Applying a multi-objective optimization approach for Design of low-emission cost-effective dwellings

Hamdy, Mohamed; Hasan, Ala; Sirén, Kai

doi:10.1016/j.buildenv.2010.07.006

Cited by 211 publications

(129 citation statements)

References 11 publications

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“…Following the description of the factors influencing the energy-related evaluation of the building they are listed as follows: C 1 -an energy criterion, (PE), C 2 -environmental criterion, (CO 2 ), C 3 -economy criterion, (C G ) and C 4 -investment costs return criterion, (∆C in, inv ) [12][13][14][15][16][17][18][19]. The goal of the method is to choose the compromise solution from all available solutions (equation 1)…”

Section: Methodsmentioning

confidence: 99%

“…However, every time the air quality in the building must be taken under consideration -this is possible, in case of the low energy buildings, only through the airflow control and heat recovery. The use of multi-criteria optimization to choose solutions for energy-efficient buildings rate analyses the different permissible solutions can be found [14][15][16][17][38][39][40][41][42][43]. The multi-criteria analysis, proposed in this paper, allows for a classification of the alternative, technical solutions regarding HVAC systems and building itself designing taking under consideration: the economics, energy, environmental parameters in terms of complex energy-related optimum, keeping in the same time all limiting conditions.…”

Section: Increase Of Investment Costsmentioning

confidence: 99%

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The use of multi-criteria optimization to choose solutions for energy-efficient buildings

Basińska

2017

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. The goal of this paper was to optimize the building envelope and technical equipment in the building through the mitigation of the global cost value, and then to evaluate the influence of the chosen assumptions on the primary energy index. The analyses carried out using global cost method allow for finding the cost optimal solution but only for the some range of primary energy index variability. In order to find the optimal solutions it was proposed to use the multi-criteria optimisation, assuming the following as basic criteria: a global cost value and investment prices increase (economic criteria), a primary energy index (energy-related criterion), an emission of carbon dioxide (environmental criterion). The analysed case study refers to the technical solutions for the residential buildings with the usable energy demand at the level of 40 and 15 kWh/m 2 /a. The presented method might be applied to different types of buildings: those being designed and those being the subject of the thermo-modernisation. The results demonstrate that the proposed model allows for classification of the alternative technical solutions regarding the designing process and the building's technical equipment. The carried out analyses indicate the economic possibility to achieve the low energy building standard and show the need to concentrate the activities related to the installation technology and used energy source.Key words: global cost methodology, low energy buildings, European Union Directive, multi-criteria optimization. focused on the applied mechanical systems in the scope of heating, ventilation, air conditioning (HVAC) and the sources of the energy supplying the building. The goal of these activities is to re-shape the building and its technical equipment in such a way to limit the energy usage. As a result it should lead to the limitation of CO 2 emission. The basic aim of this paper is to present the method of the economic, energy-related and ecological evaluation of the building and its mechanical equipment. The main goal of this paper was to optimize the building's envelope and its technical equipment. The problem of the multi-criteria optimization was solved, including the minimalisation of the global cost, primary energy index, emission of carbon dioxide and the increase of the investment costs in relation to the basic scenario. The options of the possible technological activities aiming for achieving the standards of the low-energy building were compared and then the best solution for the Polish economic conditions was indicated. The analyses referred to the building components, creating the building's envelope as well as to the components of the mechanical systems (HVAC) and the energy sources supplying the building's technical systems. The primary aim was to provide a comparison of the proposed solutions with the basic scenario (BASE).The proposed method was used to indicate the integrated activities (construction technology, mechanical system, energy sources) aiming for the improvement of the technology...

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Section: Methodsmentioning

confidence: 99%

Section: Increase Of Investment Costsmentioning

confidence: 99%

The use of multi-criteria optimization to choose solutions for energy-efficient buildings

Basińska

2017

Bulletin of the Polish Academy of Sciences Technical Sciences

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“…Today, there is a strong trend towards population-based search algorithms such as evolutionary algorithms and particle swarms. These algorithms have been proven to be very successful in optimizing one or many performance criteria while handling search constraints for large design problems [15][16][17]. It has now become common practice for populations of building simulations to be carried out simultaneously on multi-core processors and distributed computing to greatly reduce the time needed for an optimisation study (GenOpt [18], modeFrontier [19], Phoenix Integration [20].…”

Section: Brief History Of Bpomentioning

confidence: 99%

“…Since building simulation is often very time-consuming, a large number of iterations could not be practical. Deterministic optimisation phases and archive strategies are added to the original NSGA-II in order to perform rapid optimisation -using a low number of simulation runs-and/or to guarantee optimal or close-to optimal solution set for building design problems [17,87,98]. The proposed algorithms/approaches (PR_GA, GA_RF, PR_GA_RF, and a NSGA-II) reduce the random behaviour of the original NSGA-II enhancing the repeatability of the optimisation results.…”

Section: Bpo Objectives (Single-objective and Multi-objective Functions)mentioning

confidence: 99%

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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

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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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Applying Genetic Algorithms to Optimize Energy Efficiency in Buildings

Diakaki

Grigoroudis

2013

Multicriteria Decision Aid and Artificial Intelligence

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Applying a multi-objective optimization approach for Design of low-emission cost-effective dwellings

Cited by 211 publications

References 11 publications

The use of multi-criteria optimization to choose solutions for energy-efficient buildings

The use of multi-criteria optimization to choose solutions for energy-efficient buildings

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

Applying Genetic Algorithms to Optimize Energy Efficiency in Buildings

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