Genetic optimization of external fixed shading devices

Manzan, Marco

doi:10.1016/j.enbuild.2014.01.007

Cited by 98 publications

(61 citation statements)

References 17 publications

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“…They derived solutions based on the Pareto front achieving good results in both cases [14]. An approach based on genetic algorithm proposed by Manzan to optimize a fixed shading device of a south facing window in an office room demonstrated that this procedure can be a powerful tool [15]. A biogeography-based optimization algorithm was proposed by Hadidi to design and optimize plate fin exchangers with a relevant reduction of total cost, pressure drop and the heat transfer area of exchanger in comparison with other classical population-based procedures [16].…”

Section: Simulation and Optimization Of Building Shading Devicesmentioning

confidence: 99%

“…To address an optimization problem several evolutionary procedures involving different search algorithms, such as model-based Genetic Algorithms [31,15,23], Particle Swarm Optimization [32,33], and Harmony Search [34,21], can be considered. The evolutionary approach, based on a set of metaheuristics, is able to process just a small set of candidate solutions, instead of all solutions in the search space, achieving very good results in converging to the real optimal values.…”

Section: The Multi-objective Evolutionary Design For Optimization (M-mentioning

confidence: 99%

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A Pareto-based multi-objective optimization algorithm to design energy-efficient shading devices

2016

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h i g h l i g h t sWe present a multi-objective optimization algorithm for shading design. We combine Harmony search and Pareto-based procedures. Thermal and daylighting performances of external shading were considered. We applied the optimization process to a residential social housing in Madrid. t r a c tIn this paper we address the problem of designing new energy-efficient static daylight devices that will surround the external windows of a residential building in Madrid. Shading devices can in fact largely influence solar gains in a building and improve thermal and lighting comforts by selectively intercepting the solar radiation and by reducing the undesirable glare. A proper shading device can therefore significantly increase the thermal performance of a building by reducing its energy demand in different climate conditions. In order to identify the set of optimal shading devices that allow a low energy consumption of the dwelling while maintaining high levels of thermal and lighting comfort for the inhabitants we derive a multi-objective optimization methodology based on Harmony Search and Pareto front approaches. The results show that the multi-objective approach here proposed is an effective procedure in designing energy efficient shading devices when a large set of conflicting objectives characterizes the performance of the proposed solutions.

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Section: Simulation and Optimization Of Building Shading Devicesmentioning

confidence: 99%

Section: The Multi-objective Evolutionary Design For Optimization (M-mentioning

confidence: 99%

A Pareto-based multi-objective optimization algorithm to design energy-efficient shading devices

2016

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“…[12]. It mimics the process of biological evolution and can solve large scale problems effectively, deal with discrete variables and determine the optimal solution for the function with multiple local minima [13]. In this section, the most unfavorable horizontal alignment combination for vertical vibration of carbody was determined by combining GA and abovementioned vehicle-line vibration model.…”

Section: B Model Parametersmentioning

confidence: 99%

Regularity of Vibration Superposition after the Vehicle Passes through the Intermediate Straight Line between Curves

Wang¹,

Xie²,

Wang³

et al. 2017

Proceedings of the 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)

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“…Coley and Schukat [25] combine a GA using the variables thermal conductivity of the wall materials and the thermal inertia of each area of the building, with human value judgments (architectural attractiveness). Mazan and Pinto [26] present a method that tries to minimize the energy consumption in heating and the hours of artificial lighting, through the design of shade elements. Sahu et al [27] design the HVAC system (heating, ventilation and air conditioner) in a tropical climate by combining the admittance method and a genetic algorithm.…”

Section: Overview and Backgroundmentioning

confidence: 99%

Genetic algorithm-based approach for optimizing the energy rating on existing buildings

Contreras

Moyano

Rico

2016

Building Services Engineering Research and Technology

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This paper presents an innovative method for the building energy-retrofit process. By applying a simple genetic algorithm, the aim is to optimize the cost of intervening in an existing building by fixing the energy rating obtained at a given value. The practical potential of the method presented here is quite extensive, with its greatest exponent being its use by technicians who are unfamiliar with optimization processes. The application of this calculation methodology would simplify the study of projects in the phase of selecting energy-saving measures, given that there are currently many of them, with their independent characteristics, which makes the selection process a slow and ineffective task. In addition, the method's intuitive interface and the fact that it is programmed in MS Excel make it an innovative method with great applicability in the field of building process optimization. AbstractThe problem of improving the energy behaviour of existing buildings is a current topic of interest in scientific research. In recent years, Public Administrations have made an effort to introduce norms that help to reorient the tendency toward increasing energy consumption by buildings. To do so, manufacturers have developed numerous energy efficiency measures that have become widely extended. The main problem when selecting one or various measures is to identify the ones that will provide the best tradeoff between services and implementation costs. This paper presents a study focused on implementing techniques for calculating the heating and cooling energy demand, along with genetic algorithm, to optimize the process of adjusting the building's energy efficiency rating to a determined rating for existing building. The proposed optimization approach is applied to a real case to demonstrate its validity in a real world situation.

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Genetic optimization of external fixed shading devices

Cited by 98 publications

References 17 publications

A Pareto-based multi-objective optimization algorithm to design energy-efficient shading devices

A Pareto-based multi-objective optimization algorithm to design energy-efficient shading devices

Regularity of Vibration Superposition after the Vehicle Passes through the Intermediate Straight Line between Curves

Genetic algorithm-based approach for optimizing the energy rating on existing buildings

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