The Experts below are selected from a list of 327 Experts worldwide ranked by ideXlab platform
Francesco Melino - One of the best experts on this subject based on the ideXlab platform.
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Thermo – Photo – Voltaic Generator Development
Energy Procedia, 2014Co-Authors: Claudio Ferrari, Francesco MelinoAbstract:AbstractThe growing demand of energy coupled with an increasing attention to the environmental impact have forced, in the last decades, toward the study and the development of new strategies in order to reduce primary energy consumptions.The coGeneration (CHP) and the on-Site Generation (also known as distributed Generation) could be the key strategy to achieve this goal; CHP systems allow to reduce the fuel consumption and pollutant emissions (in particular the greenhouse gases) compared to separate Generation; moreover on-Site-Generation contributes to the reduction of the energy which is lost in electricity transmission, and increases the security in the energy supply.In this scenario the Thermo–Photo–Voltaic Generation (TPV) is obtaining an increasing attention; TPV is a system to convert into electrical energy the radiation emitted from an artificial heat source (i.e. the combustion of fuel) by the use of photovoltaic cells. A domestic gas furnace based on this technology can provide the entire thermal need of an apartment and can also contributes to satisfy the electrical demand.In this paper, the main research activities on thermophotovoltaic Generation developed in the last years at Institute of Materials for Electronics and Magnetism (IMEM) of Italian National Research Council (CNR), of will be presented and discussed
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thermo photo voltaic generator development
Energy Procedia, 2014Co-Authors: Claudio Ferrari, Francesco MelinoAbstract:Abstract The growing demand of energy coupled with an increasing attention to the environmental impact have forced, in the last decades, toward the study and the development of new strategies in order to reduce primary energy consumptions. The coGeneration (CHP) and the on-Site Generation (also known as distributed Generation) could be the key strategy to achieve this goal; CHP systems allow to reduce the fuel consumption and pollutant emissions (in particular the greenhouse gases) compared to separate Generation; moreover on-Site-Generation contributes to the reduction of the energy which is lost in electricity transmission, and increases the security in the energy supply. In this scenario the Thermo–Photo–Voltaic Generation (TPV) is obtaining an increasing attention; TPV is a system to convert into electrical energy the radiation emitted from an artificial heat source (i.e. the combustion of fuel) by the use of photovoltaic cells. A domestic gas furnace based on this technology can provide the entire thermal need of an apartment and can also contributes to satisfy the electrical demand. In this paper, the main research activities on thermophotovoltaic Generation developed in the last years at Institute of Materials for Electronics and Magnetism (IMEM) of Italian National Research Council (CNR), of will be presented and discussed.
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Feasibility study of a Thermo-Photo-Voltaic system for CHP application in residential buildings
Applied Energy, 2012Co-Authors: Michele Bianchi, Claudio Ferrari, Francesco Melino, Antonio PerettoAbstract:Abstract The growing demand of energy coupled with an increasing attention to the environmental impact have forced, in the last decades, toward the study and the development of new strategies in order to reduce primary energy consumptions. The coGeneration (CHP) and the on-Site Generation (also known as distributed Generation) could be the key strategy to achieve this goal; CHP systems allow to reduce the fuel consumption and pollutant emissions (in particular the greenhouse gases) compared to separate Generation; moreover on-Site-Generation contributes to the reduction of the energy which is lost in electricity transmission, and increases the security in the energy supply. In this scenario the Thermo-Photo-Voltaic Generation (TPV) is obtaining an increasing attention; TPV is a system to convert into electrical energy the radiation emitted from an artificial heat source (i.e. the combustion of fuel) by the use of photovoltaic cells. A domestic gas furnace based on this technology can provide the entire thermal need of an apartment and can also contributes to satisfy the electrical demand. The aim of this study is the understanding of the behavior of a TPV in CHP application in case of residential buildings, under both the energetic and economical point of view; in particular a parametrical analysis is developed and discussed varying the TPV electrical efficiency, the thermal request and the apartment typology.
Claudio Ferrari - One of the best experts on this subject based on the ideXlab platform.
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Thermo – Photo – Voltaic Generator Development
Energy Procedia, 2014Co-Authors: Claudio Ferrari, Francesco MelinoAbstract:AbstractThe growing demand of energy coupled with an increasing attention to the environmental impact have forced, in the last decades, toward the study and the development of new strategies in order to reduce primary energy consumptions.The coGeneration (CHP) and the on-Site Generation (also known as distributed Generation) could be the key strategy to achieve this goal; CHP systems allow to reduce the fuel consumption and pollutant emissions (in particular the greenhouse gases) compared to separate Generation; moreover on-Site-Generation contributes to the reduction of the energy which is lost in electricity transmission, and increases the security in the energy supply.In this scenario the Thermo–Photo–Voltaic Generation (TPV) is obtaining an increasing attention; TPV is a system to convert into electrical energy the radiation emitted from an artificial heat source (i.e. the combustion of fuel) by the use of photovoltaic cells. A domestic gas furnace based on this technology can provide the entire thermal need of an apartment and can also contributes to satisfy the electrical demand.In this paper, the main research activities on thermophotovoltaic Generation developed in the last years at Institute of Materials for Electronics and Magnetism (IMEM) of Italian National Research Council (CNR), of will be presented and discussed
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thermo photo voltaic generator development
Energy Procedia, 2014Co-Authors: Claudio Ferrari, Francesco MelinoAbstract:Abstract The growing demand of energy coupled with an increasing attention to the environmental impact have forced, in the last decades, toward the study and the development of new strategies in order to reduce primary energy consumptions. The coGeneration (CHP) and the on-Site Generation (also known as distributed Generation) could be the key strategy to achieve this goal; CHP systems allow to reduce the fuel consumption and pollutant emissions (in particular the greenhouse gases) compared to separate Generation; moreover on-Site-Generation contributes to the reduction of the energy which is lost in electricity transmission, and increases the security in the energy supply. In this scenario the Thermo–Photo–Voltaic Generation (TPV) is obtaining an increasing attention; TPV is a system to convert into electrical energy the radiation emitted from an artificial heat source (i.e. the combustion of fuel) by the use of photovoltaic cells. A domestic gas furnace based on this technology can provide the entire thermal need of an apartment and can also contributes to satisfy the electrical demand. In this paper, the main research activities on thermophotovoltaic Generation developed in the last years at Institute of Materials for Electronics and Magnetism (IMEM) of Italian National Research Council (CNR), of will be presented and discussed.
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Feasibility study of a Thermo-Photo-Voltaic system for CHP application in residential buildings
Applied Energy, 2012Co-Authors: Michele Bianchi, Claudio Ferrari, Francesco Melino, Antonio PerettoAbstract:Abstract The growing demand of energy coupled with an increasing attention to the environmental impact have forced, in the last decades, toward the study and the development of new strategies in order to reduce primary energy consumptions. The coGeneration (CHP) and the on-Site Generation (also known as distributed Generation) could be the key strategy to achieve this goal; CHP systems allow to reduce the fuel consumption and pollutant emissions (in particular the greenhouse gases) compared to separate Generation; moreover on-Site-Generation contributes to the reduction of the energy which is lost in electricity transmission, and increases the security in the energy supply. In this scenario the Thermo-Photo-Voltaic Generation (TPV) is obtaining an increasing attention; TPV is a system to convert into electrical energy the radiation emitted from an artificial heat source (i.e. the combustion of fuel) by the use of photovoltaic cells. A domestic gas furnace based on this technology can provide the entire thermal need of an apartment and can also contributes to satisfy the electrical demand. The aim of this study is the understanding of the behavior of a TPV in CHP application in case of residential buildings, under both the energetic and economical point of view; in particular a parametrical analysis is developed and discussed varying the TPV electrical efficiency, the thermal request and the apartment typology.
Nesa Ilich - One of the best experts on this subject based on the ideXlab platform.
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An effective three-step algorithm for multi-Site Generation of stochastic weekly hydrological time series
Hydrological Sciences Journal, 2013Co-Authors: Nesa IlichAbstract:AbstractA new method is presented to generate stationary multi-Site hydrological time series. The proposed method can handle flexible time-step length, and it can be applied to both continuous and intermittent input series. The algorithm is a departure from standard decomposition models and the Box-Jenkins approach. It relies instead on the recent advances in statistical science that deal with Generation of correlated random variables with arbitrary statistical distribution functions. The proposed method has been tested on 11 historic weekly input series, of which the first seven contain flow data and the last four have precipitation data. The article contains an extensive review of the results.Editor D. KoutsoyiannisCitation Ilich, N., 2014. An effective three-step algorithm for multi-Site Generation of stochastic weekly hydrological time series. Hydrological Sciences Journal, 59 (1), 85–98.
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A simple method for effective multi-Site Generation of stochastic hydrologic time series
Stochastic Environmental Research and Risk Assessment, 2007Co-Authors: Nesa Ilich, Jovan DespotovićAbstract:This paper presents an algorithm for generating stationary stochastic hydrologic time series at multiple Sites. The ideas in this paper constitute a radical departure from commonly accepted methodologies. The approach relies on the recent advances in statistical science for simulating random variables with arbitrary marginal distributions and a given covariance structure, and on an algorithm for re-ordering the generated sub-sets of each synthetic year of data such that the annual auto-correlation of desired lag is maintained, along with the autocorrelations between the end of the preceding year and the beginning of the current year. The main features of the proposed algorithm are simplicity and ease of implementation. A numerical test is presented containing the Generation of 1000 years of weekly stochastic series for four Sites based on the 84 years of historical natural weekly flows from Southern Alberta in Canada.
Antonio Peretto - One of the best experts on this subject based on the ideXlab platform.
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Feasibility study of a Thermo-Photo-Voltaic system for CHP application in residential buildings
Applied Energy, 2012Co-Authors: Michele Bianchi, Claudio Ferrari, Francesco Melino, Antonio PerettoAbstract:Abstract The growing demand of energy coupled with an increasing attention to the environmental impact have forced, in the last decades, toward the study and the development of new strategies in order to reduce primary energy consumptions. The coGeneration (CHP) and the on-Site Generation (also known as distributed Generation) could be the key strategy to achieve this goal; CHP systems allow to reduce the fuel consumption and pollutant emissions (in particular the greenhouse gases) compared to separate Generation; moreover on-Site-Generation contributes to the reduction of the energy which is lost in electricity transmission, and increases the security in the energy supply. In this scenario the Thermo-Photo-Voltaic Generation (TPV) is obtaining an increasing attention; TPV is a system to convert into electrical energy the radiation emitted from an artificial heat source (i.e. the combustion of fuel) by the use of photovoltaic cells. A domestic gas furnace based on this technology can provide the entire thermal need of an apartment and can also contributes to satisfy the electrical demand. The aim of this study is the understanding of the behavior of a TPV in CHP application in case of residential buildings, under both the energetic and economical point of view; in particular a parametrical analysis is developed and discussed varying the TPV electrical efficiency, the thermal request and the apartment typology.
Robert Leconte - One of the best experts on this subject based on the ideXlab platform.
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Stochastic multi-Site Generation of daily weather data
Stochastic Environmental Research and Risk Assessment, 2008Co-Authors: Malika Khalili, François Brissette, Robert LeconteAbstract:Spatial autocorrelation is a correlation between the values of a single variable, considering their geographical locations. This concept has successfully been used for multi-Site Generation of daily precipitation data (Khalili et al. in J Hydrometeorol 8(3):396–412, 2007). This paper presents an extension of this approach. It aims firstly to obtain an accurate reproduction of the spatial intermittence property in synthetic precipitation amounts, and then to extend the multi-Site approach to the Generation of daily maximum temperature, minimum temperature and solar radiation data. Monthly spatial exponential functions have been developed for each weather station according to the spatial dependence of the occurrence processes over the watershed, in order to fulfill the spatial intermittence condition in the synthetic time series of precipitation amounts. As was the case for the precipitation processes, the multi-Site Generation of daily maximum temperature, minimum temperature and solar radiation data is realized using spatially autocorrelated random numbers. These random numbers are incorporated into the weakly stationary generating process, as with the Richardson weather generator, and with no modifications made. Suitable spatial autocorrelations of random numbers allow the reproduction of the observed daily spatial autocorrelations and monthly interstation correlations. The Peribonca River Basin watershed is used to test the performance of the proposed approaches. Results indicate that the spatial exponential functions succeeded in reproducing an accurate spatial intermittence in the synthetic precipitation amounts. The multi-Site Generation approach was successfully applied for the weather data, which were adequately generated, while maintaining efficient daily spatial autocorrelations and monthly interstation correlations.
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Efficient watershed modeling using a multi-Site weather generator for meteorological data
Geo-Environment and Landscape Evolution II: Monitoring Simulation Management and Remediation, 2006Co-Authors: Malika Khalili, Robert Leconte, François BrissetteAbstract:The multi-Site Generation of precipitation data is developed using a Richardson (1981) WGEN-type weather generator. This approach is based on spatial autocorrelation to analyze patterns in space and investigate the dependence of weather data at multiple locations. Reproducing the dependence between meteorological data at several stations should make the hydrological model results more realistic. The Chute du diable watershed and surrounding area located in the province of Quebec, Canada was used to test the proposed approach. Daily spatial autocorrelations between precipitation occurrences and amounts were successfully reproduced as well as total monthly precipitation and monthly numbers of rainy days. A hydrological model has been used to quantify the natural inflow process. As envisaged, the multi-Site Generation of weather data produced more practical natural inflow hydrographs, compared to those obtained using a uni-Site weather generator.
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OntheUseofMulti SiteGenerated Meteorological Input Datafor Realistic Hydrological Modeling intheContext of Climate ChangeImpactStudies.
2006Co-Authors: Malika Khalili, Robert LeconteAbstract:Weathergenerators havebeenusedsuccessfully fora widearrayofapplications suchas hydrology, agriculture, environmental studies andrecently climate changestudies. Unfortunately, mostweather modelsignored spatial dependence exhibited byweather series atmultiple Sites because ofclimatic phenomena, whichextend overa region rather thana station location andconstrain theobservations inagiven place tobecorrelated tothose inthesurrounding area. Themulti-Site Generation approach was thendeveloped andhasbeensuccessfully applied toprecipitation occurrencesand amounts. Inthis paper,theproposed multi-Site Generation approach will be usedtosimulate minimumandmaximum temperature data. Itanalyzes patternsinspaceandinvestigates thedependence ofweather dataatmultiple locations. Itaims atreproducing daily spatial autocorrelations inthesynthetic timeseries that areidentical tothoseobserved. ThePeribonca River BasinintheCanadian province ofQuebecwas usedandtheresults aregenerally satisfactory. Moreover, this multi-Site approach hasan important repercussion on thehydrological modelcompared totheuni-Site approach. Inorder toevaluate theeffects ofclimate changes on thePeribonca river basinhydrology, theparameters oftheweather generator will bemodified.
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On the Use of Multi Site Generated Meteorological Input Data for Realistic Hydrological Modeling in the Context of Climate Change Impact Studies
2006 IEEE EIC Climate Change Conference, 2006Co-Authors: Malika Khalili, Robert Leconte, François BrissetteAbstract:Weather generators have been used successfully for a wide array of applications such as hydrology, agriculture, environmental studies and recently climate change studies. Unfortunately, most weather models ignored spatial dependence exhibited by weather series at multiple Sites because of climatic phenomena, which extend over a region rather than a station location and constrain the observations in a given place to be correlated to those in the surrounding area. The multi-Site Generation approach was then developed and has been successfully applied to precipitation occurrences and amounts. In this paper, the proposed multi-Site Generation approach will be used to simulate minimum and maximum temperature data. It analyzes patterns in space and investigates the dependence of weather data at multiple locations. It aims at reproducing daily spatial autocorrelations in the synthetic time series that are identical to those observed. The Peribonca River Basin in the Canadian province of Quebec was used and the results are generally satisfactory. Moreover, this multi-Site approach has an important repercussion on the hydrological model compared to the uni-Site approach. In order to evaluate the effects of climate changes on the Peribonca river basin hydrology, the parameters of the weather generator will be modified.
