Industrial Demand Side Management of a Steel Plant Considering Alternative Power Modes and Electrode Replacement

Castro, Pedro M.; Ave, Giancarlo Dalle; Engell, Sebastian; Grossmann, Ignacio E.; Harjunkoski, Iiro

doi:10.1021/acs.iecr.0c01714

Cited by 26 publications

(8 citation statements)

References 36 publications

(53 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With these descriptions, we could now apply the CWE method to this case. The first step was to determine the total energy consumption in the sample factory using Equation (11). The Noavaran cold store has eight compressors.…”

Section: Stonecutting Industrymentioning

confidence: 99%

“…As a part of an industrial project, they collect huge data with the permission of the industry owner to study possible DSM programmes. Furthermore, in these cases, a change of processes may be proposed, which is not necessarily the best choice regarding other factors such as activity duration extension [11]. However, these ad hoc projects cannot be used for industrial park energy or on a larger scale such as regulation and policymaking.…”

Section: Introduction 1industrial Dsm and The Need For Load Disaggreg...mentioning

confidence: 99%

See 1 more Smart Citation

A Practical Load Disaggregation Approach for Monitoring Industrial Users Demand with Limited Data Availability

Tavakoli

Khalilpour

2021

Energies

View full text Add to dashboard Cite

The emergence of smart sensors has had a significant impact on the utility industry. In particular, it has made the planning and implementation of demand-side management (DSM) programmes easier. Nevertheless, for various reasons, some users may not implement smart meters for load monitoring. This paper addresses such cases, particularly large-scale industrial users, which, despite heavy electrical loads coming from many different processes, implement only simple energy measuring equipment for billing purposes. This necessitates the utilisation of novel methodologies for load disaggregation, often referred to as nonintrusive load monitoring (NILM). The availability of such tools can create multifold benefits for industrial park management, utility service providers, regulators, and policymakers. Here, we introduce an optimisation algorithm for nonintrusive load disaggregation that is low-cost, speedy, and acceptably accurate. As a case study, we used real network data of three industrial sectors: food processing, stonecutting, and glassmaking. For all cases, the optimisation framework developed a desegregated profile and estimated the load with an error of less than 5%. For non-workdays, given the higher uncertainty for the continuity of different processes, the estimation error was higher but still in an acceptable range of around 3.63–15.09% with an average of 8.10%.

show abstract

Section: Stonecutting Industrymentioning

confidence: 99%

Section: Introduction 1industrial Dsm and The Need For Load Disaggreg...mentioning

confidence: 99%

A Practical Load Disaggregation Approach for Monitoring Industrial Users Demand with Limited Data Availability

Tavakoli

Khalilpour

2021

Energies

View full text Add to dashboard Cite

show abstract

“…Furthermore, the power-intensive industry often has the necessary infrastructure and technological requirements to benefit from DR . Accordingly, the realization of these industrial DR potentials is a focus of current research, for cement production, , the metal industry, − paper production, and the chemical industry. , An overview of the state of research in recent years is provided in the literature. − …”

Section: Introductionmentioning

confidence: 99%

Chlor-alkali Process with Subsequent Polyvinyl Chloride Production─Cost Analysis and Economic Evaluation of Demand Response

Klaucke

Muller

Hofmann

et al. 2023

Ind. Eng. Chem. Res.

View full text Add to dashboard Cite

Demand response is a viable option to cope with the increasing demand for flexibility of an energy system based on renewables. Several studies have shown that the electricity-intensive chlor-alkali process has high potential. Previous research primarily focused on process engineering to determine technological flexibility potentials or optimal production scheduling. However, these potentials can only be realized if they are economically viable. This requires knowledge of the costs of a demand response, including their causes and dependencies, as well as an understanding of the necessary market conditions. Using a business management approach, we examine the economically viable demand response potentials. The cost is based on real data and the economic evaluation of marketing flexibility on a day-ahead market. The results lead to conclusions about relationships between costs and performed load change and the economic limit of demand response. Significant costs like accelerated membrane aging or anode degeneration depend on various load change parameters. These conclusions can be used to implement economic conditions in models for dispatch and scheduling or bidding strategies concerning the chlor-alkali process and similar electrochemical processes. We demonstrate that the chlor-alkali process with subsequent PVC manufacturing is economically viable under current market conditions.

show abstract

“…13,14 This represents a potential win-win for the power grid and manufacturer, serving as a form of economic incentive for helping to balance grid demand. Numerous recent works study demand-side management of other electrified industrial processes (see recent perspectives by Billings and Powell, 15 Cegla et al 16 ), including air separation, [17][18][19] chlor-akali electrolysis, 20,21 steel manufacturing, 22 zeolite crystallization, 23 and copper production. 24 Demand response schedules are typically computed using dynamic 25,26 or static 27 surrogate models, given an electricity price forecast, by solving a dynamic or (mixed-integer) linear optimization problem.…”

Section: Introductionmentioning

confidence: 99%

Integrating process and power grid models for optimal design and demand response operation of giga‐scale green hydrogen

Tsay,

Qvist

2023

AIChE Journal

View full text Add to dashboard Cite

Electrolysis‐based hydrogen production can play a significant role in industrial decarbonization, and its economic competitiveness can be promoted by designing demand response operating schemes. Nevertheless, the scale of industrial supply plants may be significantly large (on the order of gigawatts), meaning that electricity prices cannot be treated as an input for scheduling problems, that is, the “price taker” approach. This article presents a framework for the optimization of a large‐scale, electricity‐powered hydrogen production facility considering its integration with the power grid. Using a computational case study, we present an iterative scheme for integrating the process model with a model for power grid optimization and capacity expansion, taking the popular GenX model as an example.

show abstract

Industrial Demand Side Management of a Steel Plant Considering Alternative Power Modes and Electrode Replacement

Cited by 26 publications

References 36 publications

A Practical Load Disaggregation Approach for Monitoring Industrial Users Demand with Limited Data Availability

A Practical Load Disaggregation Approach for Monitoring Industrial Users Demand with Limited Data Availability

Chlor-alkali Process with Subsequent Polyvinyl Chloride Production─Cost Analysis and Economic Evaluation of Demand Response

Integrating process and power grid models for optimal design and demand response operation of giga‐scale green hydrogen

Contact Info

Product

Resources

About