Integrated production and utility system approach for optimizing industrial unit operations

Agha, Mujtaba Hassan; Théry, Raphaële; Hétreux, Gilles; Haït, Alain; Lann, J.M. Le

doi:10.1016/j.energy.2009.10.032

Cited by 74 publications

(67 citation statements)

References 28 publications

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“…This is generally classified into sequential (Mařík, Schindler & Stluka, 2008) and integrated (Agha et al, 2010;Mitra et al, 2013;Zhao, Rong, Feng & Dong, 2014) solutions. The sequential approaches have the master and slave form in which manufacturing task scheduling, energy demand forecast and energy supply operation planning are carried out consecutively.…”

Section: Current Approachesmentioning

confidence: 99%

“…Figure 1. Schematic of on-site energy supply for manufacturing systems Moreover, recent studies have illustrated additional system improvements can be achieved through combining production and on-site energy supply management (Agha, Thery, Hetreux, Hait & Le Lann, 2010;Meckler & Hyman, 2010). In these cases, production objectives such as make-span or inventory minimization are combined with energy oriented objectives such as operational cost minimization.…”

Section: Introductionmentioning

confidence: 99%

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A Combined Approach for Production Parameter Selection and On-site Energy Supply Management in Manufacturing Industry

Ghadimi¹,

Mousavi²,

Wen³

et al. 2016

MAS

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Integrated management of manufacturing plant's production and on-site energy supply systems has shown potential economic, environmental and resource efficiency advantages for the industry. However, existing approaches are solely based on pure mathematical models with a high degree of abstraction with limited applicability, which becomes impractical for industrial applications. In this paper a simulation methodology for production parameters selection and on-site energy supply management is presented. In this case, state-based models and operational strategies of manufacturing processes and on-site energy supply options are integrated to represent interdependency between production processes, technical building services and on-site energy supply system. As a result, the proposed methodology covers manufacturing system complexity without compromising the required accuracy. This is applied to a batch based manufacturing plant and the impact of particular production parameters on energy demand profile is evaluated. The results indicate the impact of production parameters on energy supply system. In addition, the proposed approach enables manufacturers to evaluate the implications of potential production approaches in order to select appropriate operational strategies for on-site energy supply systems.

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Section: Current Approachesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Combined Approach for Production Parameter Selection and On-site Energy Supply Management in Manufacturing Industry

Ghadimi¹,

Mousavi²,

Wen³

et al. 2016

MAS

View full text Add to dashboard Cite

show abstract

“…Third, thermodynamic insights, such as the Willans line, are used to describe the component on an input-output basis (Ashok and Banerjee, 2003) [41]. It is important to note that the choice can be made for each component individually and researchers often combine the three approaches (Yusta et al, 2008 [42]; Agha et al, 2010 [16]; VelascoGarcia et al, 2011 [43]). In the following, we describe the aforementioned papers that use thermodynamic balance equations in more detail.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Marshman et al (2010) [39] employ a constant efficiency model for steam turbines and boiler to optimize the cogeneration facility of a paper and pulp mill. Agha et al (2010) [16] integrate the scheduling of a co-generation facility into the resource task network formulation (RTN) that has been used for the scheduling of manufacturing facilities (Pantelides, 1994) [44]. They use piece-wise linear approximations for boiler efficiencies and constant steam turbine efficiencies.…”

Section: Literature Reviewmentioning

confidence: 99%

“…This scenario is especially feasible if the CHP plant is owned by the same company as the production facility. Todd et al (2009) [15] discuss the benefit of such an approach for aluminum production and Agha et al (2010) [16] study the joint scheduling of a batch plant and a CHP plant using a MILP model. Note that the resulting formulation can be nonlinear, depending on the nature of the industrial process.…”

Section: Introductionmentioning

confidence: 99%

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Optimal scheduling of industrial combined heat and power plants under time-sensitive electricity prices

Mitra

Sun

Grossmann

2013

Energy

228

109

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Combined heat and power (CHP) plants are widely used in industrial applications. In the aftermath of the recession, many of the associated production processes are under-utilized, which challenges the competitiveness of chemical companies. However, under-utilization can be a chance for tighter interaction with the power grid, which is in transition to the so-called smart grid, if the CHP plant can dynamically react to time-sensitive electricity prices.In this paper, we describe a generalized mode model on a component basis that addresses the operational optimization of industrial CHP plants. The mode formulation tracks the state of each plant component in a detailed manner and can account for different operating modes, e.g. fuel-switching for boilers and supplementary firing for gas turbines, and transitional behavior. Transitional behavior such as warm and cold start-ups, shutdowns and pre-computed start-up trajectories is modeled with modes as well. The feasible region of operation for each component is described based on input-output relationships that are thermodynamically sound, such as the Willans line for steam turbines. Furthermore, we emphasize the use of mathematically efficient logic constraints that allow solving the large-scale models fast.

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Simultaneous mixed‐integer dynamic scheduling of processes and their energy systems

Baader¹,

Bardow²,

Dahmen

2022

AIChE Journal

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Increasingly volatile electricity prices make simultaneous scheduling optimization desirable for production processes and their energy systems. Simultaneous scheduling needs to account for both process dynamics and binary on/off‐decisions in the energy system leading to challenging mixed‐integer dynamic optimization problems. We propose an efficient scheduling formulation consisting of three parts: a linear scale‐bridging model for the closed‐loop process output dynamics, a data‐driven model for the process energy demand, and a mixed‐integer linear model for the energy system. Process dynamics is discretized by collocation yielding a mixed‐integer linear programming (MILP) formulation. We apply the scheduling method to three case studies: a multiproduct reactor, a single‐product reactor, and a single‐product distillation column, demonstrating the applicability to multiple input multiple output processes. For the first two case studies, we can compare our approach to nonlinear optimization and capture 82% and 95% of the improvement. The MILP formulation achieves optimization runtimes sufficiently fast for real‐time scheduling.

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Integrated production and utility system approach for optimizing industrial unit operations

Cited by 74 publications

References 28 publications

A Combined Approach for Production Parameter Selection and On-site Energy Supply Management in Manufacturing Industry

A Combined Approach for Production Parameter Selection and On-site Energy Supply Management in Manufacturing Industry

Optimal scheduling of industrial combined heat and power plants under time-sensitive electricity prices

Simultaneous mixed‐integer dynamic scheduling of processes and their energy systems

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