Article
Energy & Fuels
Stuart M. Cohen, Ana Dyreson, Sean Turner, Vince Tidwell, Nathalie Voisin, Ariel Miara
Summary: This article presents a multi-model framework to analyze the combined effects of long and short-term climate impacts on the electric grid. Using a case study of the U.S. Western Interconnection, the study demonstrates the importance of considering multiple climate change impacts simultaneously and provides stress test results on future infrastructures.
Article
Multidisciplinary Sciences
Srihari Sundar, Michael T. Craig, Ashley E. Payne, David J. Brayshaw, Flavio Lehner
Summary: This study characterizes large-scale circulation patterns that drive resource adequacy failures in the Western U.S. at increasing wind and solar penetrations by integrating power system and synoptic meteorology methods. Three high pressure patterns drive nearly all resource adequacy failures at 60% renewable penetration and across analyzed weather years.
NATURE COMMUNICATIONS
(2023)
Article
Green & Sustainable Science & Technology
I Haddeland, J. Hole, E. Holmqvist, V Koestler, M. Sidelnikova, C. A. Veie, M. Wold
Summary: Hydro power inflow, wind power, solar power, and electricity demand in Norway were estimated based on meteorological data. The study found that wind power production has a higher correlation with electricity demand compared to hydro inflow and solar power. Hydro power inflow showed a significant increasing trend, while wind and solar power production were less affected by climate differences. Electricity consumption decreased slightly over the 60-year period, resulting in a significant increasing trend in long-term estimated electricity surplus. Additional available electricity is needed to maintain supply security.
Article
Business
Maximilian Auffhammer
Summary: This paper proposes a simple two-step estimation method called CARE to estimate sectoral climate damage functions with long-term adaptation. The paper applies this method to residential electricity and natural gas demand in California and shows that failing to account for extensive margin adjustment leads to a significant underestimate of future impacts on electricity consumption.
JOURNAL OF ENVIRONMENTAL ECONOMICS AND MANAGEMENT
(2022)
Article
Chemistry, Physical
Shumei Liu, Huiwei Chen, Peixue Liu, Fuzhen Qin, Ashk Fars
Summary: This article proposes a strategy using LASSO-Quantile Regression Neural Network to predict energy consumption by gathering crucial information about external factors from smart grid data to improve forecasting accuracy. Experimental evaluations demonstrate that the model provides higher accuracy for predicting electrical power demand.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Engineering, Electrical & Electronic
Dilusha Weeraddana, Nguyen Lu Dang Khoa, Nariman Mahdavi
Summary: The paper develops a cooperative ensemble framework for accurately forecasting electricity demand, splitting the problem into subtasks based on peak and off-peak conditions, and solving each subtask with multiple forecasting models. The framework is validated on real-world operational demand in the National Electricity Market of Australia, showing up to 25.4% improvement in mean absolute error (MAE) compared to state-of-the-art techniques.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Thermodynamics
Behzad Zamanipour, Hesam Ghadaksaz, Ilkka Keppo, Yadollah Saboohi
Summary: The impacts of climate change, such as water scarcity and increased air temperature, pose significant challenges for the development of the electricity supply system, particularly in countries like Iran. This study used an econometric approach to project electricity demand in Iran across four sectors, considering the impact of changing air temperature. It also investigated the effects of water scarcity on the optimal expansion of the power system, modeling each power plant unit separately using a bottom-up energy system optimization modeling platform called TIMES. The results indicate that fuel price increases significantly affect capacity and cooling technology choices, with renewables becoming more attractive in scenarios with high fuel and water prices and carbon taxes.
Article
Economics
Aditya Keskar, Christopher Galik, Jeremiah X. Johnson
Summary: Most regions in the United States experience peak electricity demand during the summer, but some regions have dual peaks in both summer and winter. Deep decarbonization of the energy system may increase the occurrence of dual or winter peaking power systems across the country. This paper provides policy recommendations for planning and addressing the challenges of winter peaking power systems, including analyzing peak demand trends, addressing resource adequacy, and navigating the regulatory framework.
Article
Thermodynamics
Haowei Jin, Jue Guo, Lei Tang, Pei Du
Summary: Predicting electricity demand is crucial for energy security. However, the low-carbon energy transition has made previous forecasting methods no longer applicable due to the bidirectional feedback between power demand and generation mix. This study combines the system dynamics model and power generation mix planning model to create a hybrid forecasting method that has smaller prediction error and can predict the collaborative evolution of electricity demand, power generation mix, and carbon emissions. Additionally, the study uses the PGMP model to modify the state transition matrix of the Markov chain, allowing for the prediction of future power generation mix and stable electricity supply.
Article
Thermodynamics
Carlos E. Velasquez, Matheus Zocatelli, Fidellis B. G. L. Estanislau, Victor F. Castro
Summary: This study examines different time series approximations and their combinations for forecasting electricity demand in Brazil, and finds that the Regression with Seasonality method performs the best. Additionally, the choice of historical data is crucial for accurate time series analysis.
Article
Green & Sustainable Science & Technology
Danna Shen, Wang-Fang Shi, Wei Tang, Yan Wang, Jun Liao
Summary: Meteorological forecasting has a significant promoting effect on agricultural economic value, with an increase in accuracy leading to an increase in agricultural economic value. Regional differences show that the western region benefits the most from meteorological forecasting in terms of agricultural economic value.
Editorial Material
Multidisciplinary Sciences
Laura Vargas-Parada
Summary: There is a strong relationship between climate and human diseases, and changes in climate may affect disease patterns. Climate modelling can be used to predict future disease outbreaks, but there are obstacles to implementing such systems.
Article
Green & Sustainable Science & Technology
Lena Gurriaran, Katsumasa Tanaka, Safak Bayram, Yiannis Proestos, Jos Lelieveld, Philippe Ciais
Summary: Rising global temperatures in the Arabian Peninsula region have led to increased demand for air conditioning, resulting in higher electricity consumption and CO2 emissions. This study focuses on Qatar as a representative country to understand the impact of future regional warming on electricity demand and CO2 emissions. The findings indicate that temperature has a relatively small effect compared to socioeconomic factors, but warming alone could increase electricity demand by 5-35% and CO2 emissions by 20-35% by the end of the century.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Gang Chen, Qingchang Hu, Jin Wang, Xu Wang, Yuyu Zhu
Summary: This paper proposes a framework that integrates machine learning techniques into regional electricity demand forecasting, aiming to improve accuracy and robustness and reduce carbon dioxide emissions.
Article
Environmental Sciences
Ali Eshragh, Benjamin Ganim, Terry Perkins, Kasun Bandara
Summary: A time series model was developed to forecast weekly peak power demand in three states of Australia, emphasizing the crucial role of environmental factors in improving forecasts. The hybrid SARIMA model exhibited excellent performance with a significant improvement in mean absolute percentage error compared to the basic SARIMA model without environmental variables. Comparison with state-of-the-art machine learning methods showed superior performance of the proposed model.
ENVIRONMENTAL MODELING & ASSESSMENT
(2022)
Article
Engineering, Multidisciplinary
S. A. Saleh, E. Ozkop, B. Nahid-Mobarakeh, A. Rubaai, K. M. Muttaqi, S. Pradhan
Summary: This paper develops a survivability-based protection for three phase permanent magnet synchronous motor drives against severe dynamic events. The proposed protection method uses a survivability index GPMSM to accurately detect, identify, and respond to dynamic events that the motor drives may not survive. Simulation and experimental testing show the effectiveness and accuracy of this protection method in preventing damage to different components of the motor drives.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Review
Chemistry, Physical
A. Z. Arsad, M. A. Hannan, Ali Q. Al-Shetwi, M. J. Hossain, R. A. Begum, Pin Jern Ker, F. Salehi, K. M. Muttaqi
Summary: Sustainable energy demand drives innovation in energy production. Electrolysis of water can produce carbon-free hydrogen from renewable sources. This paper presents a biblio-metric analysis of recent and highly referenced research on hydrogen electrolysers utilizing the Scopus database to shed insight into future trends and applications. The study explores different types of research conducted in top-ranked articles, such as problem formulation and simulations, technology assessment, laboratory research and design, performance evaluation, and reviews. The evaluation of the present state of the art, challenges, and future research will aid in building commercially successful hydrogen electrolyzers.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Engineering, Multidisciplinary
Sayem M. Abu, M. N. M. Ansari, Ali Q. Al-Shetwi, Kashem M. Muttaqi, M. A. Hannan
Summary: Supercapacitors are increasingly being used in sustainable technologies for energy conversion and storage systems, particularly in applications that require fast charge and discharge. This research focuses on the fabrication and analysis of symmetric supercapacitors with activated carbon electrodes, investigating their performance characteristics and the influence of activation temperature on the porous properties of the carbon material.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Article
Green & Sustainable Science & Technology
Naser Vosoughi Kurdkandi, Milad Ghavipanjeh Marangalu, Peyman Alavi, Amirreza Zarrin Gharehkoushan, Saeed Rahimpour, Md Rabiul Islam, Kashem M. Muttaqi
Summary: Due to concerns about air pollution, global warming, and the limitations of fossil fuels, renewable energy sources such as photovoltaic applications are being widely integrated into power generation systems worldwide. This study proposes a new switched-capacitor-based transformer-less grid-tied inverter, which utilizes a series-parallel switching technique to achieve voltage boosting capability and implements a common ground technique for high overall efficiency and leakage current elimination. The inverter provides multi-level output voltage, reducing total harmonic distortion of the injected grid current, and incorporates a control strategy for controlling both active and reactive powers. A laboratory prototype of the proposed inverter is assembled and experimental results are analyzed to evaluate its performance.
IET RENEWABLE POWER GENERATION
(2023)
Article
Engineering, Electrical & Electronic
Md. Nafiz Musarrat, Afef Fekih, Md. Ashib Rahman, Md. Rabiul Islam, Kashem M. Muttaqi
Summary: This article proposes an event-triggered sliding mode control (ETSMC)-based fault ride-through (FRT) strategy for doubly-fed-induction-generator (DFIG)-based wind turbines. The aim is to regulate the stator terminal voltage by injecting appropriate voltage to regulate it near the reference point. The proposed approach reduces computational burden, chattering phenomena, harmonic distortion, and utilizes a cost-effective DVR topology with a high-frequency isolation transformer. The effectiveness of the proposed approach is validated with a DFIG-based wind turbine connected to a test microgrid.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2023)
Review
Energy & Fuels
Md. Biplob Hossain, Md. Rabiul Islam, Kashem M. Muttaqi, Danny Sutanto, Ashish P. Agalgaonkar
Summary: As renewables are integrated into power grids, new challenges arise due to weather variations and load demands. Green hydrogen energy storage, using electrolyzers and fuel cells, is seen as a potential solution. A comprehensive review of fuel cells and electrolyzers for utilizing surplus renewable energy is presented, aiming to support the transition to a zero-carbon economy and achieve Goal 7 of the United Nations Sustainable Development.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Green & Sustainable Science & Technology
M. Faisal, Kashem M. Muttaqi, Danny Sutanto, Ali Q. Al-Shetwi, Pin Jern Ker, M. A. Hannan
Summary: Existing literature highlights the research focus on improving the energy efficiency of Wastewater Treatment Plants (WWTPs). The driving factors for this improvement include population growth, energy costs, and effluent discharge requirements. Research gaps exist in optimizing energy self-sufficiency and energy demand and cost of WWTP, particularly in pumping systems and motor technologies. This study aims to review and analyze the history, current issues, and future directions of WWTP control technologies to develop optimal and sustainable WWTP technologies.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Article
Engineering, Multidisciplinary
Joshua Then, Ashish P. P. Agalgaonkar, Kashem M. M. Muttaqi
Summary: This paper proposes a decentralised control strategy using droop-based control to vary the charging rates of electric vehicles (EVs) in real-time in response to nodal voltages, voltage unbalance and the state-of-charge (SOC). The strategy aims to mitigate excessive voltage rise and voltage unbalance in a low-voltage distribution network caused by rooftop solar photovoltaic (PV) systems and unbalanced loads. It achieves this by coordinating the control of EV chargers based on reference voltages calculated according to the location and local conditions of each charger, without the need for a common communication channel or a centralised controller.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Article
Engineering, Multidisciplinary
Md. Biplob Hossain, Md. Rabiul Islam, Kashem M. M. Muttaqi, Danny Sutanto, Ashish P. P. Agalgaonkar
Summary: This article investigates the application of PEMEL in mitigating frequency variations caused by intermittent renewable energy sources. The results show that PEMEL provides effective contribution to frequency regulation services and improves the stability and robustness of the power system.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Article
Engineering, Multidisciplinary
Md. Biplob Hossain, Md. Rabiul Islam, Kashem M. M. Muttaqi, Danny Sutanto, Ashish P. P. Agalgaonkar
Summary: This paper presents a compensation strategy based on ramp rate for mitigating solar PV intermittencies and meeting rapid load demands in grid-interactive microgrids. The strategy utilizes a hybrid multilevel storage system, including high-capacity buffer storage and short-term cache storage, to control fluctuations in solar power output and load demands over a wide range of time scales and regulate the voltage at the point of common coupling (PCC).
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Md. Minarul Islam, Kashem M. Muttaqi, Danny Sutanto, Md. Moktadir Rahman, Oscar Alonso
Summary: In many countries, grid-following inverter-based power generation systems (IBPGSs) have replaced synchronous generators (SGs) in load sharing in power grids. However, the increased use of IBPGSs can result in decreased system inertia, leading to instability and failures in grid-following IBPGSs. To maintain stability, a grid-forming IBPGS is required that can mimic SGs. This paper designs a grid-forming controller for IBPGSs and compares its performance with SGs during steady-state and transient conditions.
Article
Engineering, Electrical & Electronic
Shivam Prakash Gautam, Manish Kumar Barwar, Lalit Kumar Sahu, Satyajit Mohanty, Santanu Kumar Dash, Kashem M. Muttaqi
Summary: This study introduces a novel bidirectional hybrid T-type converter configuration that utilizes a single capacitor and proposes a new switching strategy to facilitate seamless operation in buck and normal modes. The proposed architecture also exhibits power factor correction and capacitor voltage balance.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2023)
Article
Computer Science, Information Systems
Md. Minarul Islam, Abdul Hasib Chowdhury, Md. Shafiullah, Kashem M. Muttaqi, Danny Sutanto, Taha Selim Ustun
Summary: This paper investigates the torsional resonance caused by the operation of electric arc furnaces (EAFs) in the power grid in Bangladesh. By simulating the power system in the Chittagong region, it is found that the EAF operation amplifies the torsional oscillating torques in the turbine generator shaft, with certain power plants being more vulnerable to damage.
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.
