Article
Engineering, Industrial
Sharaf AlKheder, Dalal AlKandari, Sarah AlYatama
Summary: The study developed a set of sustainable assessment criteria to assist design team members in deciding between two material alternatives for constructing a runway. Through fuzzy analytical hierarchy process, the importance of criteria for material selection was determined. Survey results indicated that asphalt was better in terms of maintainability, ease of construction, initial cost, and energy saving, while concrete excelled in fire resistance, durability, and maintenance cost.
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2022)
Article
Green & Sustainable Science & Technology
AbdulHafeez Muhammad, Ansar Siddique, Quadri Noorulhasan Naveed, Uzma Khaliq, Ali M. Aseere, Mohd Abul Hasan, Mohamed Rafik N. Qureshi, Basit Shahzad
Summary: In the higher education sector, academic websites play a crucial role in providing information and resources to various users. Designing academic websites to accommodate users with different needs and technological competences is essential. Using the fuzzy analytic hierarchy process method, this study identified and prioritized critical usability factors for academic websites, proposing an evaluation framework to address real usability issues.
Article
Green & Sustainable Science & Technology
Aleksandra Krol-Badziak, Seyyed Hassan Pishgar-Komleh, Stelios Rozakis, Jerzy Ksiezak
Summary: This study evaluated the sustainability of no tillage (NT), reduced tillage (RT), and conventional tillage (CT) in grain maize monoculture in Poland. Results showed that each tillage system had its own strengths in economic, environmental, and social aspects, with conventional tillage demonstrating the best overall performance. Sensitivity analysis revealed the significant impact of yield variability on the performance of tillage systems, suggesting that conservation tillage systems may play an important role in the face of climate change in the studied area.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Energy & Fuels
Jianghong Feng
Summary: This study proposes a novel integrated multi-criteria decision-making method to determine the optimal onshore wind farm site using fuzzy analytic hierarchy process and satisfaction degree-based fuzzy axiomatic design. The method combines literature review and expert opinions to establish an evaluation index system for wind farm site selection from a sustainable perspective, and evaluates and ranks alternatives under a hybrid decision information environment.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Engineering, Multidisciplinary
Thi-Kim-Lien Nguyen, Quang-Minh Le, Thi-Hong-Diep Vu
Summary: This study applied the FAHP approach to identify strategies for attracting investment capital in Hai Duong Province, Vietnam, determining the weight of main criteria and subcriteria. The empirical results highlighted the importance of state support policies and tax exemptions, suggesting strategies to increase investment capital in industrial parks.
ENGINEERING LETTERS
(2021)
Article
Green & Sustainable Science & Technology
Pasura Aungkulanon, Walailak Atthirawong, Pongchanun Luangpaiboon
Summary: In response to the climate crisis in urban areas caused by the logistics sector, governments around the world are encouraging the adoption of electric vehicles (EVs) to reduce pollution, fossil fuel use, and improve air quality. However, the adoption of EVs varies across markets. This study uses the FAHP to rank barriers to EV adoption in Thailand, with infrastructure policy being the biggest barrier. Insufficient charging infrastructure, lack of government support, and high capital cost are key barriers. Decision-making systems are developed to assist executives in addressing these barriers and formulating market strategies.
Article
Energy & Fuels
Hao Lu, Lei Zhao, Xuejie Wang, Huiru Zhao, Jiangjiang Wang, Bingkang Li
Summary: This paper proposes an integrated fuzzy-GMCDM method for assessing the applicability of different energy storage systems in various scenarios. The method uses a comprehensive performance assessment index system, determines optimal weights, and considers decision-makers' risk preferences to optimize energy storage selection and ranking. The results show that this method provides decision-makers with optimal solutions for different scenarios such as renewable energy consumption and ancillary services.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Computer Science, Artificial Intelligence
Salvatore Corrente, Menelaos Tasiou
Summary: This paper introduces an extension of TOPSIS method by introducing a normalization technique based on simulations to consider non-monotonic preferences and qualitative criteria, and integrating Multiple Criteria Hierarchy Process. The new method also uses Stochastic Multicriteria Acceptability Analysis to address robustness concerns.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Agronomy
Sahar Akhavan, Ahmad Jalalian, Norair Toomanian, Naser Honarjo
Summary: In this study, the qualitative assessment of land suitability for irrigated wheat crop was conducted using fuzzy and parametric hierarchical analysis process models. The results showed that fuzzy analytical hierarchy process is an effective strategy to improve the accuracy of land suitability analysis.
COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS
(2023)
Article
Computer Science, Artificial Intelligence
Jian Li, Jianping Ye, Li-li Niu, Qiongxia Chen, Zhong-xing Wang
Summary: This paper develops decision-making models that take into account decision makers' satisfaction degree by defining consistency measures and utilizing additive and multiplicative consistency measures. The objective of these models is to maximize the parameter of satisfaction degree and obtain weights through a quadratic programming model.
Article
Mathematics
Umut Asan, Ayberk Soyer
Summary: Asynchronous Video Interviewing (AVI) with AI-based technologies automates screening, assessing, and selecting candidates, addressing complex and subjective criteria. The proposed approach combines Cumulative Belief Structures with the Weighted Bonferroni-OWA operator to aggregate assessment scores, incorporate interrelationships, consider learning algorithm accuracies as weights, and weight criteria objectively, ensuring a data-driven and efficient selection process.
Article
Computer Science, Interdisciplinary Applications
Xiao-Hong Pan, Ying-Ming Wang, Shi-Fan He
Summary: This paper proposes a new multicriteria risk decision-making method based on interval type-2 fuzzy sets (IT2FSs) and regret theory to address renewable energy investment problems under uncertain environment. The uncertainty of real-world situation is described using IT2FSs, and a new model is introduced to measure relationships between alternatives. The regret theory is extended to select the optimal alternative under risk and uncertainty environment.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Mathematics, Applied
Kamala Aliyeva, Aida Aliyeva, Rashad Aliyev, Mustafa Ozdeser
Summary: Investment management is a common practice used to achieve desired investment goals. This article discusses the use of fuzzy simple additive weighting method in group decision-making for investment expenditure. A numerical example is provided to demonstrate the importance and effectiveness of this approach in ranking alternatives and determining the preferred option in investment decision-making.
Article
Green & Sustainable Science & Technology
Proshikshya Mukherjee, Prasant Kumar Pattnaik, Ahmed Abdulhakim Al-Absi, Dae-Ki Kang
Summary: Cluster is an energy-efficient routing algorithm in a sensor cloud environment, and using the fuzzy multi-criteria decision-making technique along with setting a threshold for cluster head selection can improve stability, energy consumption, throughput, and control overhead.
Article
Green & Sustainable Science & Technology
Alberto D. Davila-Lamas, Jose J. Carbajal-Hernandez, Luis P. Sanchez-Fernandez, Virginia B. Niebla-Zatarain, Cesar A. Hoil-Rosas
Summary: This study evaluates the safety conditions of tourist beaches by considering parameters such as tidal height, bathymetry, temperature, solar radiation, and wind speed using a fuzzy logic approach. It also presents a computational model based on fuzzy analytical hierarchy process (FAHP) to continuously monitor coastal and climatological parameters related to tourist safety. The model is applied to assess several tourist beaches in South Baja California, Mexico, providing safety scenarios and contrasting results between sites.
Article
Energy & Fuels
Mohammad Alipour, Rodney A. Stewart, Oz Sahin
Summary: Understanding the residential adoption decision of battery energy storage systems (BESSs) is crucial for successful intervention policies. With the widespread acceptance of residential solar photovoltaics (PV), modeling behavior becomes more complex. The uptake pathway of BESS and PV-BESS is likely to exhibit similar attitudinal traits to that of PV consumption.
Article
Thermodynamics
Reza Hafezi, AmirNaser Akhavan, Saeed Pakseresht, David A. Wood
Summary: The Learning Scenario Development Model (LSDM) combines qualitative and quantitative elements to forecast global natural gas demand to 2025, generating different scenarios through five phases. Results indicate a gentle uptrend in global natural gas demand for reference case, with alternative scenarios showing continued growth at varying rates.
Article
Engineering, Biomedical
Saeed Alighaleh, Leo K. Cheng, Timothy R. Angeli-Gordon, Zahra Aghababaie, Gregory O'Grady, Niranchan Paskaranandavadivel
Summary: The study developed new flexible surface-contact pacing electrodes (SPE) for gastric pacing and simultaneous mapping of slow-wave activity. Results showed that SPE had a higher rate of entrainment and lower entrainment threshold compared to temporary cardiac pacing electrodes (CPE), but had lower tissue lead contact quality over time.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2021)
Review
Energy & Fuels
Sara Ghaboulian Zare, Reza Hafezi, Mohammad Alipour, Reza Parsaei Tabar, Rodney A. Stewart
Summary: The study explores the decision-making process of households in adopting solar water heater (SWH), revealing the significant roles played by economic and technical predictors in this process. Economic predictors such as 'financial incentives' and 'perceived attitude towards government policies' have been found to influence the adoption of SWH. Furthermore, certain attitudinal attributes were shown to have a stronger impact on residential SWH adoption than common factors such as electricity cost and technical variables.
Article
Thermodynamics
Sara Ghaboulian Zare, Mohammad Alipour, Mehdi Hafezi, Rodney A. Stewart, Anisur Rahman
Summary: Long-term sustainable wind energy deployment faces challenges due to complex impediment factors. This study explores scenarios of wind energy deployment in Iran using Fuzzy Cognitive Maps, identifying key factors such as economic and political concepts that contribute to system stability. Deployment may accelerate, remain stable, or slow down in the future.
Article
Green & Sustainable Science & Technology
M. Alipour, Elnaz Irannezhad, Rodney A. Stewart, Oz Sahin
Summary: This study examines the adoption decisions of home batteries and PV systems in South East Queensland, Australia. The findings indicate that early and late adopters of PV, as well as non-adopters, have similar sociodemographic attributes, while battery users represent the characteristics of innovators. Lower electricity bills and interest in the system are critical factors in PV adoption, while system cost is the main barrier. Financial factors drive battery adoption, but non-economic factors play a larger role for those who have already adopted the storage system.
Article
Regional & Urban Planning
Reza Hafezi, Pardis Asemi
Summary: The COVID-19 pandemic has had a significant impact on human society, leading to minimal or even negative economic growth in many countries. This paper aims to explore alternative futures where nations, businesses, and societies can change their routines and work towards a better and more peaceful future. The study analyzes trends and uncertainties that emerged after the pandemic, and uses the Global Business Network methodology to shape scenarios for different possible futures. The main uncertainties arise from perspectives on globalization, value creation, and governance, and different scenarios are formed by intersecting these uncertainties. The paper introduces the most favorable scenario and proposes strategies for achieving a better future.
Article
Energy & Fuels
Mohammad Alipour, Firouzeh Taghikhah, Elnaz Irannezhad, Rodney A. Stewart, Oz Sahin
Summary: This study explores the relationship between the acceptance of residential rooftop solar PV systems and the adoption of home battery energy storage systems. It finds that the past behavior of PV systems can influence the decision to adopt battery systems, leading to attitudinal changes such as regret or despair. The study also suggests that perceived attitudes towards financial and nonfinancial benefits play a key role in attitude change. Failure to recognize these dynamics may lead to late adoption or rejection of battery systems.
Article
Thermodynamics
Amirhossein Souhankar, Ahmad Mortezaee, Reza Hafezi
Summary: Energy demand growth will have a significant impact on energy markets and human lives. Decision-makers need to take appropriate measures to address energy shortages and environmental issues. This study uses Iran as a case study to identify potential energy-saving capacities by improving efficiency and prioritizing key policies in supply and demand management.
Article
Economics
Behrooz Shahmoradi, Reza Hafezi, Payam Chiniforooshan
Summary: This study proposes a scenario-based economic complexity analyzing methodology to manage national industrial development in the face of uncertainties. By evaluating opportunity gain and product complexity indexes, and developing future scenarios, a robust policy can be formulated to reduce failure risks and ensure development success.
JOURNAL OF THE KNOWLEDGE ECONOMY
(2023)
Article
Regional & Urban Planning
Reza Hafezi, Hossein Heirani, Mohammadreza Akbari, Ahmad Mortezaee, Naser Bagherimoghaddam, Hamid Heydari, Amirhossein Souhankar
Summary: This study aims to develop an appropriate approach for Iran's energy sector and uses a new participatory scenario development method with simulations based on expert judgments. The results show that sanctions play a significant role in Iran's energy future and determine the directions of other driving forces. It is suggested to increase the renewable share in Iran's electricity generation mix to 5% and propose a maximum efficient rate for fossil fuel extraction.
Article
Environmental Sciences
Reza Hafezi, David A. Wood, Mohammad Alipour, Firouzeh Rosa Taghikhah
Summary: The balancing of energy and water supply-demand is a challenging issue. This study investigates the nexus between water and power at global and national levels, with a focus on Iran, to assess real-world influences and potential outcomes. The research proposes a model to develop and evaluate plausible futures within a 10-year planning horizon, considering uncertainties and expert inputs. Findings reveal the likelihood of an energy transition on a global scale, but a gradual decrease in water intensity.
ENVIRONMENTAL SCIENCE & POLICY
(2023)
Review
Environmental Studies
M. Alipour, Sara Ghaboulian Zare, Firouzeh Taghikhah, Reza Hafezi
Summary: In the past decade, solar system analyses have expanded globally as communities adopt solar water heaters (SWH) due to environmental concerns and decreasing technology costs. The adoption of SWHs in residential areas is greatly influenced by households' bounded rational choices and various behavioral predictors. This study reviewed relevant academic articles and identified 121 predictors, including sociodemographic and individual factors, which can impact the diffusion of residential SWHs. The findings revealed that demographic and environmental values were the most influential predictors in decision-making, and factors such as income, education, environmental concerns, and emission reduction played crucial roles in system adoption.
ENERGY RESEARCH & SOCIAL SCIENCE
(2023)
Proceedings Paper
Engineering, Biomedical
Chad E. Eichler, Leo K. Cheng, Niranchan Paskaranandavadivel, Saeed Alighaleh, Timothy R. Angeli-Gordon, Peng Du, Leonard A. Bradshaw, Recep Avci
Summary: This study demonstrated the feasibility of using magnetic source localization to reconstruct the anatomy of a realistic 3D stomach model, showing that it can successfully aid in diagnosing gastric motility disorders.
2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC)
(2021)
Article
Regional & Urban Planning
Reza Hafezi, Ahmad Borumand Kakhki, Maziar Attari, Zohreh Besharati Rad, Ashraf Sadat Pasandideh
Summary: This study investigates the development of microturbine technology in Iran using a technology foresight methodology, aiming to create plausible scenarios for policymakers based on different driving forces and uncertainties. The research proposes a systematic method for selecting appropriate foresight methodologies and developing scenarios to support the policy-making process in Iran.
Article
Thermodynamics
Yong Cheng, Fukai Song, Lei Fu, Saishuai Dai, Zhiming Yuan, Atilla Incecik
Summary: This paper investigates the accessibility of wave energy absorption by a dual-pontoon floating breakwater integrated with hybrid-type wave energy converters (WECs) and proposes a hydraulic-pneumatic complementary energy extraction method. The performance of the system is validated through experiments and comparative analysis.
Article
Thermodynamics
Jing Gao, Chao Wang, Zhanwu Wang, Jin Lin, Runkai Zhang, Xin Wu, Guangyin Xu, Zhenfeng Wang
Summary: This study aims to establish a new integrated method for biomass cogeneration project site selection, with a focus on the application of the model in Henan Province. By integrating Geographic Information System and Multiple Criterion Decision Making methods, the study conducts site selection in two stages, providing a theoretical reference for the construction of biomass cogeneration projects.
Article
Thermodynamics
Mert Temiz, Ibrahim Dincer
Summary: The current study presents a hybrid small modular nuclear reactor and solar-based system for sustainable communities, integrating floating and bifacial photovoltaic arrays with a small modular reactor. The system efficiently generates power, hydrogen, ammonia, freshwater, and heat for residential, agricultural, and aquaculture facilities. Thermodynamic analysis shows high energy and exergy efficiencies, as well as large-scale ammonia production meeting the needs of metropolitan areas. The hybridization of nuclear and solar technologies offers advantages of reliability, environmental friendliness, and cost efficiency compared to renewable-alone and fossil-based systems.
Editorial Material
Thermodynamics
Wojciech Stanek, Wojciech Adamczyk
Article
Thermodynamics
Desheng Xu, Yanfeng Li, Tianmei Du, Hua Zhong, Youbo Huang, Lei Li, Xiangling Duanmu
Summary: This study investigates the optimization of hybrid mechanical-natural ventilation for smoke control in complex metro stations. The results show that atrium fires are more significantly impacted by outdoor temperature variations compared to concourse/platform fires. The gathered high-temperature smoke inside the atrium can reach up to 900 K under a 5 MW train fire energy release. The findings provide crucial engineering insights into integrating weather data and adaptable ventilation protocols for smoke prevention/mitigation.
Article
Thermodynamics
Da Guo, Heping Xie, Mingzhong Gao, Jianan Li, Zhiqiang He, Ling Chen, Cong Li, Le Zhao, Dingming Wang, Yiwei Zhang, Xin Fang, Guikang Liu, Zhongya Zhou, Lin Dai
Summary: This study proposes a new in-situ pressure-preserved coring tool and elaborates its pressure-preserving mechanism. The experimental and field test results demonstrate that this tool has a high pressure-preservation capability and can maintain a stable pressure in deep wells. This study provides a theoretical framework and design standards for the development of similar technologies.
Article
Thermodynamics
Aolin Lai, Qunwei Wang
Summary: This study assesses the impact of China's de-capacity policy on renewable energy development efficiency (REDE) using the Global-MSBM model and the difference-in-differences method. The findings indicate that the policy significantly enhances REDE, promoting technological advancements and marketization. Moreover, regions with stricter environmental regulations experience a higher impact.
Article
Thermodynamics
Mostafa Ghasemi, Hegazy Rezk
Summary: This study utilizes fuzzy modeling and optimization to enhance the performance of microbial fuel cells (MFCs). By simulating and analyzing experimental data sets, the ideal parameter values for increasing power density, COD elimination, and coulombic efficiency were determined. The results demonstrate that the fuzzy model and optimization methods can significantly improve the performance of MFCs.
Article
Thermodynamics
Zhang Ruan, Lianzhong Huang, Kai Wang, Ranqi Ma, Zhongyi Wang, Rui Zhang, Haoyang Zhao, Cong Wang
Summary: This paper proposes a grey box model for fuel consumption prediction of wing-diesel hybrid vessels based on feature construction. By using both parallel and series grey box modeling methods and six machine learning algorithms, twelve combinations of prediction models are established. A feature construction method based on the aerodynamic performance of the wing and the energy relationship of the hybrid system is introduced. The best combination is obtained by considering the root mean square error, and it shows improved accuracy compared to the white box model. The proposed grey box model can accurately predict the daily fuel consumption of wing-diesel hybrid vessels, contributing to operational optimization and the greenization and decarbonization of the shipping industry.
Article
Thermodynamics
Huayi Chang, Nico Heerink, Junbiao Zhang, Ke He
Summary: This study examines the interaction between off-farm employment decisions between couples and household clean energy consumption in rural China, and finds that two-paycheck households are more likely to consume clean energy. The off-farm employment of women is a key factor driving household clean energy consumption to a higher level, with wage-employed wives having a stronger influence on these decisions than self-employed ones.
Article
Thermodynamics
Hanguan Wen, Xiufeng Liu, Ming Yang, Bo Lei, Xu Cheng, Zhe Chen
Summary: Demand-side management is crucial to smart energy systems. This paper proposes a data-driven approach to understand the relationship between energy consumption patterns and household characteristics for better DSM services. The proposed method uses a clustering algorithm to generate optimal customer groups for DSM and a deep learning model for training. The model can predict the possibility of DSM membership for a given household. The results demonstrate the usefulness of weekly energy consumption data and household socio-demographic information for distinguishing consumer groups and the potential for targeted DSM strategies.
Article
Thermodynamics
Xinglan Hou, Xiuping Zhong, Shuaishuai Nie, Yafei Wang, Guigang Tu, Yingrui Ma, Kunyan Liu, Chen Chen
Summary: This study explores the feasibility of utilizing a multi-level horizontal branch well heat recovery system in the Qiabuqia geothermal field. The research systematically investigates the effects of various engineering parameters on production temperature, establishes mathematical models to describe their relationships, and evaluates the economic viability of the system. The findings demonstrate the significant economic feasibility of the multi-level branch well system.
Article
Thermodynamics
Longxin Zhang, Songtao Wang, Site Hu
Summary: This investigation reveals the influence of tip leakage flow on the modern transonic rotor and finds that the increase of tip clearance size leads to a decline in rotor performance. However, an optimal tip clearance size can extend the rotor's stall margin.
Article
Thermodynamics
Kristian Gjoka, Behzad Rismanchi, Robert H. Crawford
Summary: This paper proposes a framework for assessing the performance of 5GDHC systems and demonstrates it through a case study in a university campus in Melbourne, Australia. The results show that 5GDHC systems are a cost-effective and environmentally viable solution in mild climates, and their successful implementation in Australia can create new market opportunities and potential adoption in other countries with similar climatic conditions.
Article
Thermodynamics
Jianwei Li, Guotai Wang, Panpan Yang, Yongshuang Wen, Leian Zhang, Rujun Song, Chengwei Hou
Summary: This study proposes an orientation-adaptive electromagnetic energy harvester by introducing a rotatable bluff body, which allows for self-regulation to cater for changing wind flow direction. Experimental results show that the output power of the energy harvester can be greatly enhanced with increased rotatory inertia of the rotating bluff body, providing a promising solution for harnessing wind-induced vibration energy.
