Influence of the building shape on the energy performance of timber-glass buildings located in warm climatic regions

Premrov, Miroslav; Žigart, Maja; Leskovar, Vesna Žegarac

doi:10.1016/j.energy.2018.02.074

Cited by 37 publications

(18 citation statements)

References 31 publications

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“…In warm climates, an almost exponential correlation exists between the cooling load and the building aspect ratio for wide glazed commercial buildings. On the same occupied floor area, a single-storey building has a lower demand than two-storey ones, confirming the effectiveness of compact shapes, [15]. Building development axis influence surface orientation: east-west axis is preferred, to have a large south facing surface to exploit.…”

Section: Fig 7 Trend Of External Surface To Volume Ratiomentioning

confidence: 75%

Passive solar systems for buildings: performance indicators analysis and guidelines for the design

2020

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Data from the International Energy Agency confirm that in a zero-energy perspective the integration of solar systems in buildings is essential. The development of passive solar strategies has suffered the lack of standard performance indicators and design guidelines. The aim of this paper is to provide a critical analysis of the main passive solar design strategies based on their classification, performance evaluation and selection methods, with a focus on integrability. Climate and latitude affect the amount of incident solar radiation and the heat losses, while integrability mainly depends on the building structure. For existing buildings, shading and direct systems represent the easiest and most effective passive strategies, while building orientation and shape are limited to new constructions: proper design can reduce building energy demand around 40%. Commercial buildings prefer direct use systems while massive ones with integrated heat storage are more suitable for family houses. A proper selection must consider the energy and economic balance of different building services involved: a multi-objective evaluation method represents the most valid tool to determine the overall performance of passive solar strategies.

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Section: Fig 7 Trend Of External Surface To Volume Ratiomentioning

confidence: 75%

Passive solar systems for buildings: performance indicators analysis and guidelines for the design

2020

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“…Heating energy consumption decreases as the WWR increases, which in turn increases the cooling energy consumption. Premrov et al studied the climate conditions in Athens and Seville for the purpose of determining the energy required for heating and cooling buildings with a wooden construction, characterized by low thermal mass in relation to the WWR, glazing type, and different building geometry [5]. Although numerous authors attempted to establish a correlation between the building shape factor and energy consumption, Granadeiro et al demonstrated that, with the presence of significant solar gain, the shape factor cannot be an indicator of heating and cooling energy consumption [6].…”

Section: Introductionmentioning

confidence: 99%

Effects of the geometry of residential buildings with a sunspace on their energy performance

Vukadinović

Radosavljević

Đorđević

et al. 2019

FACTA U SERIES ARCHI

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The increase in energy consumption in building design and construction and the issues related to environmental protection have steered many current researchers toward examining the ways to reduce total CO 2 emissions, which resulted in the development of various measures to increase energy efficiency. One measure for more cost-efficient and rational use of energy resources in individual residential buildings is the application of passive solar systems with a sunspace. This paper presents the effects of the shape factor of a residential building with a passive sunspace on the total consumption of heating and cooling energy. The total amount of energy required for building heating and cooling was calculated by means of dynamic modelling using EnergyPlus software. The simulations were run according to the meteorological parameters for the city of Niš. For simulation purposes, models of residential buildings with a passive sunspace and square-and rectangle-shaped floors were designed. The variations between the models include different building shape factor, floor geometry, surface area of the southern façade, and glazing percentage, i.e. window-to-wall ratio (WWR). Examination of the models with WWR=20%, WWR=40%, and WWR=60% revealed that the elongated shape of a building with the aspect ratio of 2.25:1, with the longer side of the façade facing south, is the most favourable in terms of heating energy consumption. For the same WWRs, the elongated shape of a building with the aspect ratio of 1.56:1, with the longer side of the façade facing south, is the most favourable in terms of cooling energy consumption. As WWR increases, so does the amount of energy required to cool the building. The biggest increase in heating energy consumption was observed in buildings with the aspect ratio 1:2.25, with the shorter side facing south.

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“…Regardless of whether the regression models are designed to optimize the architectural and technical properties of a building or to predict the future response of the building, fast modelling consists of several phases. In the first step, the procedure consists of the determination of independent variables, which could be architectural parameters, such as building shape factor [5][6][7], indoor climate, comfort parameters [8,9], occupancy schedules [9], thermal properties of building envelope [10][11][12][13], or building service parameters [12]. In the second step, the type of the regression model must be defined.…”

Section: Introductionmentioning

confidence: 99%

Fast Modelling of nZEB Metrics of Office Buildings Built with Advanced Glass and BIPV Facade Structures

et al. 2019

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The planning process of nearly Zero Energy Buildings (nZEB), as defined in Energy Performance of Buildings Directive (EPBD), requires that designers check their solutions at all stages of planning. In the initial design phase, methods and tools for which only basic design knowledge of the modelling of energy efficiency indicators is required are often sufficient. With the introduction of fast modelling techniques, designers’ work can be simplified. A method and software for the fast modelling of nZEB energy efficiency indicators of buildings constructed with advanced multi-layer glass and building integrated photovoltaics facade (BIPV) structures are presented. The computer tool for fast modelling combines (i) upgraded national certificated software for energy performance of buildings (EPB) evaluation, which is used for performing auto-repeating numerical calculations based on the design of experiments (DOE) and (ii) software for the determination of multiple linear regression models and the presentation of results. The case studies made for different buildings and climate conditions show the variety of options offered by the developed fast modelling approach. It can be seen that buildings with a large proportion of advanced glassed facade and even all-glass buildings can fulfil nZEB requirements via the on-site production of electricity with BIPV facade structures.

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Influence of the building shape on the energy performance of timber-glass buildings located in warm climatic regions

Cited by 37 publications

References 31 publications

Passive solar systems for buildings: performance indicators analysis and guidelines for the design

Passive solar systems for buildings: performance indicators analysis and guidelines for the design

Effects of the geometry of residential buildings with a sunspace on their energy performance

Fast Modelling of nZEB Metrics of Office Buildings Built with Advanced Glass and BIPV Facade Structures

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