Session
Energy Efficiency Engineering
Description
The study will analyze the thermal and electrical energy consumption of the largest Italian railway stations, comparing the clustered data from yr. 2014 to yr. 2018, to evaluate the energy consumption trend in TOE, Tonnes of Oil Equivalent. The aim will be the electrical and thermal consumption reduction, thanks to the use of the photovoltaic technology, integrated with batteries and BACS (building automation and control system). A specific software (Termolog Design Photovoltaic and Acca Solarius PV) has been used to carry out the results; to identify improvement solutions, an algorithm made it possible to identify the best set point of integration between energy supply and production.
Keywords:
Energy Efficiency, CO2 Reduction, Renewable Energy, Photovoltaic System, Eco-Sustainable Development, Green Energy, Circular Economy, Smart Mobility.
Proceedings Editor
Edmond Hajrizi
ISBN
978-9951-550-47-5
First Page
1
Last Page
6
Location
UBT Kampus, Lipjan
Start Date
30-10-2021 12:00 AM
End Date
30-10-2021 12:00 AM
DOI
10.33107/ubt-ic.2021.305
Recommended Citation
Bylykbashi, Kliton; Bonifazi, Giuseppe; Gasbarrone, Riccardo; and Serranti, Silvia, "Energy Efficiency: Case of Study for an Italian Railway Station" (2021). UBT International Conference. 322.
https://knowledgecenter.ubt-uni.net/conference/2021UBTIC/all-events/322
Included in
Energy Efficiency: Case of Study for an Italian Railway Station
UBT Kampus, Lipjan
The study will analyze the thermal and electrical energy consumption of the largest Italian railway stations, comparing the clustered data from yr. 2014 to yr. 2018, to evaluate the energy consumption trend in TOE, Tonnes of Oil Equivalent. The aim will be the electrical and thermal consumption reduction, thanks to the use of the photovoltaic technology, integrated with batteries and BACS (building automation and control system). A specific software (Termolog Design Photovoltaic and Acca Solarius PV) has been used to carry out the results; to identify improvement solutions, an algorithm made it possible to identify the best set point of integration between energy supply and production.