The atelier focuses on the decision-making process in the context of societal transition. It introduces the challenge of sustainable communities posed by United Nations Agenda 2030 Sustainable Development Goals (SDG 11) and it illustrates from a theoretical and practical viewpoint the main assessment and management methods and tools in support of complex and 'wicked' problems related to energy transition. Specific attention is paid to systemic and multidisciplinary approaches. All theoretical topics are intertwined with workshops and interactive sessions carried out within smaller groups of students. The university campus and urban districts are used as demonstrators and virtual laboratories, to visualize the practical impact of the decision-making processes studied at the urban district level.
The atelier explores the decision-making processes involved in the societal energy transition, with a particular focus on building sustainable post-carbon communities in line with the United Nations 2030 Agenda—specifically Sustainable Development Goals 7 (Affordable and Clean Energy) and 11 (Sustainable Cities and Communities). It offers both theoretical foundations and practical insights into primary assessment and evaluation methods, including the Sustainable Neighborhood and Building assessment tool, to tackle complex and wicked problems associated with the energy transition. Emphasis is placed on systemic and multidisciplinary approaches to modeling energy consumption and production, leveraging locally available renewable resources through place-based evaluation analyses. All theoretical content is reinforced through workshops and interactive sessions conducted in small student groups. Urban districts and university campuses serve as demonstrators and virtual laboratories, enabling students to visualize and evaluate the real-world impact of decision-making processes at the urban and district scales. Within this course, students will develop the ability to evaluate projects by applying the full decision-making process. It offers a solid foundation in decision-making approaches related to energy and social transitions, with a particular emphasis on public administration.
At the end of the course students are able to:
- identify and analyze trade-offs and synergies between SDG 11, aimed at "Making cities and human settlements inclusive, safe, resilient and sustainable", and SDGs 7 “Affordable Clean Energy”. These two topics will be also connected to SDGs 12 (Circular economy) and 13 (Climate change). Thanks to system thinking approaches, students will be able to acquire capacity for viewing problems and human action as interconnected wholes and for understanding the (often lagged) feedback loops that may make complexity very difficult to address through the traditional, linear modeling processes;
- connect decision-making and sustainable urban development with the paradigm of complexity and interdisciplinary. Thanks to the illustration and application of methods and approaches based on environmental economics, multicriteria analysis and systems thinking, students will be able to understand the big picture around a problem and forecast its long-term evolution rather than concentrating on specific, short-term cause-effect relationships;
- understand and connect scientific knowledge with decision-making problems at urban district level, by means of a rigorous definition of sustainability challenges in terms of measurable levels and flows of common resources (such as air quality) and an ability to build mental models of the complex net of cause-effect relationships that revolve around such common resources;
- analyze the pros and cons of alternatives towards sustainable communities, using the evaluation methods illustrated in this course;
- apply in real case studies sustainable development actions thanks to the interactive workshops applied during the class.
At the end of the course, students will be able to:
- Analyze trade-offs and synergies among key Sustainable Development Goals (SDGs)—particularly SDG 11 ("Sustainable Cities and Communities") and SDG 7 ("Affordable and Clean Energy")—through the lens of decision-making, applying systems and design thinking to deepen their understanding.
- Model urban energy dynamics, including building energy consumption and the effects of energy efficiency measures, while identifying local renewable energy resources and estimating their production potential at the territorial scale.
- Evaluate sustainable development quantitatively by calculating key energy-related indicators and indexes to assess sustainability at urban and regional levels.
- Learn project cycle management by formulating problems and objectives, and engaging stakeholders effectively throughout the process.
- Apply interdisciplinary methods to real-world decision-making, utilizing measurable indicators (e.g., air quality, energy use, green area), design thinking, and participatory approaches to define and address urban sustainability challenges.
- Define sustainable development strategies through interactive workshops and case studies, integrating multicriteria decision-making, stakeholder engagement, and digital tools to select and justify sustainable urban scenarios.
- Evaluate projects comprehensively and develop future scenarios to support informed decision-making using methods such as AHP and PROMETHEE.
A basic GIS knowledge and Agenda 2030 (on-line free course available on the portal) are the only pre-requirements.
The only prerequisites are basic GIS knowledge and familiarity with the Agenda 2030, which can be acquired through a free online course available on the portal.
The Atelier includes three main themes with sub-themes as follows:
ENERGY TRANSITION AND ENERGY MODELING
• Energy challenges in urban context
• Energy modelling of buildings at urban scale
• Energy atlases and open databases
• Energy efficiency measures
• Renewable energy technologies
• Self-consumption and energy independence communities
PROJECT CYCLE ANALYSIS AND EVALUATION METHODS
• Project cycle management/SWOT analysis/Stakeholders analysis
• Cost Benefit Analysis, Environmental Economics
• Multi attribute Utility and Multi Criteria Evaluation
• Environmental rating protocols (e.g. LEED, Itaca, etc.)
SYSTEM THINKING APPROACHES, DYNAMIC SPATIAL DECISION SUPPORT SYSTEMS
• System thinking, Scenario workshops and Storytelling methods
• Multicriteria GIS-based theories and application
The three blocs will include interactive laboratories and workshops where students have the opportunity to apply the theories presented in each part.
I. THEORIES | Sustainability Theories and Applications
- Energy transition and modeling
- Energy challenges in urban contexts
- Urban building energy modeling with a place-based approach
- Energy atlases and open databases
- Energy efficiency measures
- Renewable energy technologies
- Energy self-consumption and self-sufficiency
- Urban resilience and rural regeneration
- Environmental rating protocols (e.g., SN Tool, SB Tool)
- Sustainable development and planning
-Multicriteria Analysis (MCA)
II. PROJECT | Evaluation Methods to Support Decision-Making Processes
- Project cycle management, SWOT analysis, and stakeholder analysis
- Multi-criteria evaluation, indicator selection, and weighting
- Design thinking and participatory approaches for sustainable communities
- Systems thinking, co-design scenarios, and scenario analysis
- Interactive Spatial Decision Support Systems and GIS-based applications
- Evaluation tools, methods, and protocols
- Digital decision-making dashboards
- Multicriteria Analysis (MCA)
Due to the nature of the Atelier, a support in the interactive workshop development from 2 external collaborators is required.
Previous students are required to follow the current year’s course content and topics for their examination.
The structure of the course requires: 60 h of face-to-face theories and 60 h of exercise and application in classroom, including students group interacting workshops supported by lecturer collaborators. This learning approach and structure will be also possible in case of distance learning, by using on-line BBB platform opening a number of virtual rooms where students can interact and provide results which will discuss during plenary session.
The course consists of 60 hours of face-to-face theoretical instruction complemented by 60 hours of practical exercises and classroom applications, including interactive workshops led by collaborating lecturers. Throughout the course, students will engage in individual and group presentations, hands-on exercises, and workshops, culminating in a final assignment. The structure alternates dynamically between instructor-led lectures and interactive discussions to foster active engagement and deepen understanding of key concepts and approaches. Additionally, the course features seminars delivered by guest speakers and subject matter experts, providing diverse perspectives and enriching the learning experience.
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• European Environment Agency (2013), Achieving energy efficiency through behaviour change. https://www.eea.europa.eu/publications/achieving-energy-efficiency-through-behaviour . Accessed July 2019.
• JRC, Photovoltaic Geographical Information System (PVGIS), https://ec.europa.eu/jrc/en/pvgis
• Lombardi P., F. Abastante, S.T. Moghadam (2017), Multicriteria spatial decision support systems for future urban energy retrofitting scenarios, Sustainability 10.3390/su9071252.
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• Mutani, G., Todeschi, V., Building Energy Modeling at Neighborhood Scale, Energy Efficiency, Volume 13, Issue 5, June 2020, Springer Ed., DOI 10.1007/s12053-020-09882-4.
• Nazem, S., Bruni, V., Fabris, E., Marcus, A., Melis, B., Roccella, G. (2020), Building Communities Through Digital Data Sharing, Springer.
• Serge Salat, Françoise Labbe and Caroline Nowacki 2011. Cities and Forms. On Sustainable Urbanism, Hermann.
• Todeschi, V., Mutani, G., Baima, L., Nigra, M., Robiglio, M., Smart Solutions for Sustainable Cities—The Re-Coding Experience for Harnessing the Potential of Urban Rooftops, Applied Science, Special Issue Building Physics and Building Energy Systems, Vol. 10, 7112, 2020, pp. 1-27; doi:10.3390/app10207112.
• Torabi Moghadam, S., Delmastro, C., Corgnati, S.P, Lombardi, P. (2017), Urban energy planning procedure for sustainable development in the built environment: A review of available spatial approaches, Journal of Cleaner Production, vol. 165, pp. 811-827. doi: 10.1016/j.jclepro.2017.07.142.
• Torabi Moghadam, S., Lombardi, P. (2019), An interactive multi-criteria spatial decision support system for energy retrofitting of building stocks using CommuntiyVIZ to support urban energy planning, Building and Environment, vol. 163, pp. 106-233. doi: 10.1016/j.buildenv.2019.106233
• World Economic Forum (2019), Making Affordable Housing a Reality in Cities, WEF Report. https://www.weforum.org/whitepapers/making-affordable-housing-a-reality-in-cities. Accessed Novembre 2019.
- AA.VV., Solar Portal of Turin Metropolitan City, http://www.provincia.torino.gov.it/speciali/2013/portale_solare/; http://www.cittametropolitana.torino.it/cms/ambiente/risorse-energetiche/osservatorio-energia/portale-solare
- Albino, V., Berardi, U., Dangelico, R.M. (2015), Smart Cities: Definitions, Dimensions, Performance, and Initiatives, Journal of Urban Technology, vol. 22, issue 1, pp. 3-21. doi: 10.1080/10630732.2014.942092.
- Brandon P.S., Lombardi P., Evaluating Sustainable Development in the Built Environment, II Edition, Wiley-Blackwell, Hoboken (USA) 2005, pp. 272, (II edition 2011)
- COOP AFRICA, Project Design Manual. A Step-by-Step Tool to Support the Development of Cooperatives and Other Forms of Self-Help Organization, International Labour Organization, I.L.O., Genève, 2010, (web pdf)
- Dente B., Understanding Policy decisions, Editore: Springer Cham, Anno edizione: 2013
- EC (2015). Towards an EU research and innovation policy agenda for nature-based solutions and re- naturing cities. Final Report of the Horizon 2020 expert group on nature-based solutions and re- naturing cities. European Commission, Brussels.
- EC (2021). Evaluating the Impact of Nature-based Solutions: A Handbook for Practitioners. European Commission, Brussels. ISBN 978-92-76-22821-9.
- European Environment Agency (2013), Achieving energy efficiency through behaviour change. https://www.eea.europa.eu/publications/achieving-energy-efficiency-through-behaviour . Accessed July 2019.
- Figueria J., Greco S., Ehrgott M. (eds), Multiple Criteria Decision Analysis. State of the Art, Springer, Berlin 2010
- Fregonara E., “Evaluation, sustainability, project. Life Cycle Thinking and international orientations”, Milano, Franco Angeli, 2017 (English version: e_book available on-line
- J.R Escorcia Hernández, S. Torabi Moghadam, P. Lombardi. (2023). Sustainability Assessment in Social Housing Environments: An Inclusive Indicators Selection in Colombian Post-Pandemic Cities, Journal of Sustainability, MDPI, 15(3), 2830, https://dx.doi.org/10.3390/su15032830
- JRC, Photovoltaic Geographical Information System (PVGIS), https://ec.europa.eu/jrc/en/pvgis
- Lombardi P, Abastante F., Torabi Moghadam S., Toniolo J., Multicriteria Spatial Decision Support Systems for Future Urban Energy Retrofitting Scenarios. Sustainability, 2017, vol. 9, n. 7. pp. 1-13. ISSN 2071. doi: 1050, 10.3390/su9071252.
- Lombardi P., S Giordano, H Farouh, W Yousef (2012), Modelling the smart city performance, Innovation: The European Journal of Social Science Research 25 (2), 137-14
- M. Pignatelli, S. Torabi Moghadam, C. Genta, P. Lombardi (2023). Spatial decision support system for low-carbon sustainable cities development: An interactive storytelling dashboard for the city of Turin, Journal of Sustainable Cities and Society, Elsevier, https://doi.org/10.1016/j.scs.2022.104310
- McKinsey Global Institute (2018), Smart cities: digital solutions for a more livable future. mckinsey.com/mgi. Accessed June 2019.
- Mutani, G., Beltramino, S., Forte, A., A Clean Energy Atlas for Energy Communities in Piedmont Region (Italy), International Journal of Design & Nature and Ecodynamics, Vol. 15, No. 3, 2020, pp. 343-353, DOI 10.18280/ijdne.150308).
- Mutani G., Vocale P. and Javanroodi K. Toward Improved Urban Building Energy Modeling Using a Place-Based Approach, Energies, 16, 3944, 2023, pp.1-17, DOI: 10.3390/en16093944.
- Mutani G., V. Todeschi V. Optimization of Costs and Self-Sufficiency for Roof Integrated Photovoltaic Technologies on Residential Buildings, Energies, Volume 14 (13), 4018, pp. 1-25, 2021, 10.3390/en14134018.
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- Mutani, G., Todeschi, V., Beltramino, S., Energy consumption models at urban scale to measure energy resilience, Sustainability - Bridging the Gap: The Measure of Urban Resilience, Sustainability 2020, 12 (14), 5678, pp.1-31; DOI:10.3390/su12145678.
- Mutani, G., Todeschi, V., Building Energy Modeling at Neighborhood Scale, Energy Efficiency, Volume 13, Issue 5, June 2020, Springer Ed., DOI 10.1007/s12053-020-09882-4.
- Nazem, S., Bruni, V., Fabris, E., Marcus, A., Melis, B., Roccella, G. (2020), Building Communities Through Digital Data Sharing, Springer.
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- Todeschi, V., Mutani, G., Baima, L., Nigra, M., Robiglio, M., Smart Solutions for Sustainable Cities—The Re-Coding Experience for Harnessing the Potential of Urban Rooftops, Applied Science, Special Issue Building Physics and Building Energy Systems, Vol. 10, 7112, 2020, pp. 1-27; doi:10.3390/app10207112.
- Torabi Moghadam, S., Delmastro, C., Corgnati, S.P, Lombardi, P. (2017), Urban energy planning procedure for sustainable development in the built environment: A review of available spatial approaches, Journal of Cleaner Production, vol. 165, pp. 811-827. doi: 10.1016/j.jclepro.2017.07.142.
- Torabi Moghadam, S., Lombardi, P. (2019), An interactive multi-criteria spatial decision support system for energy retrofitting of building stocks using CommuntiyVIZ to support urban energy planning, Building and Environment, vol. 163, pp. 106-233. doi: 10.1016/j.buildenv.2019.106233
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- Maurizia Pignatelli; Sara Torabi Moghadam; Chiara Genta; Patrizia Lombardi (2023), Spatial decision support system for low-carbon sustainable cities development: An interactive storytelling dashboard for the city of Turin
Dispense; Esercizi;
Lecture notes; Exercises;
Modalità di esame: Prova scritta (in aula); Prova orale obbligatoria; Elaborato progettuale in gruppo;
Exam: Written test; Compulsory oral exam; Group project;
...
The assessment is expressed in 30/30 marks and the criteria guiding the evaluation are the followings: a) comprehension of the topics; b) ability to present adequately the topic; c) ability to understand the implications of real-world case studies and the connections with other topics.
The exams is consisting of three mandatory parts as follows.
1. An individual written test, which will be multiple choices. The weight of this written test is 1/3 of the total.
2. An oral exam for each group presenting the workshop's results and exercises. The portfolio includes all workshop results and classroom exercises. The weight of this oral test is 2/3 of the total.
The written exams will focus on the theoretical approaches and methodologies illustrated in the three modules.
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: Written test; Compulsory oral exam; Group project;
The assessment is graded out of 30 points, based on the following criteria:
a) Understanding of the course topics
b) Ability to effectively present the material
c) Capacity to analyze real-world case studies and connect them with other topics
The examination consists of two mandatory components:
-Written Test: An individual written exam consisting of multiple-choice questions, accounting for 30% of the final grade.
-Oral Exam and Portfolio of Exercises: An oral exam contributes 30% of the final grade and is combined with the portfolio evaluation, which accounts for 40%. The portfolio includes each group’s presentation and discussion of workshop results, exercises, and theoretical content. It encompasses all deliverables from workshops and classroom activities.
-Students must achieve a minimum score of 18 out of 30 on both exams to pass.
-Exercises constitute 50% of the final grade.
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.