Optimal demand response operation of electric boosting glass furnaces

Seo, Kyeongjun; Edgar, Thomas F.; Bâldea, Michael

doi:10.1016/j.apenergy.2020.115077

Cited by 21 publications

(11 citation statements)

References 35 publications

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“…Solutions such as demand response (DR), whereby users of electricity modify their daily (and sometimes seasonal) demand in order to close the power demand–supply gap have been widely investigated, with a plethora of available literature reporting both theoretical concepts and applications to end‐users in the residential, commercial (popularly, buildings 1,2 ) and industrial realms. While a comprehensive review is beyond the scope of the current paper, we recall several examples of the latter application domain that come from chemical processing and related industries: chlor‐alkali 3,4 (which will be discussed later in this paper as well), air separation, 5‐7 pulp and paper production, 8 cement kilns, 9 glass furnaces 10 and steel manufacturing 11 . These works typically assume engagement in the long‐term (day‐ahead) markets, but participation in short‐term (frequency regulation) programs has also been considered 12,13 .…”

Section: Introductionmentioning

confidence: 99%

Cooperative optimal power flow with flexible chemical process loads

2021

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Power systems operations involve dispatching generation capacity and ancillary services as required to sustain reliable functioning of the electric grid. The dispatch schedules are determined by solving power flow calculations that incorporate models of the network components in real time as the power grid conditions change. Electricity intensive chemical processes can potentially provide grid support services and a closer coordination between process and grid operations can be beneficial. This cooperation is hindered by the lack of suitable process models, which appropriately protect process information. We propose a means to model the grid-relevant dynamics of chemical processes, and a framework for embedding such models in optimal power flow calculations. We present an extensive case study concerning cooperative demand-response operation for an electricity-intensive chemical process, chlor-alkali production. The results indicate significant flexibility and economic benefits both at the utility and at the end-user levels.

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Section: Introductionmentioning

confidence: 99%

Cooperative optimal power flow with flexible chemical process loads

2021

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“…Along these lines, we are also interested in assessing the potentials of switching the energy sources. For instance, there are gas‐fired but electrically boosted furnaces for glass production 67 . Here, temporarily increasing/decreasing the electricity consumption might be motivated either by economic or environmental considerations that do not necessarily need to result in similar operating schemes.…”

Section: Resultsmentioning

confidence: 99%

Do investments in flexibility enhance sustainability? A simulative study considering the German electricity sector

2020

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Current research concerning industrial demand side management primarily focuses on monetary aspects. Herein, we extend this perspective by assessing whether economically driven measures increasing the flexibility also result in reduced contributions to the residual load. For this purpose, we conduct a simulative study using historic and projected time series for the German electricity sector. First, Fourier analysis are performed to show that the main oscillation in the electricity price time series has a period length of 12 hr, whereas the renewable generation is primarily characterized by an oscillation with a period length of 24 hr. Second, a generic process model with capabilities for load shiftings is used to evaluate how the fluctuation patterns can be exploited via scheduling optimizations. Most importantly, our results demonstrate that prevalent price fluctuations prevent adequate monetary incentives for providing storage capacities for bridging up to 24 hr, which are desired for reducing the residual load.

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“…As a consequence, DR production scheduling models must explicitly account for the dynamics of the plant. [7][8][9] Prior results confirm that the participation of chemical plants such as air separation units (ASUs), 10,11 chlor-alkali plants, 12,13 glass furnaces, 14 and paper production 15 in DR initiatives holds significant economic promise for plant operators, along with grid balancing benefits stemming from reductions in power demand during peak hours.…”

Section: Introductionmentioning

confidence: 83%

Evaluating the demand response potential of ammonia plants

Kelley

Bâldea

2022

AIChE Journal

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Demand-side management/demand response (DSM/DR) are key strategies for mitigating the inherent variability in electricity generation rates by renewable sources.This article represents-to our knowledge-the first foray into assessing the DR potential of ammonia plants. Ammonia plants are interesting candidates for DR initiatives because of their significant electricity use (for operating compressors driving the synthesis loop) and the ability to store the ammonia product relatively easily and safely. Our approach is based on formulating and solving an optimal DR scheduling problem for an ammonia plant while accounting for the process dynamics. To this end, we introduce a new Hammerstein-Wiener-inspired modeling framework based on injecting linear dynamics in a first-principles static nonlinear model of the process.The results are encouraging; for the cases considered, peak-time power consumption decreases between 3.57% and 7.40%, coupled with 1.39% to 3.70% reductions in operating cost.

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Optimal demand response operation of electric boosting glass furnaces

Cited by 21 publications

References 35 publications

Cooperative optimal power flow with flexible chemical process loads

Cooperative optimal power flow with flexible chemical process loads

Do investments in flexibility enhance sustainability? A simulative study considering the German electricity sector

Evaluating the demand response potential of ammonia plants

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