The use of distributed energy system (DES), such as combined heat and power (CHP) and district heating and cooling system, is spreading. DES is also indispensable for introducing renewable energy. Although introductio...
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ISBN:
(纸本)9781538653265
The use of distributed energy system (DES), such as combined heat and power (CHP) and district heating and cooling system, is spreading. DES is also indispensable for introducing renewable energy. Although introduction cost of renewable energy is high, the generation cost is low. Hence, there is a possibility that marginal fuel cost will be affected an electricity charge. Some external factors can influence on the capacity planning of DES. Therefore, we developed the model to optimize equipment capacities and long-term operations of DES. This planning approach is used two methods, using particle swarm optimization (PSO) and mixed integer linear programming (MILP). The long-term optimization results show that there are changes in the installed capacity and operation.
Biochar-based systems are a potentially effective means of large-scale carbon sequestration. Such systems rely on carbonization of biomass into biochar, which can then be added to soil for the dual purpose of sequeste...
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Biochar-based systems are a potentially effective means of large-scale carbon sequestration. Such systems rely on carbonization of biomass into biochar, which can then be added to soil for the dual purpose of sequestering carbon and improving fertility. When properly deployed, these systems can potentially achieve negative emissions through the net transfer of carbon from the atmosphere into the ground. In this work, an optimization model is developed to determine the allocation of biochar streams of different quality levels to various biochar sinks, which are farms whose tolerance to impurities present in biochar are known a priori. The optimization model determines source-sink allocation of biochar so as to minimize total system carbon footprint, while ensuring that soil quality parameters for each sink are not exceeded. An illustrative case study is solved to demonstrate the use of the model.
In this paper we analyze different mixed integer linear programming (MILP) models in order to produce 1D and 3D Spread-Out Bragg peaks (SOBP) for protons in water. Our techniques do not use much computational resource...
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ISBN:
(纸本)9798350312249
In this paper we analyze different mixed integer linear programming (MILP) models in order to produce 1D and 3D Spread-Out Bragg peaks (SOBP) for protons in water. Our techniques do not use much computational resources;in particular, all our experiments have been performed by a standard personal computer. As main result we give the proof of concept that the techniques that we use to create parameterized uniform SOBP can be fruitfully used in Treatment Planning Systems (TPS) for Intensity Modulated Proton Therapy (IMPT). As technical result we show, for the first time to our best knowledge, that there is a trade-off between the minimum number of energies (or layers) to be used to have a SOBP peak within a uniformity tolerance parameter Dt and the same parameter Dt. Minimizing the number of energies also has the advantage of reducing the delivery time using the facilities in operation nowadays.
This paper discusses Lyapunov stability verification methods for continuous-time nonlinear systems. Traditional mathematical methods require a lot of manual calculations, which consume a lot of time and energy. To add...
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ISBN:
(纸本)9798350372694;9798350372700
This paper discusses Lyapunov stability verification methods for continuous-time nonlinear systems. Traditional mathematical methods require a lot of manual calculations, which consume a lot of time and energy. To address the problem of the low efficiency in traditional methods, this paper introduces neural networks into the design of the Lyapunov function to achieve independent verification. First, a neural network is used to represent the Lyapunov function. Then, the Lyapunov stability condition is converted into a mixed integer linear programming (MILP) problem, and the solution to the optimization problem is solved through the MILP solver to verify whether the output of the neural network satisfies the Lyapunov stability condition. In addition, this paper gives the training loss function of the Lyapunov neural network, which mainly consists of optimization problems. Finally, a simulation example is given to illustrate the effectiveness of this method.
Indonesia is one of the countries with the largest mining resources in the world, and this sector contributes a lot to the country's economy. However, the negative impacts resulting from this sector are also not t...
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ISBN:
(纸本)9781450348669
Indonesia is one of the countries with the largest mining resources in the world, and this sector contributes a lot to the country's economy. However, the negative impacts resulting from this sector are also not to be taken lightly, especially for the environment. One of the pollution produced is dust contamination. If not addressed, it will cause various health and safety disorders in the mine. For that, the use of water trucks became common in mining to water the streets. It takes careful planning on the activity of water trucks in the mines to maximize their effectiveness. Therefore, this study aims to build a route design and water truck scheduling using mixedinteger Linier programming that effectively reduce dust pollution. The result of this research is a route and schedule arrangement for water truck that can be used to guide the activity of water truck in mining and penalty calculation for each scenario.
In this paper, we present a novel methodology based on mixed integer linear programming (MILP) for obtaining the complete design tradeoff curve of heterogeneous adders. For each optimal design point of the tradeoff cu...
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ISBN:
(纸本)9781612848570
In this paper, we present a novel methodology based on mixed integer linear programming (MILP) for obtaining the complete design tradeoff curve of heterogeneous adders. For each optimal design point of the tradeoff curve, our approach determines both the number of subadders, the architecture of each subadder and the bit width of each subadder. In order to reduce the number of binary variables in the formulation of the MILP, we introduce a new modeling of non-convex curves. Comparisons using five different adder architectures implemented in a standard cells 65nm CMOS technology are shown. Experimental results reveal that the proposed design space exploration methodology is better, when compared with the best published work, up to 11.73 times and 2.16 times in average in terms of CPU time.
Existing electrical networks are going through a transition and distributed energy resource, if not managed properly, can hinder this transition. Uncontrolled introduction of photovoltaics and electric vehicles in dis...
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ISBN:
(纸本)9781665448758
Existing electrical networks are going through a transition and distributed energy resource, if not managed properly, can hinder this transition. Uncontrolled introduction of photovoltaics and electric vehicles in distribution networks would lead to substantial issues such as commitment mismatches, line congestions, voltage deviations, etc. This paper presents the use of a classical approach, mixed integer linear programming optimization, and a novel approach, adaptive multi-agent system, to solve the highlighted distribution side challenges by utilizing electric vehicles' storage capacity. This comparison serves as a great tool to benchmark the performance of the under-development adaptive multi-agent system methodology.
In this paper, a method for generating a mixed integer linear programming problem from deterministic timed Petri nets to optimize the makespan of manufacturing systems is proposed. After exposing several challenges in...
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In this paper, a method for generating a mixed integer linear programming problem from deterministic timed Petri nets to optimize the makespan of manufacturing systems is proposed. After exposing several challenges involved in such a model transformation, a novel method is exploited to overcome them. The adopted solution may create a synergy between the highly expressive timed Petri net modelling framework and the computational attractive mathematical programming tool set. (c) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd.
The intelligence algorithm used in the backbone grid search is unrobust and has uncertain results. To tackle the drawback, this paper proposes a mixed integer linear programming (MILP) model for generating the power s...
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ISBN:
(纸本)9781728116754
The intelligence algorithm used in the backbone grid search is unrobust and has uncertain results. To tackle the drawback, this paper proposes a mixed integer linear programming (MILP) model for generating the power system backbone grid. Based on the graph theory, this model considers the connectivity of the backbone grid as linear constraints with integer variables. Constrains of line power in the model are elicited by the derivation from Kirchhoff's current law. Since the expressions in this model are analytical and linear, with the help of developed MILP algorithm, the proposed model can fully solve the problem of absence of robustness in existing method. The simulations of IEEE 39-bus system and IEEE 118-bus system show that the proposed model is effective and reliable, which provides a new idea for the development in this research.
Recent trends in process engineering have placed increased emphasis on the design of inherently clean and efficient processes. For example, a wide range of pinch analysis and mathematical programming methods have been...
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Recent trends in process engineering have placed increased emphasis on the design of inherently clean and efficient processes. For example, a wide range of pinch analysis and mathematical programming methods have been developed for designing schemes for water reuse/recycle in industrial plants for both grassroot design and plant retrofit. In the latter case, the conventional approach is to maximize water recovery and thereby minimize fresh water demand and effluent volume. However, it is possible that with such an approach the reductions in environmental impact brought about by saving water can be offset by other impacts arising from increased use of energy and materials in the plant after retrofit. This work presents a model for minimizing the total resource consumption impact of a water reuse/recycle network. The total impact is expressed in terms of emergy - a measure of cumulative solar energy inputs into a life cycle system. A simplified model is proposed that focuses on the impact contributions of water, electrical power and material for capital goods. Two case studies illustrate the approach. Results show that the network with the lowest total impact can be found by sacrificing water recovery for savings in energy and material use. (c) 2007 Curtin University of Technology and John Wiley & Sons, Ltd.
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