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Your search keyword '"Ascione, Fabrizio"' showing total 25 results
Start Over Author "Ascione, Fabrizio" Journal energy and buildings
25 results on '"Ascione, Fabrizio"'

24. Energy retrofit of educational buildings: Transient energy simulations, model calibration and multi-objective optimization towards nearly zero-energy performance

Author

Giuseppe Peter Vanoli, Rosa Francesca De Masi, Gerardo Maria Mauro, Nicola Bianco, Fabrizio Ascione, Ascione, Fabrizio, Bianco, Nicola, De Masi, Rosa Francesca, Mauro, GERARDO MARIA, and Vanoli, Giuseppe Peter

Subjects
Engineering, Primary energy, 020209 energy, Building energy retrofit, 02 engineering and technology, 010501 environmental sciences, 01 natural sciences, Energy engineering, Civil engineering, Educational building, 0202 electrical engineering, electronic engineering, information engineering, Energy supply, Electrical and Electronic Engineering, 0105 earth and related environmental sciences, Civil and Structural Engineering, Educational buildings, business.industry, Mechanical Engineering, Building and Construction, Cost-optimal analysis, Environmental economics, Energy accounting, Renewable energy, Multi-objective optimization, Energy conservation, Genetic algorithm, Energy modelling and model calibration, business, Building envelope, Efficient energy use
Abstract

Building activity is the sector that affects for the most part the anthropogenic climate change. Indeed, even if differences can be found among countries, according to the level of development and climates, buildings require about 30–40% of the overall energy demand, with similar share concerning the greenhouse emissions. According to the more recent EU Directives in matter of energy efficiency in energy use, a great attention has to be paid to energy refurbishments of existing buildings. Indeed, the turnover rate of the EU building stock is generally low in fully-developed countries, so that the energy retrofits are also more important compared to new nearly zero-energy buildings. The proposed investigation concerns the demonstrative role of the public hand, whose necessity is underlined by the EU Directives 2010/31/EU and 2012/27/EU, through a multi-step and multi-objective optimization of an educational building of an Italian University. All preliminary investigations aimed at a reliable modelling, the iterative method that combines genetic algorithms and transient energy simulations tailored on calibrated numerical models make the investigation complete and repeatable. All levers of energy efficiency have been pressed, and thus the refurbishment of building envelope, HVAC systems, integration of energy supply by renewables. The multi objective optimisation concerns costs, incentives, indoor comfort, energy demands for heating and cooling and a novel approach is proposed for choosing the best configuration of retrofit. It is resulted that the most profitable energy efficiency measures involve the modernization of energy systems, even if also the retrofit of the building envelope can be profitable under favourable financial conditions. The cost-effective refurbishment reduces the primary energy demand up to a value of 12 kWh/m2a, so that the building can be surely considered as nZEB.

Published
2017

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

Author

Fabrizio Ascione, Claudio De Stasio, Giuseppe Peter Vanoli, Nicola Bianco, Gerardo Maria Mauro, Ascione, Fabrizio, Bianco, Nicola, De Stasio, Claudio, Mauro, GERARDO MARIA, and Vanoli, Giuseppe Peter

Subjects
Engineering, 020209 energy, Time horizon, 02 engineering and technology, Thermal comfort, Multi-objective optimization, Minimum run period, Building performance simulation, Genetic algorithm, HVAC, 0202 electrical engineering, electronic engineering, information engineering, EnergyPlus, MATLAB®, Model predictive control, Civil and Structural Engineering, Building and Construction, Mechanical Engineering, Electrical and Electronic Engineering, Operating cost, Building automation, business.industry, Control engineering, business
Abstract

Efficient HVAC devices are not sufficient to achieve high levels of building energy performance, since the regulation/control strategy plays a fundamental role. This study proposes a simulation-based model predictive control (MPC) procedure, consisting of the multi-objective optimization of operating cost for space conditioning and thermal comfort. The procedure combines EnergyPlus and MATLAB ® , in which a genetic algorithm is implemented. The aim is to optimize the hourly set point temperatures with a day-ahead planning horizon, based on forecasts of weather conditions and occupancy profiles. The outcome is the Pareto front, and thus the set of non-dominated solutions, among which the user can choose according to his comfort needs and economic constraints. The critical issue of huge computational time, typical of simulation-based MPC, is overcome by adopting a reliable minimum run period. The procedure can be integrated in building automation systems for achieving a real-time optimized MPC. The methodology is applied to a multi-zone residential building located in the Italian city of Naples, considering a typical day of the heating season. Compared to a standard control strategy, the proposed MPC generates a reduction of operating cost up to 56%, as well as an improvement of thermal comfort.

Published
2016

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