| 1. |
- Albuquerque, Daniel, et al.
(författare)
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LES simulation of oscillating natural ventilation driven by vortex shedding in isolated buildings
- 2020
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Ingår i: Proceedings of Building Simulation 2019: 16th Conference of IBPSA. - : IBPSA. - 9781775052012 ; , s. 644-649
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Konferensbidrag (refereegranskat)abstract
- A recently published study presented a new type of natural ventilation (NV) flow, named pumping ventilation. The oscilatory mechanism of vortex shedding that occurs at the wake region of an isolated building drives this new type of ventilation in rooms with two (or more) openings facing the leeward or windward side of an isolated building. This paper presents a validated Large Eddy Simulation (LES) study of oscillating/pumping NV in an isolated building using three different separations (s') between its two windows. LES is validated using an experimental database from measurements performed at the University of Gavle boundary layer wind tunnel (WT). The measurements use a cubic model with 0.45m side representing a three-story building at a 1/20 scale that allows the use of bottom-hung windows. LES results show a good agreement with the measured non-dimensional ventilation rates. A dimensionless analysis shows the dominant frequencies of the pumping flow, are close to the Strouhal frequency.
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| 2. |
- de Rubeis, Tullio, et al.
(författare)
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A novel method for daylight harvesting optimization based on lighting simulation and data-driven optimal control
- 2020
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Ingår i: Proceedings of Building Simulation 2019: 16th Conference of IBPSA. - : IBPSA. - 9781775052012 ; 16, s. 1036-1043
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Konferensbidrag (refereegranskat)abstract
- To date, the best daylighting assessment technique is provided by climate-based simulation tools, which require remarkable efforts to create and calibrate realistic models. The data-driven approaches represent an interesting opportunity to support the physics-based modelling. This work proposes a novel method aimed at the optimization of energy use and luminous environment for a set of lighting control system solutions. The method processes experimental data of occupancy and lighting switch on/off events of an individual side-lit office in an academic building at high latitude via DIVA4Rhino; then, the climate-based simulation results provide the data necessary for the data-driven static optimal control that allow different control strategies of the lighting systems according to their lighting power density. The control allows optimal strategies giving priority to either energy saving or luminous environment improvement, depending on the energy efficiency of the lighting installation, while guaranteeing comfort base level. The results show that the method allows to achieve energy savings up to 18.6% by maintaining high visual comfort levels.
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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. |
- 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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