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STEER

Support Tool for Energy Efficiency pRogrammes in medical centres

Total Cost €

0

EC-Contrib. €

0

Partnership

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Project "STEER" data sheet

The following table provides information about the project.

Coordinator
PRIMA VERA S.P.A. 

There are not information about this coordinator. Please contact Fabio for more information, thanks.

 Coordinator Country Italy [IT]
 Project website http://steer.ctadventure.com/
 Total cost 1˙206˙000 €
 EC max contribution 1˙206˙000 € (100%)
 Programme 1. H2020-EU.1.3.3. (Stimulating innovation by means of cross-fertilisation of knowledge)
 Code Call H2020-MSCA-RISE-2014
 Funding Scheme MSCA-RISE
 Starting year 2014
 Duration (year-month-day) from 2014-12-01   to  2018-11-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ZEPHYRO SPA IT (MILANO) coordinator 243˙000.00
2    PRIMA VERA S.P.A. IT (MILANO) coordinator 0.00
3    ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS EL (MAROUSSI) participant 283˙500.00
4    CTADVENTURE SP ZOO PL (GDANSK) participant 198˙000.00
5    ENERTECH SOLUTION SRL IT (MILANO) participant 135˙000.00
6    POLITECNICO DI MILANO IT (MILANO) participant 121˙500.00
7    UNIVERSIDAD DE GRANADA ES (GRANADA) participant 108˙000.00
8    MEAZON SA EL (PATRAS) participant 54˙000.00
9    AFEKA - THE ACADEMIC COLLEGE OF ENGINEERING IN TEL AVIV IL (TEL AVIV) participant 36˙000.00
10    AFEKA YISSUMIM LTD IL (TEL AVIV) participant 18˙000.00
11    UNIVERSITAET BAYREUTH DE (BAYREUTH) participant 9˙000.00

Map

 Project objective

To meet the greenhouse gas reduction targets set by the European Commission and to reduce the reliance on imported energy sources from not-EU countries, the energy efficiency sector vitally needs basic analytical and decision support tools. This is especially true for large scale energy-consumer plants (for ex. foundries) but also for medical centres which typically (1) use large amounts of energy, (2) run a wide number of energy consuming machinery with different electrical profiles, (3) serve a weak population that may be heavily affected by energy shortages, (4) have a continuous level of service with special periodicity and peak times, and (5) have to abide to all sorts of strict regulations (for ex. special air quality requirements). The aim of this project is to create a tool that will provide medical centres and any other large institution involved in their energy efficiency programmes (governmental institutions, utilities providers, lending establishments, independent auditors, managers and technical staff), with information on the medical centre’s ideal energy consumption in different scenarios and on the most appropriate energy reduction plan for the medium-long term. The project’s primary proposal is to identity the main variables that are responsible for the energy consumption in medical centres and give to each of them a weight. A novel mathematical model will be produced which will reproduce energy consumption in given scenarios. On the basis of the above model, the project will proceed to build a scenario-based assessment and a prediction tool. It will be used by energy managers and decision makers to evaluate and compare future investments and actions to reduce energy consumption, also on the basis of their economic return. The acquired knowledge and expertise will be embedded in a software prototype (E3s) that will be used as a decision support tool. The product of each phase will be tested in the four medical centres that support the project

 Deliverables

List of deliverables.
Communication and Dissemination plan Documents, reports 2019-08-06 18:19:28

Take a look to the deliverables list in detail:  detailed list of STEER deliverables.

 Publications

year authors and title journal last update
List of publications.
2017 S. Rastegarpour, L. Ferrarini, R. Pacheco-Torres, Athanasios Kalogeras, Christos Koulamas,”
Sensitivity analysis of medical centers energy consumption with EnergyPlus”
published pages: , ISSN: , DOI: 10.5281/zenodo.1211114
ETFA 2017 – 22nd IEEE International Conference in Emerging Technologies and Factory Automation, pp., September 12-15, 2017, Limassol, Cyprus 2019-08-06
2018 C. Koulamas, A.P. Kalogeras, R. Pacheco-Torres, J. Casillas, L. Ferrarini
Suitability analysis of modeling and assessment approaches in energy efficiency in buildings
published pages: 1662-1682, ISSN: 0378-7788, DOI: 10.1016/j.enbuild.2017.12.002
Energy and Buildings 158 2019-08-06
2017 Elena Ruiz; Rosalia Pacheco-Torres; Jorge Casillas
Energy Consumption Modeling by Machine Learning from Daily Activity Metering in a Hospital
published pages: , ISSN: , DOI: 10.5281/zenodo.1211144
2019-08-06
2018 Georgios Kalogeras; Christos Koulamas; Athanasios Kalogeras; Antonios Moronis
Precision robustness testing of a simulation model for energy use in buildings
published pages: , ISSN: , DOI: 10.5281/zenodo.2032744
2019-08-06
2017 Antonios Moronis, Christos Koulamas, and Athanasios Kalogeras
“Validation of a monthly quasi-steady-state simulation model for the energy use in buildings”
published pages: , ISSN: , DOI:
2019-08-06
2017 Christos Koulamas; Antonios Moronis; Athanasios Kalogeras; Daniele Liberanome
Choosing Measures for Energy Efficient Hospital Buildings
published pages: 1-7, ISSN: 1946-0759, DOI: 10.5281/zenodo.1211166
2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) 2017 2019-08-06
2017 Antonios Moronis; Christos Koulamas; Athanasios Kalogeras
Validation of a monthly quasi-steady-state simulation model for the energy use in buildings
published pages: 1-6, ISSN: 1946-0759, DOI: 10.5281/zenodo.1213222
2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) 2017 2019-08-06
2018 C. Koulamas, A.P. Kalogeras, R. Pacheco-Torres, J. Casillas, L. Ferrarini
Suitability analysis of modeling and assessment approaches in energy efficiency in buildings
published pages: 1662-1682, ISSN: 0378-7788, DOI: 10.1016/j.enbuild.2017.12.002
Energy and Buildings 158 2019-08-06
2017 Elena Ruiz; Rosalia Pacheco-Torres; Jorge Casillas
Energy Consumption Modeling by Machine Learning from Daily Activity Metering in a Hospital
published pages: 1-7, ISSN: 1946-0759, DOI: 10.5281/zenodo.1211144
2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) 2017 2019-08-06

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "STEER" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "STEER" are provided by the European Opendata Portal: CORDIS opendata.

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