Towards a New Generation of Building Envelope Calibration

Bandera, Carlos Fernández; Ruiz, Germán Ramos

doi:10.3390/en10122102

Cited by 35 publications

(28 citation statements)

References 29 publications

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“…For the application of this procedure, the BEM used in the optimization must be a calibrated energy model that accurately represents the building's energy performance. Several authors of previous research described the calibration process for detailed energy models [36][37][38][39][40]. In this case, the model is synthetic, which means that it is assumed to fit perfectly to the real building.…”

Section: Building Energy Model (Bem)mentioning

confidence: 99%

Photovoltaic Plant Optimization to Leverage Electric Self Consumption by Harnessing Building Thermal Mass

et al. 2020

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The self-consumption without surplus to the grid is one of the aspects of the new Spanish law for prosumers. Increasing the share of renewable energy sources into the grid inherently leads to several constraints. The mismatch between the energy demand and the renewable energy production, which is intermittent in nature, is one of those challenges. Storage offers the possibility to decouple demand and supply, and therefore, it adds flexibility to the electric system. This research evaluates expanding electricity self-consumption without surplus to the grid by harnessing thermal mass storage in the residential sector. The methodology is investigated by using a variable refrigerant flow air conditioner system. Because there is no option to export the excess capacity to the grid, this research proposes an approach to profiting from this surplus energy by activating structural thermal mass, which is quantified from the information acquired using a building energy model. For this purpose, an EnergyPlus model of a flat in Pamplona (Spain) was used. The optimization analysis was based on a set-point modulation control strategy. Results show that under adequate climatological circumstances, the proposed methodology can reduce the total electric energy from the grid between by 60– 80 % .

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Section: Building Energy Model (Bem)mentioning

confidence: 99%

Photovoltaic Plant Optimization to Leverage Electric Self Consumption by Harnessing Building Thermal Mass

et al. 2020

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“…On the other hand, such models require extensive knowledge of the system under test and cannot easily be extended to other systems. Correctly estimating the model's parameters is also a challenge [11].…”

Section: State-of-the-artmentioning

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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“…Because of that, each experiment requires a careful selection of the objective function. The authors have extensive experience on working with different objective functions in the same simulation environment [50,52,53].…”

Section: Simulation and Optimization Toolsmentioning

confidence: 99%

Exergy As a Measure of Sustainable Retrofitting of Buildings

Bandera

Mardones

et al. 2018

Energies

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This study presents a novel optimization methodology for choosing optimal building retrofitting strategies based on the concept of exergy analysis. The study demonstrates that the building exergy analysis may open new opportunities in the design of an optimal retrofit solution despite being a theoretical approach based on the high performance of a Carnot reverse cycle. This exergy-based solution is different from the one selected through traditional efficient retrofits where minimizing energy consumption is the primary selection criteria. The new solution connects the building with the reference environment, which acts as "an unlimited sink or unlimited sources of energy", and it adapts the building to maximize the intake of energy resources from the reference environment. The building hosting the School of Architecture at the University of Navarra has been chosen as the case study building. The unique architectural appearance and bespoke architectural characteristics of the building limit the choices of retrofitting solutions; therefore, retrofitting solutions on the façade, roof, roof skylight and windows are considered in multi-objective optimization using the jEPlus package. It is remarkable that different retrofitting solutions have been obtained for energy-driven and exergy-driven optimization, respectively. Considering the local contexts and all possible reference environments for the building, three "unlimited sinks or unlimited sources of energy" are selected for the case study building to explore exergy-driven optimization: the external air, the ground in the surrounding area and the nearby river. The evidence shows that no matter which reference environment is chosen, an identical envelope retrofitting solution has been obtained.

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Towards a New Generation of Building Envelope Calibration

Cited by 35 publications

References 29 publications

Photovoltaic Plant Optimization to Leverage Electric Self Consumption by Harnessing Building Thermal Mass

Photovoltaic Plant Optimization to Leverage Electric Self Consumption by Harnessing Building Thermal Mass

Consensus-Based Method for Anomaly Detection in VAV Units

Exergy As a Measure of Sustainable Retrofitting of Buildings

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