Optimization of envelope and HVAC systems selection for residential buildings

Bichiou, Youssef; Krarti, Moncef

doi:10.1016/j.enbuild.2011.08.031

Cited by 194 publications

(84 citation statements)

References 12 publications

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“…The detailed multi-zone model of a building and the gains that are attributed to the relevant zones contributed to maximize the obtained results (reduced LCC). In many works on this subject, the size of the windows is determined only by the ratio of their area to the façade area [15]. The window optimization tool built in this study analyses each window separately and allows to remove windows that overstate the energy consumption.…”

Section: Discussionmentioning

confidence: 99%

“…Typically, the widely accepted building lifetime is 25-50 years [15,26,30]. In this paper, the analysis period and building life cycle is considered to be 30 years, according to European Commission Delegated Regulation and its Guidelines for residential buildings [12,57].…”

Section: Economic Analysismentioning

confidence: 99%

“…Although GAs do not guarantee finding the global optimum, they have become advanced optimization tool for a wide range of problems. GAs were further applied in a number of the papers quoted in the introduction of this paper [2,5,14,15,[29][30][31][32][33]35,36,38,[40][41][42].…”

Section: Optimization Algorithmmentioning

confidence: 99%

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Multi-Variable Optimization of Building Thermal Design Using Genetic Algorithms

Ferdyn-Grygierek

Grygierek

2017

Energies

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Abstract:The building sector is one of the largest energy consumers in the world, comprising about 40% of the total energy consumption in numerous countries. Early design decisions have a significant impact on the energy performance of buildings. The paper presents the multi-variable optimization of the selected design parameters in a single-family building in temperate climate conditions. The influence of four types of windows, their size, building orientation, insulation of external wall, roof and ground floor and infiltration on the life cycle costs (LCC) is analyzed. Optimal selection of the design parameters is carried out using genetic algorithms by coupling the building performance simulation program EnergyPlus with optimization environment. The simulations were conducted for seven optimization cases. The analysis is performed for two variants of a building with heating and cooling systems and with a heating system only. Depending on the analyzed case, the life cycle costs decreased from 7% to 34% LCC value of the reference building. In the case of temperate climate, the building optimization (in terms of heat demand only) substantially reduces the heating costs, yet the summer thermal comfort conditions deteriorate significantly.

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Section: Discussionmentioning

confidence: 99%

Section: Economic Analysismentioning

confidence: 99%

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Multi-Variable Optimization of Building Thermal Design Using Genetic Algorithms

Ferdyn-Grygierek

Grygierek

2017

Energies

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“…Daniel Tuhus-Dubrow, Moncef Krarti have used DOE-2, Perl application and Matlab for the optimization of a residential building envelope shape [2,3]. TRNSYS and Matlab calculations were done for cooling system optimization by K. F. Fong, V. I. Hanby, T. T. Chow [4].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Office Building Façades in a Warm Summer Continental Climate

Hani¹,

Koiv²

2012

SGRE

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A typical office building model with conventional use and contemporary building systems was developed for façade optimization in continental climate. Wall, glazing area and window parameters were taken as the main variables. The objective function of optimization task described in this article is the minimization of cooling and heating energy consumption. The office building façades optimization was carried out using a combination of IDA Indoor Climate and Energy 4.5 and GenOpt. The process is described in detail so that the approach may be emulated. A hybrid multidimensional optimization algorithm GPSPSOCCHJ was used in calculation process. The optimization results are presented in four quick selection charts to assist architects, designers and real estate developers make suitable early stage façade selection decisions.

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“… Managing of energy storage [78,79] and automated model calibration [80,81]  Simultaneous optimisation of building envelope and HVAC elements [7,15,16,65,[82][83][84][85][86][87][88][89][90].…”

mentioning

confidence: 99%

Assessing gaps and needs for integrating building performance optimization tools in net zero energy buildings design

Attia

Hamdy

O’Brien³

et al. 2013

Energy and Buildings

368

192

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This paper summarizes a study undertaken to reveal potential challenges and opportunities for integrating optimisation tools in Net Zero Energy Buildings (NZEB) Design. The paper reviews current trends in simulationbased Building Performance Optimisation (BPO) and outlines major criteria for optimisation tools selection and evaluation. This is based on analyzing user's needs for tools capabilities and requirement specifications. The review is carried out by means of a literature review of 165 publications and interviews with 28 optimisation experts. The findings are based on an inter-group comparison between experts. The aim is to assess the gaps and needs for integrating BPO tools in NZEB Design. The findings indicate existing limitations including model uncertainty, computation time, difficulty of use and steep learning curve. Some future directions anticipated or needed for improvement of current tools are presented.

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Optimization of envelope and HVAC systems selection for residential buildings

Cited by 194 publications

References 12 publications

Multi-Variable Optimization of Building Thermal Design Using Genetic Algorithms

Multi-Variable Optimization of Building Thermal Design Using Genetic Algorithms

Optimization of Office Building Façades in a Warm Summer Continental Climate

Assessing gaps and needs for integrating building performance optimization tools in net zero energy buildings design

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Optimization of envelope and HVAC systems selection for residential buildings

Cited by 194 publications

References 12 publications

Multi-Variable Optimization of Building Thermal Design Using Genetic Algorithms

Multi-Variable Optimization of Building Thermal Design Using Genetic Algorithms

Optimization of Office Building Fa&#231;ades in a Warm Summer Continental Climate

Assessing gaps and needs for integrating building performance optimization tools in net zero energy buildings design

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Optimization of Office Building Façades in a Warm Summer Continental Climate