Search results for "bayesian calibration"

showing 3 items of 3 documents

An innovative approach to manage uncertainties and stock diversity in the EPBD cost-optimal methodology

2018

The EU Energy Performance of Buildings Directive (EPBD) 2010/31/EU is a step in the right direction to promote near zero energy buildings (NZEB) in a step-wise manner, starting with minimum energy performance and cost optimal thresholds for “reference buildings” (RBs) for each category. Nevertheless, a standard method for defining RBs does not exist, which led to a great divergence between MS in the level of detail used to define RBs for the EPBD cost-optimal analysis. Such lack of harmonisation between MS is further evident given the resulting large discrepancies in energy performance indicators even between countries having similar climate. Furthermore, discrepancies of 30% or higher betw…

Architecture and energy conservationZero-energy buildingSettore ING-IND/11 - Fisica Tecnica AmbientaleOperations researchStock modelling EPBD cost-optimal method Bayesian calibration reference zonesEnergy performance indicatorsbusiness.industryComputer scienceBayesian probabilityEnergy performanceEngineering MultidisciplinaryMühendislik Ortak DisiplinlerBuildings -- Energy conservationDirectiveSoftwareStock modellingEPBD cost-optimal methodBayesian calibrationreference zonesBuildings -- Energy conservation -- European Union countriesSustainable buildings -- Design and construction -- StandardsbusinessZoningBuildings -- Thermal propertiesStock (geology)
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Bayesian calibration of the nitrous oxide emission module of an agro-ecosystem model

2008

1. NitroEurope Open Science Conference on Reactive Nitrogen and the European Greenhouse Gas Balance ; Ghent (Belgique) - (2008-02-20 - 2008-02-21) / Conférence; Nitrous oxide (N2O) is the main biogenic greenhouse gas contributing to the global warming potential (GWP) of agro-ecosystems. Evaluating the impact of agriculture on climate therefore requires a capacity to predict N2O emissions in relation to environmental conditions and crop management. Biophysical models simulating the dynamics of carbon and nitrogen in agro-ecosystems have a unique potential to explore these relationships, but are fraught with high uncertainties in their parameters due to their variations over time and space. H…

Mean squared error[SDE.MCG]Environmental Sciences/Global ChangesBayesian probabilityparameter uncertainty010501 environmental sciencesAtmospheric sciences7. Clean energy01 natural sciencesEcology and Environment[ SDV.EE ] Life Sciences [q-bio]/Ecology environmentsymbols.namesake[STAT.AP] Statistics [stat]/Applications [stat.AP]Ecosystem modelgreenhouse gasesMarkov Chain Monte Carlo0105 earth and related environmental sciences2. Zero hunger[SDV.EE]Life Sciences [q-bio]/Ecology environment[STAT.AP]Statistics [stat]/Applications [stat.AP]EcologyMarkov chainnitrous oxideEcology[ STAT.AP ] Statistics [stat]/Applications [stat.AP]Global warmingMarkov chain Monte Carlo04 agricultural and veterinary sciences15. Life on land[ SDE.MCG ] Environmental Sciences/Global Changes[SDV.EE] Life Sciences [q-bio]/Ecology environment[SDE.MCG] Environmental Sciences/Global ChangesAgriculture and Soil Science13. Climate actionGreenhouse gas040103 agronomy & agriculturesymbols0401 agriculture forestry and fisheriesEnvironmental scienceProbability distributionAnimal Science and ZoologyCERES-EGCAgronomy and Crop Sciencebayesian calibration
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Assessment of building energy modelling studies to meet the requirements of the new Energy Performance of Buildings Directive

2020

Abstract The cost optimal method (COM) as applied in the Energy Performance of Buildings Directive (EPBD) uses “non-calibrated deterministic reference buildings (RBs)”. Such RBs are defined with single envelope and equipment parameter values, for which calibration with actual building stock energy performance (EP) is not undertaken. Thus, it is not possible to visualise the effect of uncertainties or diversity in the input parameters on cost-optimal level benchmarks and to verify the choice of RBs. The paper proposes an update to the COM via use of “Probabilistic Bayesian calibrated RBs” to handle uncertainties and produce more realistic cost optimal levels to support policy makers in devis…

Renewable Energy Sustainability and the EnvironmentComputer science020209 energyBayesian calibrationBayesian probabilityProbabilistic logicNew energyUncertainty analysiBuilding energy02 engineering and technologyBenchmarkingDirectiveReliability engineeringEPBD directive (EU) 2018/844Reference buildingEnergy intensity0202 electrical engineering electronic engineering information engineeringUrban building energy modellingEPBD cost-optimal methodUncertainty analysis
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