| 1. |
- Bergel Gomez, Ramon, 1992, et al.
(författare)
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Energy Performance Modelling: Introducing the Building Early-stage Design Optimization Tool (BeDOT)
- 2019
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Ingår i: Building Simulation Conference Proceedings. - : IBPSA. - 2522-2708. - 9781713809418 ; 1, s. 278-285
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Konferensbidrag (refereegranskat)abstract
- Aiming to aid the design process of buildings, their mechanical systems and materials from the perspective of building performance this paper presents the Building Early-stage Design Optimization Tool (BeDOT), a new set of tools for building early-stage design analysis, currently focused on energy performance modelling. The tool, programmed in Python and built upon ISO 13790:2008, has been implemented within Rhino/Grasshopper interface, which opens many possibilities for result visualization and optimization, besides easy geometry editing. BeDOT has been developed focusing on modularity, flexibility, fast processing and on the constant and unlimited cooperation of professionals. BeDOT has been tested against IDA-ICE for over 800 cases. Energy results lie within a range of 15% accuracy, with a slight tendency towards underestimation. Also, BeDOT has shown a better efficacy in the process of modelling buildings from geometry to results. The tool shows faster processing as well as a clearer path to build the geometry and attach information to every zone of the building(s). BeDOT’s process and accuracy are suitable for early design stages. Further development is needed to improve the handling of data and the program’s user-friendliness.
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| 2. |
- Fennell, P., et al.
(författare)
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Challenges and Lessons Learned in Applying Sensitivity Analysis to Building Stock Energy Models
- 2022
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Ingår i: Building Simulation Conference Proceedings. - : KU Leuven. - 2522-2708. ; , s. 2203-2210
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Konferensbidrag (refereegranskat)abstract
- Uncertainty Analysis (UA) and Sensitivity Analysis (SA) offer essential tools to determine the limits of inference of a model and explore the factors which have the most effect on the model outputs. However, despite a well-established body of work applying UA and SA to models of individual buildings, a review of the literature relating to energy models for larger groups of buildings undertaken by Fennell et al. (2019) highlighted very limited application at larger scales. This contribution describes the efforts undertaken by a group of research teams in the context of IEA-EBC Annex 70 working with a diverse set of Building Stock Models (BSMs) to apply global sensitivity analysis methods and compare their results. Since BSMs are a class of model defined by their output and coverage rather than their structure and inputs, they represent a diverse set of modelling approaches. Key challenges for the application of SA are identified and explored, including the influence of model form, input data types and model outputs. This study combines results from 7 different modelling teams, each using different models across a range of urban areas to explore these challenges and begin the process of developing standardised workflows for SA of BSMs.
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| 3. |
- Gentile, Niko, et al.
(författare)
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Teaching Building Performance Simulations to students with a diverse background by using a Control Method
- 2020
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Ingår i: Proceedings of Building Simulation 2019: 16th Conference of IBPSA. - : IBPSA. - 2522-2708. - 9781775052012 ; 3, s. 1579-1586
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Konferensbidrag (refereegranskat)abstract
- Performing advanced and reliable Building Performance Simulations (BPS) in order to study, for example, the energy use of future buildings is an important ability to gain as a future energy specialist. Learning and understanding BPS software and results may be arduous, notably for groups with disparate knowledge. Frustration may arise among students, making learning even more difficult. In this paper, we use questionnaires to evaluate the introduction of a so-called “control method” in the first BPS teaching module of a Master Programme attended by students with diverse backgrounds. The control method verifies – or controls - the results of a basic energy simulation of a traditional shoebox model with those obtained via an Excel sheet based on building code. Through a smoother and guided introduction of BPS to novices, the method aims to increase the level of confidence in BPS tools and more independence in the work. The questionnaires’ answers suggest that the method fulfils its goals to a reasonable extent.
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| 4. |
- Hagentoft, Carl-Eric, 1958, et al.
(författare)
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Impact of Variable Air Flow Rate in Energy Smart Window Curtains, on the Total Net Heat Gain- Analytical Solutions
- 2019
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Ingår i: Building Simulation Conference Proceedings. - : IBPSA. - 2522-2708. ; 16:1, s. 494-499
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Konferensbidrag (refereegranskat)abstract
- In this paper, the impact of variable air flow rate on the performance of the solar collector function of the Climate Curtain is evaluated. Climate Curtain is a new type of window curtain developed by the company Climate Curtains AB in Sweden. This curtain consists of several layers of stagnant air, and the solar collector function of this curtain captures some part of solar radiation striking the window; warmer air is forced into the room by fans mounted inside the curtain. The paper presents general and handy formulas which can be used to determine the impact of the curtain and its solar collector function, on the total net heat gain in the room. The solution presented is applicable on similar vertical air gaps to evaluate energy performance.
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| 5. |
- Hollberg, Alexander, 1985, et al.
(författare)
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Improving the collaboration between architects and energy consultants through design-integrated early BIM-tools
- 2019
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Ingår i: Building Simulation Conference Proceedings. - : IBPSA. - 2522-2708. - 9781713809418 ; 4, s. 2627-2633
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Konferensbidrag (refereegranskat)abstract
- There is a lack of optimization of buildings towards energy performance in early design stages in practice. Interviews with architects and energy consultants showed that one reason is the inefficient communication between these two groups. This paper investigates how a design-integrated early-BIM tool can improve the relation between architects and energy consultants to support an optimization process in early design stages and facilitate issuing energy performance certificates. Two case studies show that the early-BIM tool provides meaningful results for the architects involved and can reduce the input time for energy consultants by 50%. Furthermore, the simple 3D model functions as boundary object between the two groups and supports the collaboration.
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| 6. |
- Javanroodi, Kavan, 1988, et al.
(författare)
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Evaluating the impacts of urban form on the microclimate in the dense areas
- 2019
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Ingår i: Building Simulation Conference Proceedings. - : IBPSA. - 2522-2708. - 9781713809418 ; 5, s. 3586-3593
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Konferensbidrag (refereegranskat)abstract
- Urban form is consisting of several complex parameters which can affect urban microclimate in the energy calculations; most importantly the geometry of buildings, streets andcanopies. This study with a novel design-based approach generates 400 urban forms in the context of a dense urban area to evaluate the air flow and consequently the ventilation potential with the aids of CFD simulations in the warm months. Results, indicating the impacts of urban form on microclimate showed that by adopting some design-based suggestions, ventilation potential can be increased up to 17.5% even in severe air pollution conditions.
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| 7. |
- Mirzanamadi, Raheb, 1987, et al.
(författare)
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Numerical Investigation of Anti-Icing Road Surfaces using Hydronic Heating Pavement- Parametric Study
- 2019
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Ingår i: Building Simulation Conference Proceedings. - : IBPSA. - 2522-2708. - 9781713809418 ; 16, s. 425-431
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Konferensbidrag (refereegranskat)abstract
- An environmental friendly method to mitigate the slippery condition on road surfaces is to use a Hydronic Heating Pavement (HHP). The performance of the HHP system strongly depends on its design parameters. The aim of this study is to investigate the effects of different design parameters of the HHP system on the anti-icing operation of the road surface. A hybrid 3D numerical simulation model of HHP system is used to simulate the anti-icing operation. The numerical model is validated by an analytical solution. The validation result shows that the maximum relative error associated with the temperature decline along the pipe is less than 3% between the obtained results from the numerical simulation model and the analytical solution. The results show that the distance between pipes has the most significant effect on improving the anti-icing operation, so changing the distance from 400 mm to 50 mm resulted in a 90% decrease in the remaining number of hours of the slippery conditions on the road surface. The order of parameters, investigated in this study, associated with shortening the number of hours of the slippery condition on the road surface is: (i) the distance between the pipes, (ii) the fluid flow rate, (iii) the inlet temperature of fluid, (iv) the embedded depth of the pipe and (v) the pipe diameter.
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| 8. |
- Yang, Yuchen, et al.
(författare)
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Assessing the impacts of climate change on the german building stock
- 2019
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Ingår i: Building Simulation Conference Proceedings. - : IBPSA. - 2522-2708. ; 16, s. 3563-3568
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Konferensbidrag (refereegranskat)abstract
- This study investigates the impacts of future climate uncertainties in the new generation of future climate data sets according to AR5(5thassessment report of IPCC) on simulating the energy performance of buildings by studying the building stock in Germany (Potsdam). This work is based on two data bases, namely 'Tabula web tool- European building' and 'EPISCOP'. Software IDA ICE was used to make comprehensive energy simulation of buildings. Four different climate models and two representative concentration pathways (RCP 4.5 and RCP 8.5) were used in the assessment. Simulations run for three 30-year periods between 2010 to 2099. Effects of uncertainties induced by RCPs are thoroughly investigated for long time period. Through the comparison of energy simulation results, it is found that due to climate change, heating demand will decrease, however, cooling demand will increase. According to the results, for the second 30-yearperiod, the heating demand decreases by 7% and cooling demand increases by 16%, compared to the first 30-year period. By comparing the distribution of the data sets, it is also found that the uncertainty caused by the climate model has an estimated impact on the future heating (cooling) demand greater than the uncertainty caused by the time period. The change in heating demand due to climate change and uncertainty is relatively low and very large for cooling demand.
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