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Distributed Manufacturing for Electrified Chemical Processes in a Microgrid
  • Asha Ramanujam,
  • Gonzalo Constante-Flores,
  • Can Li
Asha Ramanujam
Purdue University System
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Gonzalo Constante-Flores
Purdue University System
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Can Li
Purdue University

Corresponding Author:[email protected]

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To alleviate the greenhouse gas emissions by the chemical industry, electrification has been proposed as a solution where electricity from renewable sources is used to power processes. The adoption of renewable energy is complicated by its spatial and temporal variations. To address this challenge, we investigate the potential of distributed manufacturing for electrified chemical processes installed in a microgrid. We propose a multi-scale mixed-integer linear programming model for locating modular electrified plants, renewable-based generating units, and power lines in a microgrid that includes monthly transportation and hourly scheduling decisions. We propose a K-means clustering-based aggregation disaggregation matheuristic to solve the model efficiently. The model and algorithm are tested using a case study with 20 candidate locations in Western Texas. Additionally, we define a new concept, “the Value of the Multi-scale Model”, to demonstrate the additional economic benefits of our model compared with a single-scale model.
02 May 2023Submitted to AIChE Journal
10 May 2023Review(s) Completed, Editorial Evaluation Pending
10 May 2023Submission Checks Completed
10 May 2023Assigned to Editor
11 May 2023Reviewer(s) Assigned
18 Jun 2023Editorial Decision: Revise Major
16 Jul 20231st Revision Received
18 Jul 2023Submission Checks Completed
18 Jul 2023Assigned to Editor
18 Jul 2023Review(s) Completed, Editorial Evaluation Pending
18 Jul 2023Reviewer(s) Assigned
24 Aug 2023Editorial Decision: Revise Minor
10 Sep 20232nd Revision Received
10 Sep 2023Submission Checks Completed
10 Sep 2023Assigned to Editor
10 Sep 2023Review(s) Completed, Editorial Evaluation Pending
14 Sep 2023Editorial Decision: Accept