“Just-for-Peak” buffer inventory for peak electricity demand reduction of manufacturing systems

Fernandez, Mayela; Li, Lin; Sun, Zeyi

doi:10.1016/j.ijpe.2013.06.020

Cited by 82 publications

(35 citation statements)

References 20 publications

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“…Bego et al 2014;Fernandez et al 2013;Hadera et al 2014;Lee and Reklaitis 1995;Mignont and Hermia 1996;Wang and Li 2013) These studies, in which the balancing capacity supplied by shutting down steel production processes are assessed, mainly focus on the theoretical DR potential. The first group calculates the DR potentials based on the electricity intensities of the processes while it is not taking into account how much of these potentials can actually be realised based on the technical constraints of the processes involved in the demand response measure.…”

Section: Assessment Of the Methodsmentioning

confidence: 99%

Technical demand response potentials of the integrated steelmaking site of Tata Steel in IJmuiden

et al. 2018

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Power generation from intermittent renewable energy sources in northwest Europe is expected to increase significantly in the next 20 years. This reduces the predictability of electricity generation and increases the need for flexibility in electricity demand. Data on demand response (DR) capacities of electricity-intensive consumers is limited for most countries. In this paper, we evaluate the DR potential that can be provided to the Dutch national grid by the integrated steelmaking site of Tata Steel in IJmuiden (TSIJ). TSIJ generates electricity from its works arising gases (WAGs). The DR potentials are evaluated by using a linear optimisation model that calculates the optimal allocation of WAGs of TSIJ in case of a call for DR by the transmission system operator. The optimisation is done subject to the technical constraints of the WAG distribution network, WAG storage capacities, the on-site demand for WAGs and the ramp-up rate of the power plant that runs on WAGs. Results show that TSIJ can supply 10 MW for two programme time units (equal to 15-min period in the Netherlands) of positive DR capacity (demand reduction) with an availability rate of 97%. This is not sufficient for participating in the current emergency capacity programs in the Netherlands, which require at least 20 MW for longer than one programme time unit. Tata Steel can provide 20 MW DR capacity with an availability rate of 65%. The negative DR capacity (demand increase) of Tata Steel in IJmuiden is found to be 20 MW supplied for three programme time units and four programme time units with doubling of blast furnace gas storage capacities.

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Section: Assessment Of the Methodsmentioning

confidence: 99%

Technical demand response potentials of the integrated steelmaking site of Tata Steel in IJmuiden

et al. 2018

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“…Based on this, Zhou et al [17] present shutdown strategies considering bottlenecks in manufacturing to meet demand response requirement. Fernandez et al [18] propose the usage of buffer inventory to reduce energy demand during peak periods. Since buffers are built up during off-peak periods this approach results in reduced energy costs.…”

Section: Related Workmentioning

confidence: 99%

An Approach for Energy-oriented Production Control Using Energy Flexibility

Schultz¹,

Sellmaier²,

Reinhart³

2015

Procedia CIRP

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Due to rising energy costs and growing awareness for green production, many companies expand their energy self-supply by wind or solar energy. To use this self-supply efficiently, producing companies aim to synchronize their energy demand with a limited energy supply. This has to be reflected in the companies' production control strategies. This paper presents a concept for a short-term production control, which treats electric energy as a limited production capacity. The approach makes use of energy flexibility to align energy demand in production with energy supply while maintaining logistic goals.

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“…The steady state of the dynamical system can be numerically solved using the fixed-point iteration (40). The iteration starts when all buffers are empty at time t = 1, i.e.,…”

Section: B Numerical Solution Of the Psm Dynamical Systemmentioning

confidence: 99%

A Novel Modeling Method for Both Steady-State and Transient Analyses of Serial Bernoulli Production Systems

Wang

2015

IEEE Trans. Syst. Man Cybern, Syst.

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Conventionally, production system modeling (PSM) has been conducted for the purpose of steady-state analysis, which only facilitates characterizing the long-term performance of production systems. More recently, there has been a rising concern regarding analyzing production system transients, which depict the system behavior before reaching the steady state. Transients are generally undesirable because the performance measures can be quite different from those of the steady state, and such differences will cause substantial production loss. Compared to the rich knowledge on steady-state analysis of production systems, PSM for transient performance analysis is much less studied. In this paper, a novel analytical method has been established to model the production system for both steady-state and transient analyses. This research has overcome the restrictions of existing methods on the number of machines and the capacity of buffers. That is, it has greatly advanced PSM for both steady-state and transient analyses by directly dealing with general serial production systems with multiple unreliable Bernoulli machines and finite buffer capacities. The proposed PSM is a method derived based on probability theory and fixed-point theory. The solvability of the method is proved theoretically. The transient performance metrics, such as second largest eigenvalue modulus, duration of the transients (t ITER ), settling time of workin-process (t WIP ) and production rate (t PR ), and percent loss of production (L PR ) have been investigated numerically based on the proposed PSM method. This research can serve as an atomic model for more complex optimization problems in production system design and operation.

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“Just-for-Peak” buffer inventory for peak electricity demand reduction of manufacturing systems

Cited by 82 publications

References 20 publications

Technical demand response potentials of the integrated steelmaking site of Tata Steel in IJmuiden

Technical demand response potentials of the integrated steelmaking site of Tata Steel in IJmuiden

An Approach for Energy-oriented Production Control Using Energy Flexibility

A Novel Modeling Method for Both Steady-State and Transient Analyses of Serial Bernoulli Production Systems

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