Comparison of dynamic simulations and the ISO 52016 standard for the assessment of building energy performance

Žakula, Tea; Bagarić, Marina; Ferdelji, Nenad; Milovanović, Bojan; Mudrinić, Saša; Ritoša, Katia

doi:10.1016/j.apenergy.2019.113553

Cited by 44 publications

(33 citation statements)

References 19 publications

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“…As the control method assumes that there is a tool that is easy to use but gives reliable results in a view of estimated building energy calculation, paper also gives validation of one tool that is implemented in BIM environment and directly translates information model to energy model. Validation is performed in two ways-comparing the results following the standard ASHRAE 14:2014, and by modeling selected buildings described in more detail in the paper [13] by comparing the results for required annual heating and cooling energies from that paper with those from the Energy Evaluation tool for same inputs.…”

Section: Motivation and Methodologymentioning

confidence: 99%

“…Authors often use buildings from the BESTEST, and climate from location that is point of their interest, nationally standardized NZEBs, or building and location of their choice. The literature review from [13] shows that results for standard ISO 13790:2008 differ from those from BESTEST or reference buildings in a range 11-114%. The paper shows the validation of algorithm created by following the ISO 52016-1:2017 and when comparing the algorithm results and the results from ANSI/ASHRAE 140, the maximum differences between the result and mean value from BESTEST is 14% for heating and 10% for cooling.…”

Section: Building Energy Simulationmentioning

confidence: 99%

“…Section 3 introduces the proposed method for control of NZEB delivering with all its steps. Section 4 provides the validation of a tool that is used in the proposed method in two ways-BESTEST (Building Energy Simulation test) validation in Section 4.1 and in compare with results published in [13] in Section 4.2. Section 5 offers conclusions and presents plans for future research.…”

Section: Introductionmentioning

confidence: 99%

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Method for Building Information Modeling Supported Project Control of Nearly Zero-Energy Building Delivery

et al. 2020

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With the increasing number of nearly zero-energy buildings (NZEB) due to increase of global awareness on climate change, the new concepts of design and control must be developed because of great NZEB dependency on detailing and multidisciplinary approach. This paper proposes a three-level gateway control method for NZEB project delivery by using digital representation of the building in building information modeling (BIM) environment. These controls (C1, C2 and C3) are introduced before three main phases of any project delivery—design phase, construction phase and handover. The proposed project control procedure uses black-box building energy modeling within the BIM environment, so the paper explores the reliability of one tool for direct energy modeling within the BIM-authoring software. The paper shows two types of validation tests with satisfactory results. This leads to conclusion that analyzed tool for energy simulation within BIM environment can be used in a way that is described in a proposed project control procedure. For further research it is proposed to explore reliability of tools for energy simulation connected to other BIM-authoring software, so this project control procedure could be independent of BIM-authoring software used in the paper.

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Section: Motivation and Methodologymentioning

confidence: 99%

Section: Building Energy Simulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Method for Building Information Modeling Supported Project Control of Nearly Zero-Energy Building Delivery

et al. 2020

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“…As a replacement of the simplified method used in ISO 13790:2008, the ISO 52016-1:2017 standard introduced a new methodology for the assessment of the building energy performance. To the best of the authors' knowledge, a limited number of studies have been carried out for the performance of the standard with respect to the hourly heating and cooling energy needs of buildings [50], [51]. In [50], the quasi-steady procedure of EN ISO 52016-1, which uses the concept of the utilization factors for energy gains and heat transfer, was developed.…”

Section: Main Paper Contributionsmentioning

confidence: 99%

“…Ref. [51] presents a comprehensive analysis of the ISO 52016-1:2017 accuracy with respect to a wide range of building uses, envelope properties, as well as annual and hourly heating/cooling needs. The analysis was performed by comparing the results from the standard with the dynamic simulation in TRNSYS.…”

Section: Main Paper Contributionsmentioning

confidence: 99%

Modeling of Heating and Cooling Energy Needs in Different Types of Smart Buildings

2020

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Over the last decades, the growing energy consumption of commercial and residential buildings has considerably increased the energy-related carbon dioxide (CO 2) emissions. At EU level, the Energy Performance of Buildings Directive (EPBD) has introduced the transformation of buildings into nearly zero energy buildings (nZEBs) that cover the majority of their low energy demand by on-site renewable energy sources. In this direction, the project PV-ESTIA ''Enhancing storage integration in buildings with Photovoltaics'' aims at developing and validating various optimal energy management strategies in buildings equipped with Photovoltaics (PV) and storage systems. One of the main requirements for the application of the developed strategies is the accurate computation of energy consumption, and particularly, of heating and cooling energy needs. In this paper, a simple and accurate model based on the ''grey-box'' concept is proposed for the computation of hourly thermal energy needs in different types of premises by using the standard ISO 52016-1:2017. The method's performance is evaluated by comparing the results with those of other simulation programs for ten European cities with climatic variations. It is concluded that the proposed model presents high accuracy on the computation of the operative temperature, since it considers the air temperature, as well as the temperatures and the areas of the internal surfaces. Finally, any deviations with the other simulation tools are due to differences in the internal air temperature, weather data, as well as the approaches of ventilation and shading effects.

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Energy Calibration: Developing a Novel Methodology to Calibrate Building Energy Performance of Social Housing Estates

Özarısoy

Altan²

2022

Handbook of Retrofitting High Density Residential Buildings

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Comparison of dynamic simulations and the ISO 52016 standard for the assessment of building energy performance

Cited by 44 publications

References 19 publications

Method for Building Information Modeling Supported Project Control of Nearly Zero-Energy Building Delivery

Method for Building Information Modeling Supported Project Control of Nearly Zero-Energy Building Delivery

Modeling of Heating and Cooling Energy Needs in Different Types of Smart Buildings

Energy Calibration: Developing a Novel Methodology to Calibrate Building Energy Performance of Social Housing Estates

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