Article
Energy & Fuels
Orkun Ozener, Onur Gezer, Muammer Ozkan
Summary: Public transport, especially Bus Rapid Transit (BRT) systems, is popular for time management in daily activities. In BRT systems, buses often gather at stations during rush hours, leading to high emissions during take-off motion. A study on the Istanbul BRT system found that an acceleration limitation based on weight and road grade could have positive effects on reducing harmful emissions.
Article
Green & Sustainable Science & Technology
Alessandro Tansini, Jelica Pavlovic, Georgios Fontaras
Summary: Plug-in hybrid electric vehicles (PHEVs) are considered favorable transitional technology for road transport electrification. However, recent studies challenge their effectiveness in reducing CO2 emissions in real-world conditions. This study tested four Euro 6 PHEVs and found that their in-use CO2 emissions can range from 0 to 6 times the official type-approval CO2 value. A three-dimensional CO2 emissions model is proposed based on charge level and average trip speed or wheel energy. The study concludes that, although real-world emissions of PHEVs may increase compared to official values, they still generally remain lower than conventional powertrains.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Thermodynamics
Harikishan Perugu, Sonya Collier, Yi Tan, Seungju Yoon, Jorn Herner
Summary: Decarbonizing transport is an important strategy for combating climate change and reducing the health impacts of air pollutants. The transit bus sector has the potential to be electrified with Battery Electric Buses (BEBs). We analyzed the energy consumption and charging patterns of BEBs based on data collected from a transit fleet, and found that factors such as bus speed and seasonal variations in energy consumption are significant.
Article
Economics
Antonio Russo, Martin W. Adler, Jos N. van Ommeren
Summary: This study examines the welfare effects of dedicated bus lanes in Rome, Italy, and finds that they can significantly reduce bus travel time. Despite the reduction in road capacity available to cars, the supply of bus lanes is still insufficient.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2022)
Article
Environmental Sciences
Omid Ghaffarpasand, Mohammad Reza Talaie, Hossein Ahmadikia, Amirreza Talaie Khozani, Maryam Davari Shalamzari, Sina Majidi
Summary: The study provides a real-world assessment of driving behavior, emission performance, and fuel consumption of urban buses in Isfahan, Iran. The research found that different driving modes, bus speeds, after-treatment systems, and passenger loads all impact emission performance and fuel consumption. Idling status was found to contribute significantly to emissions and fuel consumption.
ATMOSPHERIC POLLUTION RESEARCH
(2021)
Article
Energy & Fuels
Andrzej Ziolkowski, Pawel Fuc, Piotr Lijewski, Maciej Bednarek, Aleks Jagielski, Wladyslaw Kusiak, Joanna Igielska-Kalwat
Summary: Due to the growing ecological awareness, this study analyzed the exhaust emissions of vehicles, focusing on the impact of road type and condition, and calculated the influence of different road surfaces on fuel consumption using the carbon balance method.
Article
Engineering, Multidisciplinary
Ozgun Balci, Yasin Karagoz, Onur Gezer, Sefa Kale, Hasan Koten, Saban Pusat, Levent Yuksek
Summary: In this study, fuel consumption and CO2 maps were created using high-speed data acquisition and artificial neural networks. Hybrid and conventional vehicle models were compared on different routes, showing higher improvements with the hybrid system in urban conditions.
ALEXANDRIA ENGINEERING JOURNAL
(2021)
Article
Green & Sustainable Science & Technology
Elkhan Richard Sadik-Zada, Ernesto D. R. Santibanez Gonzalez, Andrea Gatto, Tomasz Althaus, Fuad Quliyev
Summary: The present study explores the economic perspectives of fuel cell electric buses in German public transportation and provides policy recommendations. Nine valid scenarios are proposed and the study shows that starting from 2035, fuel cell electric buses will be economically more attractive than diesel buses based on total cost of ownership analysis. Carbon pricing and subsidization of solar and wind power generation are identified as the central drivers of fuel cell-based public transportation.
Article
Environmental Studies
Ali Pourahmadiyan, Pouria Ahmadi, Erik Kjeang
Summary: This study developed a regional life cycle assessment framework to evaluate CNG and LNG as fuel alternatives for transit buses in Victoria, Canada. Results showed switching from diesel to CNG or LNG can reduce greenhouse gas emissions by 4.8% and 8.1% respectively, with the majority of emissions associated with on-board emissions.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Engineering, Multidisciplinary
Xiuning Hou, Xuemin Zhang, Shengcao Huang, Pei Xu, Ji Shen
Summary: This paper develops a comprehensive data collection system based on RFID technology, OBD, and PEMS to study the performance of tractors in the real world. The study reveals that the braking thermal efficiency of tractor engine under actual operating conditions can reach up to 45%. Engine maps accurately predict tractor fuel consumption and CO2 emissions, with MAPE and R2 values exceeding 90%. This article provides a reliable testing and prediction method for the actual performance of tractor engines.
Article
Thermodynamics
Dragan S. Sekulic, Ivan S. Ivkovic, Dusan M. Mladenovic, Davor B. Vujanovic
Summary: This study analyzes the effects of intercity bus suspension system oscillatory parameters on driver's ride comfort and road damage through simulation. Results show that different suspension system parameter values have varying impacts on the bus's vertical acceleration and dynamic load coefficient.
Article
Environmental Sciences
Zhao Wei, Lihua Huang
Summary: This study examines the impact of green finance and financial technology on economic growth using statistical data from 50 US states and regions between 1990 to 2000. The findings suggest that green financing has a positive impact on all three components of financial development, while financial technology has a favorable influence on green finance in environmental and economic dimensions, albeit with limited effects on green banking and investment performance.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Elham Heidari, Sona Bikdeli, Mohammad Reza Mansouri Daneshvar
Summary: The urban transportation sector in Iran is facing challenges of high fuel consumption and CO2 emission. This research aims to investigate the current and future emissions, compare and quantify the outcomes, and cluster the influential factors in urban transportation. A dynamic model is used to estimate the effects of urban transportation on fuel consumption, CO2 emission, and air pollution concentration in Mashhad city. The results show an increasing trend in emissions, with potential mitigation measures identified. The proposed model suggests considering alternative urban vehicle fleets to reduce emissions.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Green & Sustainable Science & Technology
Paulo J. G. Ribeiro, Jose F. G. Mendes
Summary: The emission of greenhouse gases (GHG) has been increasing steadily, with the transport sector being responsible for more than two-thirds of manmade emissions in Europe. In urban areas, replacing fossil fuel vehicles with electric ones is seen as a potential solution to decrease emissions. This research focuses on the Portuguese case study, demonstrating the financial, environmental, and health benefits of replacing the urban bus fleet with electric buses by 2034, achieving zero CO2 emissions.
Article
Energy & Fuels
Tomasz Cepowski, Andrzej Drozd
Summary: Increases in fuel prices and the need to decrease emissions have made the optimization of fuel consumption on ships more critical. This article determined the mathematical relationships between fuel consumption and operation parameters, and used data-driven approaches to develop accurate fuel consumption estimations. The relationships presented here could be invaluable for ship route optimization and air pollution studies for similarly sized container carriers.
Review
Environmental Sciences
Pengju Bie, Liang Ji, Huanxing Cui, Gang Li, Shunli Liu, Ying Yuan, Kebin He, Huan Liu
Summary: China’s emission control for nonroad diesel mobile machinery (NDMM) faces challenges of rapid stock increase and outdated regulations. This study provides a comprehensive review and evaluation of China’s NDMM policies, along with emission measurements and investigation on diesel fuel quality. The shift from China II to China IV standards greatly improved the control of NOx and PM emissions, but non-type-approved engines still exceeded the limits. The policies on new and in-use NDMM, as well as diesel fuel quality, contributed to reducing NOx and PM emissions and enhancing the competitiveness of China’s NDMM industries.
JOURNAL OF ENVIRONMENTAL SCIENCES
(2023)
Article
Environmental Sciences
Zhenyu Luo, Hailian Xu, Zhining Zhang, Songxin Zheng, Huan Liu
Summary: The lockdown policy in China during the spread of coronavirus in early 2020 severely impacted the economy and led to a significant reduction in nitrogen oxides (NOx) emissions. Satellite observations showed a sharp drop in nitrogen dioxide (NO2) levels, followed by small fluctuations and a strong rebound compared to 2019. The rebound of NO2 was mainly driven by the rapid economic recovery, particularly in the industrial and power sectors. This indicates that the emission reduction during the lockdown was offset by the economic recovery, highlighting the need for further efforts to promote low-pollution development.
JOURNAL OF ENVIRONMENTAL SCIENCES
(2023)
Review
Environmental Sciences
Shangchao Xiong, Jianjun Chen, Hao Liu, Wenzhe Si, Yue Peng, Xuecheng Wu, Huan Liu, Junhua Li
Summary: In China's building materials industry, there is an urgent need for the development of multi-pollutant emission reduction technology due to its large capacity and high contribution to global air pollution. Recent advances in flue gas emission control technology, including denitration, dust removal, and desulfurization, have been focused on along with the construction of pilot research and demonstration projects. Revised pollutant limits in flue gas emitted by China's building materials industry are proposed based on these advancements.
JOURNAL OF ENVIRONMENTAL SCIENCES
(2023)
Article
Environmental Sciences
Chunyang Yin, Hongyi Li, Yingying Cha, Shaojun Zhang, Jiee Du, Zhenhua Li, Wu Ye
Summary: The rapidly growing vehicle population is a crucial contributor to severe air pollution and public health issues, particularly in urban areas where vehicles are important sources of air pollutants. Limited studies have focused on the variability in in-vehicle concentrations of traffic-related air pollutants and the impact of filtration devices. Results indicate that using high-efficiency cabin air filters can significantly improve PM2.5 filtration efficiency, enhancing in-cabin air quality and reducing health risks for drivers.
ENVIRONMENTAL POLLUTION
(2023)
Article
Engineering, Environmental
Yunjie Wang, Yifan Wen, Shaojun Zhang, Guangjie Zheng, Haotian Zheng, Xing Chang, Cheng Huang, Shuxiao Wang, Ye Wu, Jiming Hao
Summary: Previous studies have mainly focused on agricultural ammonia emissions and neglected the impact of vehicular ammonia emissions on air quality in cities. This study developed high-resolution emission inventories for Beijing and Shanghai based on traffic data and simulated the contribution of vehicular ammonia emissions to PM2.5 concentrations. It was found that vehicular ammonia emissions accounted for a significant proportion of total anthropogenic ammonia emissions in urban areas, and could contribute to approximately 3% of urban PM2.5 concentrations during winter. Controlling vehicular ammonia emissions is an effective measure to mitigate urban PM2.5 pollution in the future.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Environmental Sciences
Tongran Wu, Yangyang Cui, Aiping Lian, Ye Tian, Renfei Li, Xinyu Liu, Jing Yan, Yifeng Xue, Huan Liu, Bobo Wu
Summary: Over the past decade, Beijing has upgraded its emission standards and fuel standards, improved vehicle structure by accelerating the elimination of old vehicles, and implemented policies to reduce the emissions of air pollutants. The results show that the emissions of four air pollutants from vehicles in Beijing decreased significantly in 2019, with the contribution of nitrogen oxides from diesel vehicles increasing. To further improve pollution control, it is necessary to promote clean and energy-saving diesel vehicles and adopt electric vehicles to reduce pollutant emissions. By the end of the 14th Five-Year Plan period, it is expected that the total emissions of the four vehicle pollutants can be further reduced.
JOURNAL OF ENVIRONMENTAL SCIENCES
(2023)
Article
Environmental Sciences
Yiliang Jiang, Xinyu Liang, Shaojun Zhang, Zechun Hu, Anders Hove, Ye Wu
Summary: The study examines the environmental benefits of electric vehicle (EV) penetration in the Beijing-Tianjin-Hebei regions by integrating different scenarios of fleet electrification with coordinated charging strategies. The results show that fleet electrification can lead to a substantial reduction in PM2.5 levels, especially in December, and the coordinated charging strategy can further improve air quality. The study emphasizes the significance of controlling ammonia emissions and prioritizing the electrification of high ammonia emitting fleets.
ENVIRONMENTAL POLLUTION
(2023)
Article
Engineering, Environmental
Yifan Wen, Min Liu, Shaojun Zhang, Xiaomeng Wu, Ye Wu, Jiming Hao
Summary: Vehicle emissions in China have been successfully decoupled from rapid motorization through comprehensive control strategies. The emission ratios of THC and NOX can vary dramatically among different seasons and provinces. While CO, THC, and PM2.5 emissions have decreased, the controls of NOX and NH3 emissions have been less efficient. Future reductions in emissions are anticipated through the deployment of new energy vehicles and stricter emission standards.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Meteorology & Atmospheric Sciences
Jiajun Liu, Qiang Zhang, Huan Liu, Hengrui Tao
Summary: This study explores the relationship between large-scale atmospheric circulation and regional air pollution in eastern China during winter by using weather types as intermediaries. The research finds that the most common circulation evolution leading to PM2.5 pollution is the southward movement of Mongolia high pressure into eastern China. Additionally, the study discovers connections between tropical Madden-Julian Oscillation, extratropical teleconnections, and weather types in eastern China, which can help predict surface weather conditions and air pollution in the region.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Multidisciplinary Sciences
Fang Wang, Shaojun Zhang, Yinan Zhao, Yunxiao Ma, Yichen Zhang, Anders Hove, Ye Wu
Summary: China has made significant progress in the electrification of passenger cars, with sales of battery electric vehicles (BEVs) surpassing 10%. A life-cycle assessment (LCA) method was used to estimate the carbon dioxide (CO2) emissions of past, present, and future BEVs, taking into account China's carbon peaking and neutrality policies. BEVs can reduce cradle-to-grave (C2G) CO2 emissions by approximately 40% compared to internal combustion engine vehicles (ICEVs) at the national-average level in 2020, and further reduction is expected by 2030 through cleaner electricity mix and advancements in battery technology and related metal materials.
Article
Environmental Sciences
Jingyu An, Cheng Huang, Dandan Huang, Momei Qin, Huan Liu, Rusha Yan, Liping Qiao, Min Zhou, Yingjie Li, Shuhui Zhu, Qian Wang, Hongli Wang
Summary: Current chemical transport models fail to accurately simulate the concentrations and temporal variations of organic aerosol (OA), specifically secondary organic aerosol (SOA), due to the exclusion of intermediate-volatility and semivolatile organic compounds (I/SVOCs) as precursors. This study incorporates a high-resolution emission inventory of I/SVOCs into the CMAQ model to simulate the concentrations, temporal variations, and spatial distributions of POA and SOA from different sources in the Yangtze River Delta (YRD) region. Results show that including I/SVOC emissions leads to significant improvements in SOA concentrations, with cooking emissions being the primary source of POA and industrial emissions being the dominant contributor to SOA formation. These findings highlight the need for tailored control measures and updated source profiles to improve air quality in the region.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2023)
Article
Engineering, Environmental
Sheng Xiang, Shaojun Zhang, Yu Ting Yu, Hui Wang, Yicheng Shen, Qiang Zhang, Zengfu Wang, Dongbin Wang, Miao Tian, Junfang Wang, Hang Yin, Jingkun Jiang, Ye Wu
Summary: A relationship between meteorological variables and the accuracy of nitrogen oxide emission factors (EFchasing) was developed. An effective ratio concept was proposed to evaluate this relationship and was found to be independent of calculation approaches. The effective ratio can be used to identify erroneous measurements and improve the accuracy of EFchasing.
ACS ES&T ENGINEERING
(2023)
Article
Engineering, Environmental
Jingran Zhang, Yiliang Jiang, Yunjie Wang, Shaojun Zhang, Ye Wu, Shuxiao Wang, Chris P. Nielsen, Michael B. McElroy, Jiming Hao
Summary: China's booming civil aviation market has led to increased aircraft emissions, which have been found to be a significant contributor to air pollution and health issues. This study used flight trajectory data to simulate the impact of aviation emissions on ground-level air pollution in China, and the results show that aviation emissions have become a major source of ambient air pollution, causing health problems in densely populated regions, especially the eastern coastal areas.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Environmental Sciences
Yongyue Wang, Qiwei Li, Zhenyu Luo, Junchao Zhao, Zhaofeng Lv, Qiuju Deng, Jing Liu, Majid Ezzati, Jill Baumgartner, Huan Liu, Kebin He
Summary: By combining high-resolution PM2.5 concentration and population distribution, this study considers indoor/outdoor exposure differences and provides personal daily PM2.5 internal dose. The study utilizes assimilation methods and mobile signaling data to determine population-weighted ambient PM2.5 concentrations and exposure diversity.
COMMUNICATIONS EARTH & ENVIRONMENT
(2023)
Article
Green & Sustainable Science & Technology
Yanhua Zheng, Fei Jiang, Shuzhuang Feng, Yang Shen, Huan Liu, Hai Guo, Xiaopu Lyu, Mengwei Jia, Chenxi Lou
Summary: This study investigates the significant impact of large-scale land-sea atmosphere interaction (LSAI) on ozone (O3) pollution in the Bohai-Yellow Seas and adjacent areas. The results demonstrate the role of LSAIs in O3 formation and pollution duration, providing valuable insights for understanding and managing O3 pollution in coastal cities.
ENVIRONMENTAL SCIENCE AND ECOTECHNOLOGY
(2024)
Article
Energy & Fuels
Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou
Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.
Article
Energy & Fuels
Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan
Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.
Article
Energy & Fuels
Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender
Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.
Article
Energy & Fuels
Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado
Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.
Article
Energy & Fuels
Duan Kang
Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.
Article
Energy & Fuels
Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang
Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.
Article
Energy & Fuels
Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi
Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.
Article
Energy & Fuels
Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong
Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.
Article
Energy & Fuels
Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song
Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.
Article
Energy & Fuels
Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz
Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.
Article
Energy & Fuels
Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He
Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.
Article
Energy & Fuels
Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang
Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.
Article
Energy & Fuels
Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung
Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.
Article
Energy & Fuels
Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu
Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.
Article
Energy & Fuels
Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen
Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.
