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Influence of occupants’ lighting preferences on energy consumption

Vittoria Camisassi

Influence of occupants’ lighting preferences on energy consumption.

Rel. Stefano Paolo Corgnati, Francesco Causone, Valentina Fabi, Rune Korsholm Andersen. Politecnico di Torino, Corso di laurea magistrale in Architettura Per Il Progetto Sostenibile, 2013


This Master Thesis Influence of occupants ' lighting preferences on energy consumption was developed to obtain a Master Degree in Architecture at thè Politecnico di Torino.

The project period started on thè lst of April and ended with thè submission on thè 13th of December 2013. The work corresponds to 20 CFU and it was partially carried out at thè Technical University of Denmark [DTU], Department of Civil Engineering and thè “Politecnico di Torino”.

I would like to take this opportunity to thank thè professors, my colleagues, friends and family who all supported me in accomplishing this assignment.

Firstly, I would like to express my gratitude to Stefano Paolo Corgnati who allowed me to participate in this experience and delve into an argument for which I care about and, last but not least, in transmitting his enthusiasm for research work.

During my period at DTU last summer, thè special international atmosphere at thè International Centre for Indoor Environment and Energy, carefully organized beneath thè care of Snjezana, and all thè “colleagues” - PhD students, professors, master students - stimulated me in my work. I must reserve a special and highly deserved thank you to Rune Andersen who, with great patience, accompanied me and helped me to overcome all my doubts and problems; so certainly without him I would not have completed this project.

I would also like to thank all thè people I got to know, as well as those I already knew, in Denmark who made my cold northern summer warm with their friendship. In particular, Valentina, who was my guide during my initial period at thè DTU and has accompanied me with my Thesis every day up to thè present one.

On my return to Italy, huge thanks must go to Valentina Fabi, for her consistent guidance and support, and to Francesco Causone as it was with their precious contribution I was able to finish this work.

Of course, a special thank you must be reserved for my family, who have always supported me in achieving my aims, and to Francesco who is a special and important presence in my life.

Finally thanks to all my friends, thè life-long ones who, despite now we are following different paths, are still very present; friends that I met during my Erasmus journey in Stockholm and then to all my Italian colleagues of thè fìrst year with whom I experienced university period, shared dreams and ambitions I wish we will accomplish. Finally and with a lot of affection, Cristina and Kai with whom I passed some very special moments as well as long sleepless nights.

Relators: Stefano Paolo Corgnati, Francesco Causone, Valentina Fabi, Rune Korsholm Andersen
Publication type: Printed
Subjects: S Scienze e Scienze Applicate > SH Fisica tecnica
Corso di laurea: Corso di laurea magistrale in Architettura Per Il Progetto Sostenibile
Classe di laurea: UNSPECIFIED
Aziende collaboratrici: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/3339

1. Research framework

1.1 Background

1.1.1 Buildings’ energy consumption

1.1.2 Mind thè Gap: prevision VS reality in energy consumption

1.1.3 Influence of occupants’ behaviour: actors rather than occupants

1.2 Energy-related occupants’ behaviour

1.2.1 Understanding occupants’ behaviour: simplifying thè complexity

1.2.2 Modelling occupant behaviours:

deterministic approach VS stochastic approach

1.3 Objectives

2. Stochastic approach for occupants’ behaviour

2.1 Methodology: From reality to predicted energy consumption back to reality

2.2 Database: defìnition and collection of thè hypothetical drivers

2.3 Statistical analysis

2.3.1 Different approaches

2.3.2 Deepening logistic regression: Variable selection and goodness-of-fìt

2.3.3 Validation

2.4 Implementation and simulation in energy software

3. Application: modelling and simulating occupants’ actions over

artifìcial lighting

3.1 PAPER I: Literature review of occupants’ lighting behaviour

3.2 PAPER II: light-switch stochastic modelling:

application to an office building in Prague

3.3 PAPER III: Application of users’ light-switch stochastic models to

dynamic energy simulation

4. Conclusive thinking

4.1 Mind thè gap in communication

4.2 Robustness in building design

4.3 Conclusion

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