Sustainable Development Goals and Current Sustainability …
253
Some possible basis of knowledge for teaching the AI system have been defined
by the Green Team’s dedicated working group. The analyses were conducted separately for each language (English and Italian) and therefore the knowledge bases
were always separated into two sets. Three types of tests were done, using three
different knowledge bases: the definitions of the SDGs as extracted from the UN
official website; 5 publications certainly attributable according to the highest Google
Scholar citation index for each SDG; a sample of about 100 PoliTO’s publications,
manually classified by the Green Team members, expert of each “category” of goals.
Preliminary results of the three analyzes show a polarization on three SDGs: 7, 11
and 12. In general, the analysis based on the official UN definitions returns a greater
distribution on all the SDGs. A significant difference is in the third type of analysis,
which returns 6545 classified publications compared to about 4000 of the other two.
It therefore seems to be less resolving than the others. It appears clear that a human
control is necessary to cut out the “false friends” retraced in a quick control over
few publication, where the word “environment”, for instance, was strongly related
to the IT semantic realm, rather than to the SDGs “life below water” or “life on
land”. While the polarization toward SDGs such “affordable and clean energy” or
“industry, innovation and infrastructure” is quite predictable in a technical university
such as PoliTO, having just engineering and architecture departments, it is essential to carry out a human driven punctual verification of the classification obtained,
on a significant sample, that is now undergoing at the time of this writing. Therefore, in the following sub paragraphs, the result of the iii) activity related to current
results/targets mapped on SDGs per action lines exercise is presented.
4 Energy and Buildings
Pursuing energy sustainability at Politecnico di Torino means reducing and rationalizing energy use and its environmental impact on campus reality. PoliTO’s energy
consumption in 2014 accounted for 5064 toe, while in 2015 the total decreased to
4967 toe, 4 987 toe in 2016 and 4398 toe in 2017, decreasing by the 13% in four
years.
The carbon foot print is 2217 tons of CO 2 , as 100% of electric energy comes
from renewable sources. In 2015 we consumed 4.0 koe per cubic metric and 166 koe
per student, while in 2016 this last portion decreased to 151 koe per student. While
providing the quality/comfort of indoor spaces, plus the security and the affordability
of the supply, PoliTO aims to make its building structures more efficient, and to
produce and/or to buy energy from renewable sources. Energy sustainability of the
University therefore concerns plants, buildings and sources. This dimension, besides
all action aimed at saving energy and fostering the widespread use of renewable
sources, includes the monitoring of all resources, the real-time control of these flows
(with the Living Lab facility) and the adoption of new management methods for
energy saving. Therefore, the PoliTO priorities in the energy action fields are twofold:
to reduce the energy demand as much as possible, while trying to pursue the principle
253
Some possible basis of knowledge for teaching the AI system have been defined
by the Green Team’s dedicated working group. The analyses were conducted separately for each language (English and Italian) and therefore the knowledge bases
were always separated into two sets. Three types of tests were done, using three
different knowledge bases: the definitions of the SDGs as extracted from the UN
official website; 5 publications certainly attributable according to the highest Google
Scholar citation index for each SDG; a sample of about 100 PoliTO’s publications,
manually classified by the Green Team members, expert of each “category” of goals.
Preliminary results of the three analyzes show a polarization on three SDGs: 7, 11
and 12. In general, the analysis based on the official UN definitions returns a greater
distribution on all the SDGs. A significant difference is in the third type of analysis,
which returns 6545 classified publications compared to about 4000 of the other two.
It therefore seems to be less resolving than the others. It appears clear that a human
control is necessary to cut out the “false friends” retraced in a quick control over
few publication, where the word “environment”, for instance, was strongly related
to the IT semantic realm, rather than to the SDGs “life below water” or “life on
land”. While the polarization toward SDGs such “affordable and clean energy” or
“industry, innovation and infrastructure” is quite predictable in a technical university
such as PoliTO, having just engineering and architecture departments, it is essential to carry out a human driven punctual verification of the classification obtained,
on a significant sample, that is now undergoing at the time of this writing. Therefore, in the following sub paragraphs, the result of the iii) activity related to current
results/targets mapped on SDGs per action lines exercise is presented.
4 Energy and Buildings
Pursuing energy sustainability at Politecnico di Torino means reducing and rationalizing energy use and its environmental impact on campus reality. PoliTO’s energy
consumption in 2014 accounted for 5064 toe, while in 2015 the total decreased to
4967 toe, 4 987 toe in 2016 and 4398 toe in 2017, decreasing by the 13% in four
years.
The carbon foot print is 2217 tons of CO 2 , as 100% of electric energy comes
from renewable sources. In 2015 we consumed 4.0 koe per cubic metric and 166 koe
per student, while in 2016 this last portion decreased to 151 koe per student. While
providing the quality/comfort of indoor spaces, plus the security and the affordability
of the supply, PoliTO aims to make its building structures more efficient, and to
produce and/or to buy energy from renewable sources. Energy sustainability of the
University therefore concerns plants, buildings and sources. This dimension, besides
all action aimed at saving energy and fostering the widespread use of renewable
sources, includes the monitoring of all resources, the real-time control of these flows
(with the Living Lab facility) and the adoption of new management methods for
energy saving. Therefore, the PoliTO priorities in the energy action fields are twofold:
to reduce the energy demand as much as possible, while trying to pursue the principle