Article
Construction & Building Technology
Oguz Arslan, Asli Ergenekon Arslan, Irfan Kurtbas
Summary: In this study, a new geothermal district heating system with a heat pump driven by thermal energy storage was optimized using efficiency analysis technique. The objective functions were chosen as exergoeconomic and exergoenvironmental indicators. Case 108 with R1234ze refrigerant and RT70HC PCM was determined as the best design, achieving a decrease of 38.86% in relative exergoeconomic cost and 19.21% in relative exergoenvironmental impact compared to conventional systems.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
Mohammad Nasr Esfahani, Abolfazl Hajizadeh Aghdam, Amirhossein Refahi
Summary: In this research, the performance of a PTC for different months in Tehran was analyzed using Energy, exergy, exergoeconomic, and exergoenvironmental analyzes. Results showed that PTC had the highest energy efficiency in July and the highest exergy efficiency in January. The sensitivity analysis indicated that improving solar radiation intensity, decreasing ambient temperature, and wind speed can enhance the performance of PTC.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Thermodynamics
J. Nondy, T. K. Gogoi
Summary: This study compares four different ORC configurations and finds that, under optimal conditions, the RR-ORC outperforms the other three configurations. The Regenerative and Recuperative ORCs are ranked as the second and third-best configurations. In all four configurations, the cost rate of exergy loss accounts for approximately 60% of the total system cost rate.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Thermodynamics
Ruxing Gao, Lei Wang, Leiyu Zhang, Chundong Zhang, Ki-Won Jun, Seok Ki Kim, Tiansheng Zhao, Hui Wan, Guofeng Guan, Yuezhao Zhu
Summary: CO2-to-DME technology is a worthy solution for waste CO2 upcycling and green DME production. Systematic assessment and comparison of different CTD routes is important to identify the most sustainable technologies for further development and improvement.
Article
Thermodynamics
Zhenhua Fang, Zhen Pan, Guiyang Ma, Jingxian Yu, Liyan Shang, Zhien Zhang
Summary: This paper designs and investigates a novel combined cooling, heating, and power (CCHP) system that effectively utilizes liquefied natural gas (LNG) cold energy and waste heat of exhaust gas. The study analyzes the impact of various parameters on the system performance and employs optimization algorithms to find the optimal operating conditions. The results show that PSO outperforms NSGA-II in multi-objective optimization of the CCHP system, achieving an exergy efficiency of 70.20%, a product unit cost of 21.50 $/GJ, and a product unit environmental impact of 57.91 mPts/GJ.
Article
Thermodynamics
Ying Chen, Yuxuan Liu, Eun-Young Nam, Yang Zhang, Aida Dahlak
Summary: The study proposes a double-flash geothermal system with a dual-pressure organic Rankine cycle utilizing zeotropic mixtures for efficient and sustainable geothermal energy harnessing. The system's performance is evaluated using exergy, exergoeconomic, and exergoenvironmental approaches. Results show that the designed system can produce a net power output of 6336.04 kW with an exergetic efficiency of 66.70%. The payback period is estimated to be 3.48 years, indicating economic viability. Through triple-objective optimization, the best optimum state is determined with an exergetic efficiency of 66.96%, exergoenvironmental impacts of 3017.82 mPts/h, and a payback period of 3.38 years. This state yields a revenue of 11.1 M$. Overall, the study highlights the potential of the proposed system for sustainable power generation.
Review
Green & Sustainable Science & Technology
Hussein Mohammed Ridha, Chandima Gomes, Hashim Hizam, Masoud Ahmadipour, Ali Asghar Heidari, Huiling Chen
Summary: Standalone photovoltaic systems are considered promising and rapidly developing renewable energy sources due to their noise-free, easily available, and low-cost nature, particularly for remote areas. However, these systems have drawbacks of low energy conversion efficiency and high capital costs. This paper aims to review recent developments in designing SAPV systems using multi-objective optimization and multi-criteria decision-making methodologies, including mathematical models for estimating the output power of PV modules and storage batteries. Additionally, the techno-economic criteria for evaluating SAPV system performance are discussed to assist designers and customers in selecting the most suitable design before installation.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Computer Science, Information Systems
Kai Zhang, Chaonan Shen, Juanjuan He, Gary G. Yen
Summary: The proposed MMO-EvoKnee algorithm incorporates MCDM strategy to efficiently search for a complete set of global knee solutions for MMOPs. It outperforms existing state-of-the-art MMOEAs and provides decision makers with well-converged alternative solutions.
INFORMATION SCIENCES
(2021)
Article
Business
Qun Wu, Xinwang Liu, Jindong Qin, Ligang Zhou, Abbas Mardani, Muhammet Deveci
Summary: This paper aims to develop a hybrid SRI portfolio selection model using multi-criteria decision making and multi-objective optimization techniques. A case study on medical stock investment is conducted to demonstrate the robustness, effectiveness, and superiority of the proposed methodology.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(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
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
Thermodynamics
Hamed Kamali, Mehdi Mehrpooya, Seyed Hamed Mousavi, Mohammad Reza Ganjali
Summary: This work presents a thermally regenerative electrochemical refrigerator model based on finite-time analysis. The system is analyzed in different temperature ranges, and sensitivity analysis is performed. A multi-objective genetic algorithm is used to optimize the system parameters, and the optimum values for cooling capacity and coefficient of performance are obtained. This study is significant for the lab-scale design of thermally regenerative electrochemical refrigerators.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Energy & Fuels
Nuh Erdogan, Dragan Pamucar, Sadik Kucuksari, Muhammet Deveci
Summary: This study introduces a new integrated multi-objective optimization and multi-criteria decision-making (MCDM) model to determine the most suitable electric vehicle supply equipment (EVSE) configuration at workplaces. By combining the advantages of multi-objective optimization and an improved MCDM model, the proposed approach allows station owners to use linguistic variables for weighting decision-making variables, resulting in finding the best performing solution.
Article
Mathematics
Mohamad Shahiir Saidin, Lai Soon Lee, Siti Mahani Marjugi, Muhammad Zaini Ahmad, Hsin-Vonn Seow
Summary: In this study, a modified fuzzy method, named MEREC, is proposed to evaluate the overall performance of alternatives in the weighting process. The effectiveness and stability of the method are validated through a case study and simulation-based research. The results show that the fuzzy MEREC weights are consistent and stable, even in the presence of outliers, and require less CPU time compared to existing techniques. Therefore, this modified method is a suitable and efficient alternative for computing objective criteria weights in multi-criteria decision-making problems.
Article
Mathematics
Zeljko Stevic, Dillip Kumar Das, Rade Tesic, Marijo Vidas, Dragan Vojinovic
Summary: This study provides an objective criticism of the fuzzy SWARA method and highlights its shortcomings and errors in decision-making. The comparative analysis with an improved method suggests that the fuzzy SWARA approach is not suitable for multi-criteria decision-making and can lead to inadequate management.
Review
Energy & Fuels
Morteza Nazari-Heris, Atefeh Tamaskani Esfehankalateh, Pouya Ifaei
Summary: Hybrid energy systems combine different energy generation, storage, and conversion technologies to reduce costs and improve capability and efficiency. They are an interesting solution for plants to increase flexibility and revenue. These systems can improve grid integration of renewable energy and contribute to the development of zero-carbon energy grids. This paper provides a literature review on the design and applications of hybrid energy systems in buildings, focusing on economic, environmental, and technical aspects. It aims to enhance sustainable building techniques and effective electrical energy networks by offering insights into the design and applications of hybrid energy systems.
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
Thermodynamics
Pouya Ifaei, Amir Saman Tayerani Charmchi, Mattheos Santamouris, ChangKyoo Yoo
Summary: Insight into less-known aspects of sustainable development has been deepened through the development of the nexus between water and energy in the last decades. However, the complex sustainability problem cannot be fully investigated owing to the intrinsic shortcomings of the physical concept of energy. This study considered the exergy concept as a substitute for energy to develop water-exergy nexus analysis (WExNa) as an efficient analytical framework.
ENERGY CONVERSION AND MANAGEMENT
(2023)
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
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.
Review
Green & Sustainable Science & Technology
Paulina Vilela, Gabriel Jacome, Wladimir Moya, Pouya Ifaei, Sungku Heo, Changkyoo Yoo
Summary: Due to the increasing industrial residues, researchers have become interested in finding alternative methods to mitigate the toxicity of chemicals in the environment. The use of toxicity models and evaluation of chemical toxicity have been studied in order to achieve environmental sustainability and improve water quality. This review summarizes recent advances in modeling techniques for evaluating and monitoring toxicity, including the application of toxicity models and their environmental applications, case studies, and areas for further research towards sustainability.
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
Pengcheng Zhao, Jingang Wang, Liming Sun, Yun Li, Haiting Xia, Wei He
Summary: The production of green hydrogen through water electrolysis is crucial for renewable energy utilization and decarbonization. This research explores the optimal electrode configuration and system design of compactly-assembled industrial electrolyzer. The findings provide valuable insights for industrial application of water electrolysis equipment.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
V. Baiju, P. Abhishek, S. Harikrishnan
Summary: Thermally driven adsorption desalination systems (ADS) have gained attention as an eco-friendly solution for water scarcity. However, they face challenges related to low water productivity and scalability. To overcome these challenges, integrating ADS with other desalination technologies can create a small-scale hybrid system. This study proposes integrating ADS with a Thermo Electric Dehumidification (TED) unit to enhance its performance.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
C. X. He, Y. H. Liu, X. Y. Huang, S. B. Wan, Q. Chen, J. Sun, T. S. Zhao
Summary: A decentralized centroid multi-path RC network model is constructed to improve the temperature prediction accuracy compared to traditional RC models. By incorporating multiple heat flow paths and decentralizing thermal capacity, a more accurate prediction is achieved.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Chaoying Li, Meng Wang, Nana Li, Di Gu, Chao Yan, Dandan Yuan, Hong Jiang, Baohui Wang, Xirui Wang
Summary: There is an urgent need to shift away from heavy dependence on fossil fuels and embrace renewable energy sources, particularly in the energy-intensive oil refining process. This study presents an innovative concept called the Solar Oil Refinery, which applies solar energy in oil refining. A solar multi-energies-driven hybrid chemical oil refining system that utilizes solar pyrolysis and electrolysis has been developed, significantly improving solar utilization efficiency, cracking rate, and hydrogen yield.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Chao Ma, Guanghui Wang, Dingbiao Wang, Xu Peng, Yushen Yang, Xinxin Liu, Chongrui Yang, Jiaheng Chen
Summary: This study proposes a bio-inspired fish-tail wind rotor to improve the wind power efficiency of the traditional Savonius rotor. Through transient simulations and orthogonal experiments, the key factors affecting the performance are identified. A response surface model is constructed to optimize the power coefficient, resulting in an improvement of 9.4% and 6.6% compared to the Savonius rotor.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Sina Bahmanziari, Abbas-Ali Zamani
Summary: This paper proposes a new framework for improving electrical energy harvesting from piezoelectric smart tiles through a combination of magnetic plucking, mechanical impact, and mechanical vibration force mechanisms. Experimental results demonstrate a significant increase in energy yield and average energy harvesting time compared to other mechanisms.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Nanjiang Dong, Tao Zhang, Rui Wang
Summary: This study establishes a multiobjective mixed-variable configuration optimization model for a comprehensive combined cooling, heating, and power energy system, and proposes an efficient generating operator to optimize this model. The experimental results show that the proposed algorithm performs better than other state-of-the-art algorithms.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Ahmed E. Mansy, Eman A. El Desouky, Tarek H. Taha, M. A. Abu-Saied, Hamada El-Gendi, Ranya A. Amer, Zhen-Yu Tian
Summary: This study aims to convert office paper waste into bioethanol through a sustainable pathway. The results show that physiochemical and enzymatic hydrolysis of the waste can yield a high glucose concentration. The optimal conditions were determined using the Box-Behnken design, and a blended membrane was used for ethanol purification.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Sven Klute, Marcus Budt, Mathias van Beek, Christian Doetsch
Summary: Heat pumps are crucial for decarbonizing heat supply, and steam generating heat pumps have the potential to decarbonize the industrial sector. This paper presents the current state, technical and economic data, and modeling principles of steam generating heat pumps.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Le Zhang, To-Hung Tsui, Yen Wah Tong, Pruk Aggarangsi, Ronghou Liu
Summary: This study investigates the effectiveness of a current-carrying-coil-based magnetic field in promoting anaerobic digestion of chicken manure. The results show that the applied magnetic field increases methane yield, decreases carbon dioxide production, and reduces the concentration of ammonia nitrogen. Microbial community analysis reveals the enrichment of certain methanogenic genera and enhanced metabolic pathways. Pilot-scale experiments confirm the technical effectiveness of the magnetic field assistance in enhancing anaerobic digestion of chicken manure.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Bo Chen, Ruiqing Ma, Yang Zhou, Rui Ma, Wentao Jiang, Fan Yang
Summary: This paper presents an advanced energy management strategy for fuel cell hybrid electric heavy-duty vehicles, focusing on speed planning and energy allocation. By utilizing predictive co-optimization control, this strategy ensures safe inter-vehicle distance and minimizes energy demand. Simulation results demonstrate the effectiveness of the proposed method in reducing fuel cell degradation cost and overall operation cost.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Fabio Fatigati, Roberto Cipollone
Summary: Organic Rankine Cycle-based microcogeneration systems that use solar sources to generate electricity and hot water can help reduce CO2 emissions in residential energy-intensive sectors. The adoption of a recuperative heat exchanger in these systems improves efficiency, reduces thermal power requirements, and saves on electricity costs.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Lipeng He, Renwen Liu, Xuejin Liu, Xiaotian Zheng, Limin Zhang, Jieqiong Lin
Summary: This research proposes a piezoelectric-electromagnetic hybrid energy harvester (PEHEH) for low-frequency wave motion and self-sensing wave environment monitoring. The PEHEH shows promising power output and the ability to self-power and self-sense the wave environment.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Shangling Chu, Yang Liu, Zipeng Xu, Heng Zhang, Haiping Chen, Dan Gao
Summary: This paper studies a distributed energy system integrated with solar and natural gas, analyzes the impact of different parameters on its energy utilization and emissions reduction, and obtains the optimal solution through an optimization algorithm. The results show that compared to traditional separation production systems, this integrated system achieves higher energy utilization and greater reduction in carbon emissions.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Qingpu Li, Yaqi Ding, Guangming Chen, Yongmei Xuan, Neng Gao, Nian Li, Xinyue Hao
Summary: This paper proposes and studies a piston-type thermally-driven pump with a structure similar to a linear compressor, aiming to eliminate the high-quality energy consumption of existing pumps and replace mechanical pumps. The coupling mechanism of working fluid flow and element dimension is analyzed based on force analysis, and experimental data analysis is used to determine the pump operation stroke. Theoretical simulation is conducted to analyze the correlation mechanism of the piston assembly. The research shows that the thermally-driven pump can greatly reduce power consumption and has potential for industrial applications.
ENERGY CONVERSION AND MANAGEMENT
(2024)