Search results for "Energy Modelling"

showing 2 items of 2 documents

Novel Energy Modelling and Forecasting Tools for Smart Energy Networks

2015

A novel Energy Modelling and Forecasting Tool (EMFT) has been adopted for use in the VIM SEN (Virtual Microgrids for Smart Energy Networks) project and this paper gives an insight of the techniques used to provide vital support to the energy market, in particular to energy aggregators. A brief description of one of the test sites where data has been collected for validation of the EMFT will be outlined and some examples shown. The information and predictions will then be used by a decision support system to dynamically adjust energy delivery and consumption, by giving advice to users and operators on actions they can take to obtain a better match between energy supply and demand that increa…

Consumption (economics)EngineeringDecision support systembusiness.industrySettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciIndustrial engineeringSettore ING-IND/31 - ElettrotecnicaWork (electrical)Range (statistics)Process controlEnergy marketEnergy Modelling Forecasting Smart grids energy managmentDuration (project management)businessSettore ING-INF/07 - Misure Elettriche E ElettronicheSimulationEnergy (signal processing)2015 International Conference on Renewable Energy Research and Applications (ICRERA)
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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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