ObepME: An online building energy performance monitoring and evaluation tool to reduce energy performance gaps

Jradi, Muhyiddine; Arendt, Krzysztof; Sangogboye, Fisayo Caleb; Mattera, Claudio Giovanni; Markoska, Elena; Kjærgaard, Mikkel Baun; Veje, Christian; Jôrgensen, Bo Nørregaard

doi:10.1016/j.enbuild.2018.02.005

Cited by 69 publications

(35 citation statements)

References 35 publications

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“…Finally, the method presented in this paper was designed in the context of a complete framework for FDD and energy performance monitoring in buildings systems, aiming at developing a continuous monitoring application [23]. In our previous work, we addressed issues at different levels in buildings systems.…”

Section: Discussionmentioning

confidence: 99%

Consensus-Based Method for Anomaly Detection in VAV Units

2019

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Buildings account for large part of global energy consumption. Besides energy consumed due to normal operation, a large amount of energy can be wasted due to faults in buildings subsystems. Fault detection and diagnostics techniques aim to identify faults and prevent energy waste, but are often difficult to apply in practice. Data-driven methods, in particular, require an adequate amount of fault-free training data, which is rarely available. In this paper, we propose a method for anomaly detection that exploits consensus among multiple identical components. Even if some of the components are faulty, their aggregate behaviour is overall correct, and it can be used to train a data-driven model. We test our method on variable-air-volume units in an existing building, executing two experiments grouping the components according to ventilation unit, and according to room type. The two experiments identified the same set of anomalous components, i.e., their behaviour was different from the rest of the group in both cases, and this suggests that the anomaly was not due to wrong group assignment. The proposed method shows the potential of exploiting consensus among multiple identical systems to detect anomalous ones.

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Section: Discussionmentioning

confidence: 99%

Consensus-Based Method for Anomaly Detection in VAV Units

2019

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“…An uncertainty analysis was carried out on an office building in [38], as part of examining the impact of different physical uncertainties in building performance, considering thermal comfort and energy requirement. In [39] an online building performance tool for fault detection and diagnostics in buildings was developed. Dynamic thermal simulation was adopted for assessing building envelope refurbishment in [40].…”

Section: Management Of Building Performancementioning

confidence: 99%

Minimising the Deviation between Predicted and Actual Building Performance via Use of Neural Networks and BIM

Hammad

2019

Buildings

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Building energy performance tools are widely used to simulate the expected energy consumption of a given building during the operation phase of its life cycle. Deviations between predicted and actual energy consumptions have however been reported as a major limiting factor to the tools adopted in the literature. A significant reason highlighted as greatly influencing the difference in energy performance is related to the occupant behaviour of the building. To enhance the effectiveness of building energy performance tools, this study proposes a method which integrates Building Information Modelling (BIM) with artificial neural network model for limiting the deviation between predicted and actual energy consumption rates. Through training a deep neural network for predicting occupant behaviour that reflects the actual performance of the building under examination, accurate BIM representations are produced which are validated via energy simulations. The proposed method is applied to a realistic case study, which highlights significant improvements when contrasted with a static simulation that does not account for changes in occupant behaviour.

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“…• a reliable dynamic simulation tool for the building energy performance analysis capable of reliably predicting the related energy demands and the indoor environmental conditions [67][68][69]; • a flexible tool to be used for the implementation of new add-on models able to suitably assess the energy performance of future building research challenges (e.g., innovative envelope integrated technologies and strategies, new energy efficiency construction materials, real users' interaction with the building indoor environmental control systems, innovative building plants, etc.) [48,70,71].…”

Section: Aim Of the Work And Content Of The Papermentioning

confidence: 99%

Building Energy Performance Analysis: An Experimental Validation of an In-House Dynamic Simulation Tool through a Real Test Room

et al. 2019

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This paper focuses on the experimental validation of a building energy performance simulation tool by means of a comparative analysis between numerical results and measurements obtained on a real test room. The empirical tests were carried out for several months under variable weather conditions and in free-floating indoor temperature regime (switched off HVAC system). Measurements were exploited for validating an in-house simulation tool, implemented in MatLab and called DETECt, developed for dynamically assessing the energy performance of buildings. Results show that simulated indoor air and surface room temperatures resulted in very good agreement with the corresponding experimental data; the detected differences were often lower than 0.5 °C and almost always lower than 1 °C. Very low mean absolute and percentage errors were always achieved. In order to show the capabilities of the developed simulation tool, a suitable case study focused on innovative solar radiation high-reflective coatings, and infrared low-emissivity materials is also presented. The performance of these coatings and materials was investigated through a comparative analysis conducted to evaluate their heating and cooling energy saving potentials. Simulation results, obtained for the real test cell considered as equipped with such innovative coatings and material, show that for the weather zone of Naples a 5% saving is obtained both in summer and in winter by simultaneously adopting a high-reflectance coating and a low- emissivity plaster for roof/external walls and interior walls, respectively.

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ObepME: An online building energy performance monitoring and evaluation tool to reduce energy performance gaps

Cited by 69 publications

References 35 publications

Consensus-Based Method for Anomaly Detection in VAV Units

Consensus-Based Method for Anomaly Detection in VAV Units

Minimising the Deviation between Predicted and Actual Building Performance via Use of Neural Networks and BIM

Building Energy Performance Analysis: An Experimental Validation of an In-House Dynamic Simulation Tool through a Real Test Room

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