Building energy modelling and simulations: qualitative and quantitative analysis

Gajewski, Ryszard; Pieniążek, Paweł

doi:10.1051/matecconf/201711700051

Cited by 7 publications

(5 citation statements)

References 9 publications

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“…The software that met all the requirements and was ultimately selected for the calculations was Energy3D, a freely available CAD tool created by Dr Charles Xie and Dr Saeid Nourian with the intention to assist users at various levels of expertise with their studies [25]. Energy3D has been validated by R. Gajewski and P. Pieniążek [26] and compared against a variety of similar simulation software.…”

Section: Simulation Software Selectionmentioning

confidence: 99%

Solar cadastre for assessment of near-zero energy districts

Chatzigeorgiou

Martinopoulos

2023

IOP Conf. Ser.: Earth Environ. Sci.

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The building sector is responsible for approximately 40% of the total energy consumption in Europe, with most of it allocated to space heating. Additionally, a continuous increase has been observed in conventional energy prices, as well as a dependency of energy supply on geopolitical stability. Building energy independence and net zero energy buildings and districts are presented as a way to overcome these issues, with the addition of on-site renewable energy, and specifically solar energy, exploitation. The intention to utilise solar energy on-site creates the need for solar mapping in urban areas. A dynamic solar potential estimation is essential for the proper dimensioning of solar systems, and it is conducted in this study via the Energy3D software. A typical urban neighbourhood in Thessaloniki Greece is selected and a simplified version of a Solar Cadastre for the area is produced. The annual solar potential of the selected buildings is calculated and analysed, and the parameters affecting it are presented. Additionally, an estimation regarding the electricity production of typical photovoltaic panels installed on the building surfaces is conducted. The calculations highlight the importance of vertical facades as building integrated photovoltaic (BIPV) systems carriers.

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Section: Simulation Software Selectionmentioning

confidence: 99%

Solar cadastre for assessment of near-zero energy districts

Chatzigeorgiou

Martinopoulos

2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…Finally, Aladdin has a built-in physics engine that emulates solar energy and heat transfer processes to estimate building heating/ cooling as well as energy production for PV and CSP systems. Aladdin's energy estimates have been validated against the building energy simulation test (Gajewski and Pieniążek 2017). The platform likewise includes cost estimation for all designed systems.…”

Section: An Example Large Data For Design Research Platform: Aladdinmentioning

confidence: 99%

Large data for design research: An educational technology framework for studying design activity using a big data approach

Schimpf¹,

Goldstein²

2022

Front. Manuf. Technol.

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The complexity of design problems compels the collection of rich process data to understand designers. While some methods exist for capturing detailed process data (e.g., protocol studies), design research focused on design activities still faces challenges, including the scalability of these methods and technology transformations in industry that require new training. This work proposes the Large Data for Design Research (LaDDR) framework, which seeks to integrate big data properties into platforms dedicated to studying design practice and design learning to offer a new approach for capturing process data. This technological framework has three design principles for transforming design platforms: broad simulation scope, unobtrusive logging and support for creation and analysis actions. The case is made that LaDDR platforms will lead to three affordances for research and education: capturing design activities, context setting and operationalization, and research design scalability. Big data and design expertise are reviewed to show how this approach builds on past work. Next, the framework and affordances are presented. Three previously published studies are presented as cases to illustrate the ways in which a LaDDR platform’s affordances manifest. The discussion covers how LaDDR platforms can address the aforementioned challenges, including advancing human-technology collaboration and how this approach can be extended to other design platforms.

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“…In these tests the ANSI 140 standard uses an exemplary test building (Fig. 3) [59][60][61][62][63]. It also describes the thermal and physical properties of building elements, windows properties, schedules of internal gains, ventilation and thermostat control and heat transfer coefficients for all tests.…”

Section: Test Casesmentioning

confidence: 99%

Thermal - electrical analogy in dynamic simulations of buildings: Comparison of four numerical solution methods

Michalak

2020

Journal of Mechanical and Energy Engineering

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The lumped capacitance method is widely used in dynamic modelling of buildings. Models differ in complexity, solution methods and ability to simulate transient behaviour of described objects. The paper presents a mathematical description of a simple 1R1C thermal network model of a building zone. Four numerical methods were applied to solve differential equation describing its dynamics. For validation purposes two test cases (600 and 900) from the BESTEST procedure were used. In both cases detailed results were given. Better ability of the simulation model to reproduce transient behaviour of the modelled buildings was noticed in case of the lightweight object (case 600). Annual heating and cooling demand was within the reference range for heavyweight one (case 900). The kind of the computation method had no significant effect on simulation results.

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Building energy modelling and simulations: qualitative and quantitative analysis

Cited by 7 publications

References 9 publications

Solar cadastre for assessment of near-zero energy districts

Solar cadastre for assessment of near-zero energy districts

Large data for design research: An educational technology framework for studying design activity using a big data approach

Thermal - electrical analogy in dynamic simulations of buildings: Comparison of four numerical solution methods

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