Article
Energy & Fuels
Joseph A. Oyebanji, Sunday O. Oyedepo, Olawumi T. Oyebanji, Alaba O. Araoyinbo, Oluwaseun Kilanko, Joseph O. Dirisu, Bahaa Saleh
Summary: Agro-waste disposal is a serious environmental problem in developing countries like Nigeria, but it is possible to produce sustainable energy from these biomass wastes. This study aimed to determine the higher heating value (HHV) of indigenous fuelwood sawdust and analyze the chemical composition of the pyrolysis yield products. The results showed that the selected fuelwoods have HHVs ranging from 19.80 to 21.02 MJ kg-1.
Article
Agricultural Engineering
Yurany Camacho Ardila, Jaiver Efren Jaimes Figueroa, Maria Regina Wolf Maciel
Summary: The higher heating value (HHV) and elemental composition are important properties of biomass, and their prediction using proximate and ultimate analysis is accurate.
INDUSTRIAL CROPS AND PRODUCTS
(2024)
Article
Thermodynamics
Xiaoling Chen, Yongxing Zhang, Baoshen Xu, Yifan Li
Summary: This study aims to develop correlations based on proximate and ultimate analysis to predict the HHV of oily sludge accurately and easily. The correlations based on ultimate analysis show higher accuracy compared to those based on proximate analysis, especially for samples with higher HHV intended for use as a fuel source. Further validation with samples collected from a local oilfield yielded similar results to the regression analysis.
Article
Biochemical Research Methods
Ruoyu Tang, Xinyu He, Ruiqi Wang
Summary: The study presents a general computational method for constructing maps between different cell fates and parametric conditions by systematic perturbations. The method does not require accurate parameter measurements or bifurcations. The maps obtained can help in understanding how systematic perturbations drive cell fate decisions and transitions, providing valuable information for predicting and controlling cell states.
Article
Engineering, Environmental
Jatuporn Parnthong, Supaporn Nualyai, Wasawat Kraithong, Anan Jiratanachotikul, Pongtanawat Khemthong, Kajornsak Faungnawakij, Sanchai Kuboon
Summary: This study measured the higher heating value (HHV) of sugarcane leaf and giant leucaena wood after hydrothermal carbonization (HTC) and proposed empirical correlations based on ultimate and proximate analysis to predict HHV during the process. The results showed that the accuracy of the HHV prediction was influenced by the types of biomass feedstock, HTC operating conditions, compositions of hydrochar, and the scopes of ultimate and proximate variables.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2022)
Article
Spectroscopy
Gerard Dumancas, Indra Adrianto
Summary: This study developed a stacked regression ensemble approach using near infrared spectroscopic method for accurate determination of biomass compositional analyses. The performance of various machine learning techniques was compared, and the stacked regression outperformed other methods, providing a more accurate prediction of biomass compositions.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2022)
Article
Energy & Fuels
Maria Margarida Mateus, Joao Moura Bordado, Rui Galhano dos Santos
Summary: This study developed predictive models based on a large dataset of RDFs to estimate the heating values of municipal solid waste, demonstrating high accuracy and low errors.
Article
Automation & Control Systems
Zhonghao Xie, Xi'an Feng, Xiaojing Chen
Summary: This paper proposes a robust method for PLS based on the idea of least trimmed squares (LTS), which effectively deals with high-dimensional regressors. By formulating the LTS problem as a concave maximization problem, the complexity of solving LTS is simplified. The results from simulation and real data sets demonstrate the effectiveness and robustness of the proposed approach.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2022)
Article
Multidisciplinary Sciences
Emilio Gomez-Gonzalez, Alejandro Barriga-Rivera, Beatriz Fernandez-Munoz, Jose Manuel Navas-Garcia, Isabel Fernandez-Lizaranzu, Francisco Javier Munoz-Gonzalez, Ruben Parrilla-Giraldez, Desiree Requena-Lancharro, Pedro Gil-Gamboa, Cristina Rosell-Valle, Carmen Gomez-Gonzalez, Maria Jose Mayorga-Buiza, Maria Martin-Lopez, Olga Munoz, Juan Carlos Gomez-Martin, Maria Isabel Relimpio-Lopez, Jesus Aceituno-Castro, Manuel A. Perales-Esteve, Antonio Puppo-Moreno, Francisco Jose Garcia-Cozar, Lucia Olvera-Collantes, Raquel Gomez-Diaz, Silvia de los Santos-Trigo, Monserrat Huguet-Carrasco, Manuel Rey, Emilia Gomez, Rosario Sanchez-Pernaute, Javier Padillo-Ruiz, Javier Marquez-Rivas
Summary: This study demonstrates the feasibility of using hyperspectral image analysis in the visible and near-infrared range for primary screening of SARS-CoV-2. By applying spectral feature descriptors, partial least square-discriminant analysis, and artificial intelligence, information can be extracted from fluid samples and analyzed quantitatively and descriptively. The proposed technology is reagent-free, fast, scalable, and could significantly reduce the number of molecular tests required for COVID-19 mass screening, even in resource-limited settings.
SCIENTIFIC REPORTS
(2022)
Article
Construction & Building Technology
Ruiyang Jian, Xiaodi Hu, Tao Han, Jiuming Wan, Wenxia Gan, Zongwu Chen, Yinglong Zhang, Chongfu Cao
Summary: This study investigated how induction heating parameters determine the self-healing capacity of asphalt mixture. The multi-parameter method showed better results in improving the healing ratio compared to the single-parameter method, and the coupling effect among parameters was confirmed.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Multidisciplinary Sciences
Freeh N. Alenezi
Summary: The study introduces a method for variable selection in high dimensional data modeling, using majority scoring with backward elimination in PLS to improve prediction accuracy. The method performs well in predicting corn and diesel contents, while also examining the impact of data properties on prediction behavior.
SCIENTIFIC REPORTS
(2021)
Article
Fisheries
Peiwen Wang, Isabel Mendes, Ramona Franic
Summary: This study examines the interaction between investment, training, and environmental factors in Guangdong's aquaculture industry. Through NIPALS regression, we identify the significant impact of environmental factors on aquaculture product losses. Our findings stress the importance of targeted training and education for fisherfolks and extension staff to improve environmental management and reduce losses. We also highlight the need to consider regional variability and challenges in developing universal models. Based on our results, we recommend using innovative technology, fostering public-private partnerships, and adapting to regional variability to address environmental challenges.
Article
Chemistry, Analytical
Marina Antonio, Renato L. Carneiro, Ruben M. Maggio
Summary: This study evaluated the feasibility of using middle- and near-infrared spectroscopy, as well as Raman spectroscopy, coupled with multivariate calibration to quantify MLXForm I in commercial raw material. The results showed that NIR-PLS had the best predictive capacity.
MICROCHEMICAL JOURNAL
(2022)
Article
Environmental Sciences
Onuwa Okwuashi, Christopher E. Ndehedehe, Dupe Nihinlola Olayinka
Summary: This research explores the novel application of Tensor Partial Least Squares (TPLS) for hyperspectral image classification. The results show that TPLS performed better than unfolded PLS, but fell short of traditional classifiers.
GEOCARTO INTERNATIONAL
(2022)
Article
Automation & Control Systems
Zhonghao Xie, Xi'an Feng, Limin Li, Xiaojing Chen
Summary: In this study, a new robust PLS method called partial least median of squares (PLMS) regression is proposed by incorporating the idea of least median of squares. Unlike most existing robust methods, the PLMS problem is solved using modern optimization techniques rather than heuristic processes or reweighting strategies. Comparisons are made with a classical PLS method and two efficient robust PLS methods, demonstrating the effectiveness and robustness of the proposed approach through simulations and real-world data sets.
JOURNAL OF CHEMOMETRICS
(2022)
Article
Energy & Fuels
Habib Shoeibi, Azad Jarrahian, Mehdi Mehrpooya, Ehsanolah Assaerh, Mohsen Izadi, Fathollah Pourfayaz
Summary: This study proposed a mathematical model based on heat transfer equations and simulated a CPC solar collector using Aspen HYSYS and MATLAB software. The simulated mathematical model includes a two-dimensional numerical model to describe the thermal and dynamic behavior of the fluid inside the CPC solar collector absorber tube. The numerical simulations showed a good correlation between the numerical results and experimental results.
Article
Engineering, Chemical
Yousef Abdollahzadeh, Mehdi Mehrpooya, Seyed Mohammad Ali Mousavian, Hamed Moqtaderi
Summary: A novel two-phase scheme based on the mixture model was used to model and simulate Al2O3/water nanofluid flow in a rectangular channel using the Lattice Boltzmann method. The proposed model considered the effect of drift velocity of each phase. The simulations were performed at laminar flow regime and low Reynolds numbers. The results showed good agreement with finite element method results and demonstrated the effectiveness of the proposed Lattice Boltzmann model for engineering and scientific problems.
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2023)
Article
Chemistry, Multidisciplinary
Hamed Kamali, Mehdi Mehrpooya, Adib Shabani
Summary: As new routes for clean energy supply are investigated, thermally regenerative electrochemical refrigerators (TRERs) are being explored as a promising option in high consumption sectors. This study presents a modified TRER system integrated with TEGs and batteries, which operates during the day powered by TEGs and at night driven by batteries. Performance and sensitivity analyses are conducted, showing the maximum power output of 469.9 W from TEGs and the cooling capacity of 237 W from TRER.
Review
Engineering, Chemical
Mehdi Mehrpooya, Mohammad Reza Ganjali, Seyed Ali Mousavi, Nader Hedayat, Ali Allahyarzadeh
Summary: This study categorizes and evaluates gas detection based on electrochemical cells, focusing on fuel cell sensors such as CO, H-2, methanol, and ethanol. The research discusses the manufacturing, technologies, and operating conditions of the sensors, and provides suggestions for future investigations based on previous studies.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2023)
Review
Biochemistry & Molecular Biology
Yadong Yang, Mortaza Aghbashlo, Vijai Kumar Gupta, Hamid Amiri, Junting Pan, Meisam Tabatabaei, Ahmad Rajaei
Summary: Large amounts of agricultural waste, especially marine product waste, are produced annually. These wastes can be used to produce valuable compounds like chitosan, which has various biological activities. Essential oils have also been studied for their biological properties, and recent research has focused on using essential oils encapsulated in chitosan nanocarriers to enhance the antimicrobial activity of chitosan nanoparticles. This review provides an overview of recent studies on the biological effects of essential oils encapsulated in chitosan nanocarriers.
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
(2023)
Review
Green & Sustainable Science & Technology
Alireza Shafizadeh, Hajar Rastegari, Hossein Shahbeik, Hossein Mobli, Junting Pan, Wanxi Peng, Guihua Li, Meisam Tabatabaei, Mortaza Aghbashlo
Summary: The use of nanomaterials in biomass pyrolysis is thoroughly reviewed in this article. Nanocatalysts not only reduce the complexity and cost of bio-oil upgrading, but also improve the quality and quantity of bio-oil compared to bulk catalysts. The effects of catalysts, biomass decomposition pathways, and product distribution patterns in nanocatalyst-assisted pyrolysis are explained, and the pros and cons of using nanocatalysts in the biomass pyrolysis process are discussed.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Agricultural Engineering
Meysam Madadi, Dan Liu, Yuanhang Qin, Yinchao Zhang, Keikhosro Karimi, Meisam Tabatabaei, Vijai Kumar Gupta, Mortaza Aghbashlo, Sameh Samir Zahoor, Sameh Samir Ali
Summary: This study aims to develop an integrated pretreatment technology for the complete conversion of poplar biomass to XOS, glucose, and native-like lignin, using TsOH-catalyzed LHW and short-time ball milling. The optimized TsOH-catalyzed LHW pretreatment solubilized 98.5% of hemicellulose, releasing 49.8% XOS. Subsequent ball milling improved the enzymatic hydrolysis of cellulose and reduced crystallinity. This research proposes a sustainable waste-free biorefinery for biomass valorization.
BIORESOURCE TECHNOLOGY
(2023)
Article
Green & Sustainable Science & Technology
Alireza Shafizadeh, Hossein Shahbeik, Mohammad Hossein Nadian, Vijai Kumar Gupta, Abdul-Sattar Nizami, Su Shiung Lam, Wanxi Peng, Junting Pan, Meisam Tabatabaei, Mortaza Aghbashlo
Summary: This study develops a machine learning-based research framework for modeling, understanding, and optimizing the catalytic steam reforming of volatile matter compounds. Chemical/ textural analyses are used to obtain input features, and ensemble machine learning provides the best prediction performance for toluene conversion and product distribution. The framework can expedite the search for optimal catalyst characteristics and reaction conditions.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Mohammad Mahdi Ahmadi, Homa Hosseinzadeh-Bandbafha, Quang Dung Le, Thien Khanh Tran, Mhd Ikhwanuddin, Su Shiung Lam, Pham Phu Truong, Wanxi Peng, Nguyen Hong Quan, Mortaza Aghbashlo, Meisam Tabatabaei
Summary: In this study, a multi-approach framework is proposed for developing feasible, viable, and sustainable hybrid energy systems in remote areas. A case study on Con Dao Island in Vietnam shows that an off-grid hybrid energy system consisting of photovoltaics, wind turbines, lead-acid batteries, and diesel generators has the lowest net present cost, while an on-grid hybrid energy system with a high level of photovoltaics and wind turbines performs the best in terms of eco-friendliness.
JOURNAL OF CLEANER PRODUCTION
(2023)
Review
Green & Sustainable Science & Technology
Hossein Shahbeik, Alireza Shafizadeh, Vijai Kumar Gupta, Su Shiung Lam, Hajar Rastegari, Wanxi Peng, Junting Pan, Meisam Tabatabaei, Mortaza Aghbashlo
Summary: The unfavorable properties of biomass pyrolysis bio-oil require physical/thermochemical methods to enhance its quality. Nanotechnology offers potential solutions to overcome the drawbacks of conventional catalysts used in bio-oil upgrading. This article provides a comprehensive overview of the application of nanocatalysts in bio-oil upgrading, including their mechanisms and effects on important operating parameters. Nanocatalysts have been shown to yield higher bio-oil quality and have advantages over bulk catalysts. However, more research and development are needed before nanocatalysts can be fully realized in practical applications.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Seyed Ali Mousavi, Ashkan Toopshekan, Mehdi Mehrpooya, Mostafa Delpisheh
Summary: The study proposes an off-grid hybrid renewable configuration consisting of PV panels, wind turbines, a battery bank, and a biogas generator to determine the most reliable and economical way to meet electricity demand in remote areas. Exergy and environmental analyses, along with techno-economic optimization, are applied to four dispatch strategies, with the results showing that PV modules had the highest share in exergy destruction. The cost-effective index indicated that the vertical tracking mode was the most cost-effective option.
Article
Chemistry, Multidisciplinary
Meysam Madadi, Guojie Song, Vijai Kumar Gupta, Mortaza Aghbashloh, Chihe Sun, Fubao Sun, Meisam Tabatabaei
Summary: This study demonstrated that post-incubation with non-catalytic proteins (AP, SP, and BSA) can effectively detoxify the inhibitory compounds in dilute acid pretreated biomass, leading to improved enzymatic digestibility.
Article
Environmental Sciences
Zahra Fardi, Hossein Shahbeik, Mohsen Nosrati, Ehsan Motamedian, Meisam Tabatabaei, Mortaza Aghbashlo
Summary: Waste-to-energy conversion is a key strategy for addressing the energy crisis and environmental pollution. This study explores the co-pyrolysis of terrestrial biomass and marine biomass to optimize the production of bio-oil and biochar. The results show that the mixed samples result in increased bio-oil yield, with the highest yield achieved in a composition of 75% potato peel and 25% Sargassum angastifolium. The analysis of the pyrolysis products indicates favorable characteristics for the generation of biofuels and value-added commodities.
ENVIRONMENTAL RESEARCH
(2024)
Article
Chemistry, Multidisciplinary
Ehsan Sarlaki, Mohammad Hossein Kianmehr, Ali-mashaallah Kermani, Marzieh Ghorbani, Majid Ghorbani Javid, Meisam Rezaei, Wanxi Peng, Su Shiung Lam, Meisam Tabatabaei, Mortaza Aghbashlo, Xiangmeng Chen
Summary: This study investigates the use of lignite waste as a carrier matrix for creating engineered nitro-humic fertilizer (NHF) through an innovative ozone oxidation method and nitrogen enrichment. The NHF exhibited superior nitrogen use efficiency and agronomic fertilizer efficiency compared to urea and even surpassed commercial NPK fertilizers. Applying NHF improved multiple aspects of maize growth and had a remarkable capability to increase waterholding capacity and extend the water-retention period in soil.
SUSTAINABLE CHEMISTRY AND PHARMACY
(2023)
Review
Green & Sustainable Science & Technology
Mohammadali Kiehbadroudinezhad, Homa Hosseinzadeh-Bandbafha, Marc A. Rosen, Vijai Kumar Gupta, Wanxi Peng, Meisam Tabatabaei, Mortaza Aghbashlo
Summary: This article discusses the importance of green microgrids in mitigating risks and climate change by providing carbon-free power. It highlights the challenges faced by clean energy systems and the potential of green microgrids in remote areas. The article emphasizes the significance of transitioning to green microgrids to achieve sustainable and clean power while reducing the adverse environmental impacts of conventional energy sources.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(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.
