The Experts below are selected from a list of 570228 Experts worldwide ranked by ideXlab platform
Thore Berntsson - One of the best experts on this subject based on the ideXlab platform.
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Process Integration study of a kraft pulp mill converted to an ethanol production plant part a potential for heat Integration of thermal separation units
Applied Thermal Engineering, 2012Co-Authors: Rickard Fornell, Thore BerntssonAbstract:Energy efficiency is an important parameter for the profitability of biochemical ethanol production from lignocellulosic raw material. The yield of ethanol is generally low due to the limited amount of fermentable compounds in the raw material. Increasing energy efficiency leads to possibilities of exporting more by-products, which in turn might reduce the net production cost of ethanol. Energy efficiency is also an important issue when discussing the repurposing of kraft pulp mills to biorefineries, since the mills in question most likely will be old and inefficient. Investing in energy efficiency measures might therefore have a large effect on the economic performance. This paper discusses energy efficiency issues related to the repurposing of a kraft pulp mill into a lignocellulosic ethanol production plant. The studied Process is a typical Scandinavian kraft pulp mill that has been converted to a biorefinery with ethanol as main product. A Process Integration study, using pinch analysis and Process simulations, has been performed in order to assess alternative measures for improving the energy efficiency. The improvements found have also been related to the possibilities for by-product sales from the plant (electricity and/or lignin). In a forthcoming paper, which is the second part of this Process Integration study, an economic analysis based on the results from this paper will be presented.
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efficient energy use in a slaughter and meat Processing plant opportunities for Process Integration
Journal of Food Engineering, 2006Co-Authors: Anna Fritzson, Thore BerntssonAbstract:In this paper, Process Integration methods are used to investigate the potential to decrease the energy usage in the slaughtering and meat Processing industry. Above ambient temperatures, heating of water with different target temperatures is a large heat demand in a plant, while at subambient temperatures the refrigeration plant needs almost all of the shaftwork used at the site. Interaction between, on one hand, energy demands above ambient temperature and, on the other, cooling needs below ambient temperature can take place with freezing compressors or heat pumps. By using Process Integration methods above and below ambient temperatures, potentials for saving both shaftwork and external heat demand in food plants can be identified. A case study at a modern plant illustrates that even though many energy-saving measures have been taken there is still a technical potential for saving 30% of the external heat demand and more than 10% of the shaftwork used in the plant. The economic potential for the savings is dependent on the conditions at the plant.
Jiří Jaromír Klemeš - One of the best experts on this subject based on the ideXlab platform.
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special section Process Integration modelling and optimisation for energy saving and pollution reduction pres 2014
Energy, 2015Co-Authors: Petar Sabev Varbanov, Jiří Jaromír Klemeš, Flavio Manenti, Henrik LundAbstract:This Special Issue contains a selected set of articles developed from initial ideas related to the 17th Conference Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction (PRES'14) held in Prague, Czech Republic, during 23–27 August 2014 Prague, Czech Republic. The conference has been held jointly with CHISA 2014, where both events have benefitted from the shared pool of presenters, listeners as well as the expanded opportunities for exchanging ideas. From all contributions presented at the conference, a selection of high-quality ones suitable for ENERGY, have been invited. Overall, 41 extended manuscripts have been submitted as candidate articles for the Special Issue. Of those, after a thorough review procedure, 16 articles have been selected and evolved to be published. The topics clearly reflect the variety of the ideas and discussions, exchanged and taken place at PRES 2014. The system types and phenomena include heat exchange and recovery, power generation and use, Combined Heat and Power generation. The key issues concern waste heat recovery and valorisation, Process improvement – including Process intensification, load shifting, biomass and solar irradiation as energy sources, supply chains, emissions and CO2 capture, production planning.
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recent developments in Process Integration
Chemical Engineering Research & Design, 2013Co-Authors: Jiří Jaromír Klemeš, Petar Sabev Varbanov, Zdravko KravanjaAbstract:Abstract Process Integration supporting Process design, Integration and optimisation has been around for more than 40 years. Its development has been closely related to developing the Chemical Engineering, implementation of mathematical modelling and the application of information technology. Its development has been accelerating as the methodology has been able to provide answers and support for important issues regarding economic development—energy, water and resources better utilisation and savings. This contribution is targeted towards a short overview of recent achievements and future challenges.
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pres 2012 special section Process Integration modelling and optimisation for energy saving and pollution reduction
Energy, 2013Co-Authors: Jiří Jaromír Klemeš, Petar Sabev Varbanov, Qiuwang Wang, Henrik LundAbstract:Abstract This Special Section provides introduction to the 15th Conference Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction (PRES 2012). In this editorial introduction, the editors are highlighting the individual articles included in this issue and discussing the main points. The main areas of this issue can be summarised as: Process Integration for Energy Saving, Integrating Renewable Energy Sources and Energy Optimisation issues.
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Process Integration of hybrid power systems with energy losses considerations
Energy, 2013Co-Authors: Nor Erniza Mohammad Rozali, Jiří Jaromír Klemeš, Sharifah Rafidah Wan Alwi, Zainuddin Abdul Manan, Mohammad Yusri HassanAbstract:Abstract The application of Process Integration using the Pinch Analysis technique has been recently extended to the design of hybrid power systems to determine the maximum power recovery and the battery storage capacity. The graphical and the numerical Power Pinch Analysis (PoPA) tools provide designers with visualisation tools that are systematic and simple to implement for the optimisation of power systems. However, the power losses incurred in the systems, have so far, not been considered in detail in the previous works. This paper extends the PoPA method by considering the power losses that occur during the power system's conversion, transfer and storage. The effects of the losses on the minimum outsourced electricity targets and the storage capacity are evaluated. The Storage Cascade Table (SCT) of PoPA has been further developed to include the effect of energy losses in the system's design. Application of the developed method on a case study yields the more realistic power targets for off-grid hybrid power systems.
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Sustaining high energy efficiency in existing Processes with advanced Process Integration technology
Applied Energy, 2013Co-Authors: Nan Zhang, Robin Smith, Igor Bulatov, Jiří Jaromír KlemešAbstract:Abstract To reduce emissions in the Process industry, much emphasis has been put on making step changes in emission reduction, by developing new Process technology and making renewable energy more affordable. However, the energy saving potential of existing systems cannot be simply ignored. In recent years, there have been significant advances in Process Integration technology with better modelling techniques and more advanced solution methods. These methods have been applied to the new design and retrofit studies in the Process industry. Here attempts are made to apply these technologies to improve the environmental performance of existing facilities with operational changes. An industrial project was carried out to demonstrate the importance and effectiveness of exploiting the operational flexibility for energy conservation. By applying advanced optimisation technique to integrate the operation of distillation and heat recovery in a crude oil distillation unit, the energy consumption was reduced by 8% without capital expenditure. It shows that with correctly identified technology and the proper execution procedure, significant energy savings and emission reduction can be achieved very quickly without major capital expenditure. This allows the industry to improve its economic and environment performance at the same time.
Francois Marechal - One of the best experts on this subject based on the ideXlab platform.
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energy Integration study on a hybrid electric vehicle energy system using Process Integration techniques
Applied Thermal Engineering, 2015Co-Authors: Zlatina Dimitrova, Francois MarechalAbstract:The needs of efficiency improvement of the vehicle energy systems require to find innovative solutions during the design Process, integrating all vehicle services and energy requirement on a vehicle system level. In this article the boundary of the energy system are extended to the powertrain and the cabin and the requirements for mobility and comfort are integrated. The energy balance of the internal combustion engine is done and discussed, according to its operating points. The energy requirement for comfort in the cabin is also determined, according to the seasonal requirement for heating or cooling. In this article an energy Integration methodology, using Process Integration techniques is discussed and applied on the extended vehicle energy system. The minimal energy requirement is determined for different mobility and comfort situations. The energy recovery potential of an organic Rankine cycle, with sensitivity of different working fluids, is assessed. The energy Integration methodology is applied on a hybrid electric vehicle energy system, and is studied for adapted dynamic profile, represented by characteristic clustered operating points. Multi-objective optimization is applied to define the optimal design of a hybrid electric powertrain and the optimal ICE size, from efficiency and cost point of view.
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site scale Process Integration and utility optimization with multi level energy requirement definition
Energy Conversion and Management, 2014Co-Authors: Nasibeh Pouransari, Gerald Bocquenet, Francois MarechalAbstract:Abstract This study presents a methodology based on Process Integration techniques to improve the energy efficiency of a large-scale chemical plant. The key to the approach is to represent the energy requirements with different heat transfer interfaces. Considering difficulties of data extraction for a large-scale plant, a multi-level data extraction scheme is introduced based on different heat transfer interfaces and includes five levels of growing complexity: black-box, grey-box, white-box, simple-model and detailed-model analysis. A combination of these levels instead of a single definition for the energy requirement has been applied on an industrial case study. Different steps of the approach are explained in detail and their potential are highlighted. The Single Process Integration (SPI) and Total Site Integration (TSI) has been performed and revealed that a higher potential of heat recovery could be driven through the TSI. The optimized site utility Integration together with heat recovery improvement scenarios have considerably increased the energy saving potential in our case study. A multi-objective optimization has also been performed to find the optimum combination of units with different energy requirement levels. In conclusion, results from our case study have indicated that using a combination of different energy requirement levels will reduce the required modification of the actual site configuration.
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increasing efficiency of fuel ethanol production from lignocellulosic biomass by Process Integration
Energy & Fuels, 2013Co-Authors: Martin Gassner, Francois MarechalAbstract:The conversion of lignocellulosic biomass to ethanol is currently one of the most popular options for sustainable production of transportation fuel from renewable resources. Due to the resistance of lignin compounds to biological degradation and the important heat requirements for distillation, conventional Process designs for the combined production of ethanol and power are yet limited to a modest total energy efficiency of 50% to 55%. This paper investigates how to overcome this limitation by thermochemically converting the residues in order to increase the total energy yield by a combined generation of several fuels and power. Comparing a conventional design with different technological alternatives for thermochemical Processing and heat and power recovery, the paper shows that the fuel yield can be more than doubled to reach total energy and exergy efficiencies of up 72% and 78%, respectively. From a methodological point of view, the paper demonstrates that the combination of Process Integration and exergy recovery techniques in a site-scale approach is key for tapping the full potential of the limited biogenic resources in future biorefineries.
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site scale Process Integration and utility optimization with multiple representations of heating and cooling requirements application to an existing chemical plant
The 26th International Conference on Efficiency Cost Optimization Simulation and Environmental Impact of Energy Systems, 2013Co-Authors: Nasibeh Pouransari, Gerald Bocquenet, Francois MarechalAbstract:This study presents a methodology based on the Process Integration techniques and multiple representation of heating and cooling requirement concept to improve the energy efficiency of a large-scale chemical plant. Considering the difficulties of data gathering in a large-scale plant, a multi-layer analysis including five levels of detail for defining energy requirement are introduced and the practice of applying the combination of these levels rather than a unique one is demonstrated. The methodology begins by generating the composite curve with the utility representation of the energy requirements. Based on the available level of the data, the composite curve is systematically improved by upgrading from the utility representation to the technological or thermodynamic ones. The single Process Integration (SPI) and total site Integration (TSI) is performed and indicates considerable potential of energy saving. This potential has been further improved by either Process condition modification or with the Integration of mechanical vapour recompression (MVR) and heat pump. The Suitable energy conversion units are integrated and optimized by minimizing the energy requirement cost using the mixed integer linear programing (MILP). The optimized site utility Integration increases the energy saving potential of the base-case system by 55%. A multi-objective optimization with evolutionary algorithm (EMOO) is performed to find the optimum combination of units with different representations by minimizing the operating cost and maximizing the number of utility represented units. The analysis of results shows that the effort for Process modification of actual configuration of the site as well as the number of units that requires detailed thermodynamic data analysis can be narrowed by using a combination of different representations. Application of the proposed methodology is demonstrated through an industrial case study highlighting the different steps and the potential of this approach.
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Process Integration and opportunities for heat pumps in industrial Processes
International Journal of Thermodynamics, 2011Co-Authors: Helen Becker, Francois Marechal, Aurelie VuillermozAbstract:Process Integration methods allow one optimizing industrial Processes. The main goals are decreasing energy demand and operating costs as well as reduction of pollutants emissions. High fuel costs promote installations of heat pumps. In a heat pump, Process waste heat is valorized by electrical power to produce higher quality heat. This energy is used to satisfy a part of the Process demand so that less fuel is required and CO2 emission will decrease. This paper presents a methodology, based on pinch analysis, which demonstrates the opportunity of integrating heat pumps in industrial Processes. The method considers the whole Process including utilities and the energy conversion system. A combined analysis which considers thermal and material streams in the Process is realized to optimize the heat recovery and the Integration of energy conversion units. By analogy, all water streams are listed and the potential of water recuperation is calculated. The combination of appropriate refrigeration and heat pump cycles leads to an important energy saving potential. The respective flow rates are defined by optimization. The application case of a typical dairy Process is used to calculate the energy and operating cost savings potential.
Brian Elmegaard - One of the best experts on this subject based on the ideXlab platform.
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a method for faster application of Process Integration techniques in retrofit situations
Journal of Cleaner Production, 2021Co-Authors: Riccardo Bergamini, Tuongvan Nguyen, Fabian Buhler, Lorenzo Bellemo, Brian ElmegaardAbstract:Abstract Numerous Process Integration techniques were proved to be highly effective for identifying and estimating potential energy savings in the industry. However, they require high time and effort to collect and analyse Process data. As a result, they do not constitute the common practice in the industry and opportunities for increasing the energy efficiency of industrial Processes are missed. The paper presents a method, termed the “Energy-Saving Decomposition”, which is based on Process Integration techniques. It is intended for expeditiously outlining and promoting energy efficiency in the industry. Two screening tools, based on mathematical criteria and engineering experience, are employed for reducing the problem dimension before applying conventional design procedures. The first step disregards streams based on their contribution to the overall energy-saving potential, calculated utilising a novel energy-saving decomposition technique. The most promising network is then selected based on its energy-saving potential and size. The second step reduces the problem complexity further, employing economic considerations. This novel method was exemplified by application to a dairy factory: the outcomes and the method itself were compared to conventional Pinch Analysis techniques. The results showed that the developed method can simplify and reduce the time consumption of conventional Process Integration methods significantly, while identifying the most encouraging saving opportunities. The automatic algorithm allowed for reducing the problem size from 62 Process streams of the existing plant to 22 streams requiring a computational time of only 135 s. The final retrofit design proposed was the same obtained with conventional Pinch Analysis, achieving a 23% reduction in the plant final energy consumption.
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simplification of data acquisition in Process Integration retrofit studies based on uncertainty and sensitivity analysis
Frontiers in Energy Research, 2019Co-Authors: Riccardo Bergamini, Tuongvan Nguyen, Brian ElmegaardAbstract:Process Integration methodologies proved to be effective tools in identifying energy saving opportunities in the industrial sector and suggesting actions to enable their exploitation. However, they extensively rely on large amounts of Process data, resulting in often overlooked uncertainties and a significant time-consumption. This might discourage their application, especially in non-energy intensive industries, for which the savings potential does not justify tedious and expensive analysis. Hereby a method aimed at the simplification of the data acquisition step in Process Integration retrofit analysis is presented. Four steps are employed. They are based on Monte Carlo techniques for uncertainties estimation and three methods for sensitivity analysis: Multivariate linear regression, Morris screening, and Variance decomposition-based techniques. Starting from rough Process data, it identifies: (i) non-influencing parameters, and (ii) the maximum acceptable uncertainty in the influencing ones, in order to reach reliable energy targets. The detailed data acquisition can be performed, then, on a subset of the total required parameters and with a known uncertainty requirement. The proposed method was shown to be capable of narrowing the focus of the analysis to only the most influencing data, ultimately reducing the excessive time consumption in the collection of unimportant data. A case study showed that out of 205 parameters required by acknowledged Process Integration methods, only 28 needed precise measurements in order to obtain a standard deviation on the energy targets below 15 % and 25 % of their nominal values, for the hot utility and cold utility respectively.
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simplification of data acquisition in Process Integration retrofit of a milk powder production facility
Chemical engineering transactions, 2019Co-Authors: Riccardo Bergamini, Tuongvan Nguyen, Lorenzo Bellemo, Brian ElmegaardAbstract:Process Integration techniques, such as Pinch Analysis, can be used to effectively detect energy saving opportunities in the industrial sector. However, their application is mainly limited to energy-intensive Processes, leaving a large potential untapped in the remaining industrial sectors. One factor that discourages the application of these tools is the requirement of a large amount of reliable data, which may be difficult or time-consuming to gather. This paper presents the application of a method to simplify the data acquisition step of Process Integration studies on a milk powder production facility. By employing uncertainty analysis and sensitivity analysis techniques, the solution of the factor fixing problem was shown, and a subset of parameters whose accurate estimates were essential to obtain reliable analysis results, were detected. The required data reduction was significant, as only 20 out of the 41 parameters initially considered were deemed to be important. Moreover, the maximum acceptable level of inaccuracy in the definition of these parameters in order to ensure a satisfactory uncertainty level in the analysis output was presented. The output standard deviation was reduced from the initial 47.8 % to 10.0 %, relative to the mean value.
Rickard Fornell - One of the best experts on this subject based on the ideXlab platform.
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Process Integration study of a kraft pulp mill converted to an ethanol production plant part a potential for heat Integration of thermal separation units
Applied Thermal Engineering, 2012Co-Authors: Rickard Fornell, Thore BerntssonAbstract:Energy efficiency is an important parameter for the profitability of biochemical ethanol production from lignocellulosic raw material. The yield of ethanol is generally low due to the limited amount of fermentable compounds in the raw material. Increasing energy efficiency leads to possibilities of exporting more by-products, which in turn might reduce the net production cost of ethanol. Energy efficiency is also an important issue when discussing the repurposing of kraft pulp mills to biorefineries, since the mills in question most likely will be old and inefficient. Investing in energy efficiency measures might therefore have a large effect on the economic performance. This paper discusses energy efficiency issues related to the repurposing of a kraft pulp mill into a lignocellulosic ethanol production plant. The studied Process is a typical Scandinavian kraft pulp mill that has been converted to a biorefinery with ethanol as main product. A Process Integration study, using pinch analysis and Process simulations, has been performed in order to assess alternative measures for improving the energy efficiency. The improvements found have also been related to the possibilities for by-product sales from the plant (electricity and/or lignin). In a forthcoming paper, which is the second part of this Process Integration study, an economic analysis based on the results from this paper will be presented.
