The manual determination of chemical reaction networks (CRN) and reaction rate equations is cumbersome and becomes workload prohibitive for large systems. In this paper, a framework is developed that allows an almost ...
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The manual determination of chemical reaction networks (CRN) and reaction rate equations is cumbersome and becomes workload prohibitive for large systems. In this paper, a framework is developed that allows an almost entirely automated recovery of sets of reactions comprising a CRN using experimental data. A global CRN structure is used describing all feasible chemical reactions between chemical species, i.e. a superstructure. Network search within this superstructure using mixedintegerlinearprogramming (MILP) is designed to promote sparse connectivity and can integrate known structural properties using linear constraints. The identification procedure is successfully demonstrated using simulated noisy data for linear CRNs comprising two to seven species (modelling networks that can comprise up to forty two reactions) and for batch operation of the nonlinear Van de Vusse reaction. A further case study using real experimental data from a biodiesel reaction is also provided. (C) 2016 Elsevier Ltd. All rights reserved.
In high-performance printed circuit boards (PCBs), adding serpentine delay lines is the most prevalent delay-matching technique to balance the delays of time-critical signals. Serpentine topology, however, can induce ...
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ISBN:
(纸本)9781450399784
In high-performance printed circuit boards (PCBs), adding serpentine delay lines is the most prevalent delay-matching technique to balance the delays of time-critical signals. Serpentine topology, however, can induce simultaneous accumulation of the crosstalk noise, resulting in erroneous logic gate triggering and speed-up effects. The state-of-the-art approach for crosstalk alleviation achieves waveform integrity by enlarging wire separation, resulting in an increased routing area. We introduce a method that adopts spiral delay lines for delay matching to mitigate the speed-up effect by spreading the crosstalk noise uniformly in time. Our method avoids possible routing congestion while achieving a high density of transmission lines. We implement our method by constructing a mixed-integer-linear programming (MILP) model for routing and a quadratic programming (QP) model for spiral synthesis. Experimental results demonstrate that our method requires, on average, 31% less routing area than the original design. In particular, compared to the state-of-the-art approach, our method can reduce the magnitude of the crosstalk noise by at least 69%.
The bus topology, crucial in electronics for multi-device communication, faces challenges with an increasing number of devices and application-specific physical constraints. This work mathematically models bus topolog...
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Securing profits while offering industrial demand-side flexibility in both energy and reserve markets is critical to ensure the profitability of energy-intensive industrial plants to make available their flexible asse...
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Securing profits while offering industrial demand-side flexibility in both energy and reserve markets is critical to ensure the profitability of energy-intensive industrial plants to make available their flexible assets in the electricity markets and hence accelerating the energy transition. Proposing efficient bidding strategies for simultaneous participation in the energy and reserve market is challenging since it requires the integration of different market mechanisms in a single optimization problem (combining energy and reserve markets), as well as an accurate mathematical model of industrial processes from which to obtain energy flexibility. Often, such mathematical models are either not available or are described through complex simulators, making the design of a computationally efficient bidding strategy a complicated *** paper introduces a novel framework to support energy-intensive industrial plants to offer energy flexibility in the joint energy and reserve market. We use a neural network to model the complex nonlinear dynamics of the industrial flexible process. Then, to reduce the complexity of the resulting optimization process we convert the neural network into linear constraints, formulating the problem of bidding energy flexibility into the electricity market as a mixed-integerlinear program. The uncertainties of the process variables are considered using a scenario-based approach.A realistic simulation considering the case of an evaporative cooling tower used in the chemical industry, participating in the Belgian electricity market is carried out to demonstrate the applicability of the proposed scheme.
Considering the difference in driving parameters of buses and social vehicles on the arterial,an arterial traffic signal coordination model that takes into account social vehicles and buses on the basis of the maximum...
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Considering the difference in driving parameters of buses and social vehicles on the arterial,an arterial traffic signal coordination model that takes into account social vehicles and buses on the basis of the maximum bandwidth is *** using the pre-set parameters of a common cycle,green/red duration and known parameters of bus dwell time distribution,link length and vehicle speed and solving the mixed-integer-linear programming and optimizing the signal offsets,the model obtains the signal control parameters of the green bands both of social vehicles and ***,taking Wangjiang Road in Hefei as an example,simulation and evaluation are carried out by *** results show that the new model has 15.2%and 13.2%reduction in average person delay and number of stops,respectively,compared with the traditional coordinated control method.
With increasing the utilization of Photovoltaic (PV) modules, an essential need for fast response and efficient PV fault diagnosis approaches has been growing not only to guarantee system reliability but also to reduc...
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ISBN:
(数字)9781728167824
ISBN:
(纸本)9781728167831
With increasing the utilization of Photovoltaic (PV) modules, an essential need for fast response and efficient PV fault diagnosis approaches has been growing not only to guarantee system reliability but also to reduce maintenance costs, computational burden, and human effort. For this purpose, in this paper, a mixed-integerlinearprogramming technique is proposed as a new approach for fault detection and diagnosis in the PV array. This approach is capable of identifying, discriminating, and localizing the open circuit and short circuit faults. For this, three non-uniform environmental conditions considering low, medium, and high solar irradiance and module temperatures levels are experienced. Moreover, the PV mathematical model is conducted to calculate the PV array power, which is compared with the measured one to find exactly the faulty module location. The proposed model is validated experimentally using a moderate PV string to identify the possible fault patterns. Additionally, the proposed approach is compared with another two traditional approaches to check the optimization accuracy and computational time during the physical tests.
Printed electronics is of great interest for low-cost, large-area fabrication due to fast and scalable processes with low material consumption. However, notable resources are currently required for fine-tuning layout ...
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Printed electronics is of great interest for low-cost, large-area fabrication due to fast and scalable processes with low material consumption. However, notable resources are currently required for fine-tuning layout designs and process parameters to prevent unintended fabrication artifacts. This study proposes the use of electronic design automation to mitigate such artifacts by segmenting input layouts and arranging the resulting objects in separate conflict-free layers. To this end, two exemplary conflicts with relevance for inkjet printing are defined. The first addresses heterogeneous structures composed of low- and high-resolution features. The second is concerned with layouts requiring a high feature density. Experimental data is used to derive constraints for layer arrangement. Finally, mixed-integer-linear programming is used to formally model the problem and minimize the total number of layers under the aforementioned constraints. The results of printing test layouts with and without algorithmic treatment are characterized in terms of film morphology, device functionality, and fabrication yield. The data demonstrates a more consistent fabrication outcome and significantly increased yields for optimized fabrication batches compared to non-optimized ones. The final processing of the layouts requires no human intervention and can readily be transferred to a variety of ink-substrate systems.
Facility layout design and planning within construction sites are a common construction management problem and regarded as a complex combinatorial problem. To transport heavy materials, tower cranes are needed and sho...
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Facility layout design and planning within construction sites are a common construction management problem and regarded as a complex combinatorial problem. To transport heavy materials, tower cranes are needed and should be well located to reduce operating costs and improve overall efficiency. Quadratic assignment problem (QAP), non-linear in nature, has been developed to simulate the material transportation procedure. Applying linear constraint sets, the quadratic problem can be linearized and the problem could be formulated into a mixed-integer-linear programming (MILP) problem solvable by a standard branch-and-bound technique for true optimal results. Numerical findings show that MILP results outperform those optimized by Genetic Algorithms with almost 7% on improving the objective function values in which facilities and locations can be modeled using integer variables. To demonstrate the design flexibility of using MILP formulation, the problem is also extended to non-homogeneous storages where different materials can be stored at a single supply point. (C) 2010 Elsevier B.V. All rights reserved.
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