Search results for " Sustainability and the Environment"

showing 10 items of 1854 documents

Energy management of multi-carrier smart buildings for integrating local renewable energy systems

2016

The proposed paper aims at defining a Building Management System (BMS) able to control energy flows inside a smart building integrated with various energy networks and Renewable Energy Resources (RES). The smart building envisaged in this work interacts with different energy carriers and is equipped with cogeneration and RES systems, as well as storage devices, which enable a certain degree of flexibility in the energy usage. The smart building is modelled as a multi-carrier hub, by defining the graphical and mathematical model of the building system. Moreover, the control criteria of the BMS are explained and the implementation of the BMS itself is depicted, along with some early results. …

Architectural engineeringEngineeringEnergy management020209 energyEnergy Engineering and Power TechnologyBuilding management system02 engineering and technologySettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettrici7. Clean energyEnergy engineeringDistric control11. SustainabilityEnergy optimization0202 electrical engineering electronic engineering information engineeringBuilding automationFlexibility (engineering)Energy carrierBuilding management systembusiness.industryRenewable Energy Sustainability and the EnvironmentMulti-carrier hubSmart buildingRenewable energySettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaElectricity generationSystems engineeringbusiness
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Vernacular and bioclimatic architecture and indoor thermal comfort implications in hot-humid climates: An overview

2018

Abstract Sustainable urban development, especially in disadvantaged regions, has increasingly gained a major strategic priority. New settlements and urban regeneration programs have to achieve an improvement of social life quality, promote economic growth and increase environmental protection practices and proper use of local resources. In this framework, building environment development must exploit natural resources with responsible approach by using local materials and traditional techniques. In this end, indoor comfort and energy consumption have to match the territories needs. Low energy and passive heating/cooling techniques should be considered as a valid option in many building proj…

Architectural engineeringEngineeringSettore ING-IND/11 - Fisica Tecnica AmbientaleExploitRenewable Energy Sustainability and the Environmentbusiness.industry020209 energymedia_common.quotation_subjectSettore ICAR/14 - Composizione Architettonica E UrbanaThermal comfortNatural ventilation02 engineering and technologyEnergy consumptionNatural resourceSettore ICAR/12 - Tecnologia Dell'ArchitetturaUrban planningSustainable development Vernacular architecture Natural building materials Adaptive comfort model PMVe / aPMV / POR method0202 electrical engineering electronic engineering information engineeringQuality (business)Architecturebusinessmedia_common
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Improvement of Energy Efficiency for Indoor Lighting in a Big Shopping Center

2018

As the progressive diffusion of shopping centers in Italy, the paper analysis the potential energy savings in the indoor lighting plant, thanks to new technologies as LED lamps and Building Automation System. The case study, applied to a big shopping mall in the middle of Italy, shows great results, thanks to the high efficiency of LED technology, high number of operating hours and the implementation of a control system. An economic and environmental evaluation is reported.

Architectural engineeringEnvironmental evaluationEnvironmental EngineeringEmerging technologiesComputer science020209 energyEnergy Engineering and Power Technology02 engineering and technologyIndustrial and Manufacturing Engineeringlaw.inventionlaw0502 economics and business0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringBuilding automationSettore ING-IND/11 - Fisica Tecnica Ambientalebusiness.industryRenewable Energy Sustainability and the EnvironmentShopping mall05 social sciencesLEDEnergy SavingEnergy consumptionshopping centerLED lampindoor lighting plantHardware and Architecturebusiness050203 business & managementEfficient energy use
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Life cycle energy performances and environmental impacts of a prefabricated building module

2018

Abstract The paper explores the energy performances and environmental impacts of a prefabricated building module located in Messina (Sicily, Italy) through an approach that combines both the non-steady state building simulation and the Life Cycle Assessment methodology. The building uses renewable energy technologies and is usable in emergency situations or as simply temporary housing. Results show that the building module causes the emission of 1.5 t of CO2eq/m2 and consumes 29.2 GJ/m2 of primary energy during its life cycle. The building achieves the Net Zero Energy Building target even if it has relevant environmental impacts in the materials production stage (72% on average of the total…

Architectural engineeringZero-energy buildingSettore ING-IND/11 - Fisica Tecnica AmbientalePrimary energybusiness.industryNZEBRenewable Energy Sustainability and the Environment020209 energyLCANet zero energy building02 engineering and technologyUSableEmergency situationsEdilizia sostenibileRenewable energyBuilding simulationLife cycle assessmentPrefabricated building0202 electrical engineering electronic engineering information engineeringProduction (economics)Environmental sciencebusinessLife-cycle assessmentEnergy (signal processing)
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Multi-objective optimization of building life cycle performance. A housing renovation case study in Northern Europe

2020

While the operational energy use of buildings is often regulated in current energy saving policies, their embodied greenhouse gas emissions still have a considerable mitigation potential. The study aims at developing a multi-objective optimization method for design and renovation of buildings incorporating the operational and embodied energy demands, global warming potential, and costs as objective functions. The optimization method was tested on the renovation of an apartment building in Denmark, mainly focusing envelope improvements as roof and exterior wall insulation and windows. Cellulose insulation has been the predominant result, together with fiber cement or aluminum-based cladding …

Architectural engineeringbuilding renovationLow-energy buildings020209 energylcsh:TJ807-830Geography Planning and Developmentlcsh:Renewable energy sources02 engineering and technology010501 environmental sciencesManagement Monitoring Policy and Law01 natural sciencesMulti-objective optimizationLife cycle assessmentlife cycle assessment0202 electrical engineering electronic engineering information engineeringBuilding life cycleCellulose insulationRoofLife-cycle assessmentlcsh:Environmental sciences0105 earth and related environmental scienceslcsh:GE1-350Settore ING-IND/11 - Fisica Tecnica Ambientalelow-energy buildingBuilding renovation Embodied Life cycle assessment Low-energy building Multiobjective optimizationRenewable Energy Sustainability and the Environmentlcsh:Environmental effects of industries and plantsEmbodiedSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaMulti-objective optimizationGlazinglcsh:TD194-195multi-objective optimizationGreenhouse gasembodiedEnvironmental scienceEmbodied energyBuilding renovation
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A Survey on Daylighting Education in Italian Universities : Knowledge of Standards, Metrics and Simulation Tools

2021

Daylighting is a strategic topic to achieve sustainable buildings, so it is more and more imperative that it is implemented in architecture curricula to prepare a new generation of daylighting-oriented practitioners. In this frame, the DAYKE project (Daylight Knowledge in Europe) was set up to explore the level of knowledge about daylighting among European professionals and students. DAYKE-Europe was replicated as DAYKE-Italy to study the knowledge of daylight standards, metrics and software among Italian architecture students, and to compare it to that observed within DAYKE-Europe. A sample of 542 questionnaires were collected in five universities. Primary outcomes were: (i) a general low …

Architectural engineeringlcsh:TH2025-3000Renewable Energy Sustainability and the EnvironmentComputer scienceDaylighting education Italian university student DAYKE survey Daylight metricsDAYKE surveylcsh:Details in building design and construction. Including walls roofsDaylighting educationDaylight metricsItalian university studentDaylightingEnergy (miscellaneous)
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Fluorogenic detection of Tetryl and TNT explosives using nanoscopic-capped mesoporous hybrid materials

2013

[EN] A hybrid capped mesoporous material, which was selectively opened in the presence of Tetryl and TNT, has been synthesised and used for the fluorogenic recognition of these nitroaromatic explosives.

Aromatic compoundsINGENIERIA DE LA CONSTRUCCIONMaterials scienceExplosive materialTECNOLOGIA DE ALIMENTOSInorganic chemistryNanotechnologyNitroaromatic explosivesSilica nanoparticleschemistry.chemical_compoundNitroaromatic explosivesQUIMICA ORGANICAExplosives detectionQUIMICA ANALITICAGeneral Materials ScienceNanoscopic scaleRenewable Energy Sustainability and the EnvironmentQUIMICA INORGANICAGeneral ChemistryTetrylSilica nanoparticlesMesoporous materialsFluorogenicschemistryMesoporous hybridsHybrid materialsHybrid materialMesoporous material
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Artificial Neural Networks to Predict the Power Output of a PV Panel

2014

The paper illustrates an adaptive approach based on different topologies of artificial neural networks (ANNs) for the power energy output forecasting of photovoltaic (PV) modules. The analysis of the PV module’s power output needed detailed local climate data, which was collected by a dedicated weather monitoring system. The Department of Energy, Information Engineering, and Mathematical Models of the University of Palermo (Italy) has built up a weather monitoring system that worked together with a data acquisition system. The power output forecast is obtained using three different types of ANNs: a one hidden layer Multilayer perceptron (MLP), a recursive neural network (RNN), and a gamma m…

Article SubjectArtificial neural networkRenewable Energy Sustainability and the EnvironmentComputer scienceneural networklcsh:TJ807-830Computer Science::Neural and Evolutionary ComputationPhotovoltaic systemlcsh:Renewable energy sourcesControl engineeringGeneral ChemistrySolar irradianceNetwork topologyAtomic and Molecular Physics and OpticsBackpropagationphotovoltaicsRecurrent neural networkElectricity generationMultilayer perceptronneural networks; photovoltaicsGeneral Materials SciencePhysics::Atmospheric and Oceanic Physics
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Assessment of the Operating Temperature of Crystalline PV Modules Based on Real Use Conditions

2014

Determining the operating temperatureTcof photovoltaic panelsPVis important in evaluating the actual performance of these systems. In the literature, different correlations exist, in either explicit or implicit forms, which often do not account for the electrical behaviour of panels; in this way, estimatingTcis based only on the passive behaviour of thePV. In this paper, the authors propose a new implicit correlation that takes into account the standard weather variables and the electricity production regimes of aPVpanel in terms of the proximity to the maximum power points. To validate its reliability, the new correlation was tested on two different PV panels (Sanyo and Kyocera panels) and…

Article Subjectpv panels; convective exchange;Maximum power principleRenewable Energy Sustainability and the EnvironmentComputer sciencemedia_common.quotation_subjectlcsh:TJ807-830Photovoltaic systemlcsh:Renewable energy sourcesGeneral ChemistryAtomic and Molecular Physics and OpticsReliability engineeringElectricity generationOperating temperaturepv panelGeneral Materials ScienceQuality (business)Reliability (statistics)media_commonconvective exchange
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Biodegradability Prediction of Fragrant Molecules by Molecular Topology

2016

Biodegradability is a key property in the development of safer fragrances. In this work we present a green methodology for its preliminary assessment. The structure of various fragrant molecules is characterized by computing a large set of topological indices. Those relevant to biodegradability are selected by means of a hybrid stepwise selection method to build a linear classifier. This model is compared with a more complex artificial neural network trained with the indices previously found. After validation, the models show promise for time and cost reduction in the development of new, safer fragrances. The methodology presented could easily be adapted to many quasi-big data problems in R…

Artificial neural network010405 organic chemistryRenewable Energy Sustainability and the EnvironmentComputer scienceStatistical learningGeneral Chemical EngineeringNanotechnologyLinear classifierGeneral Chemistry01 natural sciences0104 chemical sciencesCost reduction010404 medicinal & biomolecular chemistryDevelopment (topology)SAFEREnvironmental ChemistryBiodegradability predictionBiochemical engineeringMolecular topologyACS Sustainable Chemistry & Engineering
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