Model calibration for building energy efficiency simulation

Mustafaraj, G.; Marini, Dashamir; Costa, Andrea; Keane, Marcus

doi:10.1016/j.apenergy.2014.05.019

Cited by 166 publications

(87 citation statements)

References 15 publications

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“…Next, a comparison of the monthly average values of the average radiant temperature, internal ambient temperature and operating temperature, obtained firstly in experimental and mathematical form (Table 4) The objective is to calibrate the simulated model to obtain in later simulations [13], [14]. The winter period is defined as the period from 1 December to 30 April, and the summer period from 1 May to 30 November.…”

Section: Monitored Resultsmentioning

confidence: 99%

Energy Efficiency of Ventilated Façades: Residential Buildings, Alicante, Spain

Fernández¹,

Iribarren²,

Iribarren³

2017

WIT Transactions on the Built Environment

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Ventilated façades with external thermal insulation contribute to the construction, in certain climatologies, of a great energetic efficiency in the thermal envelope of the building. This façade allows to eliminate the thermal bridges, reduce the energy demand and improve the level of comfort. These pages describe the research carried out in an isolated residential block in the city centre of Alicante. The house has two façades with different orientation: a ventilated façade (north) and a conventional façade (south). The first one is solved with two sheets of brick, the air camera, the external continuous insulation, the ventilated chamber and the pieces of porcelain stoneware to the outside. The conventional one consists of two sheets with intermediate thermal insulation. The outer sheet is composed of facing brick and the inner sheet by hollow brick of minor thickness with plaster. This system was correct according to the norm NBE-CT-79, but it has been shown that it is insufficient to reach the levels of habitability and the comfort of the current society. The two façades, as well as their adjacent living spaces, have been monitored over a period of two years. Internal and external temperature and humidity, solar radiation, air velocity in the ventilated chamber and surface temperature of each of the material layers of the sections have been obtained. A thermographic study of the two chambers was carried out to determine the thermal bridges and the air infiltration. Through the use of energy simulation tools, comparative results of some parameters have been obtained in both constructive solutions, such as thermal transmissions, average radiant temperatures, operating temperatures or energy demands. By that, we can obtain the conclusions of thermal comfort levels and energy savings of ventilated façades.

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Section: Monitored Resultsmentioning

confidence: 99%

Energy Efficiency of Ventilated Façades: Residential Buildings, Alicante, Spain

Fernández¹,

Iribarren²,

Iribarren³

2017

WIT Transactions on the Built Environment

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“…For integrated energy scenario analysis, where building and grid models need to be combined, a linear representation of building energy performance is 55 required. Integrated models of this nature will facilitate comprehensive building thermal performance assessment, such as building retrofit analysis or the effect of increased penetration of electrified space and water heating systems, in the context of wider integration of renewable energy generation into the electricity grid.…”

Section: Modelling Integrated Building and Grid Retrofit Policiesmentioning

confidence: 99%

“…Hence the room temperature may not reach the set-point. in the building modelling literature [55,56]. ASHRAE Guideline 14-2000 [57] states that a model can be deemed as calibrated if the CV(RMS E) deviates by less than 10% for annual metered energy data and 30% for hourly metered energy data.…”

Section: Lumped Parameter Model Calibration Via Particle Swarm Optimimentioning

confidence: 99%

Ensemble Calibration of lumped parameter retrofit building models using Particle Swarm Optimization

Andrade-Cabrera

Burke

Turner

et al. 2017

Energy and Buildings

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Publication informationEnergy and Buildings, 155 : 513-532 Publisher ElsevierItem record/more information http://hdl.handle.net/10197/9117 Publisher's statement þÿ T h i s i s t h e a u t h o r s v e r s i o n o f a w o r k t h a t w a s a c c e p t e d f o r p u b l i c a t i o n i n E n e r g y a n dBuildings. Changes resulting from the publishing process, such as peer review, editing, AbstractSimulation-based building retrofit analysis tools and electricity grid expansion planning tools are not readily compatible. Their integration is required for the combined study of building retrofit measures and electrified heating technologies using low carbon electricity generation. The direct coupling of these modelling frameworks requires the explicit mathematical representation of Energy Conservation Measures (ECMs) in building-to-grid energy system models. The current paper introduces an automated calibration methodology which describes retrofitted buildings as parametric functions of ECMs. The buildings are represented using a lumped parameter modelling framework. A baseline model, representative of the building prior to retrofit, and the retrofit functions are calibrated using Particle Swarm Optimisation. Synthetic temperature and heating load time-series data were generated using an EnergyPlus semi-detached house archetype model. The model is representative of this residential building category in Ireland.It is shown that the proposed methodology calibrates retrofitted building models to an acceptable level of accuracy (MAE below 0.5°C). The methodologies introduced in the current paper are capable of generating lumped parameter building models with similar dynamics for different ECMs for any archetype building energy model. The identified building retrofit models have the potential to be integrated with electricity grid models in a computationally-efficient manner.

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“…It involves tuning or refining initial input parameters in a heuristic manner, relying heavily on the experience and expertise of the modeler [27,28]. Manual calibration utilizes building characteristics data from audits, energy use and zone condition monitoring, or active functional testing, to gain an intimate knowledge of the physical and operational characteristics of the building [19,21,29]. Graphical techniques have been widely used in manual calibration to visually show the differences between measured and computed results, following manual parameter tuning [28,[30][31][32][33].…”

Section: Introductionmentioning

confidence: 99%

“…Three critical reasons to conduct model calibration are to provide improved accuracy of building energy performance models [16], provide insights into a building's thermal or electric hourly load shapes [17], and better predict the potential energy savings of energy conservation measures [18]. The calibration target is to match the simulated energy consumption [11,[19][20][21], indoor air temperature [6,22], operation conditions of HVAC equipment [18], and/or cooling/heating loads [6,18,23] to the actual measured data of the building, on a specific time scale. The calibration time scale usually depends on the calibration purpose and the accuracy level of available inputs.…”

Section: Introductionmentioning

confidence: 99%