This page has only limited features, please log in for full access.

Prof. Dr. Luis Puigjaner
Universitat Politécnica de Catalunya (UPC)

Basic Info


Research Keywords & Expertise

0 Logistics Design
0 Ontologies
0 Operations Management
0 Process Design
0 Process Integration

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

Professor Emeritus of Chemical Engineering, Universitat Politècnica de Catalunya (UPC). Founder, Centre for Process and Environmental Engineering (CEPIMA) UPC. Graduated with honors (first in his class of 208) B.Sc., M.Sc. (UPC 1965); Ph.D. (Polytechnic U. Madrid 1968). Holds: MSc, U. Houston (1966; Fulbright outstanding scholar achievement award); MA, U. Barcelona (1970). Director for R&D, Higher Technical School Ind. Eng. (1980-1983, UPC); Head, ChE Dept (1988-1994, UPC); Member, Higher Sci. Res. Council of Spain (C.S.I.C., 1972-). Professional experience: teaching and research: NASA-Houston; Purdue U; U California-Berkeley; U California-Davis; IBM-San Jose Res Center; Stanford U; M.I.T.; Max Planck Institute; King’s College London; U of Houston; Imperial College London; Cork Tech College; UNAM; UNICAMP; Hungarian Aca Sciences; Russian Aca. Sciences. Guest lecturer (Laudatio), Technishe Universität Dortmund (2012). Member of 32 scientific organizations. National delegate, WP-CAPE of EFCE. Member, Executive Committee of Industry, Official Chamber of Commerce, Industry and Navigation, Barcelona. Chaired over 100 sessions at national and international meetings. Supervised 53 PhD Thesis and 79 MSc students, published over 500 papers in scientific journals & conference proceedings, author of over 200 technical reports and editor/co-editor of 10 books. He serves/has served in several Editorial Boards. European Commission Expert in s

Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 30 March 2021 in Processes
Reads 0
Downloads 0

Process, manufacturing, and service industries currently face a large number of non-trivial challenges ranging from product conception, going through design, development, commercialization, and delivering in a customized market’s environment. Thus, industries can benefit by integrating new technologies in their day-by-day tasks gaining profitability. This work presents a model for enterprise process development activities called the wide intelligent management architecture model to integrate new technologies for services, processes, and manufacturing companies who strive to find the most efficient way towards enterprise and process intelligence. The model comprises and structures three critical systems: process system, knowledge system, and transactional system. As a result, analytical tools belonging to process activities and transactional data system are guided by a systematic development framework consolidated with formal knowledge models. Thus, the model improves the interaction among processes lifecycle, analytical models, transactional system, and knowledge. Finally, a case study is presented where an acrylic fiber production plant applies the proposed model, demonstrating how the three models described in the methodology work together to reach the desired technology application life cycle assessment systematically. Results allow us to conclude that the interaction between the semantics of formal knowledge models and the processes-transactional system development framework facilitates and simplifies new technology implementation along with enterprise development activities.

ACS Style

Edrisi Muñoz; Elisabet Capon-Garcia; Enrique Muñoz; Luis Puigjaner. A Systematic Model for Process Development Activities to Support Process Intelligence. Processes 2021, 9, 600 .

AMA Style

Edrisi Muñoz, Elisabet Capon-Garcia, Enrique Muñoz, Luis Puigjaner. A Systematic Model for Process Development Activities to Support Process Intelligence. Processes. 2021; 9 (4):600.

Chicago/Turabian Style

Edrisi Muñoz; Elisabet Capon-Garcia; Enrique Muñoz; Luis Puigjaner. 2021. "A Systematic Model for Process Development Activities to Support Process Intelligence." Processes 9, no. 4: 600.

Journal article
Published: 09 September 2020 in Resources, Conservation and Recycling
Reads 0
Downloads 0

Processes for recycling or reusing material resources have naturally appeared along with the history of technology development when need, resource scarcity, opportunities, and enabling technologies have combined conveniently with insight, intuition, and fortune. The current pressure for saving resources by efficiently integrating production and consumption processes requires the development of systematic approaches exploring opportunities and determining the best alternatives. While recent research has addressed the problem of directly connecting sources and sinks, we turn our attention to doing so with improved efficiency and at a lower cost. This work addresses the event of a systematic framework for the synthesis and optimization of the industrial process networks required by an economic system aimed at adding value to waste and minimizing the continuous need for non-renewable resources from a circular economy perspective. The systematic framework presented relies upon a novel model formulated as a superstructure that includes the transformation technologies needed for the revaluation of waste, which, in turn, raises resource-sharing opportunities otherwise ignored. The model is flexible enough to address primary uncertainty sources and manage different objectives (e.g., economic and environmental. A case study on hydrocarbons recovery from waste plastic illustrates the capabilities of the model, which proves to be a useful tool for the identification of the most promising routes for waste transformation and the less efficient processes where substantial improvement is required to increase their competitive edge. The methodology is valuable for the multiple actors involving the waste revaluation sector, from private companies to policymakers.

ACS Style

Ana Somoza-Tornos; Carlos Pozo; Moisès Graells; Antonio Espuña; Luis Puigjaner. Process screening framework for the synthesis of process networks from a circular economy perspective. Resources, Conservation and Recycling 2020, 164, 105147 .

AMA Style

Ana Somoza-Tornos, Carlos Pozo, Moisès Graells, Antonio Espuña, Luis Puigjaner. Process screening framework for the synthesis of process networks from a circular economy perspective. Resources, Conservation and Recycling. 2020; 164 ():105147.

Chicago/Turabian Style

Ana Somoza-Tornos; Carlos Pozo; Moisès Graells; Antonio Espuña; Luis Puigjaner. 2020. "Process screening framework for the synthesis of process networks from a circular economy perspective." Resources, Conservation and Recycling 164, no. : 105147.

Original research article
Published: 16 April 2019 in Frontiers in Energy Research
Reads 0
Downloads 0

Recently, some applications of Process Systems Engineering to physiology and clinical medicine make use of compartmental analysis to represent transport of material in biological processes. One of the first steps of this analysis is to generate a set of plausible models that describe the system under study. In a previous work, we have proposed an optimization framework to support this task using a superstructure approach which inherently considers the different feasible flows between any pair of compartments. In this work, we extend such a framework to a bi-objective optimization that allows evaluating the trade-off between model fitness and complexity. To discriminate among the different models in the Pareto frontier, we employ a Bayesian metric which is approximated using a Markov Chain Monte Carlo sampling. We present a case study related to an immuno-oncology agent pharmacokinetics to demonstrate the advantages and limitations of the proposed approach.

ACS Style

José M. Laínez-Aguirre; Luis Puigjaner. A Combined Bi-objective Optimization and Bayesian Framework to Postulate Pharmacometric Compartmental Models. Frontiers in Energy Research 2019, 7, 1 .

AMA Style

José M. Laínez-Aguirre, Luis Puigjaner. A Combined Bi-objective Optimization and Bayesian Framework to Postulate Pharmacometric Compartmental Models. Frontiers in Energy Research. 2019; 7 ():1.

Chicago/Turabian Style

José M. Laínez-Aguirre; Luis Puigjaner. 2019. "A Combined Bi-objective Optimization and Bayesian Framework to Postulate Pharmacometric Compartmental Models." Frontiers in Energy Research 7, no. : 1.

Chapter
Published: 02 October 2018 in Solving Large-Scale Production Scheduling and Planning in the Process Industries
Reads 0
Downloads 0

Now, in Chap. 6, a general mathematical programming approach is presented for the resource-constrained production problem in semicontinuous processes. This work has been motivated by a challenging problem in food processing industries related to yogurt production lines (KRI-KRI dairy industry, Greece), where labor (i.e., the number of available workers) constitutes the limited resource constraint. The proposed mathematical approach can also cope with unexpected events such as workers absence, and products orders modifications.

ACS Style

Georgios M. Kopanos; Luis Puigjaner. Resource-Constrained Production Planning and Scheduling in Multistage Semicontinuous Process Industries. Solving Large-Scale Production Scheduling and Planning in the Process Industries 2018, 115 -139.

AMA Style

Georgios M. Kopanos, Luis Puigjaner. Resource-Constrained Production Planning and Scheduling in Multistage Semicontinuous Process Industries. Solving Large-Scale Production Scheduling and Planning in the Process Industries. 2018; ():115-139.

Chicago/Turabian Style

Georgios M. Kopanos; Luis Puigjaner. 2018. "Resource-Constrained Production Planning and Scheduling in Multistage Semicontinuous Process Industries." Solving Large-Scale Production Scheduling and Planning in the Process Industries , no. : 115-139.

Chapter
Published: 02 October 2018 in Solving Large-Scale Production Scheduling and Planning in the Process Industries
Reads 0
Downloads 0

This book pursues an appropriate response to nowadays changing economic and political conditions, where global companies face a continuous challenge to constantly reevaluate and optimally configure the operations of their Supply Chain (SC) for achieving key performance indices such as profitability, cost reduction, and customer service. Companies seek to optimize their global SCs in response to competitive pressures or to acquire advantage of new flexibility in the restrictions on world trade. Process industries also follow this trend. The process systems engineering community has been aware of this change and, today, is playing a key role in expanding the system boundaries from chemical process systems to business process systems. The global optimization of an SC network is an extremely complex task. For this reason, SC decisions are typically divided into three decision levels: the operational (scheduling), the tactical (planning), and the strategic (design). The general structure of this book has been devised bearing in mind the different types of production processes in the process industry sector.

ACS Style

Georgios M. Kopanos; Luis Puigjaner. Conclusions and Outlook. Solving Large-Scale Production Scheduling and Planning in the Process Industries 2018, 247 -252.

AMA Style

Georgios M. Kopanos, Luis Puigjaner. Conclusions and Outlook. Solving Large-Scale Production Scheduling and Planning in the Process Industries. 2018; ():247-252.

Chicago/Turabian Style

Georgios M. Kopanos; Luis Puigjaner. 2018. "Conclusions and Outlook." Solving Large-Scale Production Scheduling and Planning in the Process Industries , no. : 247-252.

Chapter
Published: 02 October 2018 in Solving Large-Scale Production Scheduling and Planning in the Process Industries
Reads 0
Downloads 0

In Chap. 4, a novel mathematical approach to the simultaneous production planning and scheduling of continuous parallel units producing a large number of final products that can be classified into product families is developed. This problem appears in many stages of operation in the process industries, including packing in batch and continuous production facilities. Thus, it is quite important since it arises in a number of different production environments (e.g., food and beverage industry, consumer packed goods). The proposed approach has been used to solve a complex real-world problem in the continuous bottling stage of the Cervecería Cuauhtémoc Moctezuma beer production facility, located in Mexico.

ACS Style

Georgios M. Kopanos; Luis Puigjaner. Production Planning and Scheduling of Parallel Continuous Processes. Solving Large-Scale Production Scheduling and Planning in the Process Industries 2018, 73 -94.

AMA Style

Georgios M. Kopanos, Luis Puigjaner. Production Planning and Scheduling of Parallel Continuous Processes. Solving Large-Scale Production Scheduling and Planning in the Process Industries. 2018; ():73-94.

Chicago/Turabian Style

Georgios M. Kopanos; Luis Puigjaner. 2018. "Production Planning and Scheduling of Parallel Continuous Processes." Solving Large-Scale Production Scheduling and Planning in the Process Industries , no. : 73-94.

Chapter
Published: 02 October 2018 in Solving Large-Scale Production Scheduling and Planning in the Process Industries
Reads 0
Downloads 0

Nowadays, due to the rapidly changing economic and political conditions, global companies face a continuous challenge to constantly re-evaluate and optimally configure the operations of their Supply Chain (SC) for achieving key performance indices, such as profitability, cost reduction and customer service. Companies seek to optimize their global SCs in response to competitive pressures or to acquire advantage of new flexibility in the restrictions on world trade. Process industries also follow the same trend. The process systems engineering community has been aware of this change and, today, is playing a key role in expanding the system boundaries from chemical process systems to business process systems. The global optimization of a SC network is an extremely complex task. For this reason, SC decisions are typically divided into three decision levels: the operational (scheduling), the tactical (planning), and the strategic (design).

ACS Style

Georgios M. Kopanos; Luis Puigjaner. Introduction. Solving Large-Scale Production Scheduling and Planning in the Process Industries 2018, 3 -8.

AMA Style

Georgios M. Kopanos, Luis Puigjaner. Introduction. Solving Large-Scale Production Scheduling and Planning in the Process Industries. 2018; ():3-8.

Chicago/Turabian Style

Georgios M. Kopanos; Luis Puigjaner. 2018. "Introduction." Solving Large-Scale Production Scheduling and Planning in the Process Industries , no. : 3-8.

Chapter
Published: 02 October 2018 in Solving Large-Scale Production Scheduling and Planning in the Process Industries
Reads 0
Downloads 0

Part IV deals with scheduling in batch processes. Chapter 8 presents an efficient systematic iterative solution strategy, based on mathematical programming, for the efficient solution of real-world scheduling problems in multiproduct, multistage batch plants. The proposed strategy consists of a constructive step, wherein a feasible and initial solution is rapidly generated by following an iterative insertion procedure, and an improvement step, wherein the initial solution is systematically enhanced by implementing iteratively several rescheduling techniques based on the mathematical model. A salient feature of the proposed approach is that the scheduler can maintain the number of decisions at a reasonable level thus reducing appropriately the search space. This usually results in manageable model sizes that often guarantee a more stable and predictable optimization model behavior. Several challenging large-scale problem instances, considering alternative optimization goals, of a pharmaceuticals production facility (case study provided by ABB Corporate, Germany) have been solved.

ACS Style

Georgios M. Kopanos; Luis Puigjaner. Production Scheduling in Large-Scale Multistage Batch Process Industries. Solving Large-Scale Production Scheduling and Planning in the Process Industries 2018, 169 -188.

AMA Style

Georgios M. Kopanos, Luis Puigjaner. Production Scheduling in Large-Scale Multistage Batch Process Industries. Solving Large-Scale Production Scheduling and Planning in the Process Industries. 2018; ():169-188.

Chicago/Turabian Style

Georgios M. Kopanos; Luis Puigjaner. 2018. "Production Scheduling in Large-Scale Multistage Batch Process Industries." Solving Large-Scale Production Scheduling and Planning in the Process Industries , no. : 169-188.

Chapter
Published: 02 October 2018 in Solving Large-Scale Production Scheduling and Planning in the Process Industries
Reads 0
Downloads 0

Part III focuses on food process industries that combine batch and continuous operation modes in their overall production plant. In Chap. 5, a mixed integer programming framework and a solution strategy are presented for the optimal production scheduling of multiproduct multistage semicontinuous process industries. An ice-cream production facility (UNILEVER, the Netherlands) is 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 the interaction among the different departments of the production facility. The proposed mathematical formulation is well-suited to the ice-cream production facility considered; however, it could be also used, with minor modifications, in scheduling problems arising in other semicontinuous industries with similar processing features.

ACS Style

Georgios M. Kopanos; Luis Puigjaner. Production Scheduling in Multistage Semicontinuous Process Industries. Solving Large-Scale Production Scheduling and Planning in the Process Industries 2018, 97 -113.

AMA Style

Georgios M. Kopanos, Luis Puigjaner. Production Scheduling in Multistage Semicontinuous Process Industries. Solving Large-Scale Production Scheduling and Planning in the Process Industries. 2018; ():97-113.

Chicago/Turabian Style

Georgios M. Kopanos; Luis Puigjaner. 2018. "Production Scheduling in Multistage Semicontinuous Process Industries." Solving Large-Scale Production Scheduling and Planning in the Process Industries , no. : 97-113.

Chapter
Published: 02 October 2018 in Solving Large-Scale Production Scheduling and Planning in the Process Industries
Reads 0
Downloads 0

Part V deals with the simultaneous operational planning and maintenance of the utility and production systems of a process industry. In this chapter, a general optimization framework is presented with the main purpose of reducing the energy needs and material resources utilization of the overall system. The proposed mathematical model focuses mainly on the utility system and considers for the utility units: (i) unit commitment constraints, (ii) performance degradation and recovery, (iii) different types of cleaning tasks (online or offline, and fixed or flexible time window), (iv) alternative options for cleaning tasks in terms of associated durations, cleaning resources requirements and costs, and (v) constrained availability of resources for cleaning operations. The optimization function includes the operating costs for utility and production systems, cleaning costs for utility systems, and energy consumption costs. Several industrial-inspired case studies are presented in order to highlight the applicability and the significant benefits of the proposed approach. In particular, in comparison with the traditional sequential planning approach for production and utility systems, the proposed integrated approach can achieve considerable reductions in startup/shutdown and cleaning costs, and most importantly in utilities purchases, as it is shown in one of the case studies.

ACS Style

Georgios M. Kopanos; Luis Puigjaner. Integrated Operational and Maintenance Planning of Production and Utility Systems. Solving Large-Scale Production Scheduling and Planning in the Process Industries 2018, 191 -244.

AMA Style

Georgios M. Kopanos, Luis Puigjaner. Integrated Operational and Maintenance Planning of Production and Utility Systems. Solving Large-Scale Production Scheduling and Planning in the Process Industries. 2018; ():191-244.

Chicago/Turabian Style

Georgios M. Kopanos; Luis Puigjaner. 2018. "Integrated Operational and Maintenance Planning of Production and Utility Systems." Solving Large-Scale Production Scheduling and Planning in the Process Industries , no. : 191-244.

Chapter
Published: 02 October 2018 in Solving Large-Scale Production Scheduling and Planning in the Process Industries
Reads 0
Downloads 0

In this chapter, the background of the methods and tools used in the development and implementation of the different mathematical models and solution approaches devised in this book is described. Mathematical programming constitutes the main optimization approach for dealing with the several industrial case studies considered. First, some general principles of mathematical programming are discussed. Afterwards, some theoretical concepts and solution techniques for linear and mixed integer programming problems are briefly presented. Finally, a short description of the commercial tools utilized to solve the problems under study is given.

ACS Style

Georgios M. Kopanos; Luis Puigjaner. Methods and Tools. Solving Large-Scale Production Scheduling and Planning in the Process Industries 2018, 57 -70.

AMA Style

Georgios M. Kopanos, Luis Puigjaner. Methods and Tools. Solving Large-Scale Production Scheduling and Planning in the Process Industries. 2018; ():57-70.

Chicago/Turabian Style

Georgios M. Kopanos; Luis Puigjaner. 2018. "Methods and Tools." Solving Large-Scale Production Scheduling and Planning in the Process Industries , no. : 57-70.

Chapter
Published: 02 October 2018 in Solving Large-Scale Production Scheduling and Planning in the Process Industries
Reads 0
Downloads 0

This last Chapter of Part III presents the simultaneous production and logistics operations planning in large-scale single- or multisite semicontinuous process industries. A new mixed discrete/continuous-time mixed integer programming model for the problem under consideration has been developed. 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. Moreover, alternative transportation modes are considered for the delivery of final products from production sites to distribution centers. The proposed approach has been used to solve two industrial-inspired case studies, for an emerging real-life dairy industry.

ACS Style

Georgios M. Kopanos; Luis Puigjaner. Simultaneous Optimization of Production and Logistics Operations in Semicontinuous Process Industries. Solving Large-Scale Production Scheduling and Planning in the Process Industries 2018, 141 -166.

AMA Style

Georgios M. Kopanos, Luis Puigjaner. Simultaneous Optimization of Production and Logistics Operations in Semicontinuous Process Industries. Solving Large-Scale Production Scheduling and Planning in the Process Industries. 2018; ():141-166.

Chicago/Turabian Style

Georgios M. Kopanos; Luis Puigjaner. 2018. "Simultaneous Optimization of Production and Logistics Operations in Semicontinuous Process Industries." Solving Large-Scale Production Scheduling and Planning in the Process Industries , no. : 141-166.

Chapter
Published: 02 October 2018 in Solving Large-Scale Production Scheduling and Planning in the Process Industries
Reads 0
Downloads 0

Part I, in addition to an introductory chapter, presents in chapter 2, a state-of-the-art review of production processes types, optimization methods currently exploited, the challenging uncertainty sources and handling frontier methods currently used, which finally allow identifying trends and challenges posed today by the process industry in general, and food industry in particular. Examples of real industrial applications encountered, operating in continuous, semicontinuous and batch mode, are examined and that will be the subject of study and optimization in following chapters. Towards this end, in the subsequent chapter, the methods and tools used throughout this book are briefly outlined.

ACS Style

Georgios M. Kopanos; Luis Puigjaner. State of the Art. Solving Large-Scale Production Scheduling and Planning in the Process Industries 2018, 9 -55.

AMA Style

Georgios M. Kopanos, Luis Puigjaner. State of the Art. Solving Large-Scale Production Scheduling and Planning in the Process Industries. 2018; ():9-55.

Chicago/Turabian Style

Georgios M. Kopanos; Luis Puigjaner. 2018. "State of the Art." Solving Large-Scale Production Scheduling and Planning in the Process Industries , no. : 9-55.

Research article
Published: 23 July 2018 in ACS Sustainable Chemistry & Engineering
Reads 0
Downloads 0

Effective integration of environmental issues and process decisions is crucial for enhanced enterprise operation from an environmental perspective. In this sense, environmental assessment involves the transaction of large amount of data and information. Hence, tools for improving information sharing and communication have proved to be highly promising to support the integration of environmental assessment within industrial decision-making. This work aims to automate the creation of the life cycle inventory (LCI) of production processes and products based on their recipe information. A framework based on a knowledge model of the process and environmental domains relying on ISA-S88 standard for recipe representation has been developed. As a result, the environmental assessment can be directly derived, and so the environmental indicators are available to the decision maker, thus reducing the data collection and processing efforts. The framework is applied to a case study, namely an acrylic fiber production process, which comprises 14 production steps and over 11 different production resources. The framework stands for an enterprise decision-making support tool, which recognizes the different environmental elements associated with production recipes, facilitating environmental assessment of production processes.

ACS Style

Edrisi Muñoz; Elisabet Capon-Garcia; Luis Puigjaner. Supervised Life-Cycle Assessment Using Automated Process Inventory Based on Process Recipes. ACS Sustainable Chemistry & Engineering 2018, 6, 11246 -11254.

AMA Style

Edrisi Muñoz, Elisabet Capon-Garcia, Luis Puigjaner. Supervised Life-Cycle Assessment Using Automated Process Inventory Based on Process Recipes. ACS Sustainable Chemistry & Engineering. 2018; 6 (9):11246-11254.

Chicago/Turabian Style

Edrisi Muñoz; Elisabet Capon-Garcia; Luis Puigjaner. 2018. "Supervised Life-Cycle Assessment Using Automated Process Inventory Based on Process Recipes." ACS Sustainable Chemistry & Engineering 6, no. 9: 11246-11254.

Journal article
Published: 01 March 2018 in Chemical Engineering Research and Design
Reads 0
Downloads 0

Process sustainability is one of the major concerns in the process systems engineering area. Addressing this concept inevitably requires a multi-objective analysis to evaluate the social and environmental impacts in addition to the usual economic performance objective. Furthermore, the final sustainability of the proposed solutions very often depends on uncertain conditions, especially in the very frequent case that renewable resources are considered in order to enhance environmental sustainability: these resources are usually affected by unpredictable variations in their quality/quantity availability. But the approaches presented for solving multi-objective problems under uncertainty are limited by the amount of scenarios required to represent the unknown conditions. Here it is presented a solution strategy that combines a scenario reduction algorithm within the framework of a multi-objective formulation. Such a strategy is able to produce a fast and robust multi-objective optimization (MOO) while considering uncertainty in the raw material conditions (more precisely quality and availability). The solutions forming the resulting set of Pareto solutions are sorted hierarchically using the Elimination and Choice Expressing Reality IV (ELECTRE IV) method, which identifies the ones showing better overall performance considering the uncertain parameters space.

ACS Style

Sergio Medina-González; Antonio Espuña; Luis Puigjaner. An efficient uncertainty representation for the design of sustainable energy generation systems. Chemical Engineering Research and Design 2018, 131, 144 -159.

AMA Style

Sergio Medina-González, Antonio Espuña, Luis Puigjaner. An efficient uncertainty representation for the design of sustainable energy generation systems. Chemical Engineering Research and Design. 2018; 131 ():144-159.

Chicago/Turabian Style

Sergio Medina-González; Antonio Espuña; Luis Puigjaner. 2018. "An efficient uncertainty representation for the design of sustainable energy generation systems." Chemical Engineering Research and Design 131, no. : 144-159.

Book chapter
Published: 09 November 2017 in Computer Aided Chemical Engineering
Reads 0
Downloads 0

In this work, an optimisation model for the optimal design and planning of energy supply chain is presented. The model intends to fulfil specific demands of electricity and methanol under a stipulated CO2 emissions reduction. The electricity supplied to the methanol plant is produced by the co-combustion of biomass (renewable). We consider that incorporating CO2 capture technologies causes a reduction in the efficiency of cocombustion plants. Different scenarios are investigated to evaluate the conditions under which this type of projects may become financially feasible. A case study based on the Spanish energy grid is utilised for this exercise.

ACS Style

Mar Pérez-Fortes; José Miguel Lainez-Aguirre; Luis Puigjaner. Optimal bio-based supply chain with carbon capture and use: An economic and environmental approach. Computer Aided Chemical Engineering 2017, 40, 2665 -2670.

AMA Style

Mar Pérez-Fortes, José Miguel Lainez-Aguirre, Luis Puigjaner. Optimal bio-based supply chain with carbon capture and use: An economic and environmental approach. Computer Aided Chemical Engineering. 2017; 40 ():2665-2670.

Chicago/Turabian Style

Mar Pérez-Fortes; José Miguel Lainez-Aguirre; Luis Puigjaner. 2017. "Optimal bio-based supply chain with carbon capture and use: An economic and environmental approach." Computer Aided Chemical Engineering 40, no. : 2665-2670.

Editorial
Published: 09 November 2017 in Computer Aided Chemical Engineering
Reads 0
Downloads 0
ACS Style

Antonio Espuña; Moisès Graells; Luis Puigjaner. Preface. Computer Aided Chemical Engineering 2017, 40, 1 .

AMA Style

Antonio Espuña, Moisès Graells, Luis Puigjaner. Preface. Computer Aided Chemical Engineering. 2017; 40 ():1.

Chicago/Turabian Style

Antonio Espuña; Moisès Graells; Luis Puigjaner. 2017. "Preface." Computer Aided Chemical Engineering 40, no. : 1.

Journal article
Published: 11 March 2017 in Energy Conversion and Management
Reads 0
Downloads 0

Sustainable processes have recently awaked an increasing interest in the process systems engineering literature. In industry, this kind of problems inevitably required a multi-objective analysis to evaluate the environmental impact in addition to the economic performance. Bio-based processes have the potential to enhance the sustainability level of the energy sector. Nevertheless, such processes very often show variable conditions and present an uncertain behavior. The approaches presented for solving multi-objective problems under uncertainty have neglected the potential effects of different quality streams on the overall system. Here, it is presented an alternative approach, based on a State Task Network formulation, capable of optimizing under uncertain conditions, considering multiple selection criteria and accounting for the material quality effect. The resulting set of Pareto solutions are then assessed using the Elimination and Choice Expressing Reality-IV method, which identify the ones showing better overall performance considering the uncertain parameters space.

ACS Style

Sergio Medina-González; Moisès Graells; Gonzalo Guillén-Gosálbez; Antonio Espuña; Luis Puigjaner. Systematic approach for the design of sustainable supply chains under quality uncertainty. Energy Conversion and Management 2017, 149, 722 -737.

AMA Style

Sergio Medina-González, Moisès Graells, Gonzalo Guillén-Gosálbez, Antonio Espuña, Luis Puigjaner. Systematic approach for the design of sustainable supply chains under quality uncertainty. Energy Conversion and Management. 2017; 149 ():722-737.

Chicago/Turabian Style

Sergio Medina-González; Moisès Graells; Gonzalo Guillén-Gosálbez; Antonio Espuña; Luis Puigjaner. 2017. "Systematic approach for the design of sustainable supply chains under quality uncertainty." Energy Conversion and Management 149, no. : 722-737.

Chapter
Published: 18 October 2016 in Advances in Energy Systems Engineering
Reads 0
Downloads 0

This chapter describes the use of mathematical programming as the tool for the design of biomass-based supply chains. This tool is helpful to devise the most appropriate manner of integrating conversion and pretreatment technologies with the channels required to convert the raw biomass, available in the collection areas, into energy in the demand points. The project analysis should be carried out adopting a holistic view. The formulation described in this chapter does so by tackling the problem from a multiple objective approach which considers financial, environmental as well as social aspects. The problem is formulated as a mixed integer linear program (MILP). The insights gained by using this approach are demonstrated through three literature case studies. The first case study comprises an illustrative hydrogen supply chain, where hydrogen is synthesised from biomass and coal gasification. The second one considers regional electrification in rural areas by using gasification combined with gas engines. In this case, a social criterion is introduced. The third case study is a biomass-based supply chain designed to partially fulfil the demand of processing coal plants existing in Spain.

ACS Style

J. M. Laínez Aguirre; M. Pérez-Fortes; L. Puigjaner. Efficient Design of Biomass-Based Supply Chains: A Key Component of a Sustainable Energy System. Advances in Energy Systems Engineering 2016, 713 -747.

AMA Style

J. M. Laínez Aguirre, M. Pérez-Fortes, L. Puigjaner. Efficient Design of Biomass-Based Supply Chains: A Key Component of a Sustainable Energy System. Advances in Energy Systems Engineering. 2016; ():713-747.

Chicago/Turabian Style

J. M. Laínez Aguirre; M. Pérez-Fortes; L. Puigjaner. 2016. "Efficient Design of Biomass-Based Supply Chains: A Key Component of a Sustainable Energy System." Advances in Energy Systems Engineering , no. : 713-747.

Conference paper
Published: 09 October 2016 in Advances in Intelligent Systems and Computing
Reads 0
Downloads 0

The advancement of science in the past century gave rise to a number of revolutionary discoveries that deeply affected the way of life of our society. Here, is given a personal summary of the variety of applications evolving from a major discovery, the analytical engine, which instrumented a novel, revolutionary software engineering, enhancing the now so called Computer Aided Process Engineering in a variety of applications. The race among software-hardware has made possible fast pace in the evolution/revolution that affects all branches of science towards new discoveries with different impact and magnitude. The reader is guided on a tour through various milestones lived, whose main protagonist is an increasingly sophisticated software. Applications to a variety of systems, like telecommunications, biology, chemical engineering, mechanics, mining, etc. are revisited.

ACS Style

Luis Puigjaner. CAPE Role in Engineering Innovation: Part 1-The evolution. Advances in Intelligent Systems and Computing 2016, 537, 79 -89.

AMA Style

Luis Puigjaner. CAPE Role in Engineering Innovation: Part 1-The evolution. Advances in Intelligent Systems and Computing. 2016; 537 ():79-89.

Chicago/Turabian Style

Luis Puigjaner. 2016. "CAPE Role in Engineering Innovation: Part 1-The evolution." Advances in Intelligent Systems and Computing 537, no. : 79-89.