Coal-fired power plant CCUS project comprehensive benefit evaluation and forecasting model study

jinsoo, Han; Li, Jiachun; Tang, Xi; Wang, Lechen; Yang, Xiaolong; Ge, Zeqi; Yuan, Fei

doi:10.1016/j.jclepro.2022.135657

Cited by 29 publications

(12 citation statements)

References 38 publications

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“…The analysis showed that the low acceptance of CCUS technology is due to the lack of knowledge about the technology, which is consistent with previous research by Oltra et al [11]. Public concern is also a determining factor in the acceptance of technology, where when the public perceives that CCUS technology will provide better environmental safety, they tend to choose it as an alternative technology that provides better environmental protection [1,46,47]. Furthermore, differences in the sociodemographic characteristics of the respondents, who come from developing countries, also contribute to the rejection and low awareness of CCUS technology [14].…”

Section: Discussionsupporting

confidence: 86%

Exploring Public Attitudes and Acceptance of CCUS Technologies in JABODETABEK: A Cross-Sectional Study

Sitinjak,

Ebennezer,

Ober

2023

Energies

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One of the most essential elements of environmental protection is an appropriate policy towards carbon capture, utilisation, and storage (CCUS). On the one hand, these technologies are being dynamically developed. Still, on the other hand, we often encounter social resistance to change and new technologies, which is one of the main barriers to their implementation. This research examined public acceptance and awareness of Indonesia’s CCUS technologies. Five hundred respondents completed an online survey representing Jakarta, Bogor, Depok, Bekasi, and Tangerang. The study found that the respondents had more favourable feelings towards carbon capture and utilisation (CCU) than CO2 capture and storage (CCS), perceiving CCU as more innovative, necessary, cost-effective, secure, environmentally friendly, and beneficial to regional and national economies than CCS. However, in Indonesia, most respondents did not embrace the development of CCUS technology due to a lack of knowledge and fear, which can lead to violence. The results indicate that an individual’s awareness of perceived risks and the ability to safeguard the environment are crucial to their acceptance of CCUS technology. These findings contribute to understanding the public perception of CCUS technologies in Indonesia and can help to develop effective communication strategies to improve public understanding and acceptance of CCUS initiatives.

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Section: Discussionsupporting

confidence: 86%

Exploring Public Attitudes and Acceptance of CCUS Technologies in JABODETABEK: A Cross-Sectional Study

Sitinjak,

Ebennezer,

Ober

2023

Energies

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“…According to Formulas (10) and (11), the total downtime of all units covered by intelligent storage due to the shortage of spare parts is expected to be:…”

Section: Modeling Of Annual Purchase Cost Of Key Spare Parts For a Si...mentioning

confidence: 99%

“…Nurkhat, Z., et al [10] used an optimization model and proposed a combination of quantitative and qualitative approaches, which was used in the data analysis of demand variations and distributions and technical and consumption parameters to provide optimal solutions. Jieping et al [11] adopted machine learning for benefit prediction, with a good degree of fitting and high accuracy of the model, based on the relevant data of seven power plants adopting CCUS technology in three countries from 2008 to 2022.…”

Section: Introductionmentioning

confidence: 99%

Storage Optimization (r, Q) Strategy under Condition-Based Maintenance of Key Equipment of Coal-Fired Power Units in Carbon Neutrality Era

Sun¹,

Zhang

et al. 2023

Energies

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For the safe, stable, and economic operation of thermal power units in new power systems, the condition-based maintenance mode and storage strategy of key equipment and materials for power generation enterprises were selected. According to the storage linkage demand of condition-based maintenance, a Weibull probability density function was used to calculate spare parts demand, and an intelligent storage optimization model with an availability constraint was established. The application cases of spare parts cost and availability of high-value key equipment and low-value key equipment of coal-fired thermal power units were analyzed, respectively, and the influence of different life spans and the number of covered units on the model were expounded. The results show that the cost of spare parts borne by a single unit is greatly reduced via the optimization of an intelligent inventory (r,Q) strategy on the premise that the availability of units is not less than 99.5%.

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“…On the one hand, CCUS technology can reduce CO 2 emissions in the atmosphere and reduce the concentration of greenhouse gases [2][3] . On the other hand, it can help CO 2 high-emission industries achieve low-carbon development and promote economic transformation [4][5] . Therefore, CCUS technology has broad application prospects in the eld of global energy and environment.…”

Section: Introductionmentioning

confidence: 99%

Potential assessment of CCUS source and sink and its matching research of deep unworkable seam in Huainan coalfield of China

Fang,

Yu,

Zhang

et al. 2024

Preprint

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It is of great significance for the engineering popularization of CO2-ECBM technology to evaluate the potential of CCUS source and sink and study the matching of pipeline network of deep unworkable seam. In this study, the deep unworkable seam was taken as the research object. Firstly, the evaluation method of CO2 storage potential in deep unworkable seam was discussed. Secondly, the CO2 storage potential was analyzed. Then, the matching research of CO2 source and sink was carried out, and the pipe network design was optimized. Finally, this study puts forward suggestions on the design of pipeline network from the perspective of time and space scales. The results show that the average annual CO2 emissions of coal-fired power plants vary greatly, and the total emissions are 58.7608 million tons. The CO2 storage potential in deep unworkable seam is huge with a total amount of 762 million tons, which can store CO2 for 12.97 years. During the 10-year period, the deep unworkable seam can store 587.6 million tons of CO2, and the cumulative length of pipeline is 251.6129 km with requiring a cumulative capital of 4.26*1010 dollars. In the process of CCUS source-sink matching, the cumulative saving mileage of carbon sink is 98.7502 km, and the cumulative saving cost is 25.669 billion dollars with accounting for 39.25% and 60.26% of the total mileage and cost, respectively. Based on the three-step approach, the whole line of CO2 source and sink in Huainan coalfield can be completed by stages and regions, and all CO2 transportation and storage can be realized. CO2 pipelines include gas collection and distribution branch lines, intra-regional trunk lines, and interregional trunk lines. Based on the reasonable layout of CO2 pipelines, a variety of CCUS applications can be simultaneously carried out, intra-regional and inter-regional CO2 transport network demonstrations can be built, and integrated business models of CO2 transport and storage can be simultaneously built on land and sea. The research results can provide reference for the evaluation of CO2 sequestration potential of China's coal bases, lay a foundation for the deployment of CCUS clusters, and promote the realization of China's dual-carbon strategy.

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Coal-fired power plant CCUS project comprehensive benefit evaluation and forecasting model study

Cited by 29 publications

References 38 publications

Exploring Public Attitudes and Acceptance of CCUS Technologies in JABODETABEK: A Cross-Sectional Study

Exploring Public Attitudes and Acceptance of CCUS Technologies in JABODETABEK: A Cross-Sectional Study

Storage Optimization (r, Q) Strategy under Condition-Based Maintenance of Key Equipment of Coal-Fired Power Units in Carbon Neutrality Era

Potential assessment of CCUS source and sink and its matching research of deep unworkable seam in Huainan coalfield of China

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