Calibration of Building Energy Simulation Models Based on Optimization: A Case Study

Monetti, Valentina; Davin, Elisabeth; Fabrizio, Enrico; André, Philippe; Filippi, Marco

doi:10.1016/j.egypro.2015.11.693

Cited by 56 publications

(23 citation statements)

References 3 publications

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“…There are several studies that reflect the need to calibrate the building energy simulation models [22]- [24], where some authors propose to improve the simulation using interpolated weather data to determine on-site meteorological parameters at the building location [25].…”

Section: Introductionmentioning

confidence: 99%

Implementing User Behaviour on Dynamic Building Simulations for Energy Consumption

Jimenez-Bescos

Oregi

2019

Environmental and Climate Technologies

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User behaviour influences the energy consumption of domestic properties with different range of variations and this has an effect on the results of building simulations based on default or general values, as opposed to implementing user behaviour. The aim of this paper is to evaluate and quantify the effect of implementing user behaviour in building dynamic simulation to calculate heating and domestic how water energy consumption to reduce the performance gap. The results for space heating and domestic hot water from dynamic building simulations will be compare to actual energy bills for a general building simulation technique and a calibrated building simulation, incorporating user behaviour details. By using user behaviour details to create calibrated building simulations, a correlation to actual energy bills of over 90 % can be achieved for a dataset of 22 properties. This study has shown that by incorporating user behaviour into building simulations, a more accurate estimation of energy consumption can be achieved. More importantly, the methodology approach allows the user behaviour parameters to be collected by means of a questionnaire, providing an easy and low budget approach to incorporate user behaviour into dynamic building simulations to reduce the performance.

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Section: Introductionmentioning

confidence: 99%

Implementing User Behaviour on Dynamic Building Simulations for Energy Consumption

Jimenez-Bescos

Oregi

2019

Environmental and Climate Technologies

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“…An incorrect evaluation of occupants' influence on buildings may query the reliability of simulation results due to discrepancies between predicted energy performance BUILD SIMUL (2019) 12: 1047-1061 https://doi.org/10.1007/s12273-019-0573-x and actual one (Yu et al 2011). A number of studies (Raftery et al 2011;Pan et al 2007;Monetti et al 2015;Royapoor and Roskilly 2015) show that wrong assumptions related to occupants are among the main causes for the incorrect building performance estimation by simulation tools. Samuelson et al (2015) performed a calibration study to show how on-site measured data can reduce this discrepancy, improving the gap between simulation and measured consumption from an initial deviation of 36% to a net 7%.…”

Section: Introductionmentioning

confidence: 99%

Occupant behavior in identical residential buildings: A case study for occupancy profiles extraction and application to building performance simulation

et al. 2019

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This study employs a simplified Knowledge Discovery in Database (KDD) to extract occupancy, equipment and light use profiles from a database referred to 12 all-electric prefabricated dwellings in the Netherlands. The profiles are then integrated into a building performance simulation (BPS) model using the software TRNSYS v17. The significance of the extracted profiles is verified by comparing the total and end-use yearly electricity consumption of the investigated dwellings as predicted by the simulation tool with on-site measurements. For the considered dwellings, using standard OB modeling results in an underestimation of the energy use intensity (EUI) by 5.9% to 42.5%, depending on the case. The integration of the occupant behavior (OB) profiles improves the total electricity consumption prediction from an initial 22.9% average deviation from measurements to 1.7%. The results corroborate that the 1.6x discrepancy observed in the buildings' energy use intensity could be entirely ascribed to OB. Then, the knowledge extracted from the households' database is used to propose a local electricity market framework to reduce the electricity bill and grid dependency of all households. This study confirms the need for appropriate OB modeling in BPS, it shows the potential of the KDD method for successful OB profiles extraction, and is a first example of data-mined OB profiles integration in BPS, as well as of OB profiles deployment for a practical application other than energy use prediction.

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“…The merits of energy consumption for both simulated and monitored buildings however, had been subjected to much dispute. Since the current building simulation had generally involved the designing, operating, diagnosing and commissioning stages [7], a major concern was then brought up on the possibility of the operational diagnostics and monitoring of buildings as resulting in additional energy assessment applications. With this in mind, a validation approach was therefore suggested to be included in the building simulation tool as a way of producing the correct results required in the prediction of its actual consumption usage.…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation of Overall Energy Performance in Algerian Office Building Integrated Photovoltaic Window under Semi-Arid Climate

Mesloub

Kandar

Lim³

2019

Journal of Daylighting

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Building integrated photovoltaic (BIPV) energy has now become one of the most significant renewable energy alternatives for providing natural daylight and clean energy. As such, this study was conducted for the first time in Algeria to experimentally evaluate the BIPV window energy and lighting energy savings of a typical office building under the semi-arid climate condition. Apart from using the Energy Plus and Integrated Environment Solution-Virtual environment (IES-VE) energy simulation tools in the experimental validation, the daylighting control method and the dynamic Useful Daylight Illuminance (UDI) were also utilized to analyse the daylighting performance as well as the lighting energy of BIPV windows with different transparency levels at various cardinal orientations. The field measurements had revealed the overall energy model to be consistent and in good agreement with the EnergyPlus and the IESVE simulation models, where the tested PV module was found to have provided not only a 20% Visible Light Transmittance (VLT) of uniformed daylight with low illuminance level, but also thermal comfort and a considerable amount of clean energy. The simulated results had demonstrated a substantial improvement in cooling energy and glare reduction of the PV modules as compared to the basemodel, where the only BIPV window configuration was achieved good area of UDI 300-700 lux is facing the South orientation and 30% VLT. In conclusion, the application of the thin film BIPV windows with different transparency and orientation levels can thus be regarded as an effective solution for minimizing the lighting energy consumption through its energy production instead of daylighting utilization.

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Calibration of Building Energy Simulation Models Based on Optimization: A Case Study

Cited by 56 publications

References 3 publications

Implementing User Behaviour on Dynamic Building Simulations for Energy Consumption

Implementing User Behaviour on Dynamic Building Simulations for Energy Consumption

Occupant behavior in identical residential buildings: A case study for occupancy profiles extraction and application to building performance simulation

Experimental Investigation of Overall Energy Performance in Algerian Office Building Integrated Photovoltaic Window under Semi-Arid Climate

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