Article
Thermodynamics
Jan A. Stampfli, Benjamin H. Y. Ong, Donald G. Olsen, Beat Wellig, Rene Hofmann
Summary: Increasing energy efficiency and reducing greenhouse gas emissions are crucial for a sustainable economy. Retrofitting existing multi-period production plants is key to achieving more sustainable production processes in high value-added industries. This study extends an existing evolutionary algorithm to address the multi-objective problem of heat exchanger network retrofit, considering both greenhouse gas emissions and total annual cost. Results from an industrial case study show a 50% reduction in emissions, but a 27% increase in cost compared to single-objective optimization. Selecting different objectives and changes in utility costs and emissions greatly impact the results.
Article
Green & Sustainable Science & Technology
Chryso Sotiriou, Theodoros Zachariadis
Summary: The EU's climate policy is evolving rapidly, with leaders aiming to reduce greenhouse gas emissions by 2030 and 2050. This paper introduces a multi-objective optimization framework to explore trade-offs between stronger decarbonization goals and higher costs, providing insights for decision-makers. In the case of Cyprus, the study finds that achieving a 35% reduction in emissions for the EU Effort Sharing sectors is feasible, with potential social benefits outweighing costs. Accounting for external costs of emissions leads to a least-cost solution of around 32% reduction, showing the feasibility of socially optimal decarbonization policies.
JOURNAL OF CLEANER PRODUCTION
(2021)
Review
Computer Science, Interdisciplinary Applications
Sanyapong Petchrompo, David W. Coit, Alexandra Brintrup, Anupong Wannakrairot, Ajith Kumar Parlikad
Summary: This article introduces the pruning method for multi-objective optimization problems, and classifies and explains the selection process. These methods help decision makers choose the optimal solution from a large set, making the results more comprehensible.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Materials Science, Multidisciplinary
Rita de Cassia Costa Dias, Lizandro de Sousa Santos
Summary: This study employed a computational strategy to optimize a pultrusion process, using mass and energy balance equations and implemented into Ansys CFX and Matlab tools. Single objective optimization focused on the sum of heaters' temperatures, while multi-objective optimization aimed at pull speed maximization and minimization of heaters' temperatures. The results showed that the SQP method outperformed the PSO algorithm in terms of reducing the objective function and computational cost. Additionally, the NSGA-II algorithm was faster than the PSO strategy for multi-objective optimization, and both methods' Pareto curves revealed the trade-off between pull speed and energy consumption. The Pareto curve was also useful for predicting optimal points and identifying infeasible combinations of temperature and pull speed values.
MATERIALS TODAY COMMUNICATIONS
(2023)
Article
Engineering, Environmental
Zi Lin, Lin-Quan Gong, Jing-Jing Xu, Jia-Jia Jiang, Jun-Cheng Jiang
Summary: This paper proposes a multi-objective optimization method for the layout design of chemical process plants, aiming to achieve a trade-off between economy and safety. The economic objective is evaluated by considering the total capital cost, while the safety objective is evaluated by the Comprehensive Inherent Safety Index (CISI). The proposed method is applied to optimize the layout of an acrylic acid production plant using the non-dominated sorting genetic algorithm II (NSGA-II). The results show a clear trade-off between economic and safety objectives according to the Pareto curve.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2023)
Article
Polymer Science
Hanjui Chang, Guangyi Zhang, Yue Sun, Shuzhou Lu
Summary: This paper uses multi-objective optimization, Pareto-optimized frames, and injection molding process parameters to optimize the quality of UAV housing parts. Through analyzing the relationship between different process parameters and defect parameters and using unified sampling method and genetic algorithm, the optimal solution for improving UAV IME membrane is achieved.
Article
Quantum Science & Technology
Arezoo Rajaei, Mahboobeh Houshmand, Seyyed Abed Hosseini
Summary: This study presents a multi-objective quantum-logic synthesis method to optimize the evaluation criteria of a synthesized circuit. By exploring various combinations of CSD and QSD, a solution space is constructed, and a method based on multi-objective dynamic programming is used to find circuits with Pareto-optimal costs. The results demonstrate a balance between the evaluation criteria and generate multiple Pareto-optimal solutions for consideration based on applications or quantum technology requirements.
QUANTUM INFORMATION PROCESSING
(2023)
Article
Computer Science, Artificial Intelligence
Ying Xu, Huan Zhang, Lei Huang, Rong Qu, Yusuke Nojima
Summary: This research investigates the grid-based decomposition methods in multi-objective optimization to address the issues of diversity and convergence. A new concept of Pareto Front grid and a statistical analysis-based nadir point estimation strategy are proposed to improve computational efficiency. Furthermore, a novel grid-based knee point selection method is proposed. Experimental analysis demonstrates the effectiveness of the proposed PFG-MOEA algorithm.
APPLIED SOFT COMPUTING
(2023)
Article
Engineering, Chemical
Mohammad Reza Zaker, Clemence Fauteux-Lefebvre, Jules Thibault
Summary: The study rigorously selected a representative kinetic rate equation to develop a mathematical model for multi-objective optimization of the sulphuric acid production reactor. Through various design scenarios, it was found that a reactor comprised of four catalytic beds with an intermediate absorption column provides higher SO2 conversion. The results highlight the compromise between conversion, productivity, and catalyst weight.
Article
Computer Science, Artificial Intelligence
Sumit Kumar, Natee Panagant, Ghanshyam G. Tejani, Nantiwat Pholdee, Sujin Bureerat, Nikunj Mashru, Pinank Patel
Summary: Multi-objective structure optimization is a complex design issue that involves dealing with multiple conflicting objectives and various constraints. A powerful optimizer called MOMVO2arc has been proposed and evaluated for solving large structure optimization problems with less computation time.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Multidisciplinary Sciences
Logan E. Mitchell, John C. Lin, Lucy R. Hutyra, David R. Bowling, Ronald C. Cohen, Kenneth J. Davis, Elizabeth DiGangi, Riley M. Duren, James R. Ehleringer, Clayton Fain, Matthias Falk, Abhinav Guha, Anna Karion, Ralph F. Keeling, Jooil Kim, Natasha L. Miles, Charles E. Miller, Sally Newman, Diane E. Pataki, Steve Prinzivalli, Xinrong Ren, Andrew Rice, Scott J. Richardson, Maryann Sargent, Britton B. Stephens, Jocelyn C. Turnbull, Kristal R. Verhulst, Felix Vogel, Ray F. Weiss, James Whetstone, Steven C. Wofsy
Summary: Urban regions are major contributors to greenhouse gas emissions. Increasing numbers of urban policymakers and stakeholders are taking action to reduce emissions and establish monitoring networks. However, the coordination among these efforts is limited, necessitating the integration of urban observations to enable comprehensive analyses and address scientific questions.
Article
Green & Sustainable Science & Technology
Xiaoping Jia, Yanmei Zhang, Raymond R. Tan, Zhiwei Li, Siqi Wang, Fang Wang, Kai Fang
Summary: The study indicates that large-scale expansion of the tertiary industry is essential to achieve China's dual carbon goals, and Chinese energy consumption is projected to peak in 2035, with carbon intensity in 2030 decreasing significantly compared to 2005 levels.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2022)
Article
Green & Sustainable Science & Technology
Wanzhen Zhu, Wei Dong, Guowei Qin, Yejun Yang
Summary: China has implemented various carbon reduction policies and now requires an effective and systematic collaborative carbon reduction mechanism. Carbon emissions from the Yangtze River Delta region were analyzed and the pressures to and potential of carbon emissions reduction were summarized. The implementation of carbon tax policies was proposed, along with other mechanisms to promote energy transformation and industrial upgrades.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2023)
Article
Computer Science, Artificial Intelligence
Tianmeng Hu, Biao Luo, Chunhua Yang, Tingwen Huang
Summary: This paper proposes a method called MO-MIX to solve the multi-objective multi-agent reinforcement learning problem. The approach is based on the centralized training with decentralized execution framework and utilizes a weight vector and a mixing network to estimate the joint action-value function. Experiments show that the proposed method can effectively solve the multi-objective multi-agent decision-making problem and generate an approximation of the Pareto set.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2023)
Article
Computer Science, Information Systems
Pedro Augusto de Castro E Castro, Lenin Martins Ferreira Morais, Thiago Ribeiro de Oliveira
Summary: The paper aims to present a unified computational tool to assist designers in finding the optimal design for a given power electronic converter. A comparison is shown between the traditional industrial design approach and a multi-objective optimization approach using Pareto analysis for a 10 kVA UPS. The use of the proposed computational tool resulted in a UPS with improved power density and efficiency.
Article
Green & Sustainable Science & Technology
Han Li, Weiqing Huang, Yu Qian, Jiri Jaromir Klemes
Summary: Vehicle emissions have become a major pollution source affecting air quality and human health in China's megacities. This study aims to explore an integrated approach to assess the risk factors of excess vehicle emissions and their impact on air quality. Bayesian Network coupled with the Fault Tree method is used as the assessment tool, and four megacities in China are selected as case studies. The analysis results show a positive correlation between the probability of excess vehicle emissions and air quality variation. This work provides a novel approach for the sustainable development of China's megacities in terms of accurate traceability, quantitative risk assessment, and prediction of urban vehicle emissions.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Jianqin Zheng, Jian Du, Bohong Wang, Jiri Jaromir Klemes, Qi Liao, Yongtu Liang
Summary: This paper proposes a hybrid framework for accurate power generation forecast of multiple renewable energy sources, which combines convolutional neural networks, attention-based long short-term memory networks, and auto-regression models to predict power generation more accurately.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Editorial Material
Green & Sustainable Science & Technology
Petar Sabev Varbanov
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY
(2023)
Article
Thermodynamics
Hon Huin Chin, Petar Sabev Varbanov, Jiri Jaromir Klemes, Zdravko Kravanja
Summary: Circular Economy is a well-known concept to tackle global resource depletion problems, and its sustainability and environmental performance are closely related to energy consumption. This work presents an assessment tool called Energy Quality Pinch Analysis, which determines the minimum energy requirements for a circular system and demonstrates its sustainability. The analysis considers cascades of energy used and released in recycling and symbiosis processes, evaluating the minimal external energy flows. Case studies on heat and power integration, chemical energy reuse in wastewater systems, and municipal solid waste management have shown the potential for high energy recovery rates, providing valuable guidance for system designers.
Article
Thermodynamics
Kok Sin Woon, Zhen Xin Phuang, Jan Taler, Petar Sabev Varbanov, Cheng Tung Chong, Jirf Jaromfr Klemes, Chew Tin Lee
Summary: Climate change is a major long-term threat to humanity. Transforming urban energy from carbon-intensive to carbon-free solutions is crucial for achieving carbon neutrality. This review discusses recent advances in green energy development in urban sectors, including industry, buildings, transportation, and waste treatment. It highlights the need for developing novel energy materials, improving energy storage capacity, reducing vulnerability of renewable sources, optimizing modeling, and enhancing engineering design. The challenges and recommendations for green energy development in environmental, economic, and societal aspects are summarized, along with the importance of minimizing energy consumption in waste treatment. Innovations in technology, institutional regulations, incentives, and behavioral changes are necessary for achieving carbon neutrality in urban environments.
Article
Thermodynamics
Yifan Xu, Mengmeng Ji, Jiri Jaromir Klemes, Hengcong Tao, Baikang Zhu, Petar Sabev Varbanov, Meng Yuan, Bohong Wang
Summary: This paper investigates the economic viability of transforming renewable energy into exportable electricity or hydrogen. A comprehensive renewable energy system model is developed based on the P-graph to simulate an energy system that integrates electricity, heat, and hydrogen on a virtual island. Findings from the case study show that exporting extra renewable energy by electricity is cheaper than using hydrogen for the studied island, and the optimal dispatch structure can deliver 51 GWh of electricity annually for 292 M CNY (about 42 M EUR). A sensitivity analysis of export prices and renewable energy uncertainty verifies the economics of electricity export.
Article
Thermodynamics
Dariusz Jakubek, Pawel Oclon, Marzena Nowak-Oclon, Maciej Sulowicz, Petar Sabev Varbanov, Jirf Jaromfr Klemes
Summary: This paper analyzes the heat losses from pre-insulated pipes and twin pipes in the heating system network. By comparing the measurements on a dedicated experimental setup with analytical calculations, the results show good agreement. The economic analysis indicates that a return on investment is expected after 5 years when comparing twin-pipe systems and single-pipe pre-insulated heating networks.
Article
Green & Sustainable Science & Technology
Kathleen B. Aviso, Jonna C. Baquillas, Anthony S. F. Chiu, Peng Jiang, Yee Van Fan, Petar Sabev Varbanov, Jirf Jaromfr Klemes, Raymond R. Tan
Summary: Plastic pollution is a serious sustainability issue that affects both terrestrial and aquatic ecosystems, as well as air quality. The COVID-19 pandemic has further worsened the problem. Socio-economic barriers hinder the large-scale commercial use of plastic recycling technologies, with mixed plastic streams often being contaminated due to imperfect waste segregation. This study introduces the concept of Plastics Recycling Networks and develops linear programming and mixed-integer linear programming models to match waste plastic sources with recycling plants. The models consider the tolerance of recycling plants towards contaminants, and two case studies demonstrate their effectiveness. Policy implications for mitigating plastic pollution are also discussed.
CLEANER ENGINEERING AND TECHNOLOGY
(2023)
Article
Thermodynamics
Petar Sabev Varbanov, Bohong Wang, Pawel Oclon, Elzbieta Radziszewska-Zielina, Ting Ma, Jiri Jaromir Klemes, Xuexiu Jia
Summary: This article discusses the key issues and developments in energy optimization of industrial and urban systems for achieving a clean Circular Economy. It outlines several vital directions for future research and development, including the integration of modeling and optimization of business and urban processes, the development of novel concepts and tools for unified modeling and optimization of diverse industrial, business, and urban processes, and the need for efficient recycling of renewable energy harvesting equipment disposed of at end-of-life.
Article
Construction & Building Technology
Andrii Polyvianchuk, Vitaliy Malyarenko, Roman Semenenko, Kostiantyn Gura, Petar Sabev Varbanov, Olga Arsenyeva
Summary: The energy independence of heating systems with low emissions has become increasingly important in recent years. Implementing new heating technologies with a higher share of clean renewable energy sources and heat pumps is necessary. This study proposes a multiobjective optimization approach to evaluate alternative energy sources for heat energy generation, considering economic, environmental, and energy aspects. A case study of a commercial building in Kharkiv, Ukraine is presented, showing the integration of natural gas condensing boilers, heat pumps, and flat solar collectors. The optimal solution resulted in 36% use of solar energy and an air-to-water heat pump, reducing energy consumption by 1,557 GJ with economic savings of 28,852 EUR. The proposed scenario has a payback period of 5 years.
ENERGY AND BUILDINGS
(2023)
Article
Engineering, Environmental
Daniel Fozer, Philippe Nimmegeers, Andras Jozsef Toth, Petar Sabev Varbanov, Jiri Jaromir Klemes, Peter Mizsey, Michael Zwicky Hauschild, Mikolaj Owsianiak
Summary: This study presents a data-driven hybrid prediction method for assessing the sustainability of waste-to-dimethyl ether (DME) conversion and optimizing process configurations. The results show that selecting suitable waste feedstocks and designing waste-specific synthesis methods can improve techno-economic and environmental performances.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Green & Sustainable Science & Technology
Yiming Li, Dapeng Sun, Tianyang Xia, Petar Sabev Varbanov, Xingan Liu, Tianlai Li
Summary: Chinese solar greenhouse (CSG) is essential for sustainable agriculture as it allows year-round vegetable cultivation without energy consumption or carbon emissions. However, frost damage during winter production is common in high latitudes and cold regions. To improve the thermal insulation of unheated CSG, a novel internal insulation method was proposed.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Dan Zheng, Yifan Xue, Jin Wang, Petar Sabev Varbanov, Jiri Jaromir Klemes, Chungen Yin
Summary: Green hydrogen production through photocatalytic water splitting has significant potential for sustainable energy production. This review focuses on high-performance photocatalysts, which play a crucial role in enhancing the efficiency of photocatalytic hydrogen production. It provides an overview of the principles and factors affecting photocatalytic performance, and comprehensively reviews conventional semiconductor photocatalysts and their catalytic activity enhancement methods. Additionally, it discusses representative nano-photocatalysts and optimization strategies. The review also summarizes the performance, challenges, and future research directions of photocatalysts of different dimensions, serving as a valuable guide for the application of high-performance photocatalysts in green hydrogen production and offering insight into the latest advancements in photochemical conversion efficiency.
JOURNAL OF CLEANER PRODUCTION
(2023)
Review
Energy & Fuels
Olga Arsenyeva, Leonid Tovazhnyanskyy, Petro Kapustenko, Jiri Jaromir Klemes, Petar Sabev Varbanov
Summary: A plate heat exchanger (PHE) is a modern and efficient heat transfer equipment, capable of enhancing heat recuperation and energy efficiency. This paper reviews the construction and exploration developments of PHEs, as well as the methods of heat transfer intensification. The use of inclined corrugations on the surface of PHE plates is a common method to improve performance.
Proceedings Paper
Green & Sustainable Science & Technology
Olga Arsenyeva, Jiri Jaromir Klemes, Petar Sabev Varbanov, Petro Kapustenko
Summary: The reduction of fossil fuels consumption is crucial today. The application of modern technologies for heating residential apartments and hot water supply poses challenges. Reliable regulation of temperatures inside apartments requires quick-respond and accurate control techniques for the equipment used. This study proposes a parametric model predictive control technique for water flowrate control of the butterfly type valve used in temperature and flowrate regulation of individual heat substations in centralized heating systems. The model improves non-linear characteristics, resulting in better flow control quality.
SMART TECHNOLOGIES IN URBAN ENGINEERING, STUE-2022
(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.