http://hdl.handle.net/2117/3141 Thu, 23 May 2013 09:51:19 GMT 2013-05-23T09:51:19Z webmaster.bupc@upc.edu Universitat Politècnica de Catalunya. Servei de Biblioteques i Documentació no http://hdl.handle.net/2117/18629 Title: Prospective and perspective review in integrated supply chain modelling for the chemical process industry Authors: Lainez Aguirre, José Miguel; Puigjaner Corbella, Lluís Abstract: There is a large body of work on modelling and optimisation of the supply chain in the chemical process industry. This review summarises the most recent concepts and structural components constituting the SC. It describes the enlarged scope presently attributed to supply chain management, which departs from classical approaches focused on operations to a more integrated conception that jointly considers necessary decisions from other business functional areas (e.g. corporate finances, new product development, environmental management), as well as captures the complex dynamics characterizing the supply chain management (SCM) problem. Moreover, new perspectives come into focus for enterprise-wide decision-making through the use of ontologies that provide a general model representation for different decision-support levels at different time and space scales. Fri, 05 Apr 2013 08:18:14 GMT http://hdl.handle.net/2117/18629 2013-04-05T08:18:14Z Lainez Aguirre, José Miguel; Puigjaner Corbella, Lluís no There is a large body of work on modelling and optimisation of the supply chain in the chemical process industry. This review summarises the most recent concepts and structural components constituting the SC. It describes the enlarged scope presently attributed to supply chain management, which departs from classical approaches focused on operations to a more integrated conception that jointly considers necessary decisions from other business functional areas (e.g. corporate finances, new product development, environmental management), as well as captures the complex dynamics characterizing the supply chain management (SCM) problem. Moreover, new perspectives come into focus for enterprise-wide decision-making through the use of ontologies that provide a general model representation for different decision-support levels at different time and space scales. http://hdl.handle.net/2117/18627 Title: Simultaneous production and logistics operations planning in semicontinuous food industries Authors: Kopanos, Georgios; Puigjaner Corbella, Lluís; Georgiadis, Michael C. Abstract: The production and logistics operations planning in real-life single- or multi-site semicontinuous food industries is addressed in this work. A discrete/continuous-time mixed integer programming model, based on the definition of families of products, is developed for the problem in question. A remarkable feature of the proposed approach is that in the production planning problem timing and sequencing decisions are taken for product families rather than for products. However, material balances are realized for every specific product, thus permitting the detailed optimization of production, inventory, and transportation costs. Changeovers are also explicitly taken into account and optimized. Moreover, alternative transportation modes are considered for the delivery of final products from production sites to distribution centers. The efficiency and the applicability of the proposed approach is demonstrated by solving to optimality two industrial-size case studies, for an emerging real-life Greek dairy industry. Fri, 05 Apr 2013 07:52:31 GMT http://hdl.handle.net/2117/18627 2013-04-05T07:52:31Z Kopanos, Georgios; Puigjaner Corbella, Lluís; Georgiadis, Michael C. no The production and logistics operations planning in real-life single- or multi-site semicontinuous food industries is addressed in this work. A discrete/continuous-time mixed integer programming model, based on the definition of families of products, is developed for the problem in question. A remarkable feature of the proposed approach is that in the production planning problem timing and sequencing decisions are taken for product families rather than for products. However, material balances are realized for every specific product, thus permitting the detailed optimization of production, inventory, and transportation costs. Changeovers are also explicitly taken into account and optimized. Moreover, alternative transportation modes are considered for the delivery of final products from production sites to distribution centers. The efficiency and the applicability of the proposed approach is demonstrated by solving to optimality two industrial-size case studies, for an emerging real-life Greek dairy industry. http://hdl.handle.net/2117/18611 Title: Efficient mathematical frameworks for detailed production scheduling in food processing industries Authors: Kopanos, Georgios; Puigjaner Corbella, Lluís; Georgiadis, Michael C. Abstract: The production scheduling of a real-world multistage food process is considered in this work. An efficient mixed integer programming (MIP) continuous-time model is proposed to address the production problem under study. The overall mathematical framework relies on an efficient modeling approach of the sequencing decisions, the integrated modeling of all production stages, and the inclusion of a set of strong tightening constraints. The simultaneous optimization of all processing stages aims at facilitating the interaction among the different departments of the production facility. Moreover, an alternative MIP-based solution strategy is proposed for dealing with large-scale food processing scheduling problems. Although this method may no guarantee global optimality, it favors low computational requirements and solutions of very good quality. Several problem instances are solved to reveal the salient computational performance and the practical benefits of the proposed MIP formulation and solution strategy. Thu, 04 Apr 2013 12:15:07 GMT http://hdl.handle.net/2117/18611 2013-04-04T12:15:07Z Kopanos, Georgios; Puigjaner Corbella, Lluís; Georgiadis, Michael C. no The production scheduling of a real-world multistage food process is considered in this work. An efficient mixed integer programming (MIP) continuous-time model is proposed to address the production problem under study. The overall mathematical framework relies on an efficient modeling approach of the sequencing decisions, the integrated modeling of all production stages, and the inclusion of a set of strong tightening constraints. The simultaneous optimization of all processing stages aims at facilitating the interaction among the different departments of the production facility. Moreover, an alternative MIP-based solution strategy is proposed for dealing with large-scale food processing scheduling problems. Although this method may no guarantee global optimality, it favors low computational requirements and solutions of very good quality. Several problem instances are solved to reveal the salient computational performance and the practical benefits of the proposed MIP formulation and solution strategy. http://hdl.handle.net/2117/17095 Title: Design of regional and sustainable bio-based networks for electricity generation using a multi-objective MILP approach Authors: Pérez Fortes, María del Mar; Lainez Aguirre, José Miguel; Arranz Piera, Pol; Velo García, Enrique; Puigjaner Corbella, Lluís Abstract: Biomass energy systems can be employed to meet the requirements of distributed energy systems in rural as well as urban contexts, whether this is an electrification or a microgeneration project. This work is focused on a mathematical programming approach applied to bio-based supply chains that use locally available biomass at or near the point of use in order to produce electricity or other bioproduct. The problem of designing and planning a regional biomass supply chain is formulated as a MO-MILP (multi-objective mixed integer linear program), which takes into account three main objectives: economic, environmental and social criteria. The model supports decision-making about location and capacity of technologies, connectivity between the supply entities, biomass storage periods, matter transportation and biomass utilisation. The advantages of this approach are highlighted by solving a case study of a specific district in Ghana. The aim is to determine the most suitable biomass and electricity network among the different communities. The technology considered to transform the biomass into electricity is gasification combined with a gas engine. Tue, 11 Dec 2012 10:29:29 GMT http://hdl.handle.net/2117/17095 2012-12-11T10:29:29Z Pérez Fortes, María del Mar; Lainez Aguirre, José Miguel; Arranz Piera, Pol; Velo García, Enrique; Puigjaner Corbella, Lluís no Biomass energy systems can be employed to meet the requirements of distributed energy systems in rural as well as urban contexts, whether this is an electrification or a microgeneration project. This work is focused on a mathematical programming approach applied to bio-based supply chains that use locally available biomass at or near the point of use in order to produce electricity or other bioproduct. The problem of designing and planning a regional biomass supply chain is formulated as a MO-MILP (multi-objective mixed integer linear program), which takes into account three main objectives: economic, environmental and social criteria. The model supports decision-making about location and capacity of technologies, connectivity between the supply entities, biomass storage periods, matter transportation and biomass utilisation. The advantages of this approach are highlighted by solving a case study of a specific district in Ghana. The aim is to determine the most suitable biomass and electricity network among the different communities. The technology considered to transform the biomass into electricity is gasification combined with a gas engine. http://hdl.handle.net/2117/16775 Title: Identification of volatile organic compounds (VOC) emitted from three European orchid species with different pollination strategies : two deceptive orchids (Himantoglossum robertianum and Ophrys apifera) and a rewarding (Gymnadenia conopsea) Authors: Gallego Piñol, Eva; Gelabert, A.; Roca Mussons, Francisco Javier; Perales, Francisco; Guardino, X. Abstract: Volatile organic compounds (VOC) emission was evaluated in the inflorescences of three species of the family Orchidaceae: Himantoglossum robertianum, Ophrys apifera and Gymnadenia conopsea, that comprise three different pollination strategies: non-rewarding food deceptive, non-rewarding sexually deceptive and nectar rewarding, respectively. VOC were dynamically sampled in custom packed glass multi-sorbent cartridge tubes (Carbotrap, Carbopack X and Carboxen 569). A modified Tedlar® gas sampling bag was placed in vivo covering the inflorescence of the studied orchid, a design that prevents the dilution of the VOC mixture emitted by the flower. Multi-sorbent bed tubes were analysed through automatic thermal desorption coupled with a capillary gas chromatography/mass spectrometry detector. A total of 106 different VOC were found in the scents emitted by the three different studied orchids. A 54% of these compounds had already been identified in floral scents. Generally, only 3 compounds were highly abundant in each species: α-pinene, β-pinene and limonene in Himantoglossum robertianum; 1-butanol, butyl ether and caryophyllene in Ophrys apifera; and phenethyl acetate, eugenol and benzaldehyde in Gymnadenia conopsea. The employment of the presented methodology Mon, 22 Oct 2012 11:41:44 GMT http://hdl.handle.net/2117/16775 2012-10-22T11:41:44Z Gallego Piñol, Eva; Gelabert, A.; Roca Mussons, Francisco Javier; Perales, Francisco; Guardino, X. no Volatile organic compounds (VOC) emission was evaluated in the inflorescences of three species of the family Orchidaceae: Himantoglossum robertianum, Ophrys apifera and Gymnadenia conopsea, that comprise three different pollination strategies: non-rewarding food deceptive, non-rewarding sexually deceptive and nectar rewarding, respectively. VOC were dynamically sampled in custom packed glass multi-sorbent cartridge tubes (Carbotrap, Carbopack X and Carboxen 569). A modified Tedlar® gas sampling bag was placed in vivo covering the inflorescence of the studied orchid, a design that prevents the dilution of the VOC mixture emitted by the flower. Multi-sorbent bed tubes were analysed through automatic thermal desorption coupled with a capillary gas chromatography/mass spectrometry detector. A total of 106 different VOC were found in the scents emitted by the three different studied orchids. A 54% of these compounds had already been identified in floral scents. Generally, only 3 compounds were highly abundant in each species: α-pinene, β-pinene and limonene in Himantoglossum robertianum; 1-butanol, butyl ether and caryophyllene in Ophrys apifera; and phenethyl acetate, eugenol and benzaldehyde in Gymnadenia conopsea. The employment of the presented methodology http://hdl.handle.net/2117/16665 Title: Ontological framework for enterprise-wide integrated decision-making at operational level Authors: Muñoz, Edrisi; Capón García, Elisabet; Espuña Camarasa, Antonio; Puigjaner Corbella, Lluís Abstract: In the domain of chemical process engineering, there is an increased interest in the integration of the enterprise hierarchical levels for decision-making purposes. At the scheduling level, decisions on the allocation of tasks to resources, sequencing and timing of tasks must be managed. However, such decisions are directly related to other enterprise actions, such as control and planning, but they are difficult to coordinate because they are modeled at different time and space scales, and their goals are not the same. In order to achieve integrated decisions supported by high quality information, there is a need to improve and develop robust computational tools and consistent models. In general, scheduling optimization approaches for decision-making differ depending on problem features, such as physical layout or time representation. Therefore, this work focuses on providing a framework based on a semantic model that captures the diversity in scheduling problem representation. Such semantic model uses the master recipe concept from the ANSI/ISA-88 standard perspective and encapsulates the scheduling decision task features. As a result, by the use of a single representation approach, any scheduling problem can be modeled and solved by its adequate optimization tool. The potential of a general model representation is presented by means of several case studies related to the scheduling function. Such case studies shed light to the model capabilities to represent different kinds and particular scheduling problems, achieving integration at the different decision support levels. Mon, 08 Oct 2012 09:55:28 GMT http://hdl.handle.net/2117/16665 2012-10-08T09:55:28Z Muñoz, Edrisi; Capón García, Elisabet; Espuña Camarasa, Antonio; Puigjaner Corbella, Lluís no Decision-levels integration, Multiproduct plant, Multipurpose plant, Ontology, Process scheduling In the domain of chemical process engineering, there is an increased interest in the integration of the enterprise hierarchical levels for decision-making purposes. At the scheduling level, decisions on the allocation of tasks to resources, sequencing and timing of tasks must be managed. However, such decisions are directly related to other enterprise actions, such as control and planning, but they are difficult to coordinate because they are modeled at different time and space scales, and their goals are not the same. In order to achieve integrated decisions supported by high quality information, there is a need to improve and develop robust computational tools and consistent models. In general, scheduling optimization approaches for decision-making differ depending on problem features, such as physical layout or time representation. Therefore, this work focuses on providing a framework based on a semantic model that captures the diversity in scheduling problem representation. Such semantic model uses the master recipe concept from the ANSI/ISA-88 standard perspective and encapsulates the scheduling decision task features. As a result, by the use of a single representation approach, any scheduling problem can be modeled and solved by its adequate optimization tool. The potential of a general model representation is presented by means of several case studies related to the scheduling function. Such case studies shed light to the model capabilities to represent different kinds and particular scheduling problems, achieving integration at the different decision support levels. http://hdl.handle.net/2117/16655 Title: Fault diagnosis of a benchmark fermentation process: a comparative study of feature extraction and classification techniques Authors: Monroy, Isaac; Villez, Kris; Graells Sobré, Moisès; Venkatasubramanian, Venkat Abstract: This paper investigates fault diagnosis in batch processes and presents a comparative study of feature extraction and classification techniques applied to a specific biotechnological case study: the fermentation process model by Birol et al. (Comput Chem Eng 26:1553–1565, 2002), which is a benchmark for advanced batch processes monitoring, diagnosis and control. Fault diagnosis is achieved using four approaches on four different process scenarios based on the different levels of noise so as to evaluate their effects on the performance. Each approach combines a feature extraction method, either multi-way principal component analysis (MPCA) or multi-way independent component analysis (MICA), with a classification method, either artificial neural network (ANN) or support vector machines (SVM). The performance obtained by the different approaches is assessed and discussed for a set of simulated faults under different scenarios. One of the faults (a loss in mixing power) could not be detected due to the minimal effect of mixing on the simulated data. The remaining faults could be easily diagnosed and the subsequent discussion provides practical insight into the selection and use of the available techniques to specific applications. Irrespective of the classification algorithm, MPCA renders better results than MICA, hence the diagnosis performance proves to be more sensitive Fri, 05 Oct 2012 10:42:20 GMT http://hdl.handle.net/2117/16655 2012-10-05T10:42:20Z Monroy, Isaac; Villez, Kris; Graells Sobré, Moisès; Venkatasubramanian, Venkat no Fault diagnosis, Fermentation processes, MPCA, MICA, ANN, SVM This paper investigates fault diagnosis in batch processes and presents a comparative study of feature extraction and classification techniques applied to a specific biotechnological case study: the fermentation process model by Birol et al. (Comput Chem Eng 26:1553–1565, 2002), which is a benchmark for advanced batch processes monitoring, diagnosis and control. Fault diagnosis is achieved using four approaches on four different process scenarios based on the different levels of noise so as to evaluate their effects on the performance. Each approach combines a feature extraction method, either multi-way principal component analysis (MPCA) or multi-way independent component analysis (MICA), with a classification method, either artificial neural network (ANN) or support vector machines (SVM). The performance obtained by the different approaches is assessed and discussed for a set of simulated faults under different scenarios. One of the faults (a loss in mixing power) could not be detected due to the minimal effect of mixing on the simulated data. The remaining faults could be easily diagnosed and the subsequent discussion provides practical insight into the selection and use of the available techniques to specific applications. Irrespective of the classification algorithm, MPCA renders better results than MICA, hence the diagnosis performance proves to be more sensitive http://hdl.handle.net/2117/15563 Title: Simultaneous evaluation of odor episodes and air quality in urban areas by multi-sorbent sampling and TD-GC/MS analysis Authors: Gallego Piñol, Eva; Roca Mussons, Francisco Javier; Perales Lorente, José Francisco; Guardino Solà, Xavier Abstract: A validated analytical method, based on thermal desorption (TD) coupled to gas chromatography (GC) and mass spectrometry (MS), is used for air-quality measurements of volatile organic compounds in indoor and outdoor air, including alkanes, aromatic hydrocarbons, aldehydes, alcohols, chlorides, esters, ketones, terpenes, amides, carbon disulfide and isocyanates. Tue, 13 Mar 2012 14:40:32 GMT http://hdl.handle.net/2117/15563 2012-03-13T14:40:32Z Gallego Piñol, Eva; Roca Mussons, Francisco Javier; Perales Lorente, José Francisco; Guardino Solà, Xavier no A validated analytical method, based on thermal desorption (TD) coupled to gas chromatography (GC) and mass spectrometry (MS), is used for air-quality measurements of volatile organic compounds in indoor and outdoor air, including alkanes, aromatic hydrocarbons, aldehydes, alcohols, chlorides, esters, ketones, terpenes, amides, carbon disulfide and isocyanates. http://hdl.handle.net/2117/15442 Title: Ontological framework for the enterprise from a process perspective. Operational, tactical and strategic integration for improved decision-making Authors: Muñoz Mata, Edrisi; Capón García, Elisabet; Lainez Aguirre, José Miguel; Espuña Camarasa, Antonio; Puigjaner Corbella, Lluís Abstract: Enterprises are highly complex systems in which one or more organizations share a definite mission, goals and objectives to offer a productor service. Thus, enterprises comprise several functions which interact with each other, such as production, marketing, sales, human resources or logistics. As a result, decision-makingin the enterprise becomes a highly challenging task, and such decision process is usually separated in several levels. Nevertheless, such levels are closely related, since they share data and information. Therefore, effective integration among the different hierarchical levels, by means of tools improving information sharing and communication, may play a crucial role for the enhanced enterprise operation, and consequently for fulfilling the enterprise’s goals. In order to achieve integration among the different decision levels, it is necessary to establish a common modelling framework. In this work, an ontological framework is built as the mechanism for information and knowledge models sharing for multiple applications. The potential of the general semantic framework developed (model maintenance, usability and re-usability) is demonstrated in the enterprise supply chain network design-planning problem case study presented. Further work is under way to unveil the full potential to implement a large-scale semantic web approach to support business processes decisions. Thu, 01 Mar 2012 13:19:36 GMT http://hdl.handle.net/2117/15442 2012-03-01T13:19:36Z Muñoz Mata, Edrisi; Capón García, Elisabet; Lainez Aguirre, José Miguel; Espuña Camarasa, Antonio; Puigjaner Corbella, Lluís no Enterprises are highly complex systems in which one or more organizations share a definite mission, goals and objectives to offer a productor service. Thus, enterprises comprise several functions which interact with each other, such as production, marketing, sales, human resources or logistics. As a result, decision-makingin the enterprise becomes a highly challenging task, and such decision process is usually separated in several levels. Nevertheless, such levels are closely related, since they share data and information. Therefore, effective integration among the different hierarchical levels, by means of tools improving information sharing and communication, may play a crucial role for the enhanced enterprise operation, and consequently for fulfilling the enterprise’s goals. In order to achieve integration among the different decision levels, it is necessary to establish a common modelling framework. In this work, an ontological framework is built as the mechanism for information and knowledge models sharing for multiple applications. The potential of the general semantic framework developed (model maintenance, usability and re-usability) is demonstrated in the enterprise supply chain network design-planning problem case study presented. Further work is under way to unveil the full potential to implement a large-scale semantic web approach to support business processes decisions. http://hdl.handle.net/2117/15377 Title: Production scheduling in multiproduct multistage semicontinuous food processes Authors: Kopanos, Georgios; Puigjaner Corbella, Lluís; Georgiadis, Michael C. Abstract: This works presents a novel mixed-integer programming framework and a solution strategy for the optimal production scheduling of multiproduct and multistage food process industries, such as ice-cream production facilities, studied in detail. The overall mathematical framework relies on an efficient modeling approach of the sequencing decisions, the integrated modeling of all production stages, and the inclusion of strong valid integer cuts in the formulation. The simultaneous optimization of all processing stages increases the plant production capacity, reduces the production cost for final products, and facilitates interaction among the different departments of the production facility. Several instances of a real-life industrial case study concerning ice-cream production have been solved to optimality to illustrate the applicability and efficiency of the overall modeling and solution approach. Mon, 27 Feb 2012 12:03:47 GMT http://hdl.handle.net/2117/15377 2012-02-27T12:03:47Z Kopanos, Georgios; Puigjaner Corbella, Lluís; Georgiadis, Michael C. no This works presents a novel mixed-integer programming framework and a solution strategy for the optimal production scheduling of multiproduct and multistage food process industries, such as ice-cream production facilities, studied in detail. The overall mathematical framework relies on an efficient modeling approach of the sequencing decisions, the integrated modeling of all production stages, and the inclusion of strong valid integer cuts in the formulation. The simultaneous optimization of all processing stages increases the plant production capacity, reduces the production cost for final products, and facilitates interaction among the different departments of the production facility. Several instances of a real-life industrial case study concerning ice-cream production have been solved to optimality to illustrate the applicability and efficiency of the overall modeling and solution approach. http://hdl.handle.net/2117/15376 Title: Resource-constrained production planning in semicontinuous food industries Authors: Kopanos, Georgios; Puigjaner Corbella, Lluís; Georgiadis, Michael C. Abstract: The resource-constrained production planning problem in semicontinuous multiproduct food industries is addressed. In particular, the case of yogurt production, a representative food process, in a real-life dairy facility is studied in detail. The problem in question is mainly focused on the packing stage, whereas timing and capacity constraints are imposed with respect to the batch stage to ensure the generation of feasible production plans. A novel mixed discrete/continuous-time mixed-integer linear programming model, based on the definition of families of products, is proposed. Timing and sequencing decisions are taken for product families rather than for products; thus, reducing significantly the model size. Additionally, material balances are realized for every particular product, permitting the detailed optimization of inventory and operating costs. Packing units operate in parallel and share resources. Qualitative as well as quantitative objectives are considered. Several industrial case studies, including also some unexpected events scenarios, have been solved to optimality. Mon, 27 Feb 2012 11:46:13 GMT http://hdl.handle.net/2117/15376 2012-02-27T11:46:13Z Kopanos, Georgios; Puigjaner Corbella, Lluís; Georgiadis, Michael C. no The resource-constrained production planning problem in semicontinuous multiproduct food industries is addressed. In particular, the case of yogurt production, a representative food process, in a real-life dairy facility is studied in detail. The problem in question is mainly focused on the packing stage, whereas timing and capacity constraints are imposed with respect to the batch stage to ensure the generation of feasible production plans. A novel mixed discrete/continuous-time mixed-integer linear programming model, based on the definition of families of products, is proposed. Timing and sequencing decisions are taken for product families rather than for products; thus, reducing significantly the model size. Additionally, material balances are realized for every particular product, permitting the detailed optimization of inventory and operating costs. Packing units operate in parallel and share resources. Qualitative as well as quantitative objectives are considered. Several industrial case studies, including also some unexpected events scenarios, have been solved to optimality. http://hdl.handle.net/2117/15315 Title: Co-production of electricity and hydrogen from coal and biomass gasification Authors: Pérez Fortes, María del Mar; Bojarski, Aarón David; Puigjaner Corbella, Lluís Abstract: This work addresses the techno-economic and environmental analysis of an Integrated Gasification Combined Cycle power plant (IGCC) of 308 MWe of gross power, giving particular attention to co-gasification and co-production of electricity and H2. Products, sub-products and effluents distributions are estimated by means of an ad-hoc developed superstructure for conceptual design of syngas generation and treatment, delivering preliminary fiowsheets targeted to co-production. The resulting multi-objective optimization problem evaluates the trade-off between the cost of energy (COE), the total energy efficiency of the plant and the environmental impact evaluated through Impact 2002+ indicator. Sixteen scenarios are considered: 4 different feedstock's combined with 4 alteruative plant topologies; electricity generation from syngas, electricity generation from H2, and purified H2 production from fiue gas in a Pressure Swing Adsorption (PSA) unit in the Combined Cycle (CC). The case studies environmental boundary has been drawn from cradle to gateo The Pareto Frontiers (PF) for the Key Performance Indicators (KPIs) trade-off evaluation reveals that the scenario with petcoke as feedstock and H2 production with PSA fiue gas profit is the best one in terms of eHíciency maximization and COE minimization. Scenario with residual biomass without PSA fiue gas profit is the best in terms of environmental impact. Wed, 22 Feb 2012 19:18:26 GMT http://hdl.handle.net/2117/15315 2012-02-22T19:18:26Z Pérez Fortes, María del Mar; Bojarski, Aarón David; Puigjaner Corbella, Lluís no This work addresses the techno-economic and environmental analysis of an Integrated Gasification Combined Cycle power plant (IGCC) of 308 MWe of gross power, giving particular attention to co-gasification and co-production of electricity and H2. Products, sub-products and effluents distributions are estimated by means of an ad-hoc developed superstructure for conceptual design of syngas generation and treatment, delivering preliminary fiowsheets targeted to co-production. The resulting multi-objective optimization problem evaluates the trade-off between the cost of energy (COE), the total energy efficiency of the plant and the environmental impact evaluated through Impact 2002+ indicator. Sixteen scenarios are considered: 4 different feedstock's combined with 4 alteruative plant topologies; electricity generation from syngas, electricity generation from H2, and purified H2 production from fiue gas in a Pressure Swing Adsorption (PSA) unit in the Combined Cycle (CC). The case studies environmental boundary has been drawn from cradle to gateo The Pareto Frontiers (PF) for the Key Performance Indicators (KPIs) trade-off evaluation reveals that the scenario with petcoke as feedstock and H2 production with PSA fiue gas profit is the best one in terms of eHíciency maximization and COE minimization. Scenario with residual biomass without PSA fiue gas profit is the best in terms of environmental impact. http://hdl.handle.net/2117/15084 Title: Odor control in urban areas originated from multiple focuses. Identification of potentially toxic compounds Authors: Gallego Piñol, Eva; Roca Mussons, Francisco Javier; Perales Lorente, José Francisco; Guardino Solà, Xavier Abstract: The application of olfactometric methods is the usual methodology employed nowadays to determine odor annoyance in urban areas and to measure odor emission rates in stationary focuses. The use of an odor reference substance (a chemical compound which is used as reference) for the odor assessment, especially when several odorous focuses could impact simultaneously in a particular point, is arguably. In addition to that, the sensorial methods used do not allow the discrimination of the potentially toxic substances responsible of the odor episodes, given that these methods do not identify the concrete chemical compounds that cause the odor. Mon, 13 Feb 2012 11:00:00 GMT http://hdl.handle.net/2117/15084 2012-02-13T11:00:00Z Gallego Piñol, Eva; Roca Mussons, Francisco Javier; Perales Lorente, José Francisco; Guardino Solà, Xavier no The application of olfactometric methods is the usual methodology employed nowadays to determine odor annoyance in urban areas and to measure odor emission rates in stationary focuses. The use of an odor reference substance (a chemical compound which is used as reference) for the odor assessment, especially when several odorous focuses could impact simultaneously in a particular point, is arguably. In addition to that, the sensorial methods used do not allow the discrimination of the potentially toxic substances responsible of the odor episodes, given that these methods do not identify the concrete chemical compounds that cause the odor. http://hdl.handle.net/2117/14886 Title: Designing reactive distillation columns under explicit sustainability considerations Authors: Puigjaner Corbella, Lluís; Bojarski, Aarón David Abstract: Reactive distillation is one of the most attractive reactive separations, combining chemical reaction with the separation of chemicals, leading to new processes providing higher economy. This work investigates the sustainability of those process systems, which incorporate reactive distillation, through the use of Life Cycle Thinking via Life Cycle Assessment. Moreover we use economic and environmental metrics. The proposed decision support strategy is exemplified in the case of the synthesis of isopropyl myristate production using a reactive distillation column and a homogenous catalyst. Description: Homenatge al prf. Pierucci Tue, 31 Jan 2012 12:51:00 GMT http://hdl.handle.net/2117/14886 2012-01-31T12:51:00Z Puigjaner Corbella, Lluís; Bojarski, Aarón David no Reactive distillation is one of the most attractive reactive separations, combining chemical reaction with the separation of chemicals, leading to new processes providing higher economy. This work investigates the sustainability of those process systems, which incorporate reactive distillation, through the use of Life Cycle Thinking via Life Cycle Assessment. Moreover we use economic and environmental metrics. The proposed decision support strategy is exemplified in the case of the synthesis of isopropyl myristate production using a reactive distillation column and a homogenous catalyst. http://hdl.handle.net/2117/14736 Title: Scheduling and control decision-making under an integrated information environment Authors: Muñoz Mata, Edrisi; Capón García, Elisabet; Moreno Benito, Marta; Espuña Camarasa, Antonio; Puigjaner Corbella, Lluís Abstract: The complexity of decision-making in process industries and the need of highly competitive organizations require new supporting tools to coordinate and optimize the information flow among decision levels. This work presents a framework for integrating the scheduling and control decision levels by means of an ontology, which allows and coordinates the information exchange among the different modeling paradigms/conventions currently used for the enterprise-wide optimization (EWO). The scheduling of two multiproduct batch plants with increasing complexity is presented for illustrating the proposed working procedure. Mon, 23 Jan 2012 12:19:21 GMT http://hdl.handle.net/2117/14736 2012-01-23T12:19:21Z Muñoz Mata, Edrisi; Capón García, Elisabet; Moreno Benito, Marta; Espuña Camarasa, Antonio; Puigjaner Corbella, Lluís no The complexity of decision-making in process industries and the need of highly competitive organizations require new supporting tools to coordinate and optimize the information flow among decision levels. This work presents a framework for integrating the scheduling and control decision levels by means of an ontology, which allows and coordinates the information exchange among the different modeling paradigms/conventions currently used for the enterprise-wide optimization (EWO). The scheduling of two multiproduct batch plants with increasing complexity is presented for illustrating the proposed working procedure.