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description Publicationkeyboard_double_arrow_right Article , Journal 2021Publisher:Elsevier BV Juan Zhang; Lulu Sun; Jiaqing Zhang; Yanming Ding; Wenlu Chen; Yu Zhong;Abstract Pyrolysis characteristics of Beizao oil shale in nitrogen were investigated by thermogravimetric analysis coupled with deconvolution procedure. A new method was proposed to separate multistep thermal decomposition process. Kissinger-Kai method was employed to determine the peak positions of main components involved in the complex reaction, and the overlapping peaks were separated by bi-Gaussian function according to the thermal knowledge of sub-reaction. The results showed that four parallel reactions were observed in the whole process, including the decomposition of kerogen, pyrite, carbonate, as well as removal of crystal water from clay minerals. Furthermore, the kinetic parameters of the separated reactions were estimated by traditional model-free and model-fitting methods on the basis of deconvolution analysis, wherein the optimal reaction models were modified with the accommodation function. Eventually, these parameters were optimized to predict the pyrolysis behavior. It was found that the obtained kinetic parameters and four-component reaction models can well characterize the entire pyrolysis process of Beizao oil shale.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.energy.2021.120791&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu25 citations 25 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.energy.2021.120791&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu
description Publicationkeyboard_double_arrow_right Article , Journal 2021Publisher:Elsevier BV Juan Zhang; Lulu Sun; Jiaqing Zhang; Yanming Ding; Wenlu Chen; Yu Zhong;Abstract Pyrolysis characteristics of Beizao oil shale in nitrogen were investigated by thermogravimetric analysis coupled with deconvolution procedure. A new method was proposed to separate multistep thermal decomposition process. Kissinger-Kai method was employed to determine the peak positions of main components involved in the complex reaction, and the overlapping peaks were separated by bi-Gaussian function according to the thermal knowledge of sub-reaction. The results showed that four parallel reactions were observed in the whole process, including the decomposition of kerogen, pyrite, carbonate, as well as removal of crystal water from clay minerals. Furthermore, the kinetic parameters of the separated reactions were estimated by traditional model-free and model-fitting methods on the basis of deconvolution analysis, wherein the optimal reaction models were modified with the accommodation function. Eventually, these parameters were optimized to predict the pyrolysis behavior. It was found that the obtained kinetic parameters and four-component reaction models can well characterize the entire pyrolysis process of Beizao oil shale.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.energy.2021.120791&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu25 citations 25 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.energy.2021.120791&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu