Fuzzy set–based decision support system for hydrogen sulfide removal technology selection in natural gas processing: a sustainability and efficiency perspective DOI
Abdolvahhab Fetanat,

Mohsen Tayebi

Environmental Monitoring and Assessment, Год журнала: 2024, Номер 196(12)

Опубликована: Ноя. 28, 2024

Язык: Английский

Optimizing the Sustainability of Demulsification Techniques for Water-in-Oil and Oil-in-Water Emulsions in the Oil and Gas Industry: A Decision Support System Under Quintic Fuzzy Set DOI

Mohsen Tayebi,

Abdolvahhab Fetanat

Process Integration and Optimization for Sustainability, Год журнала: 2025, Номер unknown

Опубликована: Фев. 27, 2025

Язык: Английский

Процитировано

1

Wind energy integrated green hydrogen system as sustainable solution to decarbonize Iranian Industrial Cities DOI
Seyyed Shahabaddin Hosseini Dehshiri, Bahar Firoozabadi

Energy, Год журнала: 2024, Номер 306, С. 132450 - 132450

Опубликована: Июль 14, 2024

Язык: Английский

Процитировано

9

Sustainable Refining: Enhancing Energy Efficiency in Crude Distillation Processes DOI

Mohamed Rafeek,

Mohamed Elwardany,

A. M. Nassib

и другие.

Chemical Engineering and Processing - Process Intensification, Год журнала: 2025, Номер unknown, С. 110326 - 110326

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

1

A hybrid entropy-based economic evaluation of hydrogen generation techniques using Multi-Criteria Decision Making DOI
Faten S. Alamri, Muhammad Haris Saeed, Muhammad Saeed

и другие.

International Journal of Hydrogen Energy, Год журнала: 2023, Номер 49, С. 711 - 723

Опубликована: Ноя. 1, 2023

Язык: Английский

Процитировано

17

A consensus-based single valued neutrosophic model for selection of educational vendors under metaverse with extended reality DOI
Abhijit Saha, Renuka Kolandasamy, Prasenjit Chatterjee

и другие.

Applied Soft Computing, Год журнала: 2024, Номер 155, С. 111476 - 111476

Опубликована: Март 8, 2024

Язык: Английский

Процитировано

6

Socio-Economic Barriers to Adopting Energy-Saving Bioclimatic Strategies in a Mediterranean Sustainable Real Estate Setting: A Quantitative Analysis of Resident Perspectives DOI Creative Commons
Constantinos Vassiliades,

Christos Minterides,

Olga-Eleni Astara

и другие.

Energies, Год журнала: 2023, Номер 16(24), С. 7952 - 7952

Опубликована: Дек. 7, 2023

In response to escalating environmental challenges, this research underscores the pivotal role of sustainable construction practices, particularly focusing on bioclimatic design as a foundational element within realm architecture and upgrading buildings, broader context urban planning. The study delves into perspectives residents in Cyprus concerning building design. Employing quantitative methodology, investigation aims comprehensively assess homeowner views benefits, motivations, concerns, preferred techniques associated with By comprehending these contextual factors, identifies obstacles hindering implementation illuminates why adoption remains limited, despite potential for substantial energy emissions reductions. also examines background respondents, such heating/cooling systems, expenses, upgrade preferences, provide essential findings. A structured questionnaire was administered stratified sample 150 pedestrians Pafos area, ensuring representative cross-section local population. This method allowed robust examination demographic influences opinions an in-depth analysis impact residential characteristics. findings reveal influence cost considerations shaping decisions related property development renovation existing structures, contributing limitation widespread across island. persists even majority respondents express readiness undertake upgrades, among which, most popular actions include installation specialized glass, replacement traditional air conditioning units inverters, energy-efficient lighting. culminates proposal that introducing financial incentives has enhance participation upgrades. recommendation is salient climatic Cyprus, where solar control measures emerges promising avenue bolstering efficiency. considering socio-economic dimensions implicit findings, it becomes evident interplay between practices critical aspect. identified barriers underscore necessity nuanced strategies policy frameworks address adoption. context, contributes body knowledge by shedding light intricate relationship factors architectural offering implications future endeavors avenues interventions.

Язык: Английский

Процитировано

12

New distance measure-based RANCOM-AROMAN approach for evaluating sustainable human resource management factors in the manufacturing firms DOI
Pratibha Rani, Arunodaya Raj Mishra, Adel Fahad Alrasheedi

и другие.

Operational Research, Год журнала: 2025, Номер 25(2)

Опубликована: Май 2, 2025

Язык: Английский

Процитировано

0

Optimal multi-period source-sink matching in carbon capture, utilization, and storage (CCUS) systems under neutrosophic environment DOI
John Frederick D. Tapia

Journal of Cleaner Production, Год журнала: 2024, Номер 467, С. 142967 - 142967

Опубликована: Июнь 20, 2024

Язык: Английский

Процитировано

3

Techno-economic analysis of integrating an on-board CCS system and a PtG technology in a heavy vehicle fleet DOI Creative Commons
Alexander García‐Mariaca, Jorge Perpiñán, Uriel Fernando Carreño Sayago

и другие.

Journal of CO2 Utilization, Год журнала: 2025, Номер 93, С. 103046 - 103046

Опубликована: Фев. 28, 2025

Язык: Английский

Процитировано

0

Optimization of Decision Support Technology for Offshore Oil Condition Monitoring with Carbon Neutrality as the Goal in the Enterprise Development Process DOI Creative Commons

Shiya Gao,

Xin Guan,

Xiaojing Cao

и другие.

PLoS ONE, Год журнала: 2025, Номер 20(3), С. e0319858 - e0319858

Опубликована: Март 25, 2025

This study aims to explore the integration of Faster R-CNN (Region-based Convolutional Neural Network) algorithm from deep learning into MobileNet v2 architecture, within context enterprises aiming for carbon neutrality in their development process. The experiment develops a marine oil condition monitoring and classification model based on fusion algorithms. utilizes network extract rich feature information input images combines rapidly accurately generate candidate regions monitoring, followed by detailed these regions. performance is evaluated through experimental assessments. results demonstrate that average loss value proposed approximately 0.45. Moreover, recognition accuracy training testing sets reaches 90.51% 93.08%, respectively, while other algorithms remains below 90%. Thus, constructed this exhibits excellent terms accuracy, providing reliable technical support offshore contributing promotion sustainable utilization conservation resources.

Язык: Английский

Процитировано

0