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146 results on '"Masera, Gabriele"'

1. Evaluation of Land Use and Environmental Comfort in Reinventing Cities Competition: The Case of La Folie, Bobigny, France

Author

Paganelli, Gabriele, Misani, Camilla, Soffiantini, Letizia, Masera, Gabriele, Pittau, Francesco, Sugoni, Giorgia, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Gervasi, Osvaldo, editor, Murgante, Beniamino, editor, Garau, Chiara, editor, Taniar, David, editor, C. Rocha, Ana Maria A., editor, and Faginas Lago, Maria Noelia, editor

Published
2024
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2. Technology to Build Architecture: Application of Adaptive Facade on a New Multifunctional Arena

Author

Annibale, Alessandra, Chiesa, Emily, Prelli, Giulia, Masera, Gabriele, Kindinis, Andrea, Lapertot, Arnaud, Allegri, Davide, Zani, Giulio, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Ben Ahmed, Mohamed, editor, Boudhir, Anouar Abdelhakim, editor, El Meouche, Rani, editor, and Karaș, İsmail Rakıp, editor

Published
2024
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4. Urban Morphology, Environmental Performance and Energy Use: Holistic Transformation of Porto di Mare as Eco-District Via IMM

Author

Biraghi, Carlo Andrea, Mauri, Tommaso, Mazzucchelli, Maria Coraly, Sala, Elena, Tadi, Massimo, Masera, Gabriele, Pisello, Anna Laura, Editorial Board Member, Hawkes, Dean, Editorial Board Member, Bougdah, Hocine, Editorial Board Member, Rosso, Federica, Editorial Board Member, Abdalla, Hassan, Editorial Board Member, Boemi, Sofia-Natalia, Editorial Board Member, Mohareb, Nabil, Editorial Board Member, Mesbah Elkaffas, Saleh, Editorial Board Member, Bozonnet, Emmanuel, Editorial Board Member, Pignatta, Gloria, Editorial Board Member, Mahgoub, Yasser, Editorial Board Member, De Bonis, Luciano, Editorial Board Member, Kostopoulou, Stella, Editorial Board Member, Pradhan, Biswajeet, Editorial Board Member, Abdul Mannan, Md., Editorial Board Member, Alalouch, Chaham, Editorial Board Member, O. Gawad, Iman, Editorial Board Member, Nayyar, Anand, Editorial Board Member, Amer, Mourad, Series Editor, Piselli, Cristina, editor, Altan, Haşim, editor, Balaban, Osman, editor, and Kremer, Peleg, editor

Published
2022
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7. Leveraging Machine Learning to Forecast Neighborhood Energy Use in Early Design Stages: A Preliminary Application.

Author

di Stefano, Andrea Giuseppe, Ruta, Matteo, Masera, Gabriele, and Hoque, Simi

Subjects
SUSTAINABLE design, CLIMATIC zones, ARCHITECTURAL design, ENERGY industries, NEIGHBORHOODS
Abstract

The need for energy efficiency in neighborhood-scale architectural design is driven by environmental imperatives and escalating energy costs. This study identifies three key phases in a design process framework where machine learning can be applied to optimize energy consumption in early design stages. The overall framework integrates machine learning tools into the design workflow, enhancing design exploration from concept level and enabling targeted energy assessments. This paper focuses on the first phase (Phase 1) of the framework, which employs machine learning for building energy forecasting using only the few inputs available in a business-as-usual early-stage design workflow. The CatBoost model was selected for its high accuracy in predicting energy consumption using minimal input data. A preliminary application to a case study in New York City showed high predictive accuracy while reducing the input needed, with R2 scores of 0.88 for both cross-validation and test datasets. Shapely additive explanation analysis validated the selection of key influencing parameters such as building area, principal building activity, and climate zones. The test demonstrated discrepancies between the test data-driven model and a physics-based energy model values ranging from −8.69% to 11.04%, which can be considered an acceptable result in early-stage design. The remaining two phases, though outside the scope of this study, are introduced at a conceptual level to provide an overview of the full framework. Phase 2 will analyze building shape and elevation, assessing the total energy use intensity, while Phase 3 will apply district-level energy optimization across interconnected buildings. The findings from Phase 1 underscore the potential of machine learning to integrate energy efficiency considerations into neighborhood-scale design from the earliest stages, providing reliable predictions that can inform sustainable design. [ABSTRACT FROM AUTHOR]

Published
2024
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8. Methodologies for assessing building embodied carbon in a circular economy perspective

Author

Li Yangxiaoxia and Masera Gabriele

Subjects
Environmental sciences, GE1-350
Abstract

The global warming effect represents an increasingly severe environmental issue in the contemporary world, with the construction industry contributing up to 40% of greenhouse gas emissions. Therefore, as advancements in technology have enabled the realization of net-zero energy buildings, there has recently been a growing focus on research primarily aimed at reducing the embodied carbon (EC) of building materials. Assessment and calculation of EC emissions in buildings typically utilize life cycle assessment (LCA) methodologies, evaluating both direct and indirect carbon emissions throughout all stages, from raw material extraction to end-of-life demolition. However, the substantial potential of carbon reduction within the material beyond life cycle stage in the building, which is the decisive process of closing the loop of circular economy, is often overlooked. This paper examines a large number of research cases on EC in buildings over the past 20 years, selectively identifying those including the benefits beyond life cycle of buildings. By conducting a case-by-case analysis of methods and tools employed for the assessment of circular practices, their respective strengths, weaknesses, and variances are evaluated. Following the normalization of EC in phase A-D, a significant research finding revealing that buildings can offset an average of -113.9 kg CO2e/m2 of carbon emissions through recycling and reuse in phase D, accounting for 16.85% of the total EC assessed in LCA. Steel recycling offsets the highest amount of carbon emissions, with an average number of -183.86 kg CO2e/m2. The objective of this paper is to identify the key factors that influence carbon emissions in the circular economy and to identify methods and tools for integrating building materials at the early design stage to minimize EC emissions throughout the entire lifecycle of buildings.

Published
2024
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9. From Local Modifications in Selected Pilot Areas to System-Wide Improvements: Transformation Strategies and Retrofitting Procedures According to the Integrated Modification Methodology

Author

Masera, Gabriele, Tadi, Massimo, Zadeh, Mohammad Hadi, Bartezzaghi, Emilio, Series Editor, Bracchi, Giampio, Series Editor, Del Bo, Adalberto, Series Editor, Sagarra Trias, Ferran, Series Editor, Stellacci, Francesco, Series Editor, Zio, Enrico, Series Editor, Masera, Gabriele, editor, and Tadi, Massimo, editor

Published
2020
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10. Analysis of the Systemic Arrangements of the Built Environment in the Rocinha Favela with the Integrated Modification Methodology’s Diagnostic Phase

Author

Zadeh, Mohammad Hadi, Masera, Gabriele, Tadi, Massimo, Bartezzaghi, Emilio, Series Editor, Bracchi, Giampio, Series Editor, Del Bo, Adalberto, Series Editor, Sagarra Trias, Ferran, Series Editor, Stellacci, Francesco, Series Editor, Zio, Enrico, Series Editor, Masera, Gabriele, editor, and Tadi, Massimo, editor

Published
2020
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11. The Rocinha Favela as a Paradigmatic Case Study of Informal Settlements in Large Cities: Current Situation and Past Slum-Upgrading Programmes

Author

Ceppi, Pietro, Masera, Gabriele, Tadi, Massimo, Rossi, A. M. Gabriella, Bartezzaghi, Emilio, Series Editor, Bracchi, Giampio, Series Editor, Del Bo, Adalberto, Series Editor, Sagarra Trias, Ferran, Series Editor, Stellacci, Francesco, Series Editor, Zio, Enrico, Series Editor, Masera, Gabriele, editor, and Tadi, Massimo, editor

Published
2020
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13. Bio-Based Materials for the Italian Construction Industry: Buildings as Carbon Sponges

Author

Carcassi, Olga Beatrice, De Angelis, Enrico, Iannaccone, Giuliana, Malighetti, Laura Elisabetta, Masera, Gabriele, Pittau, Francesco, Bartezzaghi, Emilio, Series Editor, Bracchi, Giampio, Series Editor, Del Bo, Adalberto, Series Editor, Sagarra Trias, Ferran, Series Editor, Stellacci, Francesco, Series Editor, Zio, Enrico, Series Editor, Della Torre, Stefano, editor, Cattaneo, Sara, editor, Lenzi, Camilla, editor, and Zanelli, Alessandra, editor

Published
2020
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14. PolimiparaRocinha: Environmental Performances and Social Inclusion—A Project for the Favela Rocinha

Author

Masera, Gabriele, Tadi, Massimo, Biraghi, Carlo, Zadeh, Hadi Mohammad, Bartezzaghi, Emilio, Series Editor, Bracchi, Giampio, Series Editor, Del Bo, Adalberto, Series Editor, Sagarra Trias, Ferran, Series Editor, Stellacci, Francesco, Series Editor, Zio, Enrico, Series Editor, Della Torre, Stefano, editor, Cattaneo, Sara, editor, Lenzi, Camilla, editor, and Zanelli, Alessandra, editor

Published
2020
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15. Solar Species: Energy Optimization of Urban Form Through an Evolutionary Design Process.

Author

Giostra, Simone, Kamalia, Ayush, and Masera, Gabriele

Abstract

This paper proposes design guidelines to enhance energy efficiency and energy generation potential in active solar buildings. Additionally, it presents a variety of optimized urban forms characterized by attributes such as shape, layout, and number of buildings on the plot. These urban configurations are classified into solar species, each associated with a distinct range of high passive and active solar potential. These results were achieved by developing and applying a simulation-driven, multi-objective optimization technique for the early-stage design of a residential building cluster in a temperate climate. This method leverages both passive and active energy indicators, employing a genetic algorithm to identify optimal forms that maximize active solar potential while also minimizing operational energy demand. The approach utilizes a parametric modelling routine that relies on vertical cores and horizontal connections to produce design iterations featuring irregular geometry, while ensuring structural continuity and means of egress. The findings reveal a significant variability in onsite energy generation, with optimized solutions differing by a factor of 2.5 solely based on shape, underscoring the critical role of active solar potential. Taken together, these results hint at the descriptive and predictive capabilities of these solar species, making them a promising heuristic model for characterizing urban form in relation to energy performance. [ABSTRACT FROM AUTHOR]

Published
2024
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28. Meeting Future Requirements

Author

Iannaccone, Giuliana, Imperadori, Marco, Masera, Gabriele, Pernici, Barbara, Series editor, Della Torre, Stefano, Series editor, Colosimo, Bianca M., Series editor, Faravelli, Tiziano, Series editor, Paolucci, Roberto, Series editor, Piardi, Silvia, Series editor, Iannaccone, Giuliana, Imperadori, Marco, and Masera, Gabriele

Published
2014
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29. Smart-ECO: A Real Vision for Energy Efficient Architecture Towards 2030

Author

Iannaccone, Giuliana, Imperadori, Marco, Masera, Gabriele, Pernici, Barbara, Series editor, Della Torre, Stefano, Series editor, Colosimo, Bianca M., Series editor, Faravelli, Tiziano, Series editor, Paolucci, Roberto, Series editor, Piardi, Silvia, Series editor, Iannaccone, Giuliana, Imperadori, Marco, and Masera, Gabriele

Published
2014
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30. Innovative Technological Solutions

Author

Iannaccone, Giuliana, Imperadori, Marco, Masera, Gabriele, Pernici, Barbara, Series editor, Della Torre, Stefano, Series editor, Colosimo, Bianca M., Series editor, Faravelli, Tiziano, Series editor, Paolucci, Roberto, Series editor, Piardi, Silvia, Series editor, Iannaccone, Giuliana, Imperadori, Marco, and Masera, Gabriele

Published
2014
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31. Holistic Design Applying Innovative Technologies

Author

Iannaccone, Giuliana, Imperadori, Marco, Masera, Gabriele, Pernici, Barbara, Series editor, Della Torre, Stefano, Series editor, Colosimo, Bianca M., Series editor, Faravelli, Tiziano, Series editor, Paolucci, Roberto, Series editor, Piardi, Silvia, Series editor, Iannaccone, Giuliana, Imperadori, Marco, and Masera, Gabriele

Published
2014
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34. Greenhouse Gas Emissions Forecasts in Countries of the European Union by Means of a Multifactor Algorithm

Author

Marotta, Antonio, Porras Amores, César, Rodríguez Sánchez, Antonio, Villoria Sáez, Paola, Masera, Gabriele, Marotta, Antonio, Porras Amores, César, Rodríguez Sánchez, Antonio, Villoria Sáez, Paola, and Masera, Gabriele

Abstract

A novel multifactor algorithm is developed with the aim of estimating GHG emissions in the EU countries and forecasting different future scenarios. This is created starting from (1) GDP, (2) population and (3) renewable energy share (RES). The determination coefficient (R2) of the multiple regression adopted reaches a value of 0.96; thus, only 4% of the GHG variation cannot be explained by the combination of the three variables. Germany is removed from the model after analysing the statistical outliers, as it presents an unusual behaviour within the European context. Also, France, Italy and Ireland are removed in the forecast analysis since they are characterised by corrected weighting values above the threshold value of the algorithm (0.156). The results show that GHG emissions decrease 14% in a low-growth-rate scenario, increase 24% in an average-growth scenario and increase 104% in a high-growth-rate scenario. Countries that improve the most are the ones that are currently underdeveloped in RES and are expected to decrease their population in the future (Croatia, Latvia, Cyprus and Greece). Other countries currently well positioned but with expected population growth (Sweden, Luxemburg and Denmark) or with expected intense GDP growth (Estonia and Malta) may lack decarbonisation levers. Therefore, policy makers should introduce additional subsidy schemes and tax exemptions in both developed and less developed countries to meet EU decarbonisation targets.

Published
2023

45. The Development of a BIM-Based Interoperable Toolkit for Efficient Renovation in Buildings: From BIM to Digital Twin

Author

Daniotti, Bruno, primary, Masera, Gabriele, additional, Bolognesi, Cecilia Maria, additional, Lupica Spagnolo, Sonia, additional, Pavan, Alberto, additional, Iannaccone, Giuliana, additional, Signorini, Martina, additional, Ciuffreda, Simone, additional, Mirarchi, Claudio, additional, Lucky, Meherun, additional, and Cucuzza, Marco, additional

Published
2022
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47. Errata to: Smart-ECO Buildings Towards 2020/2030

Author

Iannaccone, Giuliana, Imperadori, Marco, Masera, Gabriele, Pernici, Barbara, Series editor, Della Torre, Stefano, Series editor, Colosimo, Bianca M., Series editor, Faravelli, Tiziano, Series editor, Paolucci, Roberto, Series editor, Piardi, Silvia, Series editor, Iannaccone, Giuliana, Imperadori, Marco, and Masera, Gabriele

Published
2014
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48. Integrated Workflow Development for Data-Driven Neighborhood-Scale Building Performance Simulation

Author

di Stefano, Andrea Giuseppe, Ruta, Matteo, Masera, Gabriele, and Hoque, Simi

Abstract

As urbanization intensifies, cities are key contributors to energy consumption and carbon emissions, accounting for a significant portion of global energy use and CO2 emissions. This paper introduces a systematic approach to support the development of urban projects with minimized operational carbon footprints through the integration of data-driven building performance simulation (BPS) tools in early-stage design. Emphasizing the necessity for a collaborative effort among designers, policymakers, and other stakeholders, we discuss the evolution of BPS toward incorporating data-driven tools for energy need reduction and informed decision-making. Despite the proliferation of modeling methods and data-related challenges, we present a theoretical workflow, supported by interactions with design firms in the US and European Union (EU) through interviews. This structured approach, demonstrating adaptability and scalability across urban contexts, foregrounds the potential for future data-driven integration in design practices. Grounded in theoretical concepts and preliminary real-world insights, our work emphasizes the transformation of standard activities toward data-driven processes, showcasing the crucial role of practical experience in advancing sustainable, low-carbon urban development.

Published
2025
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50. Workshop: BIM4EEB: A BIM-Based Toolkit for Efficient rEnovation in Buildings

Author

Daniotti, Bruno, primary, Masera, Gabriele, additional, Bolognesi, Cecilia Maria, additional, Spagnolo, Sonia Lupica, additional, Pavan, Alberto, additional, Iannaccone, Giuliana, additional, Signorini, Martina, additional, Ciuffreda, Simone, additional, Mirarchi, Claudio, additional, Lucky, Meherun, additional, Cucuzza, Marco, additional, Andersson, M. Ed. Birgitta, additional, Andersson, B.Sc. Per, additional, Valra, Alessandro, additional, Madeddu, Davide, additional, Chiappetti, Jacopo, additional, Farina, Diego, additional, Törmä, Seppo, additional, Kiviniemi, Markku, additional, Lavikka, Rita, additional, Kousouris, Spiros, additional, Tsatsakis, Kostas, additional, Shemeikka, Jari, additional, Vesanen, Teemu, additional, Hasan, Ala, additional, Mätäsniemi, Teemu, additional, O’Regan, Brian, additional, O’Leidhin, Eoin, additional, Tahir, Farah, additional, Mould, Karen, additional, O’Donovan, Stephen, additional, O’Sullivan, Sinead, additional, Hryshchenko, Andriy, additional, and O’Sullivan, Dominic, additional

Published
2021
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