Search results for "Building thermal balance"

showing 3 items of 3 documents

Building energy demand assessment through heating degree days: the importance of a climatic dataset

2019

Abstract The weather is one of the main factors to consider when designing a building because it represents the most important boundary condition to affect the dynamic behaviour of the building. In the literature, many studies use the degree day to predict building energy demand. However, linking the results obtained from a generic building simulation tool with defined degree days, will not give reliable energy evaluation. The goal of this study is to demonstrate that the assessment of building energy demand through the use of the degree day is correct only if the determination of the climate index is a function of the same weather data. The relationship between Heating Degree-Day and heati…

Decision support systemComputer science020209 energymedia_common.quotation_subject02 engineering and technologyManagement Monitoring Policy and LawDegree (temperature)Heating energy demandDegree day020401 chemical engineering0202 electrical engineering electronic engineering information engineeringSettore ING-IND/10 - Fisica Tecnica Industriale0204 chemical engineeringFunction (engineering)Reliability (statistics)media_commonHeating energy demand Degree days Building thermal balance Weather data Building simulation model Empirical correlationsSettore ING-IND/11 - Fisica Tecnica AmbientaleDegree dayMechanical EngineeringWork (physics)Building simulation modelBuilding and ConstructionEmpirical correlationsIndustrial engineeringGeneral EnergyEnergy (all)Weather dataEmpirical correlationBuilding thermal balanceDegree daysHeating degree dayEnergy (signal processing)
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ALTERNATIVE MODELS FOR BUILDING ENERGY PERFORMANCE ASSESSMENT

2020

The research activity carried out during the three years of the PhD course attended, at the Engineering Department of the University of Palermo, was aimed at the identification of an alternative predictive model able to solve the traditional building thermal balance in a simple but reliable way, speeding up any first phase of energy planning. Nowadays, worldwide directives aimed at reducing energy consumptions and environmental impacts have focused the attention of the scientific community on improving energy efficiency in the building sector. The reduction of energy consumption and CO2 emissions for heating and cooling needs of buildings is an important challenge for the European Union, be…

Settore ING-IND/11 - Fisica Tecnica AmbientaleBuilding thermal balance Alternative predictive models MLR Buckingham method ANN Multiple Criteria Assessment LCA
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Evaluation of building heating loads with dimensional analysis: Application of the Buckingham π theorem

2017

Abstract A detailed assessment of building energy performance requires a large amount of input data concerning building typology, environmental conditions, envelope thermophysical properties, geometry, control strategies, and several other parameters. Notwithstanding, the use of specialized software tools poses many challenges in regards to the retrieval of reliable and detailed information, setting a steep learning curve for engineers and energy managers. To speed up the preliminary assessment phase, it might be more convenient to resort to a simplified model that allows the evaluation of heating energy demand with a good level of accuracy and without excessive computational cost or user e…

Work (thermodynamics)Mathematical optimizationComputer science020209 energy02 engineering and technology010501 environmental sciencesTRNSYS01 natural sciencesdynamic simulationsSoftware0202 electrical engineering electronic engineering information engineeringElectrical and Electronic Engineeringdimensionless parameterEnvelope (mathematics)Simulation0105 earth and related environmental sciencesCivil and Structural EngineeringSettore ING-IND/11 - Fisica Tecnica Ambientalebusiness.industryMechanical Engineeringbuilding thermal balanceBuilding and ConstructionBuckingham π theoremBuckingham π theorembusinessEnergy (signal processing)Thermal energyDimensionless quantityEnergy and Buildings
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