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A multi-period source-sink mixed integer linear programming model for biochar-based carbon sequestration systems

SUSTAINABLE PRODUCTION AND CONSUMPTION 2016年 8卷 57-63页

作者： Tan, Raymond R. De La Salle Univ Dept Chem Engn 2401 Taft Ave Manila 0922 Philippines

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.

关键词： Biochar Negative emissions technology Carbon sequestration Optimization mixed integer linear programming Source-sink model

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A mixed integer linear programming approach to schedule the operating room

A mixed integer linear programming approach to schedule the ...

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IEEE International Conference on Systems, Man, and Cybernetics (SMC)

作者： Maaroufi, F. Camus, H. Korbaa, O. ENSI Manouba MARS Equipe OSS Manouba Tunisia Ecole Cent Lille LAGIS Equipe OSL Villeneuve Dascq France ISITCom Hamam Sousse MARS Equipe OSS Sousse Tunisia

ISBN: (纸本)9781509018970

the problem studied in this paper is to allocate and to sequence the elective operation on operating rooms (ORs). We develop a mixed integer linear programming (MILP) model to solve this problem. Decisions in this model include the allocation of operations to material resources and human resources, the starting time of them and the starting time for each surgeon. To show the efficiency of this model, we decide to compare it with a constraints programming (CP) approach. The performance of these models is tested using a benchmark of the literature. The results indicate the efficiency of the MILP model compared with the CP model in terms of computational time.

关键词： health care operating rooms mixed integer linear programming constraint programming

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mixed integer linear programming Model for Integrating Cell Formation, Group Layout and Group Scheduling

Mixed Integer Linear Programming Model for Integrating Cell ...

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IEEE International Conference on Industrial Technology (ICIT)

作者： Fahmy, Sherif A. Amer Univ Middle East Dept Ind Engn Kuwait Kuwait

ISBN: (纸本)9781479978007

Cellular manufacturing systems (CMS) are production systems that typically comprise a number of manufacturing cells served by a centralized material handling system. Designing such systems includes three major decisions;cell formation (CF), group layout (GL), and group scheduling (GS). Traditionally, these three decisions have been dealt with separately, which has usually lead to less than optimal system performance. In this paper, a new mixed integer linear programming (MILP) model is proposed for the integrated CF, GL and GS problem, to efficiently design and operate CMSs. The model solves the integrated problem, taking into consideration intercellular and intracellular transportation times to determine the optimal cell formation, layout of machines and schedule of parts on the machines, simultaneously. Sequence-dependent set up times are also considered in the model. The performance of the model is tested by solving problems previously introduced in the literature considering two objectives;minimizing the makespan or minimizing the mean flow time in the system. The results show that the proposed model is efficient in solving small to medium-sized problems.

关键词： mixed integer linear programming cellular manufacturing systems cell formation group scheduling group layout

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Optimization of sewer networks using the mixed-integer linear programming

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URBAN WATER JOURNAL 2017年第5期14卷 452-459页

作者： Safavi, Hamidreza Geranmehr, Mohammad A. Isfahan Univ Technol Dept Civil Engn Esfahan Iran

This paper introduces a method for optimizing sewer networks using the mixed-integer linear programming (MILP) for a given layout. The objective function is defined as the sum of the costs for pipe purchase, pipe-laying, and manhole construction expressed in linear terms and subject to minimum and maximum allowable slopes, velocities, and relative depths for both minimum and maximum sewage discharge rates in each pipe. Additionally, provisions are made as constraints or conditions to ensure that a minimum pipe cover is required, that pipe diameters do not decrease in the flow direction, and that pipes maintain a steady elevation at each manhole. All the non-linear constraints are transformed into the linear format. Pipe slope, binary variables accounting for commercial pipe diameters and average implemented depths have also been considered as decision variables. Finally, the performance of the proposed optimization method is evaluated in a benchmark sewer network from the literature.

关键词： Sewer networks optimization mixed integer linear programming

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An MILP (mixed integer linear programming) model for optimal design of district-scale distributed energy resource systems

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ENERGY 2015年 90卷 1901-1915页

作者： Yang, Yun Zhang, Shijie Xiao, Yunhan Chinese Acad Sci Inst Engn Thermophys Key Lab Adv Energy & Power Beijing 100190 Peoples R China Chinese Acad Sci Res Ctr Clean Energy & Power Lianyungang 222069 Jiangsu Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China

This study focuses on the optimal design of district-scale DER (distributed energy resource) systems in which energy is produced outside energy-consuming buildings and sent to the buildings through the energy distribution networks. A MILP (mixed integer linear programming) model is constructed. The model can achieve simultaneous optimization of locations (i.e., site for energy generation), synthesis (i.e., type, capacity, and number of equipment as well as structure of the energy distribution networks), and operation strategies of the entire system. The model is built in consideration of discreteness of equipment capacities, equipment partial load operation and output bounds as well as the influence of ambient temperature on gas turbine performance. The objective function is the total annual cost for investing, maintaining, and operating the system. The model is applied to an urban area in Guangzhou (China), and its validity and effectiveness is verified. Results show that the adoption of the proposed DER system provides significant economic benefits in respect to the conventional energy system. (C) 2015 Published by Elsevier Ltd.

关键词： Distributed energy resource Optimal design Synthesis and operation strategies Energy distribution networks mixed integer linear programming

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Single elevator scheduling problem with complete information: An exact model using mixed integer linear programming

Single elevator scheduling problem with complete information...

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American Control Conference

作者： Jingyang Xu Tianke Feng Innovative Decisions and Analytics L.L.C.

ISBN: (纸本)9781467386838

In this paper, we model a single elevator scheduling problem as a mixed integer linear program (MILP). Based on an industrial prototype model for elevator moving dynamics, the nonlinear travel activities for the elevator are linearized in the scheduling problem. We propose a set of cutting planes that accelerate the computation time for solving the MILP for a set of testing cases under different scenarios. For the first time, an exact scheduling model is modeled with MILP, and the elevator moving dynamics model is based on a high-accuracy industrial prototype model. According to the model structure, it can be easily extended to various objectives and can be easily implemented. This model can serve as benchmarks for other approaches in simulation.

关键词： Elevators Dynamic scheduling Mathematical model Job shop scheduling Computational modeling Prototypes Automobiles Elevators Job shop scheduling dynamic scheduling Automobiles mixed integer linear programming Computational modeling original mold Mathematical Model PROTOTYPE Cars CASING INSPECTION computational time

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Volt/var optimization of unbalanced distribution feeders via mixed integer linear programming

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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2015年 72卷 40-47页

作者： Borghetti, Alberto Napolitano, Fabio Nucci, Carlo Alberto Univ Bologna I-40126 Bologna Italy

The paper presents a mixed integer linear programming (MILP) model for the solution of the three-phase volt/var optimization (WO) of medium voltage unbalanced distribution feeders. The WO of a distribution feeder is aimed at calculating the most efficient operating conditions by means of the scheduling of transformers equipped with an on-load tap changer and distributed reactive power resources (such as embedded generators and switchable capacitors banks). The proposed model allows the representation of feeders composed by three-phase, two-phase, and single-phase lines, by transformers with different winding connections, by unbalanced wye- and delta-connected loads, by three-phase and single phase capacitor banks and embedded generators. The accuracy of the results is verified by using IEEE test feeders. (C) 2015 Elsevier Ltd. All rights reserved.

关键词： Power distribution feeders Unbalanced networks Volt/var optimization mixed integer linear programming

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A multi-period mixed integer linear programming model for water and energy supply planning in Kuwait

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CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY 2015年第2期17卷 485-499页

作者： AlQattan, Nael Ross, Mark Sunol, Aydin K. Univ S Florida Coll Engn Tampa FL 33620 USA

The demand for water often necessitates desalination, particularly in arid coastal environments. Desalination is often integrated with electrical cogeneration. The demands for water and electricity change over time and are subject to uncertainty. A country-wide large-scale energy and water cogeneration planning model for Kuwait is formulated as a multi-period mixed integer linear programming problem and solved to minimize the net present value over the time period of 2013-2050. Five different plant technology options were considered for desalination and cogeneration including Oil & Multi Stage Flash, Natural Gas & Multi-Effect Distillation, Natural Gas & Reverse Osmosis, Solar Energy & Multi-Effect Distillation, and Solar Energy & Reverse Osmosis. Both water and energy usage in Kuwait and data from existing plants were utilized in providing the parameters and forecasts necessary for solution of the mathematical programming model. The model provides technology choice and associated capacity decisions for existing plants, new plants at green sites, and existing plant capacity expansions as well as their timing to meet the demands.

关键词： Cogeneration mixed integer linear programming Capacity expansion Desalination

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A mixed integer linear programming approach to schedule the operating room

A mixed integer linear programming approach to schedule the ...

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IEEE International Conference on Systems, Man, and Cybernetics

作者： F. MAAROUFI H. CAMUS O. KORBAA MARS équipe OSS ENSI Manouba Manouba Tunisia LAGIS équipe OSL Ecole Centrale de Lille Villeneuve d'Ascq France MARS équipe OSS ISITCom Hamam Sousse Sousse Tunisia

ISBN: (纸本)9781509018987

关键词： constraint programming health care operating rooms mixed integer linear programming

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The Planning of Distribution Network Containing Distributed Generators Based on mixed integer linear programming 5

The Planning of Distribution Network Containing Distributed ...

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5th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT)

作者： Shi, Jinyue Qiao, Ying Wang, Yingrui Wen, Junqiang Tong, Jingjing Zhang, Jianhua North China Elect Power Univ Sch Elect & Elect Engn Beijing Peoples R China

ISBN: (纸本)9781467371063

currently, the methods for solving the planning of distribution network (DN) are meta-heuristic algorithms whose computational efficiency is low and the results are not accurate. Therefore, this paper uses the advanced mixed integer linear programming (MILP) technology to model the multi-conductor DN planning containing the allocation of distributed generator (DG). Firstly, replace power flow calculation with an equivalent cone programming, then remove the product terms of binary and continuous variables, and finally use polyhedral models which are linear to approximate the planning model. In addition, as the siting and sizing of DG are added to the network planning, the situation that part of the loads are supplied by the DG separately perhaps appear thus leading to the appearance of loops. So the spanning tree (ST) constraints are introduced to the model to ensure the radiation of the DN. Finally, 23-node distribution system is used to simulate the above-mentioned model, and the results show the effectiveness and efficiency of the proposed model.

关键词： distributed generator mixed integer linear programming distribution network planning multi-conductor planning spanning tree constraints

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