Search results for " energy demand"

showing 10 items of 19 documents

A comparative assessment of energy demand and life cycle costs for additive- and subtractive-based manufacturing approaches

2020

Abstract The applicability domain of Additive Manufacturing (AM) processes, apart from technological and quality results, relies on environmental and cost performance. These aspects still need to be better understood. To this aim, comparative analyses with conventional manufacturing routes are needed. In this paper, empirical cost and energy requirement models are suggested to assess subtractive- (machining) and additive- (Electron Beam Melting) based manufacturing approaches for the production of Ti-6Al-4V components. A life-cycle perspective is adopted, and all the steps from the input material production to the post-AM processing operations and the use phase are included. The analyses ha…

0209 industrial biotechnologyMaterials scienceAdditive manufacturingCostStrategy and Managementmedia_common.quotation_subjectSustainable manufacturing02 engineering and technologyManagement Science and Operations ResearchRaw materialIndustrial and Manufacturing EngineeringAdditive manufacturing; Cost; Decision support chart; Energy demand; Machining; Sustainable manufacturing020901 industrial engineering & automationMachiningDecision support chartComponent (UML)Production (economics)Quality (business)Process engineeringSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazionemedia_commonEnergy demandSubtractive colorEnergy demandbusiness.industry021001 nanoscience & nanotechnologyMachining0210 nano-technologybusinessApplicability domain
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Modeling Energy Demand Aggregators for Residential Consumers

2013

International audience; Energy demand aggregators are new actors in the energy scenario: they gather a group of energy consumers and implement a demand- response paradigm. When the energy provider needs to reduce the current energy demand on the grid, it can pay the energy demand aggregator to reduce the load by turning off some of its consumers loads or postponing their activation. Currently this operation involves only greedy energy consumers like industrial plants. In this paper we want to study the potential of aggregating a large number of small energy consumers like home users as it may happen in smart grids. In particular we want to address the feasibility of such approach by conside…

0209 industrial biotechnologydemand-response paradigm020209 energyEnergy current02 engineering and technologycomputer.software_genre7. Clean energyNews aggregatorload regulation[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]020901 industrial engineering & automationdemand side management; load regulation; queueing theory; smart power grids; demand-response paradigm; energy consumers; energy demand aggregator modeling; greedy energy consumers; home users; industrial plants; power load control; queuing theory; residential consumers; smart grids; Delays; Home appliances; Load modeling; Power demand; Sociology; Statistics; Switchesresidential consumerSociologySettore ING-INF/04 - Automatica0202 electrical engineering electronic engineering information engineeringindustrial plantenergy demand aggregator modelingDemand loadSimulationStatisticQueueing theoryDelayLoad modelingdemand side managementSettore ING-INF/03 - Telecomunicazionigreedy energy consumerpower load controlLoad balancing (electrical power)Poisson processEnvironmental economicsGridenergy consumerHome applianceSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaSmart gridQueueing theorymart gridLoad regulationqueuing theoryPower demandEnergy demand aggregatorsmart power gridcomputerSwitcheshome user
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Artificial Neural Networks to assess energy and environmental performance of buildings: An Italian case study

2019

Abstract Approximately 40% of the European energy consumption and a large proportion of environmental impacts are related to the building sector. However, the selection of adequate and correct designs can provide considerable energy savings and reduce environmental impacts. To achieve this objective, a simultaneous energy and environmental assessment of a building's life cycle is necessary. To date, the resolution of this complex problem is entrusted to numerous software and calculation algorithms that are often complex to use. They involve long diagnosis phases and are characterised by the lack of a common language. Despite the efforts by the scientific community in the building sector, th…

Artificial neural networkDecision support systemSettore ICAR/12 - Tecnologia dell'ArchitetturaDecision support toolComputer science020209 energyStrategy and ManagementSettore ICAR/11 - Produzione EdiliziaEnergy balance02 engineering and technologyBuilding energy demandNetwork topologyIndustrial and Manufacturing EngineeringEnvironmental dataEnvironmental impactLife cycle assessmentSoftware0202 electrical engineering electronic engineering information engineeringEnvironmental impact assessmentLife-cycle assessment0505 lawGeneral Environmental ScienceArtificial neural networkRenewable Energy Sustainability and the Environmentbusiness.industry05 social sciencesEnergy consumptionEnvironmental impactsIndustrial engineeringArtificial neural network; Building energy demand; Decision support tool; Energy balance; Environmental impacts; Life cycle assessment050501 criminologybusinessJournal of Cleaner Production
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Multiple criteria assessment of methods for forecasting building thermal energy demand

2020

Abstract Nowadays worldwide directives have focused the attention on improving energy efficiency in the building sector. The research of models able to predict the energy consumption from the first design and energy planning phase is conducted to improve building sustainability. Use of traditional forecasting tools for building thermal energy demand tends to encounter difficulties relevant to the amount of data required, implementation of the models, computational costs and inability to generalize the output. Therefore, many studies focused on the research and development of alternative resolution methods, but the choice of the most convenient is not clear and simple. Single comparison of s…

Artificial neural networkOperations researchComputer science020209 energy0211 other engineering and technologiesBuilding thermal energy demandDimensionless analysis02 engineering and technologyMultiple criteria assessmentForecasting method021105 building & construction0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringMultiple linear regressionCivil and Structural EngineeringData collectionbusiness.industryMechanical EngineeringBuilding and ConstructionEnergy consumptionEnergy planningIdentification (information)IncentiveRankingbusinessThermal energyEfficient energy useEnergy and Buildings
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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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Building energy performance forecasting: A multiple linear regression approach

2019

Abstract Different ways to evaluate the building energy balance can be found in literature, including comprehensive techniques, statistical and machine-learning methods and hybrid approaches. The identification of the most suitable approach is important to accelerate the preliminary energy assessment. In the first category, several numerical methods have been developed and implemented in specialised software using different mathematical languages. However, these tools require an expert user and a model calibration. The authors, in order to overcome these limitations, have developed an alternative, reliable linear regression model to determine building energy needs. Starting from a detailed …

Decision support systemComputer scienceCalibration (statistics)020209 energy02 engineering and technologyManagement Monitoring Policy and LawBuilding energy demandsymbols.namesake020401 chemical engineeringLinear regression0202 electrical engineering electronic engineering information engineeringSensitivity (control systems)0204 chemical engineeringReliability (statistics)Multiple linear regressionSettore ING-IND/11 - Fisica Tecnica AmbientaleMechanical EngineeringBuilding and ConstructionIndustrial engineeringPearson product-moment correlation coefficientDynamic simulationIdentification (information)Black box methodGeneral EnergysymbolsForecast methodSensitivity analysisDynamic simulation
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Results of a literature review on methods for estimating buildings energy demand at district level

2019

Abstract In the framework of distributed energy planning, evaluating reliable energy profiles of different sectors has a prominent role. At the same time, it is a quite challenging task, since the availability of actual energy profiles of buildings at the district level is not widespread. A survey of over 70 studies in scientific literature has been accomplished and a set of criteria has been defined for classifying the selected contributions based on the energy demand data features, source and/or estimation methods, highlighting the ones adopting hourly energy profiles. As final results, tables summarizing the main methods characteristics and a selection of studies providing directly useab…

Distributed energy systemComputer scienceUrban energy profiles estimation methodsBuildings hourly energy consumption020209 energyDistributed energy systems02 engineering and technologyScientific literatureBuildings hourly energy consumptionsIndustrial and Manufacturing EngineeringTask (project management)Urban energy profiles estimation methodTransport engineeringSet (abstract data type)Buildings hourly energy consumptions; Distributed energy systems; Urban district energy demand estimation; Urban district energy planning; Urban energy profiles estimation methods; Civil and Structural Engineering; Building and Construction; Pollution; Mechanical Engineering; Industrial and Manufacturing Engineering; Electrical and Electronic Engineering020401 chemical engineering0202 electrical engineering electronic engineering information engineering0204 chemical engineeringElectrical and Electronic EngineeringCivil and Structural EngineeringUrban district energy planningSettore ING-IND/11 - Fisica Tecnica AmbientaleEnergy demandbusiness.industryMechanical EngineeringBuilding and ConstructionEnergy planningPollutionGeneral EnergyDistributed generationUrban district energy demand estimationbusinessEnergy (signal processing)Level of detail
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The Role of re-design for Additive Manufacturing on the Process Environmental Performance

2018

Abstract At present, economic and technological design criteria for products and processes should be matched with the minimization of environmental impact objectives. Manufacturing, material production, and product design are strictly connected stages. The choice of a production system over another could result in significant material and energy/resource savings, particularly if the component has been properly designed for manufacturing. In this scenario, Additive Manufacturing, which has been identified as a potential disruptive technology, gained an increasing interest for the creation of complex metal parts. The paper focuses on the tools, based on the holistic modelling of additive and …

Energy demandProduct designComputer scienceProcess (engineering)Additive Manufacturing020209 energy02 engineering and technologyLife Cycle AssessmentSustainability; Additive Manufacturing; Life Cycle Assessment; Energy demandIndustrial and Manufacturing EngineeringManufacturing engineeringResource (project management)SustainabilityControl and Systems EngineeringComponent (UML)Sustainability0202 electrical engineering electronic engineering information engineeringGeneral Earth and Planetary SciencesProduction (economics)Environmental impact assessmentLife-cycle assessmentGeneral Environmental ScienceProcedia CIRP
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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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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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