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Thermodynamic modeling and optimal short-term scheduling of a green H2-fueled combined heat and power generation system for industrial zones

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INTERNATIONAL JOURNAL OF HYDROGEN ENERGY 2024年 84卷 235-245页

作者： Jabari, Hamid Ghazani, Ardalan Shafiei Jabari, Farkhondeh Sahand Univ Technol Fac Mech Engn Tabriz Iran Niroo Res Inst NRI Power Syst Operat & Planning Res Dept Tehran Iran

This paper presents a novel green combined heat and power generation system for industrial applications. It composes of a hydrogen-fueled combined cycle power plant and a battery energy storage. Firstly, the hydrogenair rich mixture enters the combustion chamber of the gas turbine cycle for generating electricity, while recovering the heating energy from the exhausted flue gases for driving a steam turbine cycle. The heating energy extracted from the condenser heat exchanger is also used to supply the heating demand of the end-user. Moreover, a comprehensive thermodynamic model and analysis of H2 combustion process is provided to estimate the adiabatic flame temperature based on enthalpies of reactants and products. The optimum operating point of the cogeneration system is found by solving a mixed-integer nonlinear problem using MATLAB and GAMS over a 24-h study horizon aiming to minimize its daily operation cost considering all technical constraints of system components and load-generation balance criterion. It is found that the energy efficiency of the hydrogen-fueled combined cycle changes from 46 to 58 % while generating 11.331-12.982 MW electricity and 4.436-4.984 MW heat. Two cases are studied without and with participation of battery in energy procurement strategy. It is demonstrated that the objective function of the optimization problem improves from 18 $ cost in case 1 to 29 $ revenue in case 2.

关键词： Hydrogen-steam combined cycle Combined heat and power (CHP) Battery Adiabatic flame temperature mixed-integer nonlinear programming (MINLP) problem

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Improved hybrid simulated annealing algorithm for navigation scheduling for the two dams of the Three Gorges Project

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COMPUTERS & MATHEMATICS WITH APPLICATIONS 2008年第1期56卷 151-159页

作者： Zhang, Xiaopan Yuan, Xiaohui Yuan, Yanbin Huazhong Univ Sci & Technol Sch Hydropower & Informat Engn Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Inst Syst Engn Wuhan 430074 Peoples R China Wuhan Univ Technol Sch Resources & Environm Engn Wuhan 430070 Peoples R China

The purpose of this paper is to deal with the optimal navigation co-scheduling (NCS) for the two dams of the Three Gorges Project in China, i.e., the Three Gorges Dam and the Gezhouba Dam. The co-scheduling includes the operational scheduling for all five locks of the two dams, and the dispatching scheduling to ships applying to pass the dams. Compared with the flexible manufacturing system (FMS), a mixed-integer nonlinear programming model is designed for the NCS, and an improved hybrid algorithm of simulated annealing and local search is addressed to obtain optimal scheduling. Experiments based on real historical execution data show that the approach is feasible. (C) 2007 Elsevier Ltd. All rights reserved.

关键词： simulated annealing local search mixed-integer nonlinear programming optimal navigation co-scheduling three gorges project

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Optimization of Supply Chain Systems with Price Elasticity of Demand

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INFORMS JOURNAL ON COMPUTING 2011年第4期23卷 557-568页

作者： Kaplan, Ugur Turkay, Metin Karasozen, Bulent Biegler, Lorenz T. Koc Univ Dept Ind Engn TR-34450 Istanbul Turkey Middle E Tech Univ Dept Math TR-06531 Ankara Turkey Middle E Tech Univ Inst Appl Math TR-06531 Ankara Turkey Carnegie Mellon Univ Dept Chem Engn Pittsburgh PA 15213 USA

A centralized multiechelon, multiproduct supply chain network is presented in a multiperiod setting with products that show varying demand against price. An important consideration in such complex supply chains is to maintain system performance at high levels for varying demands that may be sensitive to product price. To examine the price-centric behavior of the customers, the concept of price elasticity of demand is addressed. The proposed approach includes many realistic features of typical supply chain systems such as production planning and scheduling, inventory management, transportation delay, transportation cost, and transportation limits. In addition, the proposed system can be extended to meet unsatisfied demand in future periods by backordering. Effects of the elasticity in price demand in production and inventory decisions are also examined. The supply chain model is formulated as a convex mixed-integer nonlinear programming problem. Reformulations are presented to make the problem tractable. The differential equations are reformulated as difference equations, and unbounded derivatives in the nonlinear objective function are handled with an approximation, with guaranteed bounds on the loss of optimality. The approach is illustrated on a multiechelon, multiproduct supply chain network.

关键词： mixed-integer nonlinear programming supply chain management smoothing price elasticity of demand

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Assessing solution quality and computational performance in the hydro unit commitment problem considering different mathematical programming approaches

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ELECTRIC POWER SYSTEMS RESEARCH 2016年 136卷 212-222页

作者： Finardi, E. C. Takigawa, F. Y. K. Brito, B. H. Univ Fed Santa Catarina Elect Syst Planning Res Lab BR-88040900 Florianopolis SC Brazil Fed Inst Santa Catarina BR-88020300 Florianopolis SC Brazil Fed Inst Tocantins BR-77020450 Palmas Brazil

This paper presents a comparative analysis of different mathematical programming approaches for optimizing the hydro unit commitment (HUC) problem with cascaded plants, multiple generating units, and a head-dependent hydropower model. Regarding the HUC problem related to this paper, the objective is to minimize the cascade outflow while satisfying all constraints, including a power target for each plant, in a day-ahead planning horizon. The decision variables are the on/off status of the units and the respective generation levels. Rigorously, the HUC is a mixed-integer nonlinear programming (MINLP) problem, and several strategies can be used to compute near-optimal solutions. In this paper, we are interested in accessing the solution quality, as well as the computational performance when the HUC problem is solved using the following mathematical programming approaches: (i) the Lagrangian relaxation that represents a decomposition technique that exploits the HUC modeling structure, (ii) a MINLP solver that can handle the size and the non-concavity of the problem, and (iii) a mixed-integer linear programming (MILP) approach obtained by means of the hydropower model linearization. To perform the proposed analysis, numerical results are presented related to a real hydro system with eight cascaded reservoirs and 29 generating units. (C) 2016 Elsevier B.V. All rights reserved.

关键词： Hydro unit commitment Lagrangian relaxation mixed-integer nonlinear programming mixed-integer linear programming Hydropower model

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An improved series-parallel optimization approach for cooling water system

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APPLIED THERMAL ENGINEERING 2019年 154卷 368-379页

作者： Liu, Shiqi Song, Jinchun Shi, Jia Yang, Bin Northeastern Univ Sch Mech Engn & Automat Shenyang 110819 Liaoning Peoples R China Shanghai Baosteel Co Shanghai 201900 Peoples R China

Conventional cooling networks are usually operated in a parallel configuration. Although this configuration is easy operated, it results in inefficient use of water. A series configuration can effectively reduce water flow rate, while its arrangement is relatively complex, incurring more operating and capital cost. This paper proposes a water and energy conservation strategy to save energy cost and to simplify the network structure. Heat exchangers are arranged in series-parallel configuration to reduce the water flow rate for water conservation, and two kinds of installation conditions with or without static pressure drop are taken into account for energy conservation. A main-auxiliary pump structure is applied to reduce the operating consumption. The number of reuse branch for the economic performance is analyzed. mixed-integer nonlinear programming based on a superstructure description is formulated by considering the configuration of pumps and heat exchanger networks simultaneously. Two case studies are employed to demonstrate the effectiveness of the proposed approach. The results show that the improved series-parallel configuration approach can save 10.9% of the total cost compared with the two-step sequential optimization and 4.7% compared with the simultaneous optimization method.

关键词： Cooling water system Series-parallel configuration Static pressure drop Reuse branch mixed-integer nonlinear programming

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A simulated annealing algorithm with neighbourhood list for capacitated dynamic lot-sizing problem with returns and hybrid products

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INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING 2018年第8期31卷 739-747页

作者： Koken, Pakayse Seok, Hyesung Yoon, Sang Won SUNY Binghamton Syst Sci & Ind Engn Thomas J Watson Sch Engn & Appl Sci Binghamton NY 13902 USA Hongik Univ Dept Ind Engn Seoul South Korea

This research addresses the capacitated dynamic lot-sizing problem with returns and hybrid products (CLSPRH). The problem is to identify how many of each product type to produce during each period for a hybrid system with manufacturing capacity constraints. The objective of CLSPRH is to maximise total profit of the production system that consists of new, remanufactured and hybrid products. CLSPRH is a multi-period CLSP, which is modelled as a mixed-integer nonlinear programming problem. The traditional CLSP is NP-hard, and the nonlinearity of CLSPRH makes the problem even harder to solve. Therefore, a Simulated Annealing (SA) algorithm with a neighbourhood list (SA_NL) is proposed. By using a list of several neighbourhoods, the SA algorithm is improved. SA_NL is compared to SA, three variants of Genetic Algorithm (GA) and a Variable Neighbourhood Search (VNS) algorithm. The variants of GA are GA with one-point crossover (GA(OP)), GA with two-point crossover (GA(TP)) and GA with one-point period-based crossover (GA(OPPB)). Over all instances, the results show that the proposed SA_NL outperforms SA, VNS, GA(OP), GA(TP) and GA(OPPB) by 0.54%, 0.34%, 1.92%, 1.78% and 2.92%, respectively.

关键词： Remanufacturing inventory and production control mixed-integer nonlinear programming metaheuristics

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Power transformer optimal design using an innovative heuristic algorithm combined with mixed-integer non-linear programming and FEM technique

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IET GENERATION TRANSMISSION & DISTRIBUTION 2017年第13期11卷 3359-3370页

作者： Yadollahi, Milad Lesani, Hamid Univ Tehran Dept Elect & Comp Engn POB 14395-515 Tehran Iran

Power transformer optimal design (PTOD) is a complex multi-objective optimisation problem. Due to large variables search space, most optimisation methods proposed in literature for PTOD are prone to find local minimum instead of the global one. To prevail over the aforementioned problem, this study aims to propose a new heuristic algorithm combined with mixed-integer non-linear programming (MINLP), and also, some modifications to conventional PTOD procedure. Some promising features of the proposed method in comparison to the previously proposed methods are (i) it considers more design variables as a gene for transformer constructing chromosome (TCC), (ii) before building the main TCC, it divides the PTOD algorithm into some sub-algorithms and starts to construct some sub-chromosomes with lower number of genes as parts of the main TCC, which allows us to detect improper genes based on a sensitivity analysis and design constraints, (iii) not only it considers technical and consumer constrains, but it also take manufacturing constraints into account, (iv) MINLP is used to find global optimum point, and (v) the validity of obtained optimal solution is further assessed by presenting comprehensive finite-element method (FEM) and experimental result.

关键词： finite element analysis power transformers integer programming nonlinear programming sensitivity analysis search problems power transformer optimal design innovative heuristic algorithm mixed-integer nonlinear programming FEM technique complex multiobjective optimisation problem large variable search space local minimum MINLP transformer constructing chromosome TCC PTOD algorithm sensitivity analysis design constraints manufacturing constraints global optimum point finite-element method

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A leader-follower game in competitive facility location

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COMPUTERS & OPERATIONS RESEARCH 2012年第2期39卷 437-448页

作者： Kucukaydin, Hande Aras, Necati Altinel, I. Kuban Bogazici Univ Dept Ind Engn Istanbul Turkey

We address the problem of locating new facilities of a firm or franchise that enters a market where a competitor operates existing facilities. The goal of the new entrant firm is to decide the location and attractiveness of its new facilities that maximize its profit. The competitor can react by opening new facilities, closing existing ones, and adjusting the attractiveness levels of its existing facilities, with the aim of maximizing its own profit. The demand is assumed to be aggregated at certain points in the plane and the new facilities of both the firm and the competitor can be located at predetermined candidate sites. We employ the gravity-based rule in modeling the behavior of the customers where the probability that a customer visits a certain facility is proportional to the facility attractiveness and inversely proportional to the distance between the facility site and demand point. We formulate a bilevel mixed-integer nonlinear programming model where the firm entering the market is the leader and the competitor is the follower. We propose heuristics that combine tabu search with exact solution methods. (C) 2011 Elsevier Ltd. All rights reserved.

关键词： Competitive facility location Leader-follower game mixed-integer nonlinear programming Hybrid tabu search heuristic

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Simultaneous Model Selection and Parameter Estimation for Lithium-Ion Batteries: A Sequential MINLP Solution Approach

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AICHE JOURNAL 2016年第1期62卷 78-89页

作者： Shen, Jia-Ni He, Yi-Jun Ma, Zi-Feng Shanghai Jiao Tong Univ Dept Chem Engn Shanghai Electrochem Energy Devices Res Ctr Shanghai 200240 Peoples R China

Equivalent circuit model (ECM) is a practical and commonly used tool not only in state of charge (SOC) estimation but also in state of health (SOH) monitoring for lithium-ion batteries (LIBs). The functional forms of circuit parameters with respect to SOC in ECM are usually empirical determined, which cannot guarantee to obtain a compact and simple model. A systematical solution framework for simultaneous functional form selection and parameter estimation is proposed. A bi-objective mixed-integer nonlinear programming (MINLP) model is first constructed. Two solution approaches, namely the explicit and implicit methods, are then developed to balance model accuracy and model complexity. The former explicitly treats the model complexity as a constraint and the latter implicitly embeds the model complexity into the objective as a penalty. Both approaches require sequential solution of the transformed MINLP model and an ideal and nadir ideal solutions-based criterion is utilized to terminate the solution procedure for determining the optimal functional forms, in which ideal solution and nadir ideal solution represent the best and worst of each objective, respectively. Both explicit and implicit approaches are thoroughly evaluated and compared through experimental pulse current discharge test and hybrid pulse power characterization test of a commercial LIB. The fitting and prediction results illustrate that the proposed methods can effectively construct an optimal ECM with minimum complexity and prescribed precision requirement. It is thus indicated that the proposed MINLP-based solution framework, which could automatically guide the optimal ECM construction procedure, can be greatly helpful to both SOC estimation and SOH monitoring for LIBs. (C) 2015 American Institute of Chemical Engineers

关键词： lithium-ion batteries state of charge equivalent circuit model functional forms selection parameter estimation mixed-integer nonlinear programming

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Energy and water optimization of an integrated bioethanol production process from molasses and sugarcane bagasse: A Colombian case

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FUEL 2020年 260卷 116314-000页

作者： Valderrama, Claudia Quintero, Viviana Kafarov, Viatcheslav Ind Univ Santander Physicochem Engn Dept Chem Engn 9 St 27 Santander Colombia Marina Univ Environm Engn Calle 18 34-104 Pasto Narino Colombia

In the present paper, an integrated scheme of first and second-generation bioethanol production is proposed to increase the yield and decreasing thermal energy and freshwater requirements. In this sense, an energy consumption reduction of the integrated process was evaluated through heat exchangers network integration, applying mathematical programming. Then, to reduce freshwater consumption, streams with water disposal for reuse in the process was evaluated, formulating the problem as a mixed-integer nonlinear programming problem (MINLP). Bioethanol production from the integrated scheme increased at least 40% compared it with sugar-bioethanol production scheme. The heat exchanger network with the minimum annual cost was identified. Around of 16% of freshwater consumption was minimized using a nonconvex nonlinear programming NLP. The integration of second-generation bioethanol to a sugar-bioethanol process could increase, the bioethanol production in Colombia, without an energy and water excessive consumption.

关键词： Bioethanol Exergy analysis Heat integration Water integration mixed-integer nonlinear programming

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