Development of a multicriteria tool for optimizing the renovation of buildings

Chantrelle, Fanny Pernodet; Lahmidi, Hicham; Keilholz, Werner; Mankibi, Mohamed El; Michel, Pierre

doi:10.1016/j.apenergy.2010.10.002

Cited by 250 publications

(109 citation statements)

References 34 publications

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“…Pareto optimization strategies are, in most cases, aimed to provide only some elements of the Pareto set rather than the entire one. Due to the complexity of BOPs, researchers often use up to two objective functions, but a very few exceptions with 3 or more functions have been observed as shown in [37] (three objective functions were indoor environment quality, the carbon payback period, and cash payback period time), in [66] (energy consumption, CO 2 emission and initial investment cost) or in [38] (energy consumption, thermal comfort and initial investment cost).…”

Section: 3mentioning

confidence: 99%

A review on simulation-based optimization methods applied to building performance analysis

2014

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Recent progress in computer science and stringent requirements of the design of "greener" buildings put forwards the research and applications of simulation-based optimization methods in the building sector. This paper provides an overview on this subject, aiming at clarifying recent advances and outlining potential challenges and obstacles in building design optimization. Key discussions are focused on handling discontinuous multi-modal building optimization problems, the performance and selection of optimization algorithms, multi-objective optimization, the application of surrogate models, optimization under uncertainty and the propagation of optimization techniques into real-world design challenges. This paper also gives bibliographic information on the issues of simulation programs, optimization tools, efficiency of optimization methods, and trends in optimization studies. The review indicates that future researches should be oriented towards improving the efficiency of search techniques and approximation methods (surrogate models) for largescale building optimization problems; and reducing time and effort for such activities. Further effort is also required to quantify the robustness in optimal solutions so as to improve building performance stability.

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Section: 3mentioning

confidence: 99%

A review on simulation-based optimization methods applied to building performance analysis

2014

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“…Applications can also focus on maximizing the efficiency of Heating, Ventilation and Air Conditioning (HVAC) systems, ventilation, and photovoltaic collectors [20,21]. Several studies focus on the optimization of a single building component, such as windows or envelope [22,23]. Optimization problems can also relate to building renovation or internal comfort and relative humidity [24,25].…”

Section: Building Optimizationmentioning

confidence: 99%

Envelope Design Optimization by Thermal Modelling of a Building in a Warm Climate

Baglivo

Congedo

Cataldo³

et al. 2017

Energies

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Abstract:Finding the most appropriate configuration of building components at the design stage can reduce energy consumption in new buildings. This study aims to optimize the design of the envelope of a new residential building located in a warm climate (southern Italy). The thermal behaviour of the building has been analysed to evaluate the indoor operative air temperature for several configurations. The building prototype has been modelled using the dynamic simulation software TRNSYS 17 (A transient system simulation program, University of Wisconsin, Solar Energy Laboratory, USA, 2010) using a sequential search technique. Starting from the simplest building configuration, the main evaluated components are: walls, slab-on-ground floor, roof, shading, windows and internal heat loads. For each of these components, different design options have been modelled and compared in terms of indoor thermal comfort. Comfort parameters have also been taken into account to evaluate users' satisfaction with the optimized configurations. The study of the operative air temperature demonstrates that the absence of insulating layers in the ground floor ensures a lower internal temperature in summer. The paper shows how each component impacts the thermal behaviour of the whole building. It highlights the usefulness of the envelope design optimization that is characterized by high values of heat storage capacity, enabling internal temperature fluctuations to be kept under control, especially during summer.Keywords: envelope; optimization; building; TRNSYS; operative air temperature; warm climate; comfort HIGHLIGHTS:•The envelope design of a residential building has been optimized for a warm climate.• Several envelope design options have been evaluated and compared.• Walls with a high internal areal heat capacity are preferable in a warm climate. •The absence of insulating layers on slab-on-ground floor provides lower temperature in summer.• Low emissivity glass and low solar absorbance roof reduce heat loads.

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“…Juan et al [11] developed a genetic algorithm-based decision support system and researched the balance of cost and quality in home renovations. Chantrelle et al [6] developed a software with an interface that employed the genetic algorithm for the renovation of buildings and contained energy consumption, thermal comfort, cost, and environmental impact. Hamdy et al [12] developed a threestage multiobjective optimization model based on simulation, seeking to minimize the cost and environmental effects of an air conditioning system and a house.…”

Section: Recent Studies On Building An Optimization Problemmentioning

confidence: 99%

“…Although this creates difficulty in computation, the Pareto set, consisting of feasible solutions, can be determined via algorithms providing the right amount of performance. If a solution cannot improve other objectives without corrupting at least one of the objective functions, it is called the Pareto optimal or nondominated solution [6]. Points forming the closest border to the optimal solution create the Pareto front ( Figure 1) [7].…”

Section: Introductionmentioning

confidence: 99%

Developing a model and software for energy efficiency optimization in the building design process: a case study in Turkey

Bayata¹,

Temiz²

2017

Turk J Elec Eng & Comp Sci

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Abstract:Buildings are responsible for 40% of the primary energy consumption in the world. Recent studies have revealed that the energy efficiency and environmental impact of buildings are two very important criteria to consider during the process of building design for the future of our world. By considering the initial investment cost and its importance for investors, a problem with three objective functions has emerged with 16 building energy systems and 24 construction material alternatives. The aim of this work is to develop a methodology and software to solve multiobjective building optimization problems. Thus, two different software tools have been developed using MATLAB. The first tool, the Building Energy Consumption Calculation Program, is used to calculate the building's annual energy consumption according to the Turkish standard for thermal insulation requirements for buildings, initial investment costs, and CO 2 emissions. The second tool, the Building Energy Optimization Program, is a multiobjective optimization program that uses the NSGA-II genetic algorithm to minimize objectives. With the help of the programs in question, multiobjective optimization of a sample building has been conducted. The results demonstrate that the developed model and software tools are generic, feasible solutions that can be implemented in a reasonable timeframe; thus, they can be adapted to a large range of building optimization problems and will be useful for decision makers.

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Development of a multicriteria tool for optimizing the renovation of buildings

Cited by 250 publications

References 34 publications

A review on simulation-based optimization methods applied to building performance analysis

A review on simulation-based optimization methods applied to building performance analysis

Envelope Design Optimization by Thermal Modelling of a Building in a Warm Climate

Developing a model and software for energy efficiency optimization in the building design process: a case study in Turkey

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