Добірка наукової літератури з теми "Optimisation MINLP"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Optimisation MINLP".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Статті в журналах з теми "Optimisation MINLP":
Epelle, Emmanuel I., and Dimitrios I. Gerogiorgis. "A computational performance comparison of MILP vs. MINLP formulations for oil production optimisation." Computers & Chemical Engineering 140 (September 2020): 106903. http://dx.doi.org/10.1016/j.compchemeng.2020.106903.
Diaby, Abdullatif Lacina, Lee Luong, Amer Yousef, and Jonas Addai Mensah. "A Review of Optimal Scheduling Cleaning of Refinery Crude Preheat Trains Subject to Fouling and Ageing." Applied Mechanics and Materials 148-149 (December 2011): 643–51. http://dx.doi.org/10.4028/www.scientific.net/amm.148-149.643.
Savola, Tuula, and Carl-Johan Fogelholm. "MINLP optimisation model for increased power production in small-scale CHP plants." Applied Thermal Engineering 27, no. 1 (January 2007): 89–99. http://dx.doi.org/10.1016/j.applthermaleng.2006.05.002.
Yusuf, Noor, and Tareq Al-Ansari. "Current and Future Role of Natural Gas Supply Chains in the Transition to a Low-Carbon Hydrogen Economy: A Comprehensive Review on Integrated Natural Gas Supply Chain Optimisation Models." Energies 16, no. 22 (November 20, 2023): 7672. http://dx.doi.org/10.3390/en16227672.
Gutierrez, G., and P. Vega. "PROCESS SYNTHESIS APPLIED TO ACTIVATED SLUDGE PROCESSES: A FRAMEWORK WITH MINLP OPTIMISATION MODELS." IFAC Proceedings Volumes 35, no. 1 (2002): 393–97. http://dx.doi.org/10.3182/20020721-6-es-1901.01458.
Savola, Tuula, Tor-Martin Tveit, and Carl-Johan Fogelholm. "A MINLP model including the pressure levels and multiperiods for CHP process optimisation." Applied Thermal Engineering 27, no. 11-12 (August 2007): 1857–67. http://dx.doi.org/10.1016/j.applthermaleng.2007.01.002.
Biscos, C., M. Mulholland, M. V. Le Lann, C. J. Brouckaert, R. Bailey, and M. Roustan. "Optimal operation of a potable water distribution network." Water Science and Technology 46, no. 9 (November 1, 2002): 155–62. http://dx.doi.org/10.2166/wst.2002.0228.
Dkhili, Nouha, David Salas, Julien Eynard, Stéphane Thil, and Stéphane Grieu. "Innovative Application of Model-Based Predictive Control for Low-Voltage Power Distribution Grids with Significant Distributed Generation." Energies 14, no. 6 (March 23, 2021): 1773. http://dx.doi.org/10.3390/en14061773.
Tanvir, M. S., and I. M. Mujtaba. "Optimisation of design and operation of MSF desalination process using MINLP technique in gPROMS." Desalination 222, no. 1-3 (March 2008): 419–30. http://dx.doi.org/10.1016/j.desal.2007.02.068.
Brusis, D., J. Stichlmair, and F. F. Kuppinger. "MINLP Optimisation of a Distillation/Pervaporation Process for the Separation of a Ternary Azeotropic Mixture." Chemie Ingenieur Technik 73, no. 6 (June 2001): 624. http://dx.doi.org/10.1002/1522-2640(200106)73:6<624::aid-cite6242222>3.0.co;2-s.
Дисертації з теми "Optimisation MINLP":
Boix, Marianne. "Optimisation multicritère de réseaux d'eau." Thesis, Toulouse, INPT, 2011. http://www.theses.fr/2011INPT0078/document.
This study presents a multiobjective optimization of industrial water networks through mathematical programming procedures. A large range of various examples are processed to propose several feasible solutions. An industrial network is composed of fixed numbers of process units and regenerations and contaminants. These units are characterized by a priori defined values: maximal inlet and outlet contaminant concentrations. The aim is both to determine which water flows circulate between units and to allocate them while several objectives are optimized. Fresh water flow-rate (F1), regenerated water flow-rate (F2),interconnexions number (F3), energy consumption (F4) and the number of heat exchangers (F5) are all minimized. This multiobjective optimization is based upon the epsilon-constraint strategy, which is developed from a lexicographic method that leads to Pareto fronts. Monocontaminant networks are addressed with a mixed linear mathematical programming (Mixed Integer Linear Programming, MILP) model, using an original formulation based on partial water flow-rates. The obtained results we obtained are in good agreement with the literature data and lead to the validation of the method. The set of potential network solutions is provided in the form of a Pareto front. An innovative strategy based on the GEC (global equivalent cost) leads to the choice of one network among these solutions and turns out to be more efficient for choosing a good network according to a practical point of view. If the industrial network deals with several contaminants, the formulation changes from MILP into MINLP (Mixed Integer Non Linear Programming). Thanks to the same strategy used for the monocontaminant problem, the networks obtained are topologically simpler than literature data and have the advantage of not involving very low flow-rates. A MILP model is performed in order to optimize heat and water networks. Among several examples, a real case of a paper mill plant is studied. This work leads to a significant improvement of previous solutions between 2 to 10% and 7 to 15% for cost and energy consumptions respectively. The methodology is then extended to the optimization of eco-industrial parks. Several configurations are studied regarding the place of regeneration units in the symbiosis. The best network is obtained when the regeneration is owned by each industry of the park and allows again of about 13% for each company. Finally, when heat is combined to water in the network of the ecopark, a gain of 11% is obtained compared to the case where the companies are considered individually
Hijazi, Hassan. "Optimisation non-linéaire mixte en nombres entiers pour la conception de réseaux en télécommunications." Thesis, Aix-Marseille 2, 2010. http://www.theses.fr/2010AIX22107/document.
In our work, we rely on the powerful arsenal of mathematical programming theory to model telecommunication problems and devise efficient methods for solving them. Our goal is to comply to real life constraints when defining optimal routing strategies and designing efficient capacity planning tools. Theoretical contributions apply the field of Mixed Integer Non-Linear Optimization. Among relevant results, let us mention :Explicit formulations of convex hulls in disjunctive programming, generalizing the famous perspective formulationsTractable compact formulations of problems featuring inerval uncertainty in Robust OptimizationAn efficient Outer-Inner approximation algorithm for solving large families of separable mixed Integer Non-Linear Programs (MINLPs) and Second Order Cone Programs (SOCPs), outperforming state-of-the-art commercial solvers.In the application part, our work aims at introducing reliable telecommunication networks, offering appropriate and guaranteed Quality of Service to all its customers. Today, Wide Access Networks (WAN), Virtual Private Networks (VPN) or IP-based Backbones carry a wide range services, namely: voice, video streaming and data traffic. Each one of these contents has its own performance requirements. Unfortunately, best effort algorithms are implemented at all levels, offering no guarantee for delay sensitive applications. Is it possible to build routing strategies guaranteeing upper bounds on source-to-destination delays? Can we make these routing protocols to delay variation ? Does service differentiation affect capacity planning decisions ? Answers to these questions will be developed in this thesis
Gugenheim, Dan. "Modélisation et optimisation d’un réseau de transport de gaz." Phd thesis, Toulouse, INPT, 2011. http://oatao.univ-toulouse.fr/11760/1/gugenheim.pdf.
Guo, Kunpeng. "Optimisation of plate/plate-fin heat exchanger design." Thesis, University of Manchester, 2015. https://www.research.manchester.ac.uk/portal/en/theses/optimisation-of-plateplatefin-heat-exchanger-design(e019a7a5-4be1-4350-b219-3387fd12f7d1).html.
Sowgath, Md Tanvir. "Neural network based hybrid modelling and MINLP based optimisation of MSF desalination process within gPROMS : development of neural network based correlations for estimating temperature elevation due to salinity, hybrid modelling and MINLP based optimisation of design and operation parameters of MSF desalination process within gPROMS." Thesis, University of Bradford, 2007. http://hdl.handle.net/10454/10998.
Marty, Fabien. "Optimisation de la structure globale des activités de surface d’une centrale géothermique à cogénération électricité/chaleur." Thesis, Pau, 2017. http://www.theses.fr/2017PAUU3021/document.
A consortium of ten partners, led by “FONROCHE Géothermie”, works on the FONGEOSEC project, an “Investissement d’Avenir” organized by the French Agency for Environment and Energy (ADEME). The aim of this project is to design and create an innovative demonstrator of a high-energy geothermal power plant. The geothermal energy will be used to produce electricity and heat. Among other tasks, this project aims to develop a support tool for the optimal design of the structure for the surface activities in the geothermal plant.Within the developed tool, the repartition between electricity and heat production is in parallel. The geothermal fluid is split in two streams, one is used for an Organic Rankine Cycle (ORC) for electricity production, and the other is connected to a District Heating Network (DHN) for the heat distribution. This tool enables to determine simultaneously:which is the best repartition between electricity and heat,which is the best sizing for ORC components,which is the best configuration for the DHN.About the ORC, the tool will enable to decide if the use of an Internal Heat Exchanger (IHE) is interesting or not. For the DHN point of view, all the consumers envisaged are not mandatory. The tool will enable to choose which consumers it is better to connect to the network and in which disposition. The use of discrete variables is necessary and the optimization problem to be solved is a MINLP (Mixed Integer Non Linear Programming) problem.A solution strategy is implemented in order to obtain a confident solution with a determinist algorithm. This strategy is tested for different study cases close to FONGEOSEC conditions. Stability and Robustness of this strategy are then highlighted. An economic and an exergetic analysis are carried out. In order to find a good compromise between the two objectives, a multi-objective solution is performed. Finally, the diversity of results obtained shows it is not suitable to dissociate ORC and DHN studies and shows the interest of the developed tool
Cafieri, Sonia. "From local to global and back : a closed walk in mathematical programming and its applications." Habilitation à diriger des recherches, Université Paul Sabatier - Toulouse III, 2012. http://tel.archives-ouvertes.fr/tel-00979273.
Vidal, Emmanuel. "Stratégie de planification pour la flexibilité opérationnelle d'un atelier à cheminement unique." Toulouse, INPT, 2000. http://www.theses.fr/2000INPT041G.
The management of a production shop aims at finding the best compromise between commercial, financial and industrial requirements. This survey deals with the characterization of "flexibility tools" in flow shop, to ensure the system's operational flexibility, that is its ability to comply with familiar changes. The different criteria are taken into account in a global manner, without favoring "a priori" one of them. So is the "convergence" between the required resources, to carry out the production planning, and the ones set to work favored ; that's why the objective function brings together different types of costs, such as work in progress, inventory, workforce, inactivity and the consequences of the perturbations. Some criteria of minor importance have also been defined. The problem has been approached by two different methods : - the first one, so called "global approach", process simultaneously all the variables, under a mixed integer non linear programming (MINLP) formulation ; - the second one, so called "sequential approach", is based on a decomposition of the problem into sub-problems, to solve them using genetic algorithms at first with a mono-objective formulation, and at second with a multi-objective formulation, that uses the secondary criteria. A small sized example illustrates this approach, to validate the decomposition of the problem into sub-problems and the use of heuristics ; then a bigger example is shown, that is realistic towards a real life industrial configuration
Mertz, Théophile. "Optimisation simultanée de la configuration et du dimensionnement des réseaux de chaleur urbains." Thesis, Pau, 2016. http://www.theses.fr/2016PAUU3019/document.
The aim of this thesis is to develop a method that provides design assistance for District Heating Network (DHN). This tool allows simultaneously the optimization of the configuration and its sizing, thanks to an MINLP formulation (Mixed Integer Non-Linear Programming). Binary variables help to choose the optimal configuration (network layout and technologies of production), whereas continuous variables help DHN sizing (temperature, diameter, velocity, heat exchanger area, thermal generating capacity …). The objective function to minimize is the total cost (capex and opex), subjected to numerous nonlinear constraints (e.g. thermal losses, pressure drop, energy balance).This method enables to design temperature cascade between consumers, when consumer temperature requirements are different, and also looped network (only one pipe in one trench). It helps also the decision to connect (or not) consumers to the main network and also the location(s) and type(s) of the heating plant. Moreover, the arbitrage between heat losses and pressure drops is taken into account thanks to physical considerations (non-linear equations). Eventually, it is possible to design 4th generation DHN and prove their financial profitability over the long terms (30 years). First a multi-step resolution strategy is proposed to ensure finding global optimum of the complex MINLP problem. Then academic study cases are analyzed to underline the numerous assets of the formulation. Finally, the optimal design compared to an existing DHN ensures the consistency of the method and allows to build a study case at a wider scale, which can be solved thanks to the comprehensive strategy developed. The design assistance method is available for initial design as well as for extension of existing DHN
Zhao, Qiao. "Conception and optimization of supercritical CO2 Brayton cycles for coal-fired power plant application." Thesis, Université de Lorraine, 2018. http://www.theses.fr/2018LORR0080/document.
Efficiency enhancement in power plant can be seen as a key lever in front of increasing energy demand. Nowadays, both the attention and the emphasis are directed to reliable alternatives, i.e., enhancing the energy conversion systems. The supercritical CO2 (SC-CO2) Brayton cycle has recently emerged as a promising solution for high efficiency power production in nuclear, fossil-thermal and solar-thermal applications. Currently, studies on such a thermodynamic power cycle are directed towards the demonstration of its reliability and viability before the possible building of an industrial-scale unit. The objectives of this PhD can be divided in two main parts: • A rigorous selection procedure of an equation of state (EoS) for SC-CO2 which permits to assess influences of thermodynamic model on the performance and design of a SC-CO2 Brayton cycle. • A framework of optimization-based synthesis of energy systems which enables optimizing both system structure and the process parameters. The performed investigations demonstrate that the Span-Wagner EoS is recommended for evaluating the performances of a SC-CO2 Brayton cycle in order to avoid inaccurate predictions in terms of equipment sizing and optimization. By combining a commercial process simulator and an evolutionary algorithm (MIDACO), this dissertation has identified a global feasible optimum design –or at least competitive solutions– for a given process superstructure under different industrial constraints. The carried out optimization firstly base on cycle energy aspects, but the decision making for practical systems necessitates techno-economic optimizations. The establishment of associated techno-economic cost functions in the last part of this dissertation enables to assess the levelized cost of electricity (LCOE). The carried out multi-objective optimization reflects the trade-off between economic and energy criteria, but also reveal the potential of this technology in economic performance
Частини книг з теми "Optimisation MINLP":
Goyal, Vishal, and M. G. Ierapetritou. "Stochastic MINLP optimisation using simplicial approximation." In Computer Aided Chemical Engineering, 61–66. Elsevier, 2005. http://dx.doi.org/10.1016/s1570-7946(05)80132-4.
Epelle, Emmanuel I., and Dimitrios I. Gerogiorgis. "Oil Production Optimisation using Piecewise Linear Approximations (MILP): Computational Performance Comparison vs. MINLP Formulation." In Computer Aided Chemical Engineering, 1249–54. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-12-823377-1.50209-3.
Diab, Samir, Nikolaos Mytis, Andreas G. Boudouvis, and Dimitrios I. Gerogiorgis. "Technoeconomic MINLP Optimisation of Liquid-Liquid Extraction (LLE) Cascades for Continuous Pharmaceutical Manufacturing (CPM) of Atropine." In Computer Aided Chemical Engineering, 211–16. Elsevier, 2019. http://dx.doi.org/10.1016/b978-0-12-818634-3.50036-9.
Faísca, Nuno P., Konstantinos I. Kouramas, and Efstratios N. Pistikopoulos. "Global Optimisation of mp-MILP Problems." In Computer Aided Chemical Engineering, 919–24. Elsevier, 2009. http://dx.doi.org/10.1016/s1570-7946(09)70153-1.
Тези доповідей конференцій з теми "Optimisation MINLP":
Khalafa, A., K. Djouania, Y. Hamama, and Y. Alaylid. "Mixed-integer linear programming (MILP) for optimisation of medical equipment maintenance schedules." In 2015 22nd Iranian Conference on Biomedical Engineering (ICBME). IEEE, 2015. http://dx.doi.org/10.1109/icbme.2015.7404143.
Magalhaes, Pedro L., and Carlos Henggeler Antunes. "A comparison of indoor temperature models for building demand response optimisation using MILP." In 2021 International Conference on Smart Energy Systems and Technologies (SEST). IEEE, 2021. http://dx.doi.org/10.1109/sest50973.2021.9543146.
Wang, Xin, Jason Atkin, Serhiy Bozhko, and Christopher Hill. "Application of a MILP-based Algorithm for Power Flow Optimisation within More-Electric Aircraft Electrical Power Systems." In 2019 21st European Conference on Power Electronics and Applications (EPE '19 ECCE Europe). IEEE, 2019. http://dx.doi.org/10.23919/epe.2019.8915388.
Wrigley, P. A., P. Wood, S. O’Neill, R. Hall, and D. Robertson. "Module Design Layout and Equipment Analysis for Off-Site Prefabrication Manufacture and Assembly in a Small Modular Reactor." In 2020 International Conference on Nuclear Engineering collocated with the ASME 2020 Power Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/icone2020-16077.