Sensitivity analysis in determining the optimum energy for residential buildings in Polish conditions

Basińska, Małgorzata; Koczyk, Halina; Szczechowiak, Edward

doi:10.1016/j.enbuild.2015.08.029

Cited by 34 publications

(28 citation statements)

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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%

“…As mentioned in chapter 3 these activities can be classified as those connected to the building technique, the mechanical systems in terms of HVAC or the energy source, applied in the building. analysis presented in the papers of Basińska et al [21,34,35] shows that the optimal level (indicated by means of the global cost method) depends on a type of building and the assumed macro-economic parameters. For example (for macro-economic parameters and initial cost in 2016 year) at Fig.…”

Section: Low Energy Building (Leb) -Ue40mentioning

confidence: 99%

“…The method includes the primary, final and usable energy. The calculations were carried out according to the flow chart presented by Basińska et al in paper [21]. The criterion can be described by the value of primary energy index pointed for the given technical solution → x and to define as an annual usage of the energy calculated for the building's heated area unit according to equation (6).…”

Section: Energy-related Criterion -Primary Energy (Pe)mentioning

confidence: 99%

“…These values were discounted to the initial year i = 0, according to the building in an urban context [21]. The calculations include the data regarding climate in Poznań [5].…”

Section: Investment Costs Return Criterion -Cininvmentioning

confidence: 99%

“…First of them is a residential building for one-family BSC_1 with a heated net floor area of 164 m 2 , the other one is multi-family building, four-storey building, inhabited by 32 people with heated net floor area of 833 m 2 -BSC_3. The building represents a typical medium-size multi-storey building in an urban context [21]. The calculations include the data regarding climate in Poznań [5].…”

Section: Case Studymentioning

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: Cost's Optimal Resultsmentioning

confidence: 99%

Section: Low Energy Building (Leb) -Ue40mentioning

confidence: 99%

Section: Energy-related Criterion -Primary Energy (Pe)mentioning

confidence: 99%

“…These values were discounted to the initial year i = 0, according to the building in an urban context [21]. The calculations include the data regarding climate in Poznań [5].…”

Section: Investment Costs Return Criterion -Cininvmentioning

confidence: 99%

Section: Case Studymentioning

confidence: 99%

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