The use of environmental and nutritional factors to optimize fermentation conditions, are important for application of bioprocesses. To optimize these processes using conventional techniques, for example the one factor at a time method, is time consuming and laborious. Statistical design of experiments has become popular for medium optimization in industries since this allows the investigator to assess more than one factor at a time. This method is a time saving and effective method for screening significant factors of a multivariable system. This book reviews the latest research on statistical optimization of total biogas produced by Clostridium beijerinkii and Clostridium paraputrificum utilizing N-acetylglucosamine. Individual chapters cover different stages in the optimization design. The Plackett and burman screening design was used to identify significant medium constituents. The information gathered from each stage of the optimization process was used for the next stage of optimization. In addition to presenting recent research in this area, this book also contains important discussions on the potential benefits of using statistical optimisation designs.
The use of environmental and nutritional factors to optimize fermentation conditions, are important for application of bioprocesses. To optimize these processes using conventional techniques, for example the one factor at a time method, is time consuming and laborious. Statistical design of experiments has become popular for medium optimization in industry since this allows the investigator to assess more than one factor at a time. This method is a time saving and effective method for the screening significant factors of a multivariable system. This book reviews the latest research on statistical optimization of total biogas produced by Clostridium beijerinkii and Clostridium paraputrificum utilizing N-acetylglucosamine as the main carbon source. Individual chapters cover different stages in the optimization design. The Plackett and burman screening design was used to identify significant medium constituents. The information gathered from each stage of an optimization process was used for the next stage of optimization. In addition to presenting recent research in this area, this book also contains important discussions on the potential benefits of using statistical optimization design over the traditional one factor at a time optimization method.
The 8-volume set contains the Proceedings of the 25th ECOS 2012 International Conference, Perugia, Italy, June 26th to June 29th, 2012. ECOS is an acronym for Efficiency, Cost, Optimization and Simulation (of energy conversion systems and processes), summarizing the topics covered in ECOS: Thermodynamics, Heat and Mass Transfer, Exergy and Second Law Analysis, Process Integration and Heat Exchanger Networks, Fluid Dynamics and Power Plant Components, Fuel Cells, Simulation of Energy Conversion Systems, Renewable Energies, Thermo-Economic Analysis and Optimisation, Combustion, Chemical Reactors, Carbon Capture and Sequestration, Building/Urban/Complex Energy Systems, Water Desalination and Use of Water Resources, Energy Systems- Environmental and Sustainability Issues, System Operation/ Control/Diagnosis and Prognosis, Industrial Ecology.
A one-stop guide to the future of sustainable energy production The search for sustainable energy sources powered by renewable, non-fossil fuel resources is one of the great scientific challenges of the era. Microorganisms such as bacteria and algae have been shown to function as the basis of a microbial fuel cell, which can operate independently of an electrical power grid on the basis of renewable feed sources. These fuel cells have shown applications ranging from powering implantable biomedical devices to purifying rural water sources, and many more. Microbial Electrochemical Technologies offers a one-stop shop for researchers and developers of technologies incorporating these microbial fuel cells. Beginning with the fundamental processes involved in microbial energy production and the key components of a bioelectrochemical system (BES), it then surveys the major BES types and crucial aspects of technological development and commercialization. The result is an indispensable introduction to these vital power sources and their myriad applications. Microbial Electrochemical Technologies readers will also find: Detailed treatment of BES types including fuel cells, electrolysis and electrosynthesis cells, and more Discussion of commercialization aspects including modelling, performance analysis, and life cycle assessment An authorial team with decades of combined experience on three continents Microbial Electrochemical Technologies is a useful reference for electrochemists, microbiologists, biotechnologists, and bioengineers.
Biogas has the potential to be part of the transition towards a more sustainable energy system. Biogas is a renewable energy source and can play an important role in modern waste management systems. Biogas production can also help recirculate nutrients back to farmland. Besides all this, biogas is a locally produced energy source with the potential to increase global resource efficiency, since it can lead to more value and less waste, as well as decreased negative environmental effects. However, biogas production systems are complex, including different substrates, different applications for biogas and digestate, and different technology solutions for digestion, pre-treatment and for upgrading the raw gas. To increase the development of biogas production systems, knowledge sharing is a key factor. To increase this knowledge sharing, comprehensible analysis and comparisons of biogas production systems are necessary. Thus, studies are needed to verify the resource efficiency of biogas production systems from different perspectives. The aim of this thesis is to perform a systems analysis of biogas production systems and to explore how to analyse and compare biogas production systems. An additional aim is to study biogas production systems from a systems perspective, with a focus on environment, energy and economy. Studying biogas production systems from different system levels, as well as from different approaches, is beneficial because it results in deeper knowledge of biogas systems and greater opportunities to identify synergies. Systems studies of biogas are important, since biogas systems are often complex and integrated with other systems. In this thesis, biogas systems analyses are performed at different levels. In the widest system study, classifications of different biogas plants are analysed and classifications in different European countries are compared, with the prospect of paving the way for a new common classification for biogas plants in Europe. Today, classifications vary between countries, and hence comparisons of plants in different countries are difficult. In the narrowest system study, a new methodology for analysing energy demand at different biogas production plants has been developed. The aim was to develop a methodology that is applicable for all kinds of biogas plants with energy inputs. The methodology describes the process of analysing energy demand and allocating energy to sub-processes and unit processes. Further, an approach for assessing the resource efficiency of different treatment options for organic waste was designed. The approach includes environmental, economic and energy perspectives, and was applied to five different regions with several food manufacturing companies. A study of treatment options for organic waste from a single food company was also conducted. The results showed that biogas production is a resource-efficient way to treat waste from the food industry. The approach enables a wider analysis of biogas systems, and the results from the applications show the complexity of assessing resource efficiency. It is also shown that it is important to understand that the resource efficiency of a system is always in relation to the substituted system. In this thesis, three different approaches to analysing biogas production systems are presented: categorization, resource efficiency analysis and energy demand analysis. These approaches all contribute to the understanding of biogas systems and can help, in different ways, to increase knowledge about biogas systems in the world. If knowledge about different biogas systems can be easily disseminated, more of the unused potential of biogas production may be realized, and hence more fossil fuels can be replaced within the energy system. Biogas har potentialen att vara en del av övergången till ett mer hållbart energisystem. Biogas är en förnybar energikälla som kan spela en viktig roll i moderna avfallshanteringssystem. Produktion av biogas kan även hjälpa till att återcirkulera näringsämnen tillbaka till jordbruksmark. Förutom allt detta är biogas en lokalt producerad energikälla med potential att öka resurseffektiviteten i världen, eftersom det kan leda till ökat värde och mindre avfall samt minskade negativa miljöeffekter. Dock är biogasproduktionssystem komplexa, inklusive exempelvis olika substrat, användning för biogasen och rötresterna, olika tekniska lösningar för rötresterna såväl som förbehandling av substrat och uppgradering av rågas. För att öka utvecklingen av biogasproduktionssystem är kunskapsdelning en nyckelfaktor. För att öka kunskapsdelningen är tydliga analyser och jämförelser av biogasproduktionssystem nödvändiga. Därför behövs studier för att verifiera resurseffektiviteten för biogasproduktionssystem från olika perspektiv. Syftet med denna avhandling är att utföra systemanalyser av biogasproduktionssystem och att undersöka hur man analyserar och jämför biogasproduktionssystem. Vidare är syftet också att studera biogasproduktionssystem ur ett systemperspektiv med fokus på miljö, energi och ekonomi. Det är fördelaktigt att studera biogasproduktionssystem på olika systemnivåer och utifrån olika tillvägagångssätt, eftersom kunskapen om biogassystem fördjupas och möjligheterna att hitta synergier ökar. Systemstudier av biogas är viktigt eftersom biogassystem ofta är komplexa och integrerade i andra system. I denna avhandling utförs analyser på olika nivåer av biogassystemen. På den högsta systemnivån analyseras klassificeringar av olika biogasanläggningar. Klassificeringar i olika europeiska länder jämförs, med förhoppningen att bana väg mot en ny, gemensam klassificering för biogasanläggningar i Europa. Idag varierar klassificeringarna mellan länder och därför är jämförelser av anläggningar mellan länder svåra. På den lägsta systemnivån utvecklades en ny metod för analys av energibehov vid olika biogasproduktionsanläggningar. Syftet var att utveckla en metod för alla typer av biogasanläggningar. Metodiken beskriver processen för att analysera energibehov och fördela energin till delprocesser och enhetsprocesser. Vidare utformades en metod för att bedöma resurseffektiviteten hos olika behandlingsalternativ för organiskt avfall. Metoden inkluderar miljö, ekonomi och energi och tillämpades i fem olika regioner med flera livsmedelsindustriföretag. En studie av behandlingsalternativ för organiskt avfall från ett enda livsmedelsföretag genomfördes också. Resultaten visade att biogasproduktion är ett resurseffektivt sätt att behandla avfall från livsmedelsindustrin. Metoden möjliggör en bredare analys av biogassystem och resultaten från tillämpningarna visar komplexiteten i att utvärdera resurseffektiviteten. Det visas också att det är viktigt att förstå att ett systems resurseffektivitet alltid är i förhållande till det substituerade systemet. I denna avhandling presenteras tre olika metoder för analys av biogasproduktionssystem: kategorisering, resurseffektivitetsanalys och energibehovsanalys. Dessa tillvägagångssätt bidrar alla till att förstå biogassystem och kan på olika sätt bidra till att öka kunskapen för biogassystem i världen. Med bra system för att sprida kunskap om olika biogassystem kan mer av den outnyttjade potentialen för biogasproduktion realiseras och därmed kan fler fossila bränslen i energisystemet ersättas, samtidigt som de övriga fördelarna med biogas också kommer samhället till nytta.
The disciplines of science and engineering rely heavily on the forecasting of prospective constraints for concepts that have not yet been proven to exist, especially in areas such as artificial intelligence. Obtaining quality solutions to the problems presented becomes increasingly difficult due to the number of steps required to sift through the possible solutions, and the ability to solve such problems relies on the recognition of patterns and the categorization of data into specific sets. Predictive modeling and optimization methods allow unknown events to be categorized based on statistics and classifiers input by researchers. The Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering is a critical reference source that provides comprehensive information on the use of optimization techniques and predictive models to solve real-life engineering and science problems. Through discussions on techniques such as robust design optimization, water level prediction, and the prediction of human actions, this publication identifies solutions to developing problems and new solutions for existing problems, making this publication a valuable resource for engineers, researchers, graduate students, and other professionals.
Praise for the Third Edition: “This new third edition has been substantially rewritten and updated with new topics and material, new examples and exercises, and to more fully illustrate modern applications of RSM.” - Zentralblatt Math Featuring a substantial revision, the Fourth Edition of Response Surface Methodology: Process and Product Optimization Using Designed Experiments presents updated coverage on the underlying theory and applications of response surface methodology (RSM). Providing the assumptions and conditions necessary to successfully apply RSM in modern applications, the new edition covers classical and modern response surface designs in order to present a clear connection between the designs and analyses in RSM. With multiple revised sections with new topics and expanded coverage, Response Surface Methodology: Process and Product Optimization Using Designed Experiments, Fourth Edition includes: Many updates on topics such as optimal designs, optimization techniques, robust parameter design, methods for design evaluation, computer-generated designs, multiple response optimization, and non-normal responses Additional coverage on topics such as experiments with computer models, definitive screening designs, and data measured with error Expanded integration of examples and experiments, which present up-to-date software applications, such as JMP®, SAS, and Design-Expert®, throughout An extensive references section to help readers stay up-to-date with leading research in the field of RSM An ideal textbook for upper-undergraduate and graduate-level courses in statistics, engineering, and chemical/physical sciences, Response Surface Methodology: Process and Product Optimization Using Designed Experiments, Fourth Edition is also a useful reference for applied statisticians and engineers in disciplines such as quality, process, and chemistry.
Biomethanization of the Organic Fraction of Municipal Solid Wastes is a comprehensive introduction to both the fundamentals and the more practical aspects of the anaerobic digestion of organic solid wastes, particularly those derived from households, that is, the organic fraction of municipal solid wastes (OFMSW). It can be used as a textbook for specialized courses and also as a guide for practitioners. In the first part, the book covers the relevant aspects of anaerobic digestion (AD) of organic wastes. The fundamentals and kinetic aspects of AD are reviewed with particular emphasis on the aspects related to solid wastes. This introduction is necessary to have a comprehensive view of the AD process and to understand the practical principles as well as the origin of possible problems arising from the management of the process. Chapter 2 emphasizes the role of kinetics in designing the reactor, paying special attention to existing models, particularly the dynamic ones. Through this introduction, it is intended to facilitate the technology transfer from laboratory or pilot plant experiences to full-scale process, in order to implement improvements in current digesters. Laboratory methods are described for the analysis and optimization of reactor performance, such as methanogenic activity tests or experimental evaluation of the biodegradation kinetics of solid organic waste. The different reaction patterns applied to industrial reactors are outlined. Industrial reactors are classified in accordance with the system they use, pointing out advantages and limitations. Co-digestion, enabling the co-treatment of organic wastes of different origin in a more economically feasible way, is described in detail. Examples of co-digestion are given, with OFMSW as a base-substrate. Finally, full-scale co-digestion plants are discussed. Various types (mechanical, biological, physico-chemical) of pre-treatment to increase the biodegradability, and thus the yields of the process, are reviewed in detail. The use of the fermentation products of anaerobic digesters for biological nutrient removal processes in wastewater treatment plants is described. This constitutes an example of integrated waste management, a field in which both economic and technical advances can be achieved. Balances are given to justify the approach, and a full-scale case study is presented. The important topic of economics and the ecological advantages of the process are emphasized. The use of compost, the integration with composting technology, and advantages over other technologies are detailed in the framework of an environmental impact assessment of biowaste treatment. Finally, the anaerobic digestion of MSW in landfills is reviewed in detail, with emphasis on landfill process enhancement and strategies for its application.
