Demand Response Operation of Electricity-Intensive Chemical Processes for Reduced Greenhouse Gas Emissions: Application to an Air Separation Unit

Kelley, Morgan T.; Baldick, Ross; Bâldea, Michael

doi:10.1021/acssuschemeng.8b03927

Cited by 29 publications

(12 citation statements)

References 49 publications

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“…models are versatile and have found useful applications in control theory and, recently, DR studies. For example, HW models developed for an air separation process were employed for DR scheduling34,37 and for scheduling process operations for reduced emissions 38. The two model types discussed above describe the dynamic evolution of the variables associated with the process.…”

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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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confidence: 99%

Cooperative optimal power flow with flexible chemical process loads

2021

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“…The latter responses consider electricity spot prices to reduce electrical energy costs. In addition to the economic benefits, environmental impacts, especially carbon footprint, can be mitigated by exploiting electricity with a high share of RES , . Especially for electricity‐intensive industrial processes such as air separation units (ASU) , chlor‐alkali (CA) electrolysis , , seawater reverse osmosis , and aluminum production processes , DSM is particularly worthwhile.…”

Section: Beneficial Utilization Of Electricity By Power‐to‐xmentioning

confidence: 99%

Power‐to‐X: Between Electricity Storage, e‐Production, and Demand Side Management

Burre

Bongartz

Brée

et al. 2019

Chemie Ingenieur Technik

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This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.The common understanding of Power-to-X is exclusively the use of renewable electricity to manufacture products currently based on fossil sources. In this paper, it is argued that beyond such e-Production many of these technologies also include aspects related to demand side management and temporal storage of electricity. Therefore, a definition of Powerto-X is suggested that encompasses all three aspects. It is discussed, which of these are relevant under which conditions and illustrative examples are highlighted, which show how process systems engineering can help address common challenges for Power-to-X technologies.

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“…Focusing on a cement plant in the United Kingdom, Summerbell et al compare production schedules optimized for electricity costs and CO 2 emissions, finding synergetic effects (i.e., an optimization for cost savings also reduces the CO 2 emissions and vice versa) 44 . Likewise, Kelley et al consider scheduling alternatives for air separation units using data for California in 2017 45 . Therein, the authors also find mostly synergetic effects.…”

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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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Demand Response Operation of Electricity-Intensive Chemical Processes for Reduced Greenhouse Gas Emissions: Application to an Air Separation Unit

Cited by 29 publications

References 49 publications

Cooperative optimal power flow with flexible chemical process loads

Cooperative optimal power flow with flexible chemical process loads

Power‐to‐X: Between Electricity Storage, e‐Production, and Demand Side Management

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

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