A multi-stage optimization method for cost-optimal and nearly-zero-energy building solutions in line with the EPBD-recast 2010

Hamdy, Mohamed; Hasan, Ala; Sirén, Kai

doi:10.1016/j.enbuild.2012.08.023

Cited by 359 publications

(195 citation statements)

References 26 publications

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“…The global costs method is used in Poland and in many European countries to establish the requirements of thermal protection of the buildings [21,[23][24][25][26][27][28][29][30][31][32][33]. The For the analysed buildings only in case of bio-mass boiler application the energetic optimum, assumed by global cost method, lies in the area of the used energy at the level of EU 15 .…”

Section: Cost's Optimal Resultsmentioning

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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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: Cost's Optimal Resultsmentioning

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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“…Because the method described in this paper is proposed as a direct application of the European comparative approach, the following previous experiences were considered particularly relevant: Kurnitski et al (2011), Hamdy et al (2013, Ganic and Zerrin Yılmaz (2014), Pikas et al (2014), Ferrara et al (2014), Brandão de Vasconcelos et al (2016), Becchio et al (2016), Ashrafiana et al (2016), Ortiz et al (2016a, b).…”

Section: Literature Reviewmentioning

confidence: 99%

Identification of cost-optimal and NZEB refurbishment levels for representative climates and building typologies across Europe

et al. 2017

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The energy consumptions of the building stock are playing a central role in the energy policy of the European Union. While the Member States are applying the Directives in force, the European Commission is working to update the regulatory framework. Specifically, it is necessary to achieve the great unrealized potential for energy savings in existing buildings. With this aim, the nearly zero-energy building (NZEB) target was introduced, and a comparative methodology framework to calculate cost-optimal levels of minimum energy performance requirements was proposed. This study focuses on the issue of building renovation, and it presents the results obtained with the application of a cost-optimal calculation method for identifying proper retrofit measures to reach costoptimal levels and NZEB levels. The assessment takes into account an exhaustive set of passive and active renovation options and it was extended to various building types of 60s-70s (residential and non-residential) in a wide range of representative European climatic conditions. A very relevant energy-saving potential was found for all cost-optimal benchmarks, and in many cases, the obtained NZEB refurbishments have resulted interesting also from an economic point of view.

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“…As a consequence the total number of all possible combinations of the design options is ~1. 6 The price is calculated based on price assumptions from our previous paper [40] . Prices are updated assuming a 1.7 % inflation rate, which is the average inflation rate of the last ten years [41].…”

Section: Test Modelsmentioning

confidence: 99%

A performance comparison of multi-objective optimization algorithms for solving nearly-zero-energy-building design problems

Hamdy

Nguyen

Hensen

2016

Energy and Buildings

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263

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• A submitted manuscript is the version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research.• You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal.If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User Agreement: ABSTRACTIntegrated building design is inherently a multi-objective optimization problem where two or more conflicting objectives must be minimized and/or maximized concurrently. Many multiobjective optimization algorithms have been developed; however few of them are tested in solving building design problems. This paper compares performance of seven commonly-used multi-objective evolutionary optimization algorithms in solving the design problem of a nearly zero energy building (nZEB) where more than 1.6 10 solutions would be possible. The compared algorithms include a controlled non-dominated sorting genetic algorithm with a passive archive (pNSGA-II), a multi-objective particle swarm optimization (MOPSO), a two-phase optimization using the genetic algorithm (PR_GA), an elitist non-dominated sorting evolution strategy (ENSES), a multi-objective evolutionary algorithm based on the concept of epsilon dominance (evMOGA), a multi-objective differential evolution algorithm (spMODE-II), and a multi-objective dragonfly algorithm (MODA). Several criteria was used to compare performance of these algorithms.In most cases, the quality of the obtained solutions was improved when the number of generations was increased. The optimization results of running each algorithm 20 times with gradually increasing number of evaluations indicated that the PR_GA algorithm had a high repeatability to explore a large area of the solution-space and achieved close-to-optimal solutions with a good diversity, followed by the pNSGA-II, evMOGA and spMODE-II. Uncompetitive results were achieved by the ENSES, MOPSO and MODA in most running cases. The study also found that 1400 -180...

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A multi-stage optimization method for cost-optimal and nearly-zero-energy building solutions in line with the EPBD-recast 2010

Cited by 359 publications

References 26 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

Identification of cost-optimal and NZEB refurbishment levels for representative climates and building typologies across Europe

A performance comparison of multi-objective optimization algorithms for solving nearly-zero-energy-building design problems

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