This page has only limited features, please log in for full access.
The daily analysis of loads is one of the most important activities for power utilities in order to be able to meet the energy demand. This analysis not only includes short-term forecasting but it also encompasses the completion of missing load data, known as imputation. In this work we show that adding information of attached or bordering primary substation helps to improve the prediction accuracy in a single substation, since its neighbours may share common weather-related (e.g. temperature, humidity, wind direction, etc.) and human-related (e.g. work-calendar, holidays, cultural consumption patterns, etc.) data. In order to validate these approaches, we test the forecasting and imputation neighbouring methodology on a wide variety of datasets. Results confirm that, given a primary substation, the addition of information from surrounding substations does improve the forecasting and imputation errors.
Cruz E. Borges; Oihane Kamara-Esteban; Tony Castillo-Calzadilla; Cristina Martin Andonegui; Ainhoa Alonso-Vicario. Enhancing the missing data imputation of primary substation load demand records. Sustainable Energy, Grids and Networks 2020, 23, 100369 .
AMA StyleCruz E. Borges, Oihane Kamara-Esteban, Tony Castillo-Calzadilla, Cristina Martin Andonegui, Ainhoa Alonso-Vicario. Enhancing the missing data imputation of primary substation load demand records. Sustainable Energy, Grids and Networks. 2020; 23 ():100369.
Chicago/Turabian StyleCruz E. Borges; Oihane Kamara-Esteban; Tony Castillo-Calzadilla; Cristina Martin Andonegui; Ainhoa Alonso-Vicario. 2020. "Enhancing the missing data imputation of primary substation load demand records." Sustainable Energy, Grids and Networks 23, no. : 100369.
The Food and Agriculture Organization of the United Nations estimated that about 1.3 billion tons of food produced for human consumption was lost or wasted globally. Thus, the reduction of the current food loss and waste along the agrifood chain is becoming a priority, both for optimization of resources and reduction waste generation costs. For this purpose, the first step is to quantify the food wastage generation to be able to identify corrective measures. However, in spite of the considerable efforts already undertaken to establish common methodologies to measure the food wastage at different geographical scales, there are still some gaps and inconsistencies. In this regard, the information gathering is labour-intensive because of the different actors involved. The creation of new methodologies and tools capable of automatically identifying these agents would be of great value so as to subsequently apply the more appropriates quantification methodologies. This work aims at providing a new methodology to facilitate this process thanks to the previous identification and classification of the potential food wastage generators. As a result, it provides baseline information for one of the earliest steps of the food wastage quantification process, which is the establishment of the scope of the food wastage inventory. The baseline data needed is taken from the Statistical classification of economic activities in the European Community (NACE), particularly from the most disaggregated level called “classes”. This information has been combined with data from the trading income tax at municipal scale thanks to the use of Geographic Information Systems (GIS) and the common codes for NACE classes, generating a visual tool for the localization of points with potential of food-wastage generation and their weight of each economic activity over the agrifood chain. The proposed methodology has been implemented for the real case of the municipality of Zamudio (Spain) and it has allowed the identification of the different entities linked with economic activities that are potential generators of food wastage, the weight of each activity over the entire agrifood chain, and the geographical location of these entities in the territory. Furthermore, this methodology was used to compare the nature and number of these activities in another municipality (Karrantza, Spain) and it has also been applied to the entire region of the Basque Country (Spain).
Héctor Barco; Iraia Oribe-Garcia; Maria Virginia Vargas-Viedma; Cruz E Borges; Cristina Martín; Ainhoa Alonso-Vicario. New methodology for facilitating food wastage quantification. Identifying gaps and data inconsistencies. Journal of Environmental Management 2019, 234, 512 -524.
AMA StyleHéctor Barco, Iraia Oribe-Garcia, Maria Virginia Vargas-Viedma, Cruz E Borges, Cristina Martín, Ainhoa Alonso-Vicario. New methodology for facilitating food wastage quantification. Identifying gaps and data inconsistencies. Journal of Environmental Management. 2019; 234 ():512-524.
Chicago/Turabian StyleHéctor Barco; Iraia Oribe-Garcia; Maria Virginia Vargas-Viedma; Cruz E Borges; Cristina Martín; Ainhoa Alonso-Vicario. 2019. "New methodology for facilitating food wastage quantification. Identifying gaps and data inconsistencies." Journal of Environmental Management 234, no. : 512-524.
Quantifying the impact of the application of sustainable transport policies is essential in order to mitigate effects of greenhouse gas emissions produced by the transport sector. One of the most common approaches used for this purpose is that of traffic modelling and simulation, which consists of emulating the operation of an entire road network. This article presents the results of fitting 8 well known data science methods for transport choice modelling, the area in which more research is needed. The models have been trained with information from Biscay province in Spain in order to match as many of its commuters as possible. Results show that the best models correctly forecast more than 51% of the trips recorded. Finally, the results have been validated with a second data set from the Silesian Voivodeship in Poland, showing that all models indeed maintain their forecasting ability.
Ander Pijoan; Oihane Kamara-Esteban; Ainhoa Alonso-Vicario; Cruz E. Borges. Transport Choice Modeling for the Evaluation of New Transport Policies. Sustainability 2018, 10, 1230 .
AMA StyleAnder Pijoan, Oihane Kamara-Esteban, Ainhoa Alonso-Vicario, Cruz E. Borges. Transport Choice Modeling for the Evaluation of New Transport Policies. Sustainability. 2018; 10 (4):1230.
Chicago/Turabian StyleAnder Pijoan; Oihane Kamara-Esteban; Ainhoa Alonso-Vicario; Cruz E. Borges. 2018. "Transport Choice Modeling for the Evaluation of New Transport Policies." Sustainability 10, no. 4: 1230.
Aitziber Mugarra Elorriaga; University of Deusto; Ainhoa Alonso Vicario; Cruz Enrique Borges Hernández; Aranzazu Echaniz Barrondo; Ángela García Pérez; Mikel Gómez Goiri; Ander Pijoan Lamas. Friendly cities for all: Service-Learning for innovative and inclusive projects. DEUSTO Social Impact Briefings 2018, 1 .
AMA StyleAitziber Mugarra Elorriaga, University of Deusto, Ainhoa Alonso Vicario, Cruz Enrique Borges Hernández, Aranzazu Echaniz Barrondo, Ángela García Pérez, Mikel Gómez Goiri, Ander Pijoan Lamas. Friendly cities for all: Service-Learning for innovative and inclusive projects. DEUSTO Social Impact Briefings. 2018; ():1.
Chicago/Turabian StyleAitziber Mugarra Elorriaga; University of Deusto; Ainhoa Alonso Vicario; Cruz Enrique Borges Hernández; Aranzazu Echaniz Barrondo; Ángela García Pérez; Mikel Gómez Goiri; Ander Pijoan Lamas. 2018. "Friendly cities for all: Service-Learning for innovative and inclusive projects." DEUSTO Social Impact Briefings , no. : 1.
Aitziber Mugarra Elorriaga; University of Deusto; Ainhoa Alonso Vicario; Cruz Enrique Borges Hernández; Aranzazu Echaniz Barrondo; Ángela García Pérez; Mikel Gómez Goiri; Ander Pijoan Lamas. Ciudades amigables para todas las personas: Aprendizaje y Servicio Solidario para proyectos innovadores e inclusivos. DEUSTO Social Impact Briefings 2018, 1 .
AMA StyleAitziber Mugarra Elorriaga, University of Deusto, Ainhoa Alonso Vicario, Cruz Enrique Borges Hernández, Aranzazu Echaniz Barrondo, Ángela García Pérez, Mikel Gómez Goiri, Ander Pijoan Lamas. Ciudades amigables para todas las personas: Aprendizaje y Servicio Solidario para proyectos innovadores e inclusivos. DEUSTO Social Impact Briefings. 2018; ():1.
Chicago/Turabian StyleAitziber Mugarra Elorriaga; University of Deusto; Ainhoa Alonso Vicario; Cruz Enrique Borges Hernández; Aranzazu Echaniz Barrondo; Ángela García Pérez; Mikel Gómez Goiri; Ander Pijoan Lamas. 2018. "Ciudades amigables para todas las personas: Aprendizaje y Servicio Solidario para proyectos innovadores e inclusivos." DEUSTO Social Impact Briefings , no. : 1.
University of Deusto; Ainhoa Alonso Vicario; Iraia Oribe García; Cruz Enrique Borges Hernández; Marta Vila Gambao; Gemma Nohales Duarte; Michele Giavini. Key factors to meet prevention and recycling targets for municipal solid waste: collection systems, environmental education programmes and taxation. DEUSTO Social Impact Briefings 2018, 1 .
AMA StyleUniversity of Deusto, Ainhoa Alonso Vicario, Iraia Oribe García, Cruz Enrique Borges Hernández, Marta Vila Gambao, Gemma Nohales Duarte, Michele Giavini. Key factors to meet prevention and recycling targets for municipal solid waste: collection systems, environmental education programmes and taxation. DEUSTO Social Impact Briefings. 2018; ():1.
Chicago/Turabian StyleUniversity of Deusto; Ainhoa Alonso Vicario; Iraia Oribe García; Cruz Enrique Borges Hernández; Marta Vila Gambao; Gemma Nohales Duarte; Michele Giavini. 2018. "Key factors to meet prevention and recycling targets for municipal solid waste: collection systems, environmental education programmes and taxation." DEUSTO Social Impact Briefings , no. : 1.
Gorka Sorrosal; Eloy Irigoyen; Cruz E. Borges; Cristina Martin; Ana M. Macarulla; Ainhoa Alonso-Vicario. Artificial neural network modelling of the bioethanol-to-olefins process on a HZSM-5 catalyst treated with alkali. Applied Soft Computing 2017, 58, 648 -656.
AMA StyleGorka Sorrosal, Eloy Irigoyen, Cruz E. Borges, Cristina Martin, Ana M. Macarulla, Ainhoa Alonso-Vicario. Artificial neural network modelling of the bioethanol-to-olefins process on a HZSM-5 catalyst treated with alkali. Applied Soft Computing. 2017; 58 ():648-656.
Chicago/Turabian StyleGorka Sorrosal; Eloy Irigoyen; Cruz E. Borges; Cristina Martin; Ana M. Macarulla; Ainhoa Alonso-Vicario. 2017. "Artificial neural network modelling of the bioethanol-to-olefins process on a HZSM-5 catalyst treated with alkali." Applied Soft Computing 58, no. : 648-656.
Motor vehicle abuse entails emitting large amounts of greenhouse gases to the atmosphere. In order to reduce climate change and life expectancy loss, authorities want to launch a set of sustainable travel policies which should be evaluated before their deployment. Although multi-agent systems for traffic analyses are very popular, they mainly focus on faithfully reproducing vehicle displacement and interaction between vehicles. It is therefore necessary to go one step further and integrate the transport choice factors that take place before starting everyday journeys. We present the baseline Geosimulation that integrates all the steps of citizens home-to-work commutes for assessing the impact green travelling policies would have.
Ander Pijoan; Oihane Kamara-Esteban; Iraia Oribe-Garcia; Ainhoa Alonso-Vicario; Cruz E. Borges. GTPlat: Geosimulation for Assessing the Application of Incentives to Transport Planning. Advances in Intelligent Systems and Computing 2017, 631, 74 -89.
AMA StyleAnder Pijoan, Oihane Kamara-Esteban, Iraia Oribe-Garcia, Ainhoa Alonso-Vicario, Cruz E. Borges. GTPlat: Geosimulation for Assessing the Application of Incentives to Transport Planning. Advances in Intelligent Systems and Computing. 2017; 631 ():74-89.
Chicago/Turabian StyleAnder Pijoan; Oihane Kamara-Esteban; Iraia Oribe-Garcia; Ainhoa Alonso-Vicario; Cruz E. Borges. 2017. "GTPlat: Geosimulation for Assessing the Application of Incentives to Transport Planning." Advances in Intelligent Systems and Computing 631, no. : 74-89.
Ander Pijoan; Iraia Oribe-Garcia; Oihane Kamara-Esteban; Konstantinos N. Genikomsakis; Cruz E. Borges; Ainhoa Alonso-Vicario; Cruz Enrique Borges Hernández; Grzegorz Sierpiński. Regression Based Emission Models for Vehicle Contribution to Climate Change. Advances in Ergonomics in Design 2016, 505, 47 -63.
AMA StyleAnder Pijoan, Iraia Oribe-Garcia, Oihane Kamara-Esteban, Konstantinos N. Genikomsakis, Cruz E. Borges, Ainhoa Alonso-Vicario, Cruz Enrique Borges Hernández, Grzegorz Sierpiński. Regression Based Emission Models for Vehicle Contribution to Climate Change. Advances in Ergonomics in Design. 2016; 505 ():47-63.
Chicago/Turabian StyleAnder Pijoan; Iraia Oribe-Garcia; Oihane Kamara-Esteban; Konstantinos N. Genikomsakis; Cruz E. Borges; Ainhoa Alonso-Vicario; Cruz Enrique Borges Hernández; Grzegorz Sierpiński. 2016. "Regression Based Emission Models for Vehicle Contribution to Climate Change." Advances in Ergonomics in Design 505, no. : 47-63.
This paper presents a study on dynamic optimization of the catalytic transformation of Bioethanol-To-Olefins process. The main objective is to maximize the total production of Olefins by calculating simultaneously the optimal control trajectories for the main operating variables of the process. Using Neural Networks trained with two different types of Evolutionary Algorithms, the optimal trajectories have been automatically achieved, defining both an adequate shape and their corresponding parameters. The results suggest that, comparing with constant setpoints, the maximum production is increased up to 37.31% when using Neural Networks. The optimization procedure has become totally automatic and therefore very useful for real implementation.
Gorka Sorrosal; Cruz E. Borges; Martin Holeña; Ana María Macarulla; Cristina Martin; Ainhoa Alonso-Vicario. Evolutionary Dynamic Optimization of Control Trajectories for the Catalytic Transformation of the Bioethanol-To-Olefins Process using Neural Networks. Proceedings of the 2016 on SIGMOD'16 PhD Symposium 2016, 133 -134.
AMA StyleGorka Sorrosal, Cruz E. Borges, Martin Holeña, Ana María Macarulla, Cristina Martin, Ainhoa Alonso-Vicario. Evolutionary Dynamic Optimization of Control Trajectories for the Catalytic Transformation of the Bioethanol-To-Olefins Process using Neural Networks. Proceedings of the 2016 on SIGMOD'16 PhD Symposium. 2016; ():133-134.
Chicago/Turabian StyleGorka Sorrosal; Cruz E. Borges; Martin Holeña; Ana María Macarulla; Cristina Martin; Ainhoa Alonso-Vicario. 2016. "Evolutionary Dynamic Optimization of Control Trajectories for the Catalytic Transformation of the Bioethanol-To-Olefins Process using Neural Networks." Proceedings of the 2016 on SIGMOD'16 PhD Symposium , no. : 133-134.
Deployment, maintenance of Smart Homes, Smart Grids in real environments is an expensive, lengthy process. In this paradigm, simulations play an important role by providing means of emulating the behaviour of the aforementioned systems. However, these simulations may suffer from lack of accuracy due to the inability to properly reproduce the operation of complex technologies such as solar panels, Heating, Ventilating, Air Conditioning systems (HVAC), sewerage networks or water provisioning. Within this context, this paper presents a Smart-Home Simulation architecture that is able to carry out more representational simulations by merging agent-based simulation of human behaviour with real-world modelling capabilities such as those provided by the Simulink software. Based on the simulation of human behaviour, water, electricity consumption profiles are generated, sent to Simulink models using the TCP/IP communication protocol. The obtained results show that a synchronized connection of both platforms in feasible, enabling a more accurate representation of the systems involved.
Oihane Kamara-Esteban; Gorka Sorrosal; Ander Pijoan; Tony Castillo-Calzadilla; Xabiar Iriarte-Lopez; Ana M. Macarulla-Arenaza; Cristina Martín; Ainhoa Alonso-Vicario; Cruz E. Borges; Cruz Enrique Borges Hernández. Bridging the Gap between Real and Simulated Environments: A Hybrid Agent-Based Smart Home Simulator Architecture for Complex Systems. 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld) 2016, 220 -227.
AMA StyleOihane Kamara-Esteban, Gorka Sorrosal, Ander Pijoan, Tony Castillo-Calzadilla, Xabiar Iriarte-Lopez, Ana M. Macarulla-Arenaza, Cristina Martín, Ainhoa Alonso-Vicario, Cruz E. Borges, Cruz Enrique Borges Hernández. Bridging the Gap between Real and Simulated Environments: A Hybrid Agent-Based Smart Home Simulator Architecture for Complex Systems. 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld). 2016; ():220-227.
Chicago/Turabian StyleOihane Kamara-Esteban; Gorka Sorrosal; Ander Pijoan; Tony Castillo-Calzadilla; Xabiar Iriarte-Lopez; Ana M. Macarulla-Arenaza; Cristina Martín; Ainhoa Alonso-Vicario; Cruz E. Borges; Cruz Enrique Borges Hernández. 2016. "Bridging the Gap between Real and Simulated Environments: A Hybrid Agent-Based Smart Home Simulator Architecture for Complex Systems." 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld) , no. : 220-227.
The planning of waste management strategies needs tools to support decisions at all stages of the process. Accurate quantification of the waste to be generated is essential for both the daily management (short-term) and proper design of facilities (long-term). Designing without rigorous knowledge may have serious economic and environmental consequences. The present works aims at identifying relevant socio-economic features of municipalities regarding Household Waste (HW) generation by means of factor models. Factor models face two main drawbacks, data collection and identifying relevant explanatory variables within a heterogeneous group. Grouping similar characteristics observations within a group may favour the deduction of more robust models. The methodology followed has been tested with Biscay Province because it stands out for having very different municipalities ranging from very rural to urban ones. Two main models are developed, one for the overall province and a second one after clustering the municipalities. The results prove that relating municipalities with specific characteristics, improves the results in a very heterogeneous situation. The methodology has identified urban morphology, tourism activity, level of education and economic situation as the most influencing characteristics in HW generation
Iraia Oribe-Garcia; Oihane Kamara-Esteban; Cristina Martin; Ana M. Macarulla-Arenaza; Ainhoa Alonso-Vicario. Identification of influencing municipal characteristics regarding household waste generation and their forecasting ability in Biscay. Waste Management 2015, 39, 26 -34.
AMA StyleIraia Oribe-Garcia, Oihane Kamara-Esteban, Cristina Martin, Ana M. Macarulla-Arenaza, Ainhoa Alonso-Vicario. Identification of influencing municipal characteristics regarding household waste generation and their forecasting ability in Biscay. Waste Management. 2015; 39 ():26-34.
Chicago/Turabian StyleIraia Oribe-Garcia; Oihane Kamara-Esteban; Cristina Martin; Ana M. Macarulla-Arenaza; Ainhoa Alonso-Vicario. 2015. "Identification of influencing municipal characteristics regarding household waste generation and their forecasting ability in Biscay." Waste Management 39, no. : 26-34.
We present a methodology to improve the estimation of several Sustainability Indicators based on the measurement of walking distance to infrastructures combining Agent Based Simulation with Volunteer Geographic Information. Joining these two forces we construct a more realistic and accurate distribution of the infrastructures based on knowledge created by citizens and their perceptions instead of official data sources. A Situated Multi-Agent System is in charge of simulating not only the functional disparity and sociodemographic characteristics of the population but also the geographic reality in a dynamic way. Namely, the system will analyze different geographic barriers for each collective bringing new possibilities to improve the assessment of the needs of the population for a more sustainable development of the city. In this article we will describe the methodology to carry on several sustainability indicator measurements and present the results of the proposed methodology applied to several municipalities
Ander Pijoan; Cruz E. Borges; Iraia Oribe-Garcia; Cristina Martin; Ainhoa Alonso-Vicario. Agent Based Simulations for the Estimation of Sustainability Indicators. Procedia Computer Science 2015, 51, 2943 -2947.
AMA StyleAnder Pijoan, Cruz E. Borges, Iraia Oribe-Garcia, Cristina Martin, Ainhoa Alonso-Vicario. Agent Based Simulations for the Estimation of Sustainability Indicators. Procedia Computer Science. 2015; 51 ():2943-2947.
Chicago/Turabian StyleAnder Pijoan; Cruz E. Borges; Iraia Oribe-Garcia; Cristina Martin; Ainhoa Alonso-Vicario. 2015. "Agent Based Simulations for the Estimation of Sustainability Indicators." Procedia Computer Science 51, no. : 2943-2947.
Ainhoa Alonso-Vicario; A. M. Macarulla-Arenaza; I. Oribe-García. A comparative study for energetic valorisation of partially digested sewage sludge. Waste Management and the Environment VI 2012, 163, 103 -112.
AMA StyleAinhoa Alonso-Vicario, A. M. Macarulla-Arenaza, I. Oribe-García. A comparative study for energetic valorisation of partially digested sewage sludge. Waste Management and the Environment VI. 2012; 163 ():103-112.
Chicago/Turabian StyleAinhoa Alonso-Vicario; A. M. Macarulla-Arenaza; I. Oribe-García. 2012. "A comparative study for energetic valorisation of partially digested sewage sludge." Waste Management and the Environment VI 163, no. : 103-112.
Ana G. Gayubo; Ainhoa Alonso-Vicario; Beatriz Valle; Andrés T. Aguayo; Javier Bilbao. Deactivation kinetics of a HZSM-5 zeolite catalyst treated with alkali for the transformation of bio-ethanol into hydrocarbons. AIChE Journal 2011, 58, 526 -537.
AMA StyleAna G. Gayubo, Ainhoa Alonso-Vicario, Beatriz Valle, Andrés T. Aguayo, Javier Bilbao. Deactivation kinetics of a HZSM-5 zeolite catalyst treated with alkali for the transformation of bio-ethanol into hydrocarbons. AIChE Journal. 2011; 58 (2):526-537.
Chicago/Turabian StyleAna G. Gayubo; Ainhoa Alonso-Vicario; Beatriz Valle; Andrés T. Aguayo; Javier Bilbao. 2011. "Deactivation kinetics of a HZSM-5 zeolite catalyst treated with alkali for the transformation of bio-ethanol into hydrocarbons." AIChE Journal 58, no. 2: 526-537.
A kinetic model has been established for the transformation of bioethanol (aqueous ethanol) into hydrocarbons in the 400–500 °C range required for obtaining a high yield of propylene and butenes. The model considers the deactivation by coke of a catalyst prepared with HZSM-5 zeolite doped with 1 wt% Ni. This catalyst is hydrothermally stable and allows operating in reaction-regeneration cycles. The experimental data have been obtained in an isothermal fixed bed reactor for a wide range of operating conditions (space-time, water content in the feed and time on stream). The kinetic model is suitable for determining the evolution with time on stream of product lump concentration (ethylene, C3–C4 olefins, gasoline or C4–C10, and C1–C3 paraffins) in a wide range of space-time and water content in the reaction medium. Among the features of the kinetic model for the main reaction (zero time on stream kinetics) the following are worth mentioning: (i) the consideration of heavier hydrocarbon (in the C4–C12 lump) cracking steps to form ethylene; (ii) second order for the steps of ethylene transformation into the lumps of propylene + butenes and gasoline; (iii) the quantification of the effect of water in the reaction medium by attenuating the reaction rate of all the steps in the kinetic scheme (except the dehydration of ethanol, which is instantaneous under the conditions studied). The deactivation kinetics depends on ethylene concentration in the reaction medium and quantifies the attenuation of coke deactivation due to water in the reaction medium.
Ana G. Gayubo; Ainhoa Alonso; Beatriz Valle; Andrés T. Aguayo; Martin Olazar; Javier Bilbao. Kinetic modelling for the transformation of bioethanol into olefins on a hydrothermally stable Ni–HZSM-5 catalyst considering the deactivation by coke. Chemical Engineering Journal 2011, 167, 262 -277.
AMA StyleAna G. Gayubo, Ainhoa Alonso, Beatriz Valle, Andrés T. Aguayo, Martin Olazar, Javier Bilbao. Kinetic modelling for the transformation of bioethanol into olefins on a hydrothermally stable Ni–HZSM-5 catalyst considering the deactivation by coke. Chemical Engineering Journal. 2011; 167 (1):262-277.
Chicago/Turabian StyleAna G. Gayubo; Ainhoa Alonso; Beatriz Valle; Andrés T. Aguayo; Martin Olazar; Javier Bilbao. 2011. "Kinetic modelling for the transformation of bioethanol into olefins on a hydrothermally stable Ni–HZSM-5 catalyst considering the deactivation by coke." Chemical Engineering Journal 167, no. 1: 262-277.
The hydrothermal stability of catalysts prepared from HZSM-5 zeolites doped with Ni (by impregnation) has been studied in the transformation of bioethanol into hydrocarbons, in order to remove the main barrier for the use of HZSM-5 zeolite catalysts in this process, which is the irreversible deactivation by dealumination of the zeolite above 400 °C with water in the reaction medium. The main effect of doping is the attenuation of the zeolite acid strength from 135 to 125 kJ (mol of NH3)−1 for a Ni content of 1 wt.%. The catalysts maintain a high level of activity and a high selectivity of propene and butenes, and Ni doping significantly attenuates irreversible deactivation of the catalyst by dealumination of the zeolite. The zeolite catalyst doped with 1 wt.% of Ni maintains its kinetic behaviour in reaction-regeneration cycles when the reaction step is carried out at 500 °C and with 5 wt.% of water in the feed. This catalyst allows operating at 400 °C without irreversible deactivation with bioethanol containing 75 wt.% of water.
Ana G. Gayubo; Ainhoa Alonso; Beatriz Valle; Andrés T. Aguayo; Martin Olazar; Javier Bilbao. Hydrothermal stability of HZSM-5 catalysts modified with Ni for the transformation of bioethanol into hydrocarbons. Fuel 2010, 89, 3365 -3372.
AMA StyleAna G. Gayubo, Ainhoa Alonso, Beatriz Valle, Andrés T. Aguayo, Martin Olazar, Javier Bilbao. Hydrothermal stability of HZSM-5 catalysts modified with Ni for the transformation of bioethanol into hydrocarbons. Fuel. 2010; 89 (11):3365-3372.
Chicago/Turabian StyleAna G. Gayubo; Ainhoa Alonso; Beatriz Valle; Andrés T. Aguayo; Martin Olazar; Javier Bilbao. 2010. "Hydrothermal stability of HZSM-5 catalysts modified with Ni for the transformation of bioethanol into hydrocarbons." Fuel 89, no. 11: 3365-3372.
The cleaning (H2S removal) and upgrading (CO2/CH4 ratio adjustment for syngas synthesis) of biogas by pressure swing adsorption (PSA) with thermal desorption using two synthetic molecular sieves (5A and 13X) and a natural zeolite (Clinoptilolite) as adsorbent materials have been studied. Prior to use, zeolites were activated according to literature methods and supplier recommendations in order to dispose of adsorbed gases and soluble impurities which may compete with H2S and CO2 for the active sites of the zeolites. The behaviours of the zeolites have been compared by using three basic parameters: selectivity, capacity and regenerability. The experimental results indicate that Clinoptilolite is the best material choice because it is simultaneously suitable both for the purification and upgrading of biogas. For a CH4/CO2/H2S biogas molar composition of 59.95/39.95/0.10, the breakthrough capacity of Clinoptilolite at 1 cm/s biogas feeding velocity, 7 bar and 25 °C is 1.39 mgH2S/g Clinoptilolite, twice the adsorption capacity of the synthetic molecular sieves subjected to study. The high CO2 adsorption capacity observed (173.9 mg CO2/g Clinoptilolite) makes the adjusting of CH4/CO2 ratio in the biogas possible. Additionally, Clinoptilolite is completely regenerable and stable through several adsorption–desorption cycles which, together with its abundance and low cost, make this process highly attractive from an economical standpoint. Finally, this study demonstrates the importance of the selection of the optimal activation method of natural zeolites in order to offset variable composition and low purity often responsible for poorer separation performance compared to synthetic zeolites.
Ainhoa Alonso-Vicario; José R. Ochoa-Gómez; S. Gil-Río; O. Gómez-Jiménez-Aberasturi; C.A. Ramírez-López; J. Torrecilla-Soria; A. Domínguez. Purification and upgrading of biogas by pressure swing adsorption on synthetic and natural zeolites. Microporous and Mesoporous Materials 2010, 134, 100 -107.
AMA StyleAinhoa Alonso-Vicario, José R. Ochoa-Gómez, S. Gil-Río, O. Gómez-Jiménez-Aberasturi, C.A. Ramírez-López, J. Torrecilla-Soria, A. Domínguez. Purification and upgrading of biogas by pressure swing adsorption on synthetic and natural zeolites. Microporous and Mesoporous Materials. 2010; 134 (1-3):100-107.
Chicago/Turabian StyleAinhoa Alonso-Vicario; José R. Ochoa-Gómez; S. Gil-Río; O. Gómez-Jiménez-Aberasturi; C.A. Ramírez-López; J. Torrecilla-Soria; A. Domínguez. 2010. "Purification and upgrading of biogas by pressure swing adsorption on synthetic and natural zeolites." Microporous and Mesoporous Materials 134, no. 1-3: 100-107.
The hydrothermal stability of two alternative catalysts for the production of hydrocarbons from crude bio-oil has been studied. The valorisation of crude bio-oil from lignocellulosic biomass pyrolysis has been studied by means of a two-step process (thermal-catalytic) and co-feeding methanol, which are strategies that attenuate both the deposition of pyrolytic lignin and catalyst deactivation by coke deposition. A catalyst prepared based on a HZSM-5 zeolite with a SiO2/Al2O3 ratio of 80 produces a C2–C4 olefins yield of 32 wt% at 500 °C and with a space time of 0.371 (g of catalyst) h (g of oxygenates)−1. The modification of a HZSM-5 zeolite (SiO2/Al2O3 ratio of 30) by impregnation with 1 wt% of Ni produces a yield of aromatics of 42 wt% for the same temperature and space time. These catalysts are very active for bio-oil valorisation (conversion above 90%) with high hydrothermal stability, given that their kinetic behaviour is similar throughout 10 successive reaction–regeneration cycles carried out under severe operating conditions.
Beatriz Valle; Ana G. Gayubo; Ainhoa Alonso-Vicario; Andres Tomas Aguayo; Javier Bilbao. Hydrothermally stable HZSM-5 zeolite catalysts for the transformation of crude bio-oil into hydrocarbons. Applied Catalysis B: Environmental 2010, 100, 318 -327.
AMA StyleBeatriz Valle, Ana G. Gayubo, Ainhoa Alonso-Vicario, Andres Tomas Aguayo, Javier Bilbao. Hydrothermally stable HZSM-5 zeolite catalysts for the transformation of crude bio-oil into hydrocarbons. Applied Catalysis B: Environmental. 2010; 100 (1-2):318-327.
Chicago/Turabian StyleBeatriz Valle; Ana G. Gayubo; Ainhoa Alonso-Vicario; Andres Tomas Aguayo; Javier Bilbao. 2010. "Hydrothermally stable HZSM-5 zeolite catalysts for the transformation of crude bio-oil into hydrocarbons." Applied Catalysis B: Environmental 100, no. 1-2: 318-327.
BACKGROUND: An indirect solvent‐free synthetic approach for obtaining glycerol carbonate and glycidol from glycerol and CO2 through their more reactive and easily synthesizable derivatives 3‐chloro‐1,2‐propanediol (HAL) and potassium (hydrogen) carbonate has been studied. RESULTS: The reaction is fast with source of carbonation and temperature having a strong influence on the results. A yield of 80% glycerol carbonate together with a simultaneous substantial production of glycidol (0.56 mol mol−1 glycerol carbonate) are obtained using K2CO3 as the carbonation source at 80 °C, a reaction time of 30 min and a 3:1 HAL/K2CO3 molar ratio. A lower yield of glycerol carbonate (60%) is obtained from KHCO3 after 50 min with the other experimental conditions remaining unchanged. In this case, glycidol formation is zero or insignificant. Glycerol is also obtained in high yields, although in much lower amounts from KHCO3 (∼0.59 mol mol−1 glycerol carbonate independent of operating conditions) than from K2CO3 (0.84–1.1 mol mol−1 glycerol carbonate, depending on experimental conditions). CONCLUSIONS: The proposed synthetic strategy overcomes the currently difficult direct reaction between glycerol and CO2, leading to the simultaneous synthesis of two valuable chemicals: glycerol carbonate and glycidol. However, glycerol is also obtained in substantial amounts thus decreasing the overall yield of the process. Thus, methods for preventing its formation must be developed for industrial feasibility. Copyright © 2010 Society of Chemical Industry
Olga Gómez-Jiménez-Aberasturi; José R. Ochoa-Gómez; Amaia Pesquera-Rodríguez; Camilo Ramírez-López; Ainhoa Alonso-Vicario; Jesús Torrecilla-Soria. Solvent-free synthesis of glycerol carbonate and glycidol from 3-chloro-1,2-propanediol and potassium (hydrogen) carbonate. Journal of Chemical Technology & Biotechnology 2010, 85, 1663 -1670.
AMA StyleOlga Gómez-Jiménez-Aberasturi, José R. Ochoa-Gómez, Amaia Pesquera-Rodríguez, Camilo Ramírez-López, Ainhoa Alonso-Vicario, Jesús Torrecilla-Soria. Solvent-free synthesis of glycerol carbonate and glycidol from 3-chloro-1,2-propanediol and potassium (hydrogen) carbonate. Journal of Chemical Technology & Biotechnology. 2010; 85 (12):1663-1670.
Chicago/Turabian StyleOlga Gómez-Jiménez-Aberasturi; José R. Ochoa-Gómez; Amaia Pesquera-Rodríguez; Camilo Ramírez-López; Ainhoa Alonso-Vicario; Jesús Torrecilla-Soria. 2010. "Solvent-free synthesis of glycerol carbonate and glycidol from 3-chloro-1,2-propanediol and potassium (hydrogen) carbonate." Journal of Chemical Technology & Biotechnology 85, no. 12: 1663-1670.