A critical step toward energy transition and the decarbonization of the built environment lies in defining and characterizing Positive Energy Districts (PEDs). The multidisciplinary nature of PEDs, rooted in sustainability principles and urban planning frameworks, underscores the need to integrate diverse sys tems and infrastructures, while adopting a holistic and comprehensive approach to address all aspects of PED implementation. This study employs Multi-Attribute Decision Making (MADM) model to compile, integrate, and evaluate the key indicators and factors essential for identifying neighborhoods suitable for trans formation into Positive Energy Districts. The University of Palermo was chosen to validate the developed KPI framework and provide input for the MADM model to generate renovation scenarios. The MADM model was used to evaluate and rank alternatives, with two simulations confirming its effectiveness. Consequently, Car Parking with Photovoltaic Roof and Roof-mounted Photovoltaics ranked among the top scenarios.
Hosseinalizadeh, S., Cellura, S., Ilardi, L., Di Pilla, L., Cellura, M., Longo, S., et al. (2026). Towards a Holistic Definition for Positive Energy Districts: A Decision Support System for the Renovation of Neighborhoods. In Proceedings of the 15th Proceedings of the 15th REHVA HVAC World Congress - CLIMA 2025 - Volume 3 (pp. 515-524). Springer [10.1007/978-3-032-10546-2_48].
Towards a Holistic Definition for Positive Energy Districts: A Decision Support System for the Renovation of Neighborhoods
Saghar Hosseinalizadeh;Lorenzo Ilardi;Lorenza Di Pilla;Maurizio Cellura;Sonia Longo;Francesco Guarino
2026-04-18
Abstract
A critical step toward energy transition and the decarbonization of the built environment lies in defining and characterizing Positive Energy Districts (PEDs). The multidisciplinary nature of PEDs, rooted in sustainability principles and urban planning frameworks, underscores the need to integrate diverse sys tems and infrastructures, while adopting a holistic and comprehensive approach to address all aspects of PED implementation. This study employs Multi-Attribute Decision Making (MADM) model to compile, integrate, and evaluate the key indicators and factors essential for identifying neighborhoods suitable for trans formation into Positive Energy Districts. The University of Palermo was chosen to validate the developed KPI framework and provide input for the MADM model to generate renovation scenarios. The MADM model was used to evaluate and rank alternatives, with two simulations confirming its effectiveness. Consequently, Car Parking with Photovoltaic Roof and Roof-mounted Photovoltaics ranked among the top scenarios.| File | Dimensione | Formato | |
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