Rivista e Edizione

Volume 16 (2021): Edizione 4 (December 2021)

Volume 16 (2021): Edizione 3 (September 2021)

Volume 16 (2021): Edizione 2 (June 2021)

Volume 16 (2021): Edizione 1 (March 2021)

Volume 15 (2019): Edizione 4 (December 2019)

Volume 15 (2019): Edizione 3 (September 2019)

Volume 15 (2019): Edizione 2 (June 2019)

Volume 15 (2019): Edizione 1 (March 2019)

Volume 14 (2018): Edizione 4 (December 2018)

Volume 14 (2018): Edizione 3 (September 2018)

Volume 14 (2018): Edizione 2 (June 2018)

Volume 14 (2018): Edizione 1 (March 2018)

Volume 13 (2017): Edizione 4 (December 2017)

Volume 13 (2017): Edizione 3 (September 2017)

Volume 13 (2017): Edizione 2 (June 2017)

Volume 13 (2017): Edizione 1 (March 2017)

Volume 12 (2016): Edizione 4 (December 2016)

Volume 12 (2016): Edizione 3 (September 2016)

Volume 12 (2016): Edizione 2 (June 2016)

Volume 12 (2016): Edizione 1 (March 2016)

Volume 11 (2015): Edizione 4 (December 2015)

Volume 11 (2015): Edizione 3 (September 2015)

Volume 11 (2015): Edizione 2 (May 2015)

Volume 11 (2015): Edizione 1 (March 2015)

Volume 10 (2014): Edizione 4 (December 2014)

Volume 10 (2014): Edizione 3 (September 2014)

Volume 10 (2014): Edizione 2 (June 2014)

Volume 10 (2014): Edizione 1 (March 2014)

Volume 9 (2013): Edizione 4 (December 2013)

Volume 9 (2013): Edizione 3 (September 2013)

Volume 9 (2013): Edizione 2 (June 2013)

Volume 9 (2013): Edizione 1 (March 2013)

Dettagli della rivista
Formato
Rivista
eISSN
2784-1391
Pubblicato per la prima volta
12 Apr 2013
Periodo di pubblicazione
4 volte all'anno
Lingue
Inglese

Cerca

Volume 10 (2014): Edizione 1 (March 2014)

Dettagli della rivista
Formato
Rivista
eISSN
2784-1391
Pubblicato per la prima volta
12 Apr 2013
Periodo di pubblicazione
4 volte all'anno
Lingue
Inglese

Cerca

5 Articoli
access type Accesso libero

Preliminary Wrf-Arw Model Analysis of Global Solar Irradiation Forecasting

Pubblicato online: 12 Apr 2014
Pagine: 1 - 8

Astratto

Abstract

The purpose of this research is focused on the evaluation of short term global solar irradiation forecasting performance in order to assess the outcome of photovoltaic power stations. The paper presents a comparative analysis between the predicted irradiation obtained by numerical simulation and measurements. The simulation data is obtained from WRF-ARW model (Weather Research Forecasting-Advanced Research WRF), whose initial and boundary conditions are provided by the global forecasting model GFS. Taking into account the complexity of options for the physics models provided with WRF, we embarked upon a parametric analysis of the simulated solar irradiance. This complex task provides a better insight among the coupling of various physics options and enables us to find the best fit with the measured data for a specified site and time period. The present preliminary analysis shows that the accuracy of the computed global solar irradiance can be improved by choosing the appropriate built-in physics models. A combination of physics models providing the best results has been identified.

Keywords

  • global irradiance forecast
  • NWP simulation
  • PV stations
  • model analysis
access type Accesso libero

Behavior of Aluminum Based Coagulants in Treatment of Surface Water–Assessment of Chemical and Microbiological Properties of Treated Water

Pubblicato online: 12 Apr 2014
Pagine: 9 - 20

Astratto

Abstract

Pre-polymerized inorganic aluminum coagulants have high efficiency in reducing turbidity, total, dissolved, biodegradable organic carbon and microbiological content of surface waters used for drinking, while obtaining low concentrations of residual aluminum after the coagulation phase. Correlation between turbidity raw water and coagulant dose is logarithmic being influenced by temperature and organic content of surface waters. The coagulant’s effect on the organic content of the raw water is closely related to the microbiological concentration and can thus determine the mathematical correlations between the two types of parameters after the coagulation-flocculation stage that can be used to assess the water biostability coagulant action.

Parole chiave

  • pre-polymerized inorganic coagulant
  • poly-aluminum chloride
  • poly-aluminum sulfate chloride
  • poly-aluminum silicate chloride biodegradable organic carbon
  • biostability
access type Accesso libero

Using the Analytic Hierarchy Process to Prioritize and Select Phase Change Materials for Comfort Application in Buildings

Pubblicato online: 12 Apr 2014
Pagine: 21 - 28

Astratto

Abstract

Phase change materials (PCMs) selection and prioritization for comfort application in buildings have a significant contribution to the improvement of latent heat storage systems. PCMs have a relatively large thermal energy storage capacity in a temperature range close to their switch point. PCMs absorb energy during the heating process as phase change takes place and release energy to the environment in the phase change range during a reverse cooling process. Thermal energy storage systems using PCMs as storage medium offer advantages such as: high heat storage capacity and store/release thermal energy at a nearly constant temperature, relative low weight, small unit size and isothermal behaviour during charging and discharging when compared to the sensible thermal energy storage. PCMs are valuable only in the range of temperature close to their phase change point, since their main thermal energy storage capacity depend on their mass and on their latent heat of fusion. Selection of the proper PCMs is a challenging task because there are lots of different materials with different characteristics. In this research paper the principles and techniques of the Analytic Hierarchy Process (AHP) are presented, discussed and applied in order to prioritize and select the proper PCMs for comfort application in buildings. The AHP method is used for solving complex decisional problems and allows the decision maker to take the most suitable decisions for the problem studied. The results obtained reveal that the AHP method can be successfully applied when we want to choose a PCM for comfort application in buildings.

Keywords

  • Phase change material (PCM)
  • Analytic hierarchy process (AHP)
  • Selection and prioritization of PCMs
access type Accesso libero

Urban Ozone Concentration Forecasting with Artificial Neural Network in Corsica

Pubblicato online: 12 Apr 2014
Pagine: 29 - 37

Astratto

Abstract

Atmospheric pollutants concentration forecasting is an important issue in air quality monitoring. Qualitair Corse, the organization responsible for monitoring air quality in Corsica (France), needs to develop a short-term prediction model to lead its mission of information towards the public. Various deterministic models exist for local forecasting, but need important computing resources, a good knowledge of atmospheric processes and can be inaccurate because of local climatical or geographical particularities, as observed in Corsica, a mountainous island located in the Mediterranean Sea. As a result, we focus in this study on statistical models, and particularly Artificial Neural Networks (ANNs) that have shown good results in the prediction of ozone concentration one hour ahead with data measured locally. The purpose of this study is to build a predictor realizing predictions of ozone 24 hours ahead in Corsica in order to be able to anticipate pollution peaks formation and to take appropriate preventive measures. Specific meteorological conditions are known to lead to particular pollution event in Corsica (e.g. Saharan dust events). Therefore, an ANN model will be used with pollutant and meteorological data for operational forecasting. Index of agreement of this model was calculated with a one year test dataset and reached 0.88.

Keywords

  • Air quality forecasting
  • Artificial Neural Network
  • Multilayer Perceptron
  • Ozone concentration
access type Accesso libero

Wind Data Analysis and Wind Flow Simulation Over Large Areas

Pubblicato online: 12 Apr 2014
Pagine: 38 - 45

Astratto

Abstract

Increasing the share of renewable energy sources is one of the core policies of the European Union. This is because of the fact that this energy is essential in reducing the greenhouse gas emissions and securing energy supplies. Currently, the share of wind energy from all renewable energy sources is relatively low. The choice of location for a certain wind farm installation strongly depends on the wind potential. Therefore the accurate assessment of wind potential is extremely important. In the present paper an analysis is made on the impact of significant possible parameters on the determination of wind energy potential for relatively large areas. In the analysis the type of measurements (short- and long-term on-site measurements), the type of instrumentation and the terrain roughness factor are considered. The study on the impact of turbulence on the wind flow distribution over complex terrain is presented, and it is based on the real on-site data collected by the meteorological tall towers installed in the northern part of Bulgaria. By means of CFD based software a wind map is developed for relatively large areas. Different turbulent models in numerical calculations were tested and recommendations for the usage of the specific models in flows modeling over complex terrains are presented. The role of each parameter in wind map development is made. Different approaches for determination of wind energy potential based on the preliminary developed wind map are presented.

Keywords

  • turbulence modeling
  • wind map
  • CFD modeling
  • wind data processing
5 Articoli
access type Accesso libero

Preliminary Wrf-Arw Model Analysis of Global Solar Irradiation Forecasting

Pubblicato online: 12 Apr 2014
Pagine: 1 - 8

Astratto

Abstract

The purpose of this research is focused on the evaluation of short term global solar irradiation forecasting performance in order to assess the outcome of photovoltaic power stations. The paper presents a comparative analysis between the predicted irradiation obtained by numerical simulation and measurements. The simulation data is obtained from WRF-ARW model (Weather Research Forecasting-Advanced Research WRF), whose initial and boundary conditions are provided by the global forecasting model GFS. Taking into account the complexity of options for the physics models provided with WRF, we embarked upon a parametric analysis of the simulated solar irradiance. This complex task provides a better insight among the coupling of various physics options and enables us to find the best fit with the measured data for a specified site and time period. The present preliminary analysis shows that the accuracy of the computed global solar irradiance can be improved by choosing the appropriate built-in physics models. A combination of physics models providing the best results has been identified.

Keywords

  • global irradiance forecast
  • NWP simulation
  • PV stations
  • model analysis
access type Accesso libero

Behavior of Aluminum Based Coagulants in Treatment of Surface Water–Assessment of Chemical and Microbiological Properties of Treated Water

Pubblicato online: 12 Apr 2014
Pagine: 9 - 20

Astratto

Abstract

Pre-polymerized inorganic aluminum coagulants have high efficiency in reducing turbidity, total, dissolved, biodegradable organic carbon and microbiological content of surface waters used for drinking, while obtaining low concentrations of residual aluminum after the coagulation phase. Correlation between turbidity raw water and coagulant dose is logarithmic being influenced by temperature and organic content of surface waters. The coagulant’s effect on the organic content of the raw water is closely related to the microbiological concentration and can thus determine the mathematical correlations between the two types of parameters after the coagulation-flocculation stage that can be used to assess the water biostability coagulant action.

Parole chiave

  • pre-polymerized inorganic coagulant
  • poly-aluminum chloride
  • poly-aluminum sulfate chloride
  • poly-aluminum silicate chloride biodegradable organic carbon
  • biostability
access type Accesso libero

Using the Analytic Hierarchy Process to Prioritize and Select Phase Change Materials for Comfort Application in Buildings

Pubblicato online: 12 Apr 2014
Pagine: 21 - 28

Astratto

Abstract

Phase change materials (PCMs) selection and prioritization for comfort application in buildings have a significant contribution to the improvement of latent heat storage systems. PCMs have a relatively large thermal energy storage capacity in a temperature range close to their switch point. PCMs absorb energy during the heating process as phase change takes place and release energy to the environment in the phase change range during a reverse cooling process. Thermal energy storage systems using PCMs as storage medium offer advantages such as: high heat storage capacity and store/release thermal energy at a nearly constant temperature, relative low weight, small unit size and isothermal behaviour during charging and discharging when compared to the sensible thermal energy storage. PCMs are valuable only in the range of temperature close to their phase change point, since their main thermal energy storage capacity depend on their mass and on their latent heat of fusion. Selection of the proper PCMs is a challenging task because there are lots of different materials with different characteristics. In this research paper the principles and techniques of the Analytic Hierarchy Process (AHP) are presented, discussed and applied in order to prioritize and select the proper PCMs for comfort application in buildings. The AHP method is used for solving complex decisional problems and allows the decision maker to take the most suitable decisions for the problem studied. The results obtained reveal that the AHP method can be successfully applied when we want to choose a PCM for comfort application in buildings.

Keywords

  • Phase change material (PCM)
  • Analytic hierarchy process (AHP)
  • Selection and prioritization of PCMs
access type Accesso libero

Urban Ozone Concentration Forecasting with Artificial Neural Network in Corsica

Pubblicato online: 12 Apr 2014
Pagine: 29 - 37

Astratto

Abstract

Atmospheric pollutants concentration forecasting is an important issue in air quality monitoring. Qualitair Corse, the organization responsible for monitoring air quality in Corsica (France), needs to develop a short-term prediction model to lead its mission of information towards the public. Various deterministic models exist for local forecasting, but need important computing resources, a good knowledge of atmospheric processes and can be inaccurate because of local climatical or geographical particularities, as observed in Corsica, a mountainous island located in the Mediterranean Sea. As a result, we focus in this study on statistical models, and particularly Artificial Neural Networks (ANNs) that have shown good results in the prediction of ozone concentration one hour ahead with data measured locally. The purpose of this study is to build a predictor realizing predictions of ozone 24 hours ahead in Corsica in order to be able to anticipate pollution peaks formation and to take appropriate preventive measures. Specific meteorological conditions are known to lead to particular pollution event in Corsica (e.g. Saharan dust events). Therefore, an ANN model will be used with pollutant and meteorological data for operational forecasting. Index of agreement of this model was calculated with a one year test dataset and reached 0.88.

Keywords

  • Air quality forecasting
  • Artificial Neural Network
  • Multilayer Perceptron
  • Ozone concentration
access type Accesso libero

Wind Data Analysis and Wind Flow Simulation Over Large Areas

Pubblicato online: 12 Apr 2014
Pagine: 38 - 45

Astratto

Abstract

Increasing the share of renewable energy sources is one of the core policies of the European Union. This is because of the fact that this energy is essential in reducing the greenhouse gas emissions and securing energy supplies. Currently, the share of wind energy from all renewable energy sources is relatively low. The choice of location for a certain wind farm installation strongly depends on the wind potential. Therefore the accurate assessment of wind potential is extremely important. In the present paper an analysis is made on the impact of significant possible parameters on the determination of wind energy potential for relatively large areas. In the analysis the type of measurements (short- and long-term on-site measurements), the type of instrumentation and the terrain roughness factor are considered. The study on the impact of turbulence on the wind flow distribution over complex terrain is presented, and it is based on the real on-site data collected by the meteorological tall towers installed in the northern part of Bulgaria. By means of CFD based software a wind map is developed for relatively large areas. Different turbulent models in numerical calculations were tested and recommendations for the usage of the specific models in flows modeling over complex terrains are presented. The role of each parameter in wind map development is made. Different approaches for determination of wind energy potential based on the preliminary developed wind map are presented.

Keywords

  • turbulence modeling
  • wind map
  • CFD modeling
  • wind data processing

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