LAPSE:2023.32568
Published Article
LAPSE:2023.32568
Application of System Dynamic Modelling for Evaluation of CO2 Emissions and Expenditure for Captive Power Generation Scenarios in the Cement Industry
April 20, 2023
Cement manufacturing is an emission-intensive process. The cement industry is responsible for 8% of the global CO2 emissions, and produces a ton of cement uses up to 102 kWh of electrical energy, leading to a significant amount of indirect emissions depending on the emission intensity of the electricity source. Captive power generation can be potentially utilised as a mitigation approach to reduce emissions and as well as expenditure on electricity tariffs. In this study, a system dynamic simulation model is built to evaluate the impact of captive power generation on a cement plant’s net emissions and expenditure through electricity use, under different scenarios for carbon-tax, grid emission factor, and electricity tariffs. The model is then utilised to simulate a reference plant under realistic scenarios designed based on the conditions in Germany and United Arab Emirates. Furthermore, the model is utilised to calculate the payback period of investments on captive power plants under different carbon tax scenarios. The study concludes that a carbon tax policy on emissions through electricity utilisation could have an impact on incentivising the use of captive power generation and would lead to fewer emissions and expenditure during the cement plant’s lifetime.
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Keywords
carbon mitigation, cement industry, decision support, energy and environmental policy, industrial emissions, management, sustainable energy use, system dynamics
Subject
Suggested Citation
Kunche A, Mielczarek B. Application of System Dynamic Modelling for Evaluation of CO2 Emissions and Expenditure for Captive Power Generation Scenarios in the Cement Industry. (2023). LAPSE:2023.32568
Author Affiliations
Journal Name
Energies
Volume
14
Issue
11
First Page
3115
Year
2021
Publication Date
2021-05-26
Published Version
ISSN
1996-1073
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Original Submission
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PII: en14113115, Publication Type: Journal Article
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LAPSE:2023.32568
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doi:10.3390/en14113115
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[v1] (Original Submission)
Apr 20, 2023
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Apr 20, 2023
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