used for testing a set of novel IoT technologies on electric devices in a “smart office” developpemnt context. This work is in coordination with Sierre Energy network for the proper integration between the microgrids and the smart grid.

 

Consumption and production prediction: Models based on hybrid non-intrusive approaches and machine learning enables us to use the active/reactive power to identify the different appliances, the profile of the different seasons and the working days. Moreover, the usage of the data from the smart meters allow us to predict the energy consumption and the solar panels production in a time windows of fifteen minutes which is a clue information to carry appropriate actions to increase the Technopole’s own consumption and decrease the consumption from the grid.

 

 

[1] Campus Wallis (EPFL and HES-SO): https://www.dropbox.com/s/9llwb89ss57s3p9/comm_fr_1.pdf

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