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The production of dimethyl ether from renewables or waste is a promising strategy to push towards a sustainable energy transition of alternative eco-friendly diesel fuel. In this work, we simulate the synthesis of dimethyl ether from a syngas (a mixture of CO, CO2 and H2) produced from gasification of digestate. In particular, a thermodynamic analysis was performed to individuate the best process conditions and syngas conditioning processes to maximize yield to dimethyl etehr (DME). Process simulation was carried out by ChemCAD software, and it was particularly focused on the effect of process conditions of both water gas shift and CO2 absorption by Selexol® on the syngas composition, with a direct influence on DME productivity. The final best flowsheet and the best process conditions were evaluated in terms of CO2 equivalent emissions. Results show direct DME synthesis global yield was higher without the WGS section and with a carbon capture equal to 85%. The final environmental impact was found equal to −113 kgCO2/GJ, demonstrating that DME synthesis from digestate may be considered as a suitable strategy for carbon dioxide recycling.
Aristide Giuliano; Enrico Catizzone; Cesare Freda. Process Simulation and Environmental Aspects of Dimethyl Ether Production from Digestate-Derived Syngas. International Journal of Environmental Research and Public Health 2021, 18, 807 .
AMA StyleAristide Giuliano, Enrico Catizzone, Cesare Freda. Process Simulation and Environmental Aspects of Dimethyl Ether Production from Digestate-Derived Syngas. International Journal of Environmental Research and Public Health. 2021; 18 (2):807.
Chicago/Turabian StyleAristide Giuliano; Enrico Catizzone; Cesare Freda. 2021. "Process Simulation and Environmental Aspects of Dimethyl Ether Production from Digestate-Derived Syngas." International Journal of Environmental Research and Public Health 18, no. 2: 807.
Biorefineries are novel, productive models that are aimed at producing biobased alternatives to many fossil-based products. Biomass supply and overall energy consumptions are important issues determining the overall biorefinery sustainability. Low-profit lands appear to be a potential option for the sustainable production of raw materials without competition with the food chain. Cardoon particularly matches these characteristics, thanks to the rapid growth and the economy of the cultivation and harvesting steps. An integrated biorefinery processing 60 kton/y cardoon lignocellulosic biomass for the production of 1,4-butanediol (bio-BDO) is presented and discussed in this work. After designing the biorefinery flowsheet, the mass and energy balances were calculated. The results indicated that the energy recovery system has been designed to almost completely cover the entire energy requirement of the BDO production process. Despite the lower supply of electricity, the energy recovery system can cover around 78% of the total electricity demand. Instead, the thermal energy recovery system was able to satisfy the overall demand of the sugar production process entirely, while BDO purification columns require high-pressure steam. The thermal energy recovery system can cover around 83% of the total thermal demand. Finally, a cradle-to-gate simplified environmental assessment was conducted in order to evaluate the environmental impact of the process in terms of carbon footprint. The carbon footprint value calculated for the entire production process of BDO was 2.82 kgCO2eq/kgBDO. The cultivation phase accounted for 1.94 kgCO2eq/kgBDO, the transport had very little impact, only for 0.067 kgCO2eq/kgBDO, while the biorefinery phase contributes for 0.813 kgCO2eq/kgBDO.
Isabella De Bari; Aristide Giuliano; Maria Teresa Petrone; Giovanni Stoppiello; Vittoria Fatta; Cecilia Giardi; Francesco Razza; Alessandra Novelli. From Cardoon Lignocellulosic Biomass to Bio-1,4 Butanediol: An Integrated Biorefinery Model. Processes 2020, 8, 1585 .
AMA StyleIsabella De Bari, Aristide Giuliano, Maria Teresa Petrone, Giovanni Stoppiello, Vittoria Fatta, Cecilia Giardi, Francesco Razza, Alessandra Novelli. From Cardoon Lignocellulosic Biomass to Bio-1,4 Butanediol: An Integrated Biorefinery Model. Processes. 2020; 8 (12):1585.
Chicago/Turabian StyleIsabella De Bari; Aristide Giuliano; Maria Teresa Petrone; Giovanni Stoppiello; Vittoria Fatta; Cecilia Giardi; Francesco Razza; Alessandra Novelli. 2020. "From Cardoon Lignocellulosic Biomass to Bio-1,4 Butanediol: An Integrated Biorefinery Model." Processes 8, no. 12: 1585.
The need to protect sensitive data is growing, and environmental data are now considered sensitive. The application of last-generation procedures such as blockchains coupled with the implementation of new air quality monitoring technology allows the data protection and validation. In this work, the use of a blockchain applied to air pollution data is proposed. A blockchain procedure has been designed and tested. An Internet of Things (IoT)-based sensor network provides air quality data in terms of particulate matter of two different diameters, particulate matter (PM)10 and PM2.5, volatile organic compounds (VOC), and nitrogen dioxide (NO2) concentrations. The dataset also includes meteorological parameters and vehicular traffic information. This work foresees that the data, recovered from traditional Not Structured Query Language (NoSQL) database, and organized according to some specifications, are sent to the Ethereum blockchain daily automatically and with the possibility to choose the period of interest manually. There was also the development of a transaction management and recovery system aimed at retrieving data, formatting it according to the specifications and organizing it into files of various formats. The blockchain procedure has therefore been used to track data provided by air quality monitoring networks unequivocally.
Daniele Sofia; Nicoletta Lotrecchiano; Paolo Trucillo; Aristide Giuliano; Luigi Terrone. Novel Air Pollution Measurement System Based on Ethereum Blockchain. Journal of Sensor and Actuator Networks 2020, 9, 49 .
AMA StyleDaniele Sofia, Nicoletta Lotrecchiano, Paolo Trucillo, Aristide Giuliano, Luigi Terrone. Novel Air Pollution Measurement System Based on Ethereum Blockchain. Journal of Sensor and Actuator Networks. 2020; 9 (4):49.
Chicago/Turabian StyleDaniele Sofia; Nicoletta Lotrecchiano; Paolo Trucillo; Aristide Giuliano; Luigi Terrone. 2020. "Novel Air Pollution Measurement System Based on Ethereum Blockchain." Journal of Sensor and Actuator Networks 9, no. 4: 49.
Nicoletta Lotrecchiano; Daniele Sofia; Aristide Giuliano; Diego Barletta; Massimo Poletto. Pollution Dispersion from a Fire Using a Gaussian Plume Model. International Journal of Safety and Security Engineering 2020, 10, 431 -439.
AMA StyleNicoletta Lotrecchiano, Daniele Sofia, Aristide Giuliano, Diego Barletta, Massimo Poletto. Pollution Dispersion from a Fire Using a Gaussian Plume Model. International Journal of Safety and Security Engineering. 2020; 10 (4):431-439.
Chicago/Turabian StyleNicoletta Lotrecchiano; Daniele Sofia; Aristide Giuliano; Diego Barletta; Massimo Poletto. 2020. "Pollution Dispersion from a Fire Using a Gaussian Plume Model." International Journal of Safety and Security Engineering 10, no. 4: 431-439.
The biomass-to-methanol process may play an important role in introducing renewables in the industry chain for chemical and fuel production. Gasification is a thermochemical process to produce syngas from biomass, but additional steps are requested to obtain a syngas composition suitable for methanol synthesis. The aim of this work is to perform a computer-aided process simulation to produce methanol starting from a syngas produced by oxygen–steam biomass gasification, whose details are reported in the literature. Syngas from biomass gasification was compressed to 80 bar, which may be considered an optimal pressure for methanol synthesis. The simulation was mainly focused on the water–gas shift/carbon capture sections requested to obtain a syngas with a (H2 − CO2)/(CO + CO2) molar ratio of about 2, which is optimal for methanol synthesis. Both capital and operating costs were calculated as a function of the CO conversion in the water–gas shift (WGS) step and CO2 absorption level in the carbon capture (CC) unit (by Selexol® process). The obtained results show the optimal CO conversion is 40% with CO2 capture from the syngas equal to 95%. The effect of the WGS conversion level on methanol production cost was also assessed. For the optimal case, a methanol production cost equal to 0.540 €/kg was calculated.
Aristide Giuliano; Cesare Freda; Enrico Catizzone. Techno-Economic Assessment of Bio-Syngas Production for Methanol Synthesis: A Focus on the Water–Gas Shift and Carbon Capture Sections. Bioengineering 2020, 7, 70 .
AMA StyleAristide Giuliano, Cesare Freda, Enrico Catizzone. Techno-Economic Assessment of Bio-Syngas Production for Methanol Synthesis: A Focus on the Water–Gas Shift and Carbon Capture Sections. Bioengineering. 2020; 7 (3):70.
Chicago/Turabian StyleAristide Giuliano; Cesare Freda; Enrico Catizzone. 2020. "Techno-Economic Assessment of Bio-Syngas Production for Methanol Synthesis: A Focus on the Water–Gas Shift and Carbon Capture Sections." Bioengineering 7, no. 3: 70.
This paper explores a possible waste-based economy transition strategy. Digestate from the organic fraction of municipal solid waste (OFMSW) is considered, as well as a low-added value product to be properly valorized. In this regard, air gasification may be used to produce syngas. In this work, the production of methanol, hydrogen, or electricity from digestate-derived syngas was assessed by ChemCAD process simulation software. The process scheme of methanol production comprises the following parts: water gas shift (WGS) with carbon capture and storage units (CCS), methanol synthesis, and methanol purification. In the case of hydrogen production, after WGS-CCS, hydrogen was purified from residual nitrogen by pressure swing absorption (PSA). Finally, for electricity production, the digestate-derived syngas was used as fuel in an internal combustion engine. The main objective of this work is to compare the proposed scenarios in terms of CO2 emission intensity and the effect of CO2 storage. In particular, CCS units were used for methanol or hydrogen production with the aim of obtaining high equilibrium yield toward these products. On the basis of 100 kt/year of digestate, results show that the global CO2 savings were 80, 71, and 69 ktCO2eq/year for electricity, methanol, and hydrogen production, respectively. If carbon storage was considered, savings of about 105 and 99 ktCO2eq/year were achieved with methanol and hydrogen production, respectively. The proposed scenarios may provide an attractive option for transitioning into methanol or hydrogen economy of the future.
Aristide Giuliano; Enrico Catizzone; Cesare Freda; Giacinto Cornacchia. Valorization of OFMSW Digestate-Derived Syngas toward Methanol, Hydrogen, or Electricity: Process Simulation and Carbon Footprint Calculation. Processes 2020, 8, 526 .
AMA StyleAristide Giuliano, Enrico Catizzone, Cesare Freda, Giacinto Cornacchia. Valorization of OFMSW Digestate-Derived Syngas toward Methanol, Hydrogen, or Electricity: Process Simulation and Carbon Footprint Calculation. Processes. 2020; 8 (5):526.
Chicago/Turabian StyleAristide Giuliano; Enrico Catizzone; Cesare Freda; Giacinto Cornacchia. 2020. "Valorization of OFMSW Digestate-Derived Syngas toward Methanol, Hydrogen, or Electricity: Process Simulation and Carbon Footprint Calculation." Processes 8, no. 5: 526.
Today, it is increasingly recognized that air pollution hurts human health. Consequently, efficient mitigation strategies need to be implemented for substantial environmental and health co-benefits. A valid approach to reducing the air pollution effects on the environment and human health is proposed. Specific guidelines have been elucidated by differentiating them on the base of the final stakeholders (citizens, enterprises, and public authorities), of the emission sources (transport, household energy, industry, and energy generation sector, agriculture, and shipping area), and of the field of implementation (urban and extra-urban context). This paper can provide useful information for governments for the implementation of a strategic plan focused on emphasizing multi-pollutant emission reductions and overall air pollution-related risk.
Daniele Sofia; Filomena Gioiella; Nicoletta Lotrecchiano; Aristide Giuliano. Mitigation strategies for reducing air pollution. Environmental Science and Pollution Research 2020, 27, 19226 -19235.
AMA StyleDaniele Sofia, Filomena Gioiella, Nicoletta Lotrecchiano, Aristide Giuliano. Mitigation strategies for reducing air pollution. Environmental Science and Pollution Research. 2020; 27 (16):19226-19235.
Chicago/Turabian StyleDaniele Sofia; Filomena Gioiella; Nicoletta Lotrecchiano; Aristide Giuliano. 2020. "Mitigation strategies for reducing air pollution." Environmental Science and Pollution Research 27, no. 16: 19226-19235.
Environmental pollution in urban areas may be mainly attributed to the rapid industrialization and increased growth of vehicular traffic. As a consequence of air quality deterioration, the health and welfare of human beings are compromised. Air quality monitoring networks usually are used not only to assess the pollutant trend but also in the effective set-up of preventive measures of atmospheric pollution. In this context, monitoring can be a valid action to evaluate different emission control scenarios; however, installing a high space-time resolution monitoring network is still expensive. Merge of observations data from low-cost air quality monitoring networks with forecasting models can contribute to improving significantly emission control scenarios. In this work, a validation algorithm of the forecasting model for the concentration of small particulates (PM10 and PM2.5) is proposed. Results showed a satisfactory agreement between the PM concentration forecast values and the measured data from 3 air quality monitoring stations. Final average RMSE values for all monitoring stations are equal to about 4.5 µg/m3.
Nicoletta Lotrecchiano; Filomena Gioiella; Aristide Giuliano; Daniele Sofia. Forecasting Model Validation of Particulate Air Pollution by Low Cost Sensors Data. Journal of Modeling and Optimization 2019, 11, 63 -68.
AMA StyleNicoletta Lotrecchiano, Filomena Gioiella, Aristide Giuliano, Daniele Sofia. Forecasting Model Validation of Particulate Air Pollution by Low Cost Sensors Data. Journal of Modeling and Optimization. 2019; 11 (2):63-68.
Chicago/Turabian StyleNicoletta Lotrecchiano; Filomena Gioiella; Aristide Giuliano; Daniele Sofia. 2019. "Forecasting Model Validation of Particulate Air Pollution by Low Cost Sensors Data." Journal of Modeling and Optimization 11, no. 2: 63-68.
Mitigation strategies towards progressive decarbonization of the energy system are a valid approach to slow environmental pollution yielding social benefits, as established from National Energy and Climate Plan (NECP). The first objective is the increase of energy efficiency within 2030 by promoting the use of renewable energy and the electrification of consumption in other sectors (household and transport). Cost-benefit analysis (CBA) is an analytical tool to evaluate investments and support policy decisions for society's welfare. The paper aims to assess how CBA can be used to quantify the costs and related social benefits in different sectors (energy, transport and household) if the decarbonization scenario is applied in Italy in 2030. Overall, our findings show positive benefits obtained with the adoption of different mitigation strategies for all sectors. These results can provide significant support to decision-makers in the implementation of decarbonization scenario in Italy scheduled for 2030.
Daniele Sofia; Filomena Gioiella; Nicoletta Lotrecchiano; Aristide Giuliano. Cost-benefit analysis to support decarbonization scenario for 2030: A case study in Italy. Energy Policy 2019, 137, 111137 .
AMA StyleDaniele Sofia, Filomena Gioiella, Nicoletta Lotrecchiano, Aristide Giuliano. Cost-benefit analysis to support decarbonization scenario for 2030: A case study in Italy. Energy Policy. 2019; 137 ():111137.
Chicago/Turabian StyleDaniele Sofia; Filomena Gioiella; Nicoletta Lotrecchiano; Aristide Giuliano. 2019. "Cost-benefit analysis to support decarbonization scenario for 2030: A case study in Italy." Energy Policy 137, no. : 111137.
Aristide Giuliano; Enrico Catizzone; Donatella Barisano; Francesco Nanna; Antonio Villone; Isabella De Bari; Giacinto Cornacchia; Giacobbe Braccio. Towards Methanol Economy: A Techno-environmental Assessment for a Bio-methanol OFMSW/Biomass/Carbon Capture-based Integrated Plant. International Journal of Heat and Technology 2019, 37, 665 -674.
AMA StyleAristide Giuliano, Enrico Catizzone, Donatella Barisano, Francesco Nanna, Antonio Villone, Isabella De Bari, Giacinto Cornacchia, Giacobbe Braccio. Towards Methanol Economy: A Techno-environmental Assessment for a Bio-methanol OFMSW/Biomass/Carbon Capture-based Integrated Plant. International Journal of Heat and Technology. 2019; 37 (3):665-674.
Chicago/Turabian StyleAristide Giuliano; Enrico Catizzone; Donatella Barisano; Francesco Nanna; Antonio Villone; Isabella De Bari; Giacinto Cornacchia; Giacobbe Braccio. 2019. "Towards Methanol Economy: A Techno-environmental Assessment for a Bio-methanol OFMSW/Biomass/Carbon Capture-based Integrated Plant." International Journal of Heat and Technology 37, no. 3: 665-674.
Aristide Giuliano; Isabella Bari; Vincenzo Motola; Nicola Pierro; Alessandro Giocoli; Diego Barletta. Techno-environmental Assessment of Two Biorefinery Systems to Valorize the Residual Lignocellulosic Biomass of the Basilicata Region. Mathematical Modelling of Engineering Problems 2019, 6, 317 -323.
AMA StyleAristide Giuliano, Isabella Bari, Vincenzo Motola, Nicola Pierro, Alessandro Giocoli, Diego Barletta. Techno-environmental Assessment of Two Biorefinery Systems to Valorize the Residual Lignocellulosic Biomass of the Basilicata Region. Mathematical Modelling of Engineering Problems. 2019; 6 (3):317-323.
Chicago/Turabian StyleAristide Giuliano; Isabella Bari; Vincenzo Motola; Nicola Pierro; Alessandro Giocoli; Diego Barletta. 2019. "Techno-environmental Assessment of Two Biorefinery Systems to Valorize the Residual Lignocellulosic Biomass of the Basilicata Region." Mathematical Modelling of Engineering Problems 6, no. 3: 317-323.
Design of biorefineries has been often addressed by process flowsheet optimization tools without adequately considering the relevant supply chain network. In this work, an integrated optimization algorithm including the biorefinery process flowsheet structure and biobased supply chain network was developed. A superstructure of different process pathways for a biorefinery co-producing ethanol, ethyl levulinate and electricity is built on the base of up-to-date technologies. The bio-based supply chain model was implemented to address the transportation, the inventory management and the size of the biorefinery. Mixed Integer Linear Programming (MILP) was used as a modeling approach. The efficiency of the algorithm was demonstrated by applying it to a case study consisting of a wheat straw supply chain network for bioproducts demand in Germany. The algorithm reached convergence after three iterations providing a final optimal number of biorefineries distributed in different regions of the country corresponding to a maximum Net Present Value.
Christos Galanopoulos; Aristide Giuliano; Diego Barletta; Edwin Zondervan. An optimization model for a biorefinery system based on process design and logistics. Computer Aided Chemical Engineering 2019, 46, 265 -270.
AMA StyleChristos Galanopoulos, Aristide Giuliano, Diego Barletta, Edwin Zondervan. An optimization model for a biorefinery system based on process design and logistics. Computer Aided Chemical Engineering. 2019; 46 ():265-270.
Chicago/Turabian StyleChristos Galanopoulos; Aristide Giuliano; Diego Barletta; Edwin Zondervan. 2019. "An optimization model for a biorefinery system based on process design and logistics." Computer Aided Chemical Engineering 46, no. : 265-270.
Second-generation bioethanol represents an interesting alternative to liquid fuels in times of increased concerns over global warming and energy security. However, the recalcitrant structure of lignocellulosic biomass feedstock makes necessary a pretreatment process to increase the conversion of sugars. Diluted acid, liquid hot water, steam explosion, ammonia fiber explosion, and organosolv pretreatments are assessed using a combined economic value and environmental impact analysis under a full biorefinery setup in order to assess the best pretreatment process from a techno-economic-environmental point of view. Five process areas were identified within each process considered: pretreatment stage, conversion stage, product purification and separation stage, water treatment stage, and cogeneration stage. A process simulation software was used to consider material and energy balances of the biorefineries with different pretreatment processes and to optimize the separation and purification processes (e.g., distillation columns). For the considered biomass and scenarios, all processes resulted in positive gains in terms of economic feasibility and carbon dioxide emissions. In particular, diluted acid can be considered the best pretreatment process to produce lignocellulosic bioethanol thanks to the best techno-economic-environmental performances, with the largest economic and environmental margins of 39.2 M$/year and 83.9 kt CO2/year, respectively.
André Rodrigues Gurgel da Silva; Aristide Giuliano; Massimiliano Errico; Ben-Guang Rong; Diego Barletta. Economic value and environmental impact analysis of lignocellulosic ethanol production: assessment of different pretreatment processes. Clean Technologies and Environmental Policy 2019, 21, 637 -654.
AMA StyleAndré Rodrigues Gurgel da Silva, Aristide Giuliano, Massimiliano Errico, Ben-Guang Rong, Diego Barletta. Economic value and environmental impact analysis of lignocellulosic ethanol production: assessment of different pretreatment processes. Clean Technologies and Environmental Policy. 2019; 21 (3):637-654.
Chicago/Turabian StyleAndré Rodrigues Gurgel da Silva; Aristide Giuliano; Massimiliano Errico; Ben-Guang Rong; Diego Barletta. 2019. "Economic value and environmental impact analysis of lignocellulosic ethanol production: assessment of different pretreatment processes." Clean Technologies and Environmental Policy 21, no. 3: 637-654.
The CO2 capture in Integrated Gasification Combined Cycle (IGCC) plants causes a significant increase of the cost of electricity (COE) and thus determines high CO2 mitigation cost (cost per ton of avoided CO2 emissions). In this work the economic sustainability of the co-production of pure hydrogen in addition to the electricity production was assessed by detailed process simulations and a techno-economic analysis. To produce pure hydrogen a Water Gas Shift reactor and a Selexol® process was combined with H2 selective palladium membranes. This innovative process section was compared with the more conventional Pressure Swing Adsorption in order to produce amount of pure hydrogen up to 20% of the total hydrogen available in the syngas. Assuming for a base case a hydrogen selling price of 3 €/kg and a palladium membrane cost of 9200 €/m2, a cost of electricity (COE) of 64 €/MWh and a mitigation cost of 20 €/tonCO2 were obtained for 90% captured CO2 and 10% hydrogen recovery. An increase of the hydrogen recovery up to 20% determines a reduction of the COE and of the mitigation cost to 50 €/MWh and 5 €/tonCO2, respectively. A sensitivity analysis showed that even a 50% increase of cost of the membrane per unit surface could determine a COE increase of only about 10% and a maximum increase of the mitigation cost of further 5 €/tonCO2.
Aristide Giuliano; Massimo Poletto; Diego Barletta. Pure hydrogen co-production by membrane technology in an IGCC power plant with carbon capture. International Journal of Hydrogen Energy 2018, 43, 19279 -19292.
AMA StyleAristide Giuliano, Massimo Poletto, Diego Barletta. Pure hydrogen co-production by membrane technology in an IGCC power plant with carbon capture. International Journal of Hydrogen Energy. 2018; 43 (41):19279-19292.
Chicago/Turabian StyleAristide Giuliano; Massimo Poletto; Diego Barletta. 2018. "Pure hydrogen co-production by membrane technology in an IGCC power plant with carbon capture." International Journal of Hydrogen Energy 43, no. 41: 19279-19292.
The economic sustainability of lignocellulosic biorefineries can be significantly improved by co-producing added value chemicals together with common biofuels like ethanol. In this work a techno-economic analysis of a multiproduct biorefinery was carried out by means of process simulations, cost and profitability analysis. Alternative process flowsheets including the co-production of xylitol or furfural from C5 sugars deriving from biomass hydrolysis were assessed and compared with the ethanol base case. A comparison between the purchase of enzymes and the on-site production of enzymes was also addressed. The lowest Payback Selling Price of ethanol was obtained for the case of xylitol co-production thanks to its higher added value.
Aristide Giuliano; Diego Barletta; Isabella De Bari; Massimo Poletto. Techno-economic assessment of a lignocellulosic biorefinery co-producing ethanol and xylitol or furfural. Computer Aided Chemical Engineering 2018, 43, 585 -590.
AMA StyleAristide Giuliano, Diego Barletta, Isabella De Bari, Massimo Poletto. Techno-economic assessment of a lignocellulosic biorefinery co-producing ethanol and xylitol or furfural. Computer Aided Chemical Engineering. 2018; 43 ():585-590.
Chicago/Turabian StyleAristide Giuliano; Diego Barletta; Isabella De Bari; Massimo Poletto. 2018. "Techno-economic assessment of a lignocellulosic biorefinery co-producing ethanol and xylitol or furfural." Computer Aided Chemical Engineering 43, no. : 585-590.
With regard to pollution produced in urban areas, low-cost sensors offer the possibility to collect temporal and spatial data and they have a great potential to change the way to monitor the exposure of the population to the atmospheric pollution. However, one of the challenges associated with data coming from this kind of sensors is to try to make them more significant by combing sensors in network. In this work a dispersion model is used to test the distribution of dust (10 μm) measured by individual points of the network. The monitoring area considered is within a seaside town in southern Italy. The monitoring network is made of three sensors placed in points sensitive for the anthropic activity. We have applied an interpolation model to determine the areas of greatest pollution concentration within the monitored area. The model simulated the pollution movements at the level of the individual monitoring points taking into account the weather conditions.
Daniele Sofia; Aristide Giuliano; Filomena Gioiella; Diego Barletta; Massimo Poletto. Modeling of an air quality monitoring network with high space-time resolution. Computer Aided Chemical Engineering 2018, 43, 193 -198.
AMA StyleDaniele Sofia, Aristide Giuliano, Filomena Gioiella, Diego Barletta, Massimo Poletto. Modeling of an air quality monitoring network with high space-time resolution. Computer Aided Chemical Engineering. 2018; 43 ():193-198.
Chicago/Turabian StyleDaniele Sofia; Aristide Giuliano; Filomena Gioiella; Diego Barletta; Massimo Poletto. 2018. "Modeling of an air quality monitoring network with high space-time resolution." Computer Aided Chemical Engineering 43, no. : 193-198.
Process flowsheet optimization of a lignocellulosic biorefinery coproducing levulinic acid, succinic acid, and ethanol was performed to maximize an economic objective function (either the net present value, NPV, or the internal rate of return, IRR, alternatively) by means of mathematical programming methods. Most promising alternative industrial processes were selected to build the superstructure of the biorefinery. A discretization method was applied to obtain a MILP approximation of the resulting MINLP master problem. NPV maximization for a biorefinery with hardwood feedstock provided with an optimal flowsheet with all three products. Larger biomass allocation values resulted for levulinic acid and succinic acid (more than 40% each). A sensitivity analysis highlighted that the optimal flowsheet was significantly dependent on the economic scenario (chemical products selling price, discount rate) and on the plant scale. Finally, alternative maximization of NPV and of IRR provided different optimal flowsheets and biomass allocation to chemical products.
Aristide Giuliano; Raffaele Cerulli; Massimo Poletto; Giancarlo Raiconi; Diego Barletta. Process Pathways Optimization for a Lignocellulosic Biorefinery Producing Levulinic Acid, Succinic Acid, and Ethanol. Industrial & Engineering Chemistry Research 2016, 55, 10699 -10717.
AMA StyleAristide Giuliano, Raffaele Cerulli, Massimo Poletto, Giancarlo Raiconi, Diego Barletta. Process Pathways Optimization for a Lignocellulosic Biorefinery Producing Levulinic Acid, Succinic Acid, and Ethanol. Industrial & Engineering Chemistry Research. 2016; 55 (40):10699-10717.
Chicago/Turabian StyleAristide Giuliano; Raffaele Cerulli; Massimo Poletto; Giancarlo Raiconi; Diego Barletta. 2016. "Process Pathways Optimization for a Lignocellulosic Biorefinery Producing Levulinic Acid, Succinic Acid, and Ethanol." Industrial & Engineering Chemistry Research 55, no. 40: 10699-10717.
Biorefineries are integrated process plants producing several chemical products to better exploit all the components of a biomass feedstock. One of the main limitations hindering the development of biorefineries is the uncertainty of a continuous supply of the biomass feedstock during the year and during the whole plant lifetime. As a result, the effect of the change of the biomass type and composition on the plant performance should be accounted for since the initial conceptual design of the multiproduct biorefinery. In this work, process system synthesis and optimization methods have been applied to address the effect of the change of the biomass type and composition in the conceptual design of a multiproduct biorefinery transforming lignocellulosic biomass into levulinic acid, succinic acid and ethanol. The optimal flowsheet was derived from a superstructure embedding several alternative process pathways by optimizing objective functions of economic profitability (net present value, internal rate of return). Results highlight that the composition of the biomass feedstock in terms of cellulose, hemicellulose and lignin has a significant effect on the biomass allocation to the three product production processes and on the relevant optimal flowsheet. Case studies with a combined use of different seasonal biomass types during the year were also studied to provide a methodology to find the optimal biorefinery flowsheet in real scenarios. In the season based scenario studied, product yield distribution and overall productivity of the plant varies during the different periods provided a constant biomass feed rate
Aristide Giuliano; Massimo Poletto; Diego Barletta. Process optimization of a multi-product biorefinery: The effect of biomass seasonality. Chemical Engineering Research and Design 2015, 107, 236 -252.
AMA StyleAristide Giuliano, Massimo Poletto, Diego Barletta. Process optimization of a multi-product biorefinery: The effect of biomass seasonality. Chemical Engineering Research and Design. 2015; 107 ():236-252.
Chicago/Turabian StyleAristide Giuliano; Massimo Poletto; Diego Barletta. 2015. "Process optimization of a multi-product biorefinery: The effect of biomass seasonality." Chemical Engineering Research and Design 107, no. : 236-252.
Several alternative process pathways including biochemical and thermochemical conversions are available for the second generation biorefineries. In this view conceptual design of a superstructure and optimization methods for process synthesis are widely used in order to find the optimal process flowsheet (Stefanakis et al., 2014). In the present work the flowsheet resulting from the economic optimization of a multiproduct lignocellulosic biorefinery superstructure was simulated by a process simulator (Aspen Plus). As a result, rigorous methods were used to calculate the stream thermodynamic properties and to model the process units. Economic analysis was applied to assess the economic feasibility of the process. Sensitivity analysis on the size of the plant, the product prices and the biomass price was carried out as well
Aristide Giuliano; Massimo Poletto; Diego Barletta. Process Design of a Multi-Product Lignocellulosic Biorefinery. Computer Aided Chemical Engineering 2015, 1313 -1318.
AMA StyleAristide Giuliano, Massimo Poletto, Diego Barletta. Process Design of a Multi-Product Lignocellulosic Biorefinery. Computer Aided Chemical Engineering. 2015; ():1313-1318.
Chicago/Turabian StyleAristide Giuliano; Massimo Poletto; Diego Barletta. 2015. "Process Design of a Multi-Product Lignocellulosic Biorefinery." Computer Aided Chemical Engineering , no. : 1313-1318.
The techno-economic analysis of an IGCC plant for power and hydrogen production with CO2 capture by means of Pd-based H2 membranes was carried out. The case studies were referred to the modifications of the existing 330MWe Integrated Gasification Combined Cycle (IGCC) plant of ELCOGAS based on entrained flow gasification of a dry mixture of coal and pet-coke. The pre-combustion section consisting in a sour water gas shift reactor integrated with Pd-based H2 selective membranes and CO2 selective membranes was simulated by process simulation techniques. Heat integration of the new process section was also addressed to minimize the energy loss. Power and energy penalty were evaluated as a function of the CO2 capture percentage and of the electricity and hydrogen output. Economic assessment of the additional capital and production costs was also performed to evaluate the mitigation cost of the carbon capture and storage (CCS) based on membrane technology. Sensitivity analysis was carried out to derive the breakeven price and the threshold performance of hydrogen membranes. The results on the cost of electricity, calculated without accounting for the revenues of the hydrogen sales, provided preliminary data for the economic feasibility of H2 membranes in the IGCC process
Daniele Sofia; Aristide Giuliano; Massimo Poletto; Diego Barletta. Techno-economic analysis of power and hydrogen co-production by an IGCC plant with CO2 capture based on membrane technology. Computer Aided Chemical Engineering 2015, 1373 -1378.
AMA StyleDaniele Sofia, Aristide Giuliano, Massimo Poletto, Diego Barletta. Techno-economic analysis of power and hydrogen co-production by an IGCC plant with CO2 capture based on membrane technology. Computer Aided Chemical Engineering. 2015; ():1373-1378.
Chicago/Turabian StyleDaniele Sofia; Aristide Giuliano; Massimo Poletto; Diego Barletta. 2015. "Techno-economic analysis of power and hydrogen co-production by an IGCC plant with CO2 capture based on membrane technology." Computer Aided Chemical Engineering , no. : 1373-1378.