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Multi-stage farm management optimization under environmental and crop rotation constraints

JOURNAL OF CLEANER PRODUCTION 2017年第Mar.20期147卷 197-205页

作者： Capitanescu, F. Marvuglia, A. Gutierrez, T. Navarrete Benetto, E. LIST Environm Res & Innovat ERIN Dept 41 Rue Brill L-4422 Belvaux Luxembourg

This paper presents a novel multi-stage optimization model for farm management during a certain planning time horizon. The salient features of this optimization model are the proper incorporation of crop rotation schemes and the consideration of crop impacts on the environment via linear environmental constraints. This decision support tool produces an optimal crop rotation plan (i.e. which crop to cultivate each year and their area) which maximizes farmer' profit while satisfying specified environmental constraints and crop rotation schemes requirements. The optimization model is formulated as a mixed-integer linear programming (MILP) problem for which sound and powerful solvers exist. The paper thoroughly investigates the impact of various types of environmental constraints, which aim at maintaining the environmental impacts of farm attivities below specified levels either overall, i.e. over the entire planning horizon, or tight, i.e. after each crop rotation. The environmental constraints are derived by adopting a Life Cycle Assessment (LCA) approach. The proposed approach is illustrated, without loss of generality, using agriculture system data specific to Luxembourg. The impact of a variety of environmental constraints, including greenhouse gas emissions and European Union (EU) common agricultural policy (CAP), is discussed. (C) 2017 Elsevier Ltd. All rights reserved.

关键词： Crop rotation Life Cycle Assessment Environmental impact Agricultural systems Farm optimization mixed-integer linear programming

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Optimized dispatch in a first-principles concentrating solar power production model

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APPLIED ENERGY 2017年 203卷 959-971页

作者： Wagner, Michael J. Newman, Alexandra M. Hamilton, William T. Braun, Robert J. Natl Renewable Energy Lab Thermal Syst Grp 15013 Denver West Pkwy Golden CO 80401 USA Colorado Sch Mines Dept Mech Engn 1500 Illinois St Golden CO 80401 USA

Concentrating solar power towers, which include a steam-Rankine cycle with molten salt thermal energy storage, is an emerging technology whose maximum effectiveness relies on an optimal operational and dispatch policy. Given parameters such as start-up and shut-down penalties, expected electricity price profiles, solar availability, and system interoperability requirements, this paper seeks a profit maximizing solution that determines start-up and shut-down times for the power cycle and solar receiver, and the times at which to dispatch stored and instantaneous quantities of energy over a 48-h horizon at hourly fidelity. The mixed-integer linear program (MIP) is subject to constraints including: (i) minimum and maximum rates of start-up and shut-down, (ii) energy balance, including energetic state of the system as a whole and its components, (iii) logical rules governing the operational modes of the power cycle and solar receiver, and (iv) operational consistency between time periods. The novelty in this work lies in the successful integration of a dispatch optimization model into a detailed techno-economic analysis tool, specifically, the National Renewable Energy Laboratory's System Advisor Model (SAM). The MIP produces an optimized operating strategy, historically determined via a heuristic. Using several market electricity pricing profiles, we present comparative results for a system with and without dispatch optimization, indicating that dispatch optimization can improve plant profitability by 5-20% and thereby alter the economics of concentrating solar power technology. While we examine a molten salt power tower system, this analysis is equally applicable to the more mature concentrating solar parabolic trough system with thermal energy storage. (C) 2017 Elsevier Ltd. All rights reserved.

关键词： Dispatch optimization Grid integration Concentrating Solar Power (CSP) Thermal energy storage mixed-integer linear programming Systems analysis

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Minimising work overload in mixed-model assembly lines with different types of operators: a case study from the truck industry

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INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 2017年第21期55卷 6305-6326页

作者： Aroui, Karim Alpan, Gulgun Frein, Yannick Univ Grenoble Alpes CNRS Grenoble INP G SCOP Grenoble France

This paper considers the problem of sequencing mixed-model assembly lines (MMALs). Our goal is to determine the sequence of products to minimise work overload. This problem is known as the MMAL sequencing problem with work overload minimisation: we explicitly use task operation times to find the product sequence. This paper is based on an industrial case study of a truck assembly line. In this industrial context, as a reaction to work overloads, operators at the workstations finish their tasks before the product reaches the next workstation, but at the expense of fatigue. Furthermore, there are different types of operators, each with different task responsibilities. The originality of this work is to model this new way of reacting against work overloads, to integrate three operator types in the sequencing model and to apply the developed methods in a real industrial context. To solve this problem, we propose three meta-heuristic procedures: genetic algorithm, simulated annealing and a combination of these two meta-heuristics. All the methods proposed are tested on industrial data and compared to the solutions obtained using a mixed-integer linear programme. The results show that the proposed methods considerably improve the results of the current procedure used in the case study.

关键词： mixed-model assembly line sequencing problem work overload minimisation mixed-integer linear programming meta-heuristics

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A Unit Commitment Algorithm and a Compact MILP Model for Short-Term Hydro-Power Generation Scheduling

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IEEE TRANSACTIONS ON POWER SYSTEMS 2017年第5期32卷 3381-3390页

作者： Guedes, Lucas S. M. Maia, Pedro de Mendonca Lisboa, Adriano Chaves Gomes Vieira, Douglas Alexandre Saldanha, Rodney Rezende ENACOM BR-31310260 Belo Horizonte MG Brazil Univ Fed Minas Gerais Grad Program Elect Engn BR-31270901 Belo Horizonte MG Brazil Univ Fed Minas Gerais Dept Elect Engn BR-31270901 Belo Horizonte MG Brazil

This paper presents a unit commitment algorithm that defines each unit discharge given the water head, the total plant downstream flow, the variable discharge upper limit, the unit efficiency curves, and the restricted operating zones in order to maximize power efficiency. This algorithm is part of the preprocessing phase that is intended to approximate a hydro-power production function that represents individualized unit decisions. A compact mixed-integer linear programming formulation, with fewer integer variables, based on an equivalent unit model and a piecewise linear generation function, is proposed. The unit commitment is integrated without increasing the model size and complexity due to the preprocessing phase. Moreover, the optimal aggregate decision is automatically converted to unit decisions by the proposed algorithm. The coordination with mid/long-term planning is performed by taking into account the power demand allocated to the hydro-power plants. Numerical tests on Brazilian hydro-power plants demonstrate that the proposed formulation has lower computational cost than unit individualized models considering a given accuracy level for the generation function approximation.

关键词： Short-term planning hydro generation scheduling unit commitment mixed-integer linear programming cascaded reservoirs

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Multistage Security-Constrained HVAC/HVDC Transmission Expansion Planning With a Reduced Search Space

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IEEE TRANSACTIONS ON POWER SYSTEMS 2017年第6期32卷 4805-4817页

作者： Hernando Dominguez, Andres Macedo, Leonardo H. Hernando Escobar, Antonio Romero, Ruben Technol Univ Pereira Dept Elect Engn Pereira 660003 Colombia Sao Paulo State Univ Dept Elect Engn BR-15385000 Ilha Solteira Brazil

This paper proposes a new method to solve the multistage security-constrained transmission expansion planning problem, incorporating lines based on high-voltage alternating current (HVAC) and high-voltage direct current (HVDC) alternatives. A novel mixed-integer linear programming model, which incorporates transmission losses using a piecewise linearization, is presented. An efficient method to reduce the search space of the problem is developed to help in the solution process. Garver's 6-bus system and a modified Southern Brazilian system are used to show the precision and efficiency of the proposed approach. The tests are performed for cases with and without HVDC links and transmission losses. The results indicate that better expansion plans can be found by considering HVDC proposals in the expansion process. The promising trend of using HVDC lines in future networks to improve the reliability in the system is demonstrated.

关键词： HVDC lines mixed-integer linear programming multistage transmission expansion planning power losses security constraints

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A lexicographic approach to the robust resource-constrained project scheduling problem

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INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH 2017年第1-2期24卷 143-157页

作者： Palacio, Juan D. Larrea, Olga L. Inst Tecnol Metropolitano Fac Ciencias Econ & Adm Dept Calidad & Prod Calle 7376A-354 Medellin Colombia

The resource-constrained project scheduling problem (RCPSP) is one of the most studied problems in the context of project scheduling. Given the NP-hardness nature of the problem, the RCPSP has been solved mainly using heuristics. Moreover, most of the studies consider a single objective for the problem. This paper presents an exact approach based on two mixed-integer linear programming (MILP) models to solve the RCPSP. The first MILP aims to minimize makespan, while the second MILP maximizes the robustness of the schedule. The mathematical formulations are solved using a lexicographic approach. We illustrate the effectiveness of the proposed models by solving standard instances for the RCPSP available in the project scheduling problems library (PSLIB) library. Computational results show that it is possible to find alternate optimal solutions with the maximum robustness subject to the minimum makespan for instances with up to 90 activities.

关键词： project scheduling resource constrained robust scheduling mixed-integer linear programming

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Supplier selection under failure risk, quantity and business volume discounts

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COMPUTERS & INDUSTRIAL ENGINEERING 2017年 104卷 145-155页

作者： Bohner, Christian Minner, Stefan Tech Univ Munich TUM Sch Management Arcisstr 21 D-80333 Munich Germany

We consider a supply chain problem with simultaneous supplier selection and order allocation for multiple products. The suppliers offer quantity and business volume discounts, and they are subject to failure. The buyer aims at minimizing total expected costs. We consider both all-units and incremental quantity discounts and find optimal solutions through mixed-integer linear programming. We discuss the trade-off between economies of scale and failure risk and show the cost reduction of our exact approach compared to a previously proposed heuristic. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： Supplier selection Order allocation Quantity discount Business volume discount Failure risk mixed-integer linear programming

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Operational optimization of energy systems, 25 years – established and promising use cases

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Energy Procedia 2018年 149卷 15-24页

作者： Peter Stange Anja Matthees Thomas Sander TU Dresden Institute of Power Engineering Chair of Building Energy Systems and Heat Supply Helmholtzstraße 14 Dresden 01069 Germany

The operation of complex energy systems for the supply of heat and electricity leads to several questions regarding their optimal control, e.g. when to use which generator, when to load or unload energy storages or when to buy or sell energy. Usually it is a complex task to answer these questions with the aim of optimizing a specific objective and respecting all arising physical, technical and economic constraints. Since 25 years we are solving this problem for an energy provider of a medium-sized city with the aim of minimizing the operational costs. For this purpose, an own modelled mixed-integer linear optimization problem (MILP) has to be solved in association to the continuous operation of the energy system. The model includes but is not limited to several combined heat and power generators, heat accumulators, steam generators and auxiliary coolers. In this presentation we will give an outline about the wide range of given conditions that are successfully implemented for this application. Further we show our approach to generate realistic heat demand and power consumption forecasts which are both essential preconditions for obtaining reliable optimization results. In addition to the well – established MILP model in this specific use case we will outline some further promising applications of mathematical optimization in the context of energy systems. This includes the more precise modelling of energy storages, the computation of the optimal design of energy systems and the consideration of different or multiple targets in optimization. Moreover, we outline the problem of uncertain boundary conditions due to the growing amount of temporally hard to predict energy production and demand.

关键词： optimization of operation mixed-integer linear programming energy supply district heating demand forecast

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Multi-degree cyclic flow shop robotic cell scheduling problem with multiple robots

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INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING 2017年第8期30卷 805-821页

作者： Elmi, Atabak Topaloglu, Seyda Gaziantep Univ Dept Ind Engn Fac Engn Gaziantep Turkey Dokuz Eylul Univ Dept Ind Engn Fac Engn Izmir Turkey

This paper deals with the cyclic flow shop robotic cell scheduling problem with multiple robots, in which parts are processed successively on multiple machines with lower and upper bounds on processing times and the robots execute the transportation of parts between the machines. A novel mixed-integer linear programming model has been proposed for this problem. The proposed model simultaneously determines the optimal degree of the cyclic schedule and the optimal sequencing of the robots moves, which in return maximises the throughput rate. The validity of the proposed model is examined by a computational study on a set of randomly generated problem instances and solved using commercial optimisation software GAMS. The computational experiments indicate the efficiency of proposed model.

关键词： robotic cell cyclic scheduling multiple robots mixed-integer linear programming

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Optimal network design of hydrogen production by integrated utility and biogas supply networks

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APPLIED ENERGY 2017年第Dec.15期208卷 195-209页

作者： Hwangbo, Soonho Lee, Seungchul Yoo, Changkyoo Kyung Hee Univ Ctr Environm Studies Dept Environm Sci & Engn Yongin 446701 South Korea

This research aims to develop a mathematical model to construct a network model for producing hydrogen by integrated utility and biogas supply networks (IUBSNs). In this model, a utility supply network exists in a huge petrochemical industry while a biogas supply network consists of a wastewater treatment plant and anaerobic digestion. Pipelines connect the utility and biogas supply networks. The steam reforming process, which is the most well-known process able to generate large amounts of hydrogen, is employed to harness hydrogen as well as to integrate the two networks. In IUBSNs, the needed steam is obtained by optimizing a utility supply network while methane-rich biogas is generated by placing anaerobic digestion tanks into a number of wastewater treatment plants allocated by region. This study uses an algorithm for solving the mixed-integer linear programming problems to minimize the total annual costs of IUBSNs and simultaneously satisfy hydrogen demand. IUBSNs can be a great alternative to a hydrogen supply network that imports and consumes fossil fuels to produce hydrogen, furthermore, it is able to positively influence environmental issues through the reduction of the amount of fossil fuel used in petrochemical industries. A case study of the Republic of Korea illustrates the feasibility of the proposed model. Three cases (base case, only optimized utility supply networks, and IUBSNs) are conducted, and an increase in hydrogen demand is applied to each case. The results demonstrate that IUBSNs construction decreases the total costs by about 13% compared to the existing situation, and as hydrogen demand increases, the gas pipeline structure in IUBSNs employs a hub city to transport biogas flexibly.

关键词： Utility supply network Biogas supply network Hydrogen mixed-integer linear programming Optimization

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