Article
Computer Science, Information Systems
Muhammad Fawad Shaikh, Sunny Katyara, Zahid Hussain Khand, Madad Ali Shah, Lukasz Staszewski, Veer Bhan, Abdul Majeed, Shoaib Shaikh, Leonowicz Zbigniew
Summary: Distribution networks are traditionally radial and passive due to unidirectional power flow, but the installation of Distributed Generators can make the network active while also causing coordination issues with existing protection devices. This research proposes a new protection scheme using phase angle jump to add directionality to digital over-current relays, aiming to maintain selectivity level and distinguish between upstream and downstream power flows. The proposed scheme is evaluated in simulations and real-time experimental setup to verify its performance and robustness compared to other techniques.
Article
Chemistry, Multidisciplinary
Daniel Alcala-Gonzalez, Eva Maria Garcia del Toro, Maria Isabel Mas-Lopez, Santiago Pindado
Summary: The study on the impact of renewable energy sources on the protection devices of a power grid reveals that distributed generation systems may cause delays and inadequate performance in protection devices during short-circuits. Photovoltaic distributed generation has a significant impact on the reactions of protection devices in a radial distribution network.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Electrical & Electronic
Mahamad Nabab Alam, Biswarup Das, Vinay Pant
Summary: A new scheme for recloser-fuse coordination in reconfigurable radial distribution networks with distributed generations is introduced in this paper. The scheme includes a graph theory based approach and a constraint reduction strategy, with an analytical interior-point method to solve the formulated problem effectively. The effectiveness of the presented scheme is proven through comparison with conventional settings in IEEE 33 and 69 bus reconfigurable RDNs.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Energy & Fuels
Uma Uzubi Uma, Daniel Nmadu, Nnaemeka Ugwuanyi, Ogah Ekechi Ogah, Ngozi Eli-Chukwu, Marcellinus Eheduru, Arthur Ekwue
Summary: This paper proposes a novel adaptive protection coordination scheme using a neural network to automatically adjust the overcurrent relay settings in response to the adverse effects of distributed generators on conventional overcurrent protection relay coordination.
PROTECTION AND CONTROL OF MODERN POWER SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Hassan Fayazi, Bahador Fani, Majid Moazzami, Ghazanfar Shahgholian
Summary: This paper proposes a three-level protection scheme that can simultaneously consider the protection coordination of PDs and the transient stability of SDGs. By assessing the transient stability of SDGs through offline simulations, coordinating the topology of PDs, and adjusting the characteristic curves of PDs, the stability of the distribution system is ensured.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Luis Henrique Pereira Vasconcelos, Aryfrance Rocha Almeida, Bartolomeu Ferreira dos Santos Jr, Nelber Ximenes Melo, Jose Genilson Sousa Carvalho, Danillo de Oliveira Sobreira
Summary: This study proposes a method for optimizing the coordination of overcurrent relays using computational intelligence techniques for adaptive protection in the context of distributed generation. By applying a hybrid algorithm utilizing fuzzy logic and genetic algorithms, the protection system's response can be improved, system sensitivity enhanced, and relay trip times minimized without violating selectivity criteria.
ELECTRIC POWER SYSTEMS RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
Liudong Chen, Nian Liu, Songnan Yu, Yan Xu
Summary: This paper proposes a stochastic game approach for distributed voltage regulation based on autonomous PV prosumers. It introduces an economic incentive-based voltage regulation model to deal with PV uncertainties and solves the problem using a Markov decision process and probability distribution.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Computer Science, Information Systems
Younis M. Nsaif, M. S. Hossain Lipu, Afida Ayob, Yushaizad Yusof, Aini Hussain
Summary: The use of distributed generation is beneficial for reducing costs and losses, but introduces new protection challenges that require innovative solutions for increased safety and reliability. This research provides a comprehensive overview of fault detection and protection strategies in distributed networks, discussing various approaches and highlighting the need for future research directions.
Article
Energy & Fuels
Ying-Yi Hong, Ching-Wei Yu, Yih-Der Lee, Jheng-Lun Jiang, Shen-Szu Wang
Summary: This paper investigates the coordination of inverse-time overcurrent relays (OCRs) in distribution systems with uncertain distributed power generation and loads. A novel method is presented to determine fault currents using Taguchi orthogonal experiments and nonlinear optimization. Simulation results show that the proposed method outperforms the traditional point-estimation method (PEM) in terms of similarity and error indices.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2023)
Article
Engineering, Electrical & Electronic
Hadi Bisheh, Bahador Fani, Ghazanfar Shahgholian
Summary: The proposed adaptive algorithm for protection coordination of over-current relays allows maintaining relay coordination in the presence of distributed generation without restricting the output power of DGs. Simulation results demonstrate that the algorithm can keep the coordination time interval of the main and backup relays in an acceptable range for various levels of DG penetration.
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Jiangkai Peng, Bo Fan, Wenxin Liu
Summary: This paper presents a distributed optimal control scheme for DC microgrid aiming to achieve generation cost minimization and individual bus voltage regulation simultaneously. By formulating an optimal control problem and deriving necessary optimality conditions, the proposed controller dynamically drives the system to operate at optimal conditions. The performance of the controller is validated through simulations based on a switch-level microgrid model, ensuring convergence to optimal operating points while maintaining individual bus voltages within bounds.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Engineering, Electrical & Electronic
Xubin Liu, Xinyu Chen, Canbing Li, Mohammad Shahidehpour, Kai Sun, Yijia Cao, Chen Chen, Bin Zhou
Summary: This paper proposes a multi-stage voltage support optimization method to stabilize voltage, current, and power, and provide flexible power delivery capacity for microgrids with multiple distributed generations. The method includes voltage stage, current stage, and power stage, which are validated through several test cases to demonstrate its effectiveness.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Review
Energy & Fuels
Swetalina Sarangi, Binod Kumar Sahu, Pravat Kumar Rout
Summary: This paper highlights the importance and challenges of protection in DC microgrids, as well as some loopholes in current research. By systematically and chronologically reviewing DC microgrid systems, some reliable improvements have been suggested.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Engineering, Electrical & Electronic
Aihui Fu, Milos Cvetkovic, Peter Palensky
Summary: This paper proposes a novel distributed cooperation voltage regulation method for future distribution networks, which minimizes the number of agents involved and the change in required power for voltage regulation, reducing the impact on energy exchange. The method also performs online optimization, providing quick response and eliminating the need for retuning in case of failures or changes in the network.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Engineering, Electrical & Electronic
Bilal M. Eid, Josep M. Guerrero, Abdullah M. Abusorrah, Md Rabiul Islam
Summary: The integration of solar photovoltaic sources into the power grid has been rapidly increasing in recent years, presenting challenges due to its intermittent nature. In order to overcome these challenges, a voltage regulation strategy using a developed power management technique for microgrid systems has been proposed. The study revealed faster response times and lower circulating current in configuration 2, demonstrating the effectiveness of the power management technique in the operation of dispatchable and non-dispatchable distributed generators.
ELECTRICAL ENGINEERING
(2021)
Article
Engineering, Multidisciplinary
Navid Vafamand, Mohammad Mehdi Arefi, Miadreza Shafie-Khah, Joao P. S. Catalao
Summary: This article investigates the problem of estimating actuator fault and states and controlling the bus voltage in direct current microgrids (DC MGs) with linear and nonlinear constant power loads (CPLs). To solve this issue, a dual-extended Kalman filter (dual-EKF) is suggested for the fault and state estimation. For the control purpose, a linear parameter varying (LPV) model predictive control (MPC) is suggested to regulate the current and voltage of the DC MG.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Article
Green & Sustainable Science & Technology
Mehdi Esmaeili, Ali Akbar Ahmadi, Abolfazl Nateghi, Miadreza Shafie-khah
Summary: A robust power management system (RPMS) for a DC microgrid is proposed in this paper. A novel neural network-based scheme is proposed to predict the generation of PV cells using ultraviolet (UV) index, temperature, and cloud coverage, which greatly improves the prediction error compared to existing works. Another neural network predicts the demand for the microgrid. The RPMS makes decisions under the uncertainties of these prediction errors, ensuring robustness and near-optimal operation.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Engineering, Electrical & Electronic
Darwin A. Quijano, Morteza Vahid-Ghavidel, Mohammad Sadegh Javadi, Antonio Padilha-Feltrin, Joao P. S. Catalao
Summary: Electric springs (ESs) have been proven effective for integrating renewable generation into power systems. This paper proposes a price-based strategy to coordinate the operation of multiple ESs in microgrids. Smart loads consisting of ESs connected to electric water heaters are modeled as rational agents that locally optimize their own objectives by adjusting their consumption schedules in response to price/control signals. Case studies show the effectiveness of the proposed strategy to economically benefit both the microgrid and smart loads when scheduling their operation.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Social Issues
Paula Ferreira, Ana Rocha, Madalena Araujo, Joao L. Afonso, Carlos Henggeler Antunes, Marta A. R. Lopes, Gerardo J. Osorio, Joao P. S. Catalao, Joao Pecas Lopes
Summary: This paper analyzes the potential societal impacts of research projects with low technology readiness level, using the case of the ESGRIDS project as an example. The study highlights the influence of individual perceptions and organizational contexts on future developments. The analysis is translated into a technology roadmap, which outlines the time dimension for technology maturity evolution and implementation impacts.
TECHNOLOGY IN SOCIETY
(2023)
Article
Energy & Fuels
Mehdi Firouzi, Mehrdad Setayesh Nazar, Miadreza Shafie-khah, Joao P. S. Catalao
Summary: This paper presents an integrated framework for optimal resilient scheduling in an active distribution system, considering interactions among aggregators, parking lots, distributed energy resources, and Plug-in Hybrid Electric Vehicles (PHEVs) in the day-ahead and real-time markets. The impacts of traffic patterns on the available dispatchable active power of PHEVs are explored. A two-stage four-level optimization procedure is proposed to optimize the scheduling problems of PHEVs, parking lots and distributed energy resources, aggregators, and the active distribution system. The proposed algorithm reduces interruption and operating costs by 94.56% for the worst-case external shock and decreases the available ramp-up and ramp-down of parking lots by 58.61% with traffic patterns.
Article
Thermodynamics
Matthew Gough, Kush Rakhsia, Tiago Bandeira, Hugo Amaro, Rui Castro, Joao P. S. Catala
Summary: This paper presents an innovative design and implementation of an easy-to-use device for intelligent residential water heating, using machine learning techniques to forecast hot water demand and optimize the operation of an electric water heater based on non-intrusive vibration data. The device achieved an average reduction of 35.5% in water heating costs, equivalent to 1.33 kWh/day per consumer, and a decrease of 0.21% in total electricity usage. It also reduced thermal generation by 0.37% and emissions by 693.31 tons of CO2 per year.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Engineering, Industrial
Mohammad H. H. Shams, Mohammad MansourLakouraj, J. Jay Liu, Mohammad S. S. Javadi, Joao P. S. Catalao
Summary: This article presents a framework for coordinating multiple microgrids with hydrogen systems in a distribution network, considering uncertainties of wind and solar power generation and load demands. A bilevel stochastic programming problem is used to model the coordination. The model transforms into a single-level model using KKT conditions and is linearized using relaxation and linearization techniques. Both the distribution system and microgrids are treated as scenario-based stochastic problems, and scenarios are obtained from real data using a machine learning-based clustering approach. The coordinated operation model is applied to a distribution network with multiple microgrids, resulting in optimal power exchange and clearing price determination, as well as 13% higher profit for the distribution system compared to the centralized model. The effects of integrating hydrogen systems with microgrids on operator flexibility are also investigated.
IEEE INDUSTRY APPLICATIONS MAGAZINE
(2023)
Article
Computer Science, Information Systems
Pouria Sheikhahmadi, Salah Bahramara, Andrea Mazza, Gianfranco Chicco, Miadreza Shafie-Khah, Joao P. S. Catalao
Summary: This article introduces a decision-making framework for managing microgrids (MGs) and proposes the concept of local energy and reserve markets (LERMs). Optimal resource scheduling between interconnected MGs can be achieved through solving a bilevel optimization problem, while competing with other MGs. By linearizing the nonlinear terms and transforming it into a mixed-integer linear problem, a model is developed for a test system with three interconnected MGs. Additionally, the sensitivity of the results to the probability of calling reserve is investigated.
IEEE SYSTEMS JOURNAL
(2023)
Article
Energy & Fuels
Gi-Ho Lee, Jae-Young Park, Jaepil Ban, Young-Jin Kim, Joao P. S. Catalao
Summary: This paper proposes an innovative data-driven hydrogen energy storage (HES) model and develops a model predictive control strategy to support frequency regulation in a microgrid. By optimizing power sharing and responding quickly to supply-and-demand imbalances, the proposed strategy effectively reduces frequency deviations.
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2023)
Article
Energy & Fuels
Abdullah Kuersat Aktar, Akin Tascikaraoglu, Sirri Sunay Gurleyuk, Joao P. S. Catalao
Summary: The future planning of energy supply and transportation requires the consideration of various stakeholders, including institutions, distribution companies, and new technology developers. Their collaboration is crucial for anticipating and addressing potential challenges and reaping mutual benefits.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2023)
Article
Computer Science, Artificial Intelligence
Shahabodin Afrasiabi, Mousa Afrasiabi, Mohammad Amin Jarrahi, Mohammad Mohammadi, Jamshid Aghaei, Mohammad Sadegh Javadi, Miadreza Shafie-Khah, Joao P. S. Catalao
Summary: In this article, a WAMS-based load modeling method is proposed, which combines impedance-current-power and induction motor, and utilizes deep learning techniques to understand the time-varying and complex behavior of the load. The method is shown to be effective and robust in numerical experiments, and outperforms other methods significantly.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Energy & Fuels
Matthew Gough, Sergio F. Santos, Mohammad S. Javadi, Juan M. Home-Ortiz, Rui Castro, Joao P. S. Catalao
Summary: The ongoing transition of the energy system towards being low-carbon, digitized and distributed is accelerating. Distributed Energy Resources (DERs) are playing a major role in this transition. A new model called Technical Virtual Power Plant (TVPP) is introduced in this paper to address the technical limitations of the distribution system and provide economically beneficial and technically feasible operating schedules for DERs.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Morteza Vahid-Ghavidel, Mohammad Sadegh Javadi, Sergio F. Santos, Matthew Gough, Miadreza Shafie-khah, Joao P. S. Catala
Summary: This paper investigates the role of a demand response (DR) aggregator in participating in the entire electricity market on behalf of end-users. By trading acquired DR in the short-term market, the aggregator can increase flexibility and maximize profit. It is found that having an energy storage system (ESS) has a significant impact, as it provides more flexibility and allows for energy storage during low-price periods and discharge during high-price periods, increasing profit. Therefore, having an appropriately sized ESS can maximize the aggregator's profit.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Engineering, Electrical & Electronic
Ali Esmaeel Nezhad, Mohammadamin Mobtahej, Mohammad Sadegh Javadi, Pedro H. J. Nardelli, Subham Sahoo
Summary: This paper investigates a thermal management system for maintaining the longevity of large-scale batteries in microgrids. The linearization of the thermal modeling of batteries using the McCormick relaxation method is proposed. The study demonstrates the efficacy of the proposed approach through comparative analysis between linear and nonlinear models and shows significant economic benefits of energy storage unit integration in microgrids.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Green & Sustainable Science & Technology
M. Genovese, F. Piraino, P. Fragiacomo
Summary: This research proposes the concept of a hydrogen valley in southern Italy, where hydrogen is produced centrally and delivered via fuel cell hybrid trains to refueling stations, providing transportation services. The analysis from both technical and economic perspectives shows that the cost of hydrogen and energy efficiency reached competitive levels, and hydrogen rail transport offers significant benefits in terms of emissions reduction and economic gains compared to conventional diesel trains and fully electric trains.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Miaomiao Liu, Payam Nejat, Pinlu Cao, Carlos Jimenez-Bescos, John Kaiser Calautit
Summary: This article provides a critical review of the performance of windcatchers, pointing out the current research gaps and issues, and proposing directions for further investigation and market prospects.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Solomon Boadu, Ebenezer Otoo
Summary: Despite Africa's vast energy resources, including wind energy, the continent faces challenges in developing its wind energy industry. Northern African countries and South Africa currently dominate the wind energy sector in Africa. To uplift Africa's socio-economic status, strong political will, supportive policies, and institutional frameworks are needed to drive the development of wind energy and overcome existing challenges.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
E. K. Grubbs, S. M. Gruss, V. Z. Schull, M. J. Gosney, M. V. Mickelbart, S. Brouder, M. W. Gitau, P. Bermel, M. R. Tuinstra, R. Agrawal
Summary: As the global population grows, the demand for food, energy, and water will increase significantly. However, limited land availability and competition for solar resources pose challenges to resource generation technologies. In the United States, both agriculture and solar energy production have adopted densification schemes to improve yields and energy output per unit of land. This research proposes an Agrivoltaic food and energy coproduction architecture that optimizes power generation while maintaining crop productivity by implementing ideal anti-tracking during critical growth periods. This technology offers a viable pathway for widespread solar implementation throughout the contiguous United States.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Han Shao, Rui Henriques, Hugo Morais, Elisabetta Tedeschi
Summary: The integration of offshore wind energy into the electric grid provides opportunities in terms of environmental sustainability and cost efficiency, but poses challenges to power quality. This survey offers a deeper understanding of disturbance detection and classification tools, exploring root causes, disturbance locations, and algorithmic solutions. It highlights synchronized waveform measurement and discusses evaluation metrics for detection and classification algorithms. Additionally, a novel system-wide monitoring framework is proposed.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Eleni Davidson, Yair Schwartz, Joe Williams, Dejan Mumovic
Summary: A continued upward trend in global greenhouse gas emissions poses risks to global infrastructure and built assets. Maintaining high indoor environmental quality standards is a challenge for higher education institutions under future climates. Passive cooling mechanisms may be insufficient to tolerate predicted temperature increases. Different building typologies have varying energy demand projections.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Kexin Pang, Jian Zhou, Stamatis Tsianikas, David W. Coit, Yizhong Ma
Summary: This study proposes a new framework for long-term microgrid expansion planning, using deep reinforcement learning method to consider various uncertainties and constraints. The framework aims to enhance the effectiveness of microgrid expansion planning from the perspectives of economy, resilience, and greenhouse gas emission reduction.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Jun Zhao, Kangyin Dong, Xiucheng Dong
Summary: The continuous growth of global electricity penetration has provided modern energy for alleviating energy poverty, but its impact on carbon neutrality has been overlooked. The research reveals that clean electricity from traditional fossil energy and renewable energy has a positive influence on the greenhouse effect. Eradicating energy poverty can effectively alleviate the greenhouse effect, especially in non-Belt and Road Initiative (B&RI) nations.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Hossein Shahbeik, Hamed Kazemi Shariat Panahi, Mona Dehhaghi, Gilles J. Guillemin, Alireza Fallahi, Homa Hosseinzadeh-Bandbafha, Hamid Amiri, Mohammad Rehan, Deepak Raikwar, Hannes Latine, Bruno Pandalone, Benyamin Khoshnevisan, Christian Sonne, Luigi Vaccaro, Abdul-Sattar Nizami, Vijai Kumar Gupta, Su Shiung Lam, Junting Pan, Rafael Luque, Bert Sels, Wanxi Peng, Meisam Tabatabaei, Mortaza Aghbashlo
Summary: This review explores the production of biocrude oil from biomass feedstocks through the process of hydrothermal liquefaction (HTL). It discusses the impact of process parameters on the quality, quantity, cost, and environmental impacts of biofuels. The review also highlights the challenges and prospects for the future development of biocrude oil.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Meysam Majidi Nezhad, Mehdi Neshat, Georgios Sylaios, Davide Astiaso Garcia
Summary: Digital twins promise innovation for the marine renewable energy sector by using modern technological advances and the existing maritime knowledge frameworks. This research presents critical aspects of digital twin implementation challenges in marine energy digitalization approaches that use and combine data systems.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Yeganeh Sharifian, Hamdi Abdi
Summary: This paper discusses the background and objectives of the multi-area economic dispatch problem, as well as various techniques and methods applied in this field. It also covers comprehensive formulations of the problem and important issues in the field of probabilistic MAED, along with some related concepts and suggestions.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
J. G. B. Churchill, V. B. Borugadda, A. K. Dalai
Summary: The increasing global energy demand and the need to reduce fossil fuel reliance have created a demand for renewable and sustainable fuel sources. This review explores the potential of tall oil, a by-product of the pulping industry, as a feedstock for biofuels. The review provides an overview of tall oil production, purification, and treatment, and investigates recent trends and barriers towards tall oil-derived biofuels.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
David C. Broadstock, Xiangnan Wang
Summary: This study provides a general review of research on district cooling, identifying key topics and themes and highlighting potential research priorities for future studies.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
L. Scharnhorst, D. Sloot, N. Lehmann, A. Ardone, W. Fichtner
Summary: This study investigates and analyzes the barriers to demand response in industrial and commercial sectors, highlighting their significance. Concerns about diminished product quality, disruptions to production processes, human resource management, and revenue uncertainty are identified as the most frequently cited barriers. Overcoming these barriers requires bridging knowledge gaps, allocating sufficient resources, and adapting external incentives and policies.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Review
Green & Sustainable Science & Technology
Tong Feng, Yuechi Sun, Yating Shi, Jie Ma, Chunmei Feng, Zhenni Chen
Summary: Air pollution is a significant global challenge, and policymakers have implemented policies to reduce it. Evaluating the effectiveness of these policies is critical, and our study reveals trends and gaps in air pollution policy research. We found that research has shifted from focusing solely on air pollutants to including methodologies, policies, and health implications. China has emerged as a major contributor in this field of research.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
