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Energy and environmental assessment of building stocks

01UHWIV

A.A. 2019/20

Course Language

Inglese

Course degree

Doctorate Research in Energetica - Torino

Course structure
Teaching Hours
Lezioni 15
Teachers
Teacher Status SSD h.Les h.Ex h.Lab h.Tut Years teaching
Ballarini Ilaria Professore Associato ING-IND/11 7,5 0 0 0 3
Teaching assistant
Espandi

Context
SSD CFU Activities Area context
*** N/A ***    
2019/20
PERIOD: SEPTEMBER Existing building stocks are composed, for the most part, of buildings with poor energy performance. They represent a high potential for energy and environmental savings, that can be effectively achieved through deep knowledge and proper modelling of the energy performance. The course is aimed at presenting methods and procedures for the energy and environmental assessment of building stocks and to estimate the effect of refurbishment measures. Different energy performance modelling techniques are concerned, including engineering (e.g. building physics based methods using reference buildings) and data driven (e.g. inverse modelling and data mining based techniques) approaches. Examples of the presented techniques will be provided as well as the results of their application in real building stocks. A specific focus will be addressed to the definition of the European residential building typologies developed in the IEE-TABULA research project.
PERIOD: SEPTEMBER Existing building stocks are composed, for the most part, of buildings with poor energy performance. They represent a high potential for energy and environmental savings, that can be effectively achieved through deep knowledge and proper modelling of the energy performance. The course is aimed at presenting methods and procedures for the energy and environmental assessment of building stocks and to estimate the effect of refurbishment measures. Different energy performance modelling techniques are concerned, including engineering (e.g. building physics based methods using reference buildings) and data driven (e.g. inverse modelling and data mining based techniques) approaches. Examples of the presented techniques will be provided as well as the results of their application in real building stocks. A specific focus will be addressed to the definition of the European residential building typologies developed in the IEE-TABULA research project.
• Techniques for the building stock modelling – engineering models, inverse models (empirical methods and unsupervised and supervised data mining techniques). • Cluster analysis procedures to identify specific subsets of the building stock. • Definition of building typologies and reference buildings: real example buildings, archetypes. • Simulation tools for the energy and environmental assessment of building stocks. • Examples of energy balance of building stocks.
• Techniques for the building stock modelling – engineering models, inverse models (empirical methods and unsupervised and supervised data mining techniques). • Cluster analysis procedures to identify specific subsets of the building stock. • Definition of building typologies and reference buildings: real example buildings, archetypes. • Simulation tools for the energy and environmental assessment of building stocks. • Examples of energy balance of building stocks.
- 18/09, 14:00-15:30 - 21/09, 09:30-12:30 - 22/09, 09:30-11:00, 14:00-15:30 - 23/09, 09:30-11:00 - 24/09, 09:30-12:30 - 25/09, 09:30-12:30 Il corso si terrà interamente su Virtual Classroom.
- 18/09, 14:00-15:30 - 21/09, 09:30-12:30 - 22/09, 09:30-11:00, 14:00-15:30 - 23/09, 09:30-11:00 - 24/09, 09:30-12:30 - 25/09, 09:30-12:30 Il corso si terrà interamente su Virtual Classroom.
Modalità di esame:
Exam:
Gli studenti e le studentesse con disabilità o con Disturbi Specifici di Apprendimento (DSA), oltre alla segnalazione tramite procedura informatizzata, sono invitati a comunicare anche direttamente al/la docente titolare dell'insegnamento, con un preavviso non inferiore ad una settimana dall'avvio della sessione d'esame, gli strumenti compensativi concordati con l'Unità Special Needs, al fine di permettere al/la docente la declinazione più idonea in riferimento alla specifica tipologia di esame.
Exam:
In addition to the message sent by the online system, students with disabilities or Specific Learning Disorders (SLD) are invited to directly inform the professor in charge of the course about the special arrangements for the exam that have been agreed with the Special Needs Unit. The professor has to be informed at least one week before the beginning of the examination session in order to provide students with the most suitable arrangements for each specific type of exam.
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