Building envelope design: Multi-objective optimization to minimize energy consumption, global cost and thermal discomfort. Application to different Italian climatic zones

The paper proposes a multi-objective optimization approach to address the energy design of the building envelope. A genetic algorithm (GA) is implemented by means of the coupling between MATLAB® and EnergyPlus to minimize primary energy consumption (PEC), energy-related global cost (GC) and discomfo...

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Veröffentlicht in:Energy (Oxford) Jg. 174; S. 359 - 374
Hauptverfasser: Ascione, Fabrizio, Bianco, Nicola, Maria Mauro, Gerardo, Napolitano, Davide Ferdinando
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford Elsevier Ltd 01.05.2019
Elsevier BV
Schlagworte:
algorithms
Building design
Building energy optimization
Building envelope
Building envelopes
Climatic zones
Cost-optimal analysis
Design
Design optimization
Discomfort
Energy conservation
Energy consumption
energy efficiency
Genetic algorithms
Green buildings
Multi-objective genetic algorithm
Multiple objective analysis
Nearly zero energy buildings
Pareto optimization
Physical properties
Plasters
primary energy
Residential areas
Residential buildings
Residential energy
residential housing
Residential location
stakeholders
temperature
Thermal comfort
Multi-objective genetic algorithm
Thermal comfort
Building energy optimization
Nearly zero energy buildings
Building envelope
Cost-optimal analysis
ISSN:0360-5442, 1873-6785
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Zusammenfassung:The paper proposes a multi-objective optimization approach to address the energy design of the building envelope. A genetic algorithm (GA) is implemented by means of the coupling between MATLAB® and EnergyPlus to minimize primary energy consumption (PEC), energy-related global cost (GC) and discomfort hours (DH). The design variables concern the set point temperatures, the radiative properties of plasters, the thermo-physical properties of envelope components, the window type, the building orientation. The GA performs a Pareto optimization and finally two optimal solutions are recommended: the nZEB (nearly zero energy building) optimal solution, which minimizes PEC, and the cost-optimal solution, which minimizes GC. These solutions provide the optimal design strategies for the public and private stakeholders, respectively, which represent the main actors involved in building design. The approach is applied for the design of a new typical Italian residential building. Four locations are considered to investigate the typical Italian climates. The outcomes can give precious indications to rebuild the Italian residential stock with a view to energy-efficiency and cost-optimality, given that the optimal solutions provide low values of PEC – between 62.0 and 91.9 kWhp/m2a – and of GC – between 456 and 665 €/m2 – depending on the location. [Display omitted] •The methodology optimizes envelope energy design by using a genetic algorithm.•Primary energy consumption, global cost and discomfort hours are minimized.•The optimal most sustainable (nZEB) and the cost-optimal designs are achieved.•The methodology is applied to four different Italian climatic zones.•Original indications to rebuild the Italian residential stock are provided.
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ISSN:0360-5442
1873-6785
DOI:10.1016/j.energy.2019.02.182