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Dive into the research topics where Gerardo Maria Mauro is active.

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Featured researches published by Gerardo Maria Mauro.


Archive | 2018

5.21 Energy Management in Hospitals

F. Ascione; Nicola Bianco; Claudio De Stasio; Gerardo Maria Mauro; Giuseppe Peter Vanoli

Hospitals are complex structures that require the highest energy intensity of the building sector. Thus, in both cases of new construction and retrofit, their proper energy design and management are a critical issue, because these must consider all levers of energy performance, from the building envelope to the operation and efficiency of energy systems. Furthermore, different objective functions to minimize can be pursued, for example, energy consumption, thermal discomfort, lifecycle costs, and polluting emissions. Definitely, comprehensive approaches are required to address the aforementioned issues. The chapter provides an overview of these approaches by showing the application to different case studies.


Archive | 2017

Artificial Neural Networks for Predicting the Energy Behavior of a Building Category

Fabrizio Ascione; Nicola Bianco; R.F. De Masi; C. De Stasio; Gerardo Maria Mauro; Giuseppe Peter Vanoli

Abstract The reliable assessment of building energy performance requires significant computational times. The chapter handles this issue by proposing an original methodology that employs artificial neural networks (ANNs) to predict the energy behavior of all buildings of an established category. The ANNs are generated in MATLAB by using EnergyPlus simulations for testing and training purposes. The inputs are properly set by means of a thorough preliminary sensitivity analysis. The final aim is a reliable assessment of the global cost for space conditioning as well as of the potential global cost savings produced by energy retrofit measures for each category’s building. The benefit is a huge reduction of computational times compared to standard reliable simulation tools. Definitely, this can support the diffusion of rigorous approaches for cost-optimal energy retrofits. Beyond the presentation of the methodology, this is applied to the office building stock of South Italy built in the period 1920–1970. The results show a high ANN reliability compared to EnergyPlus simulations, with regression coefficients ( R ) always higher than 0.98.


Cost-Effective Energy Efficient Building Retrofitting#R##N#Materials, Technologies, Optimization and Case Studies | 2017

Cost-Effective Refurbishment of Italian Historic Buildings

Fabrizio Ascione; Nicola Bianco; R.F. De Masi; Gerardo Maria Mauro; Giuseppe Peter Vanoli

Abstract This chapter investigates strategies for approaching the energy refurbishment of historic buildings, by proposing, beyond a general methodology aimed at guaranteeing feasibility of the design, its application to two cases studies in the context of South Italy, in a typical Mediterranean climate according to the Koppen classification. According to the latest international guidelines in matter of building energy efficiency and future trends, by 2020, a great effort should be applied to both new constructions and building refurbishments, to achieve goals of nearly zero-energy impacts or very low energy demand. Of course, the energy refurbishment of architectures characterized by historical or artistic values should not determine damage of the valuable peculiarities. In this study, by means of the proposed case studies, and thus an admirable Italian building, examples of an approach toward cost-effective and architecturally compatible actions are proposed, according to the European methodology of cost optimality. Moreover, by comparison with the feasible refurbishment of an existing building, the difference in energy retrofit designs of historical or modern edifices is evidenced. The proposed case studies are an educational ancient palace built beginning in the 12th century and, as an existing building, a railway station located in the same city. In both cases, replacement of components of thermal envelope and active energy systems will be applied, by evidencing that, based on the building peculiarities, technologies, architectural values, and kinds of loads, different boundary conditions imply different cost-optimal energy conservation measures.


Energy and Buildings | 2015

A new methodology for cost-optimal analysis by means of the multi-objective optimization of building energy performance

Fabrizio Ascione; Nicola Bianco; Claudio De Stasio; Gerardo Maria Mauro; Giuseppe Peter Vanoli


Energy and Buildings | 2015

A new methodology for investigating the cost-optimality of energy retrofitting a building category

Gerardo Maria Mauro; Mohamed Hamdy; Giuseppe Peter Vanoli; Nicola Bianco; Jan Hensen


Energy and Buildings | 2016

Simulation-based model predictive control by the multi-objective optimization of building energy performance and thermal comfort

Fabrizio Ascione; Nicola Bianco; Claudio De Stasio; Gerardo Maria Mauro; Giuseppe Peter Vanoli


Applied Energy | 2016

Multi-stage and multi-objective optimization for energy retrofitting a developed hospital reference building: A new approach to assess cost-optimality

Fabrizio Ascione; Nicola Bianco; Claudio De Stasio; Gerardo Maria Mauro; Giuseppe Peter Vanoli


Energy | 2017

Artificial neural networks to predict energy performance and retrofit scenarios for any member of a building category: A novel approach

Fabrizio Ascione; Nicola Bianco; Claudio De Stasio; Gerardo Maria Mauro; Giuseppe Peter Vanoli


Sustainability | 2015

Design of the Building Envelope: A Novel Multi-Objective Approach for the Optimization of Energy Performance and Thermal Comfort

Fabrizio Ascione; Nicola Bianco; Rosa Francesca De Masi; Gerardo Maria Mauro; Giuseppe Peter Vanoli


Applied Thermal Engineering | 2016

Multi-objective optimization of the renewable energy mix for a building

Fabrizio Ascione; Nicola Bianco; Rosa Francesca De Masi; Claudio De Stasio; Gerardo Maria Mauro; Giuseppe Peter Vanoli

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Nicola Bianco

University of Naples Federico II

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Fabrizio Ascione

University of Naples Federico II

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Claudio De Stasio

University of Naples Federico II

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Mohamed Hamdy

Eindhoven University of Technology

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Andrea Prota

University of Naples Federico II

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Costantino Menna

University of Naples Federico II

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Domenico Asprone

University of Naples Federico II

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