Article
Green & Sustainable Science & Technology
Wenqiang Li, Guangcai Gong, Hongyuan Jia, Zhongjun Ren, Adrian Chong
Summary: Flexible options are important in climate change mitigation strategies due to the high uncertainty. However, real options analysis is seldom used in building-scale investment decisions. This study proposes a decision-making framework based on real options analysis to address this research gap. The results show that climate change uncertainty does not significantly affect the optimal investment strategies, but increasing the discount rate advances the optimal investment time. The proposed framework provides guidance for mitigation strategies and offers more flexibility for investors.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Energy & Fuels
B. C. Anilkumar, Ranjith Maniyeri, S. Anish
Summary: This study aims to select the optimal phase change material (PCM) for solar box cookers by using multi-criteria decision-making methods and optimization algorithms, ultimately determining erythritol as the best choice. The computational procedure and iterative solver were used to calculate that erythritol requires less quantity compared to other PCMs, demonstrating good agreement with experimental studies.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Environmental Sciences
G. Harik, Ibrahim Alameddine, R. Zurayk, M. El-Fadel
Summary: A spatio-temporal Agent Based Modeling (ABM) framework is developed to probabilistically predict farmers' decisions concerning their future farming practices when faced with potential water scarcity induced by future climate change. The proposed framework forecasts farmers' behavior assuming varying utility functions and successfully captures the actions and interactions between farmers and their environment. Including social factors in the model significantly improves the accuracy of predicting farmers' decisions.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Review
Green & Sustainable Science & Technology
Gurdeep Singh Malhi, Manpreet Kaur, Prashant Kaushik
Summary: Climate change, driven by greenhouse gas emissions, poses a global threat to food and nutritional security. Despite the positive effects of increased CO2 concentration on plant growth and productivity, the rising temperatures have negative impacts on crop activities, pest infestation, and weed flora. Mitigation strategies are necessary to address the economic impact of climate change on agriculture.
Article
Economics
Muhammet Deveci, Dragan Pamucar, Ilgin Gokasar, Mehtap Isik, D'Maris Coffman
Summary: The challenges of biodiversity loss and climate change require public authorities to transform their traditional policies for climate action through urban mobility planning. This study examines how societal dynamics should be taken into account in developing an optimal action plan and how the actions taken can reshape societal dynamics.
STRUCTURAL CHANGE AND ECONOMIC DYNAMICS
(2022)
Article
Environmental Sciences
Akpe Agbossou, Jeremie Kokou Fontodji, Koffi Ayassou, Sanonka Tchegueni, Kossi Novinyo Segla, Kossi Adjonou, Yao Bokovi, Ayite-Lo Ajayon, Aniko Polo-Akpisso, Johan C. Kuylenstierna, Christopher S. Malley, Eleni Michalopoulou, Jessica Slater
Summary: Togo, a country in West Africa, is vulnerable to the impacts of climate change but has made a negligible contribution to causing it. By ratifying the Paris Agreement and submitting its Nationally Determined Contributions, Togo has acknowledged the importance of mitigating climate change while improving air quality and health for its citizens. An assessment of priority mitigation measures suggests that Togo can reduce greenhouse gas emissions by 20% and achieve a more than 75% reduction in black carbon emissions by implementing these measures.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Tek B. Sapkota, Fahmida Khanam, Gokul Prasad Mathivanan, Sylvia Vetter, Sk Ghulam Hussain, Anne-Laure Pilat, Sumona Shahrin, Md Khaled Hossain, Nathu Ram Sarker, Timothy J. Krupnik
Summary: Climate change has significant implications for agricultural systems, with adaptation being a priority. Cost-effective mitigation options in agriculture not only contribute to food security, but also reduce the extent of climate change and future adaptation needs. By analyzing GHG emissions in crop and livestock production and identifying mitigation measures, there is potential for significant reduction in emissions through climate-smart agricultural techniques.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Angelo Carlino, Massimo Tavoni, Andrea Castelletti
Summary: Research shows that integrating multi-objective optimization and feedback control into the Dynamic Integrated Climate Economy model can design self-adaptive climate policies that balance welfare maximization with compliance to the Paris Agreement. These policies allow for adjustments based on accumulating information about the socio-climatic system, resulting in reduced warming above 2 degrees C and the probability of overshooting.
Article
Green & Sustainable Science & Technology
D. Liliana Gonzalez-Hernandez, Raul A. Aguirre-Gamboa, Erik W. Meijles
Summary: Household-level mitigation actions are influenced by sociodemographic characteristics and climate change perceptions. Proper support should be provided by governments to achieve emission reduction goals.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Environmental Studies
Tahmineh Ladi, Shaghayegh Jabalameli, Ayyoob Sharifi
Summary: This study explores the most popular machine learning (ML) and deep learning (DL) methods applied in climate change mitigation and adaptation, and identifies common mitigation and adaptation measures through word frequency analysis and topic modeling. The results reveal that Artificial Neural Network is the most popular ML technique, and geoengineering and land surface temperature are the areas that have utilized ML and DL algorithms the most in relation to climate change.
ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
(2022)
Article
Operations Research & Management Science
Esther Jose, Puneet Agarwal, Jun Zhuang, Jose Swaminathan
Summary: The Indian Railways is India's largest employer and plays a significant role in the country's transportation network, economy, and social and cultural systems. Evaluating the performance of railway networks is crucial for improvement, and this study introduces a novel evaluation method, finding that the Southern Railway zone performs the best.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Urban Studies
Fei Ye, Yingying Chen, Lixu Li, Yina Li, Ying Yin
Summary: This study develops a new smart city index system that includes digital infrastructure, smart living, and digital economy dimensions. The objective evaluation process combines the Shannon entropy weighting method with three multi-criteria decision-making methods. Analysis of data from nine cities in the Pearl River Delta region shows that digital infrastructure is the most important indicator, followed by digital economy and smart life. The findings enrich the components and evaluation methods of the smart city index system and provide guidance for decision-makers in formulating smart city construction plans.
Article
Management
Dowon Kim, Heelang Ryu, Jiwoong Lee, Kyoung-Kuk Kim
Summary: The study focuses on optimal expansion planning for generation capacity, taking into account the risk characteristics of different energy sources. It examines long-term capacity expansion planning to achieve carbon emissions reduction targets under various risk measures. The research highlights the significant and combined effects of operational flexibility, emissions reduction, and extreme risks based on numerical experiments using data from South Korea.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Thermodynamics
Claude Ziad El-Bayeh, Khaled Alzaareer, Brahim Brahmi, Mohamed Zellagui, Ursula Eicker
Summary: This paper proposes an original multi-criteria decision-making algorithm based on Rank-Weight-Rank concept for selecting the best solar panels. Compared to TOPSIS method, our approach demonstrates advantages in terms of simulation time and selection accuracy.
Article
Chemistry, Multidisciplinary
Aiman Mazhar Qureshi, Ahmed Rachid
Summary: Decision making is the process of choosing alternatives based on organized information and evaluation. MCDMs can enhance the reliability of decision making in complex engineering fields. This study applied various MCDMs to select urban heat mitigation measurements and evaluated their reliability using different normalization techniques. The results indicate that the weighted sum method and PROMETHEE provide consistent and reliable results across all normalization techniques.
APPLIED SCIENCES-BASEL
(2022)
Article
Environmental Sciences
Abdulrahman H. Ba-Alawi, Jorge Loy-Benitez, SangYun Kim, ChangKyoo Yoo
Summary: This study proposed a framework based on VAE and ResNet for missing data imputation and automatic fault detection of WWTP sensors, aiming to increase the reliability of faulty sensors by automatically extracting complex features and outperforming other methods in performance.
Article
Thermodynamics
Soonho Hwangbo, SungKu Heo, ChangKyoo Yoo
Summary: This study developed a mathematical model of electricity based on renewable energy and large-scale utility networks, with a focus on the petrochemical industry in South Korea through techno-economic and environmental assessment. The proposed model consists of a deterministic model and a stochastic model, optimizing utility networks and constructing clean electricity networks, while considering carbon capture and storage systems to reduce greenhouse gas emissions.
Article
Energy & Fuels
Juin Yau Lim, Adrian Chun Minh Loy, Hatem Alhazmi, Bridgid Chin Lai Fui, Kin Wai Cheah, Martin J. Taylor, Georgios Kyriakou, Chang Kyoo Yoo
Summary: The catalytic dry reforming process was studied using a novel framework for determining optimal reaction configurations and pathways. Machine learning was used to analyze the impact of various parameters on the process, leading to the identification of best conditions for different hydrocarbons on Pt(111) and Ni(111) surfaces. Additionally, the energy profile of selective reaction pathways and activation energy for bond dissociation were analyzed, revealing lower Ea on Pt(111) compared to other surfaces.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Taeyong Woo, Amir Saman Tayerani Charmchi, Pouya Ifaei, SungKu Heo, KiJeon Nam, ChangKyoo Yoo
Summary: This study designs an energy self-sufficient network of wastewater treatment plants on Jeju Island, South Korea, using a systematic platform of four novel techniques. Three self-sufficient designs are proposed, including biogas-fed combined heat and power plants coupled with wastewater treatment plants, solar-powered wastewater treatment plants, and hybrid combined heat and power plants retrofitted with photovoltaic systems. The solar-powered scenarios have lower environmental impacts and greater social benefits but are more expensive.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Thermodynamics
Pouya Ifaei, Morteza Nazari-Heris, Amir Saman Tayerani Charmchi, Somayeh Asadi, ChangKyoo Yoo
Summary: In alignment with the rapid development of artificial intelligence, machine learning is being widely applied in various engineering fields. This review emphasizes the importance of using machine learning techniques in renewable and sustainable energies, and provides a comprehensive overview of the major applications and remaining challenges. It is anticipated that the rapid application of machine learning tools will speed up the development of sustainable energies in the next decade.
Article
Chemistry, Multidisciplinary
Bahareh Esteki, Mahmood Masoomi, Mohammad Moosazadeh, ChangKyoo Yoo
Summary: Using machine-learning algorithms and XAI analysis, we developed a model based on a 200-instance data set to predict particle morphology. The study reveals that the morphology of Janus particles prepared by solvent evaporation-induced phase separation is influenced by solvent solubility, polymer cohesive energy difference, and blend composition. Feature values that strongly favor a given morphology can be selected to create Janus or core-shell particles.
Article
Construction & Building Technology
Shahzeb Tariq, Shahroz Tariq, SangYoun Kim, Simon S. Woo, ChangKyoo Yoo
Summary: The robust air quality early warning systems for sustainable development of cities have received significant attention due to their ability to provide health risk warnings and regulatory plans. However, the current frameworks have limitations in terms of forecasting at new areas and long-term sensor failure. In this study, a distance adaptive graph convolutional gated network is proposed to address these issues and provide simultaneous forecasts of primary air pollutants in a megacity.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Construction & Building Technology
Shahzeb Tariq, Jorge Loy-Benitez, Changkyoo Yoo
Summary: The rise in passenger traffic within underground subway stations has raised concerns about indoor air quality. This study proposes a new method for early warning systems that combines a gated probabilistic transformer framework with a genetic algorithm, aiming to improve control and ventilation of PM2.5 in underground environments. Performance evaluation shows that this method outperforms traditional methods in terms of prediction accuracy and coverage probability.
BUILDING AND ENVIRONMENT
(2023)
Article
Thermodynamics
Sangyoun Kim, Sungku Heo, Kijeon Nam, Taeyong Woo, Changkyoo Yoo
Summary: This study developed a flexible renewable energy distribution planning method based on an artificial intelligence driven spatiotemporal renewable energy prediction model. The proposed method achieved the maximization of renewable energy potential and reduction in greenhouse gas emissions and climate change vulnerability through a multi-objective genetic algorithm.
Article
Thermodynamics
Mohammad Moosazadeh, Shahzeb Tariq, Usman Safder, ChangKyoo Yoo
Summary: This study investigates the performance of a hybrid solar thermal membrane-based multigeneration system for generating power, cooling, heating, and water. The results show that the allocation of R113 in the system yielded the highest energy efficiency and lowest environmental impact. Additionally, the utilization of rejected water-ammonia achieved reasonable power density and water flux. The sustainability analysis revealed that the proposed system obtains a sustainability index greater than that of fossil fuel-based power generation systems.
Article
Thermodynamics
Abdulrahman H. Ba-Alawi, Hai-Tra Nguyen, ChangKyoo Yoo
Summary: This study proposes a coordinated sizing approach that integrates demand-side water management into the sizing optimization of a renewable energy-driven desalination system. It can significantly reduce costs, meet demands, and improve sustainability.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Review
Green & Sustainable Science & Technology
Pouya Ifaei, Atefeh Tamaskani Esfehankalateh, Fatemeh Ghobadi, Behnam Mohammadi-Ivatloo, ChangKyoo Yoo
Summary: In recent decades, extensive research has been conducted to optimize sustainable energy, focusing on technical performance, economic profitability, and social acceptance. However, there has been limited systematic review of the most popular heuristic algorithms in this field. This study developed a Boolean logic-based program to investigate the applications of heuristic solvers in sustainable energy and explore the factors contributing to their success.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Environmental Sciences
Jorge Loy-Benitez, Shahzeb Tariq, Hai Tra Nguyen, SungKu Heo, ChangKyoo Yoo
Summary: To address the issue of sludge bulking in wastewater treatment plants, we propose a novel graph-based monitoring framework that utilizes advanced techniques to detect and diagnose sludge bulking events. The framework extracts pertinent features and causal relationships from historical datasets, allowing operators to trigger alarms and identify the root cause.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Environmental Sciences
Dileep Kumar, Usman Safder, Waqas Ahmed Pathan, Kamran Ansari
Summary: This study provides a detailed investigation into water security using socio-hydrological analysis, focusing on the relationship between irrigation entitlements and actual water delivery. The research reveals the presence of stagnation and volatility in the overall equity and reliability of the system, with irrigation equity being worse in the winter and summer.
Article
Environmental Sciences
Juin Yau Lim, Sin Yong Teng, Bing Shen How, Adrian Chun Minh Loy, Sungku Heo, Jeroen Jansen, Pau Loke Show, Chang Kyoo Yoo
Summary: This study evaluates the air pollutant control system of a coal-powered plant and proposes an upgraded configuration. Untreated flue gas is reconstructed using a variational autoencoder based on a year-long dataset collected from the plant's telemonitoring system. A superstructure model with different technology options is developed to treat NOx, SOx, and particulate matter. An artificial intelligence model is used to identify the most sustainable configuration, which includes reburning, desulfurization with seawater, and dry electrostatic precipitator, fulfilling economic, environmental, and reliability targets. The proposed system is evaluated through a Monte Carlo simulation for various scenarios with tightened discharge limits, resulting in a total annual cost of 44.1 x 106 USD/year, an environmental quality index of 0.67, and reliability indices of 0.87.
ENVIRONMENTAL POLLUTION
(2023)
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.