Search results for "Degree Day"

showing 10 items of 12 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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Impact of climate change on the timing of strawberry phenological processes in the Baltic States

2016

Climate change has been shown to impact aspects of agriculture and phenology. This study aims to quantify changes in the timing of garden strawberry blooms and harvests in the Baltic States using Regional Climate Models (RCMs). First, parameters for a strawberry phenology model based on the growing degree day (GDD) methodology were determined. Growing degree days were calculated using a modified sine wave method that estimates the diurnal temperature cycle from the daily maximum and minimum temperature. Model parameters include the base temperature and the required cumulative GDD sum, estimated from phenological and meteorological observations in Latvia for the years 2010–2013 via iterative…

lcsh:Geologyregional climate models.lcsh:QE1-996.5General Earth and Planetary Sciencesthermal time modelgrowing degree daysstrawberry phenologyWater Science and TechnologyEstonian Journal of Earth Sciences
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Time and heat for sexual reproduction: comparing the phenology of Chara hispida of two populations at different latitudes

2017

Abstract Geographical location affects the main ecological factors driving the timing of plants’ life events. In addition, studying phenology is the simplest procedure to track current global warming and its effects on the success and survival of different populations of the same species. Little is known about the effect of water temperature and its corresponding accumulated heat on charophytes’ phenology. We compared differences in water temperature and sexual reproductive phenology of Chara hispida in two ponds of two countries located at different latitudes (Spain and Switzerland) over the same year. We estimated the accumulated heat required to develop from one phenophase to another (un…

ddc:333.7-333.90106 biological scienceseducation.field_of_studyRange (biology)EcologyPhenology010604 marine biology & hydrobiologyPopulationGlobal warmingTemperaturePlant ScienceGrowing degree-dayAquatic ScienceBiology010603 evolutionary biology01 natural sciencesCharophytesGeographical factors Hopkins' Bioclimatic LawGrowing Degree DaysLatitudeSexual reproductionddc:550Mean radiant temperatureeducationAquatic Botany
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THERMAL TIME REQUIREMENT AND HARVEST TIME FORECAST FOR PEACH CULTIVARS WITH DIFFERENT FRUIT DEVELOPMENT PERIODS

2002

Non-linear models using growing degree hours (GDH), based on the choice of base, critical and optimum temperatures, have been successfully applied to calculate thermal time required for spring bud burst in deciduous fruit trees. The flexibility of the model can fit the wide range of temperatures that occur during the peach fruit development period (FDP), which takes place from early spring to late summer. In this experiment, fruit growth was studied in relation to thermal time accumulated from bloom to fruit harvest for peach and nectarine cultivars whose fruit development period range from 70 to 150 days. Thermal time was calculated in terms of degree days (DD) (base temperature 7 °C, and …

Settore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeDegree days Prediction Model Growing degree hoursHorticultureDeciduousPhenologyHarvest timeFruit developmentRipeningCultivarHorticultureBloomDegree (temperature)MathematicsActa Horticulturae
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Annual heating energy requirements of office buildings in a European climate

2016

Abstract The concept of implementing energy savings to reduce greenhouse gas emissions has become a key element of energy policies of any industrialized country. In the civil sector and specifically, energy savings for office buildings, there are still opportunities for further enhancements related to correctly determining the air conditioning thermal requirements. However, there is a lack of simple correlations that allow a preliminary assessment for a single building or correlations that can be quickly applied at the district level. This paper proposes several simple correlations that determine the heating loads of a typical office building by only knowing the Degree-Days of a specific Eu…

EngineeringSettore ING-IND/11 - Fisica Tecnica AmbientaleZero-energy buildingRenewable Energy Sustainability and the Environmentbusiness.industry020209 energyGeography Planning and DevelopmentBuilding modelTransportation02 engineering and technologyTRNSYSEnergy planningCivil engineeringEnergy policyAir conditioningEuropean Heating Degree Days Energy performance of office building Energy planning Thermal energy demandGreenhouse gas0202 electrical engineering electronic engineering information engineeringbusinessLevel of detailCivil and Structural EngineeringSustainable Cities and Society
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EFFECT OF FRUIT-SET TIME ON THE QUALITY PERFORMANCE OF ANNONA CHERIMOLA MILL. FRUIT

2019

The aim of this work was to analyze the differences between fruits obtained by different dates of fruit set and identify the proper fruit-set time that allows to obtain the optimum fruit quality in Annona cherimola cv Fino de Jete, planted in Southern Italy. Six fruit-set dates were selected from the first week of June to the second week of July. Fruits were sampled from October to November, when 1500 Growing Degree Days (DD) were accumulated; The DD were calculated using a base temperature of 12 °C. Fruit fresh weight (FW) and skin colour were measured. These parameters were measured also after storage, and in addition, the following parameters were measured: fruit shape (FS), pulp colour,…

Settore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeDegree Days Antioxidant Ascorbic Acid Polyphenol fruit shape Finode Jete
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Numerical Assessment of Heating Energy Demand for Office Buildings in Italy

2016

Abstract Buildings energy consumption depends on several parameters, such as climate, envelope typologies, occupant behavior, intended use, etc.; assessment of the energy performance of a building requires substantial input data describing constructions, environmental contexts, thermo-physical properties, geometry, control strategies and several other parameters influencing the thermal balance. In the last years, several numerical approaches dedicated to building simulation have been tested developing specialized software. On the other hand, simplified building models permit the evaluation of indoor conditions and heating/cooling loads with a good level of accuracy and without excessive com…

Engineering010504 meteorology & atmospheric sciencesbusiness.industry020209 energyControl (management)02 engineering and technologyEnergy consumptionTRNSYS01 natural sciencesCivil engineeringSet (abstract data type)SoftwareEnergy(all)0202 electrical engineering electronic engineering information engineeringShape factorbusinessHeating degree daySimulation0105 earth and related environmental sciencesEnvelope (motion)Energy Procedia
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Considerations about an indicator aimed at describing the energy efficiency of buildings with innovative envelope components at different climatic co…

2020

Green roofs are building components that have become increasingly common in urban contexts because other than the general improvement of the aesthetics of the buildings equipped with them, they have demonstrated to positively improve the building energy performance. Consequently, it would be useful for technicians to have easy and reliable indicators to achieve a synthetic quantitative judgement about the effectiveness of green roofs by an energy perspective compared to others building envelope technologies, for different climates. In sight of the definition of such an indicator, or at least of its properties, some considerations aimed at this purpose, especially concerning the use of new c…

green roofArchitectural engineeringSettore ING-IND/11 - Fisica Tecnica AmbientaleDegree DayComputer scienceLeaf Area Index020209 energycool roofJudgement0211 other engineering and technologiesBuilding energy02 engineering and technologyEnergy consumptionBuilding energy efficiencyclimatic vector021105 building & construction0202 electrical engineering electronic engineering information engineeringHeating degree dayBuilding envelopeEnvelope (motion)Efficient energy use2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
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SINGLE FACTOR STOCHASTIC MODELS WITH SEASONALITY APPLIED TO UNDERLYING WEATHER DERIVATIVES VARIABLES

2003

This paper estimates single factor stochastic models describing daily air temperature behaviour. We modify classical financial models to reflect temperature seasonality and fit them to a time series representing temperatures in Spain. The estimated models are used in Montecarlo simulations to obtain heating and cooling degree-days, which are used as an underlying reference in weather derivatives. The final goal of this work is to obtain an insight into weather derivative valuation, and so making it easier to manage economic activity risks closely related to temperature (i.e. oil, gas and electricity prices and volumes). En este trabajo se estiman modelos estocásticos unifactoriales que desc…

Series (mathematics)Stochastic modellingMonte Carlo methodSingle factorWeather derivativeGrados Día Frío Energía Grados Día Calor Estacionalidad Modelos estocásticos y Derivados de la meteorología. Cooling Degree-days Energy Heating Degree-days Seasonality Stochastic Models Weather Derivatives.Seasonalitymedicine.diseasejel:G12jel:G10Valuation (logic)EconometricsmedicineEnvironmental scienceFinancial modelingHeating degree dayFinanceMathematics
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Modelling relationship among energy demand, climate and office building features: A cluster analysis at European level

2016

Abstract More than one-third of the energy demand of industrialised countries is due to achieving acceptable conditions of thermal comfort and lighting in buildings. Energy demand in buildings depends on a combination of several parameters, such as climate, envelope typologies, occupant behaviour, and intended use. Indeed, assessing a building’s energy performance requires substantial input data describing constructions, environmental conditions, envelope thermo-physical properties, geometry, control strategies, and several other parameters. This has been a very active area of research in recent years, and several numerical approaches have been developed for building simulation; furthermore…

EngineeringHigh-energy performance020209 energyClimate02 engineering and technology010501 environmental sciencesManagement Monitoring Policy and LawTRNSYS01 natural sciencesThermal energy demand0202 electrical engineering electronic engineering information engineeringCluster analysiShape factorSimulation0105 earth and related environmental sciencesSettore ING-IND/11 - Fisica Tecnica Ambientalebusiness.industryMechanical EngineeringThermal comfortBuilding and ConstructionIndustrial engineeringGeneral EnergyWork (electrical)Learning curveHeating Degree DaybusinessHeating degree dayEnergy (signal processing)Thermal energyEnvelope (motion)
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