Article
Environmental Sciences
Junna Yan, Zhonghua Zhang, Mingli Chen, Tao Lin, Ke Yuan
Summary: Urban regions are the main carbon emitters in China, and studying the driving factors between urban regions is important for reducing carbon emissions. This paper used improved models and analysis methods to study the driving factors of CO2 emissions spatial differences among four municipalities, and found that structural factors played an increasingly important role. Based on the results, policy implications applicable to cities were formulated.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Economics
Louis de Mesnard
Summary: In input-output analysis, the Leontief and Ghosh models are used to determine price indexes for analyzing inter-industry inflation. Despite the debated merits, both models provide the same solution. However, it is found that the calculation of price indexes using these models is unnecessary, as the price index vector alone satisfies the accounting identities without assuming constant coefficients. Therefore, price indexes can be derived instantly, without the need for a round-by-round process. Research on price indexes deduced from the Leontief or Ghosh model becomes pointless as it suffices to study the price indexes derived from the data. These findings are illustrated with an application for France in 2018. The same applies to prices given in physical quantities.
ECONOMIC SYSTEMS RESEARCH
(2023)
Article
Thermodynamics
Xue Yang, He Xu, Bin Su
Summary: The study established Aggregate Energy Intensity (AEI) as a measure of global sustainable energy resource utilization. Results showed a 9% decline in global AEI from 2000 to 2014. Most regions experienced a decline in AEI, while a few saw an increase due to higher AEI and consumption proportion in carbon-intensive sectors. Critical factors for increased AEI in certain sectors were domestic energy intensity and import share.
Article
Business
Cristian Mardones, Andres Velasquez
Summary: By simulating subsidies to R&D in Chile, the study finds that an increase in R&D subsidies may slightly reduce prices, increase production, employment, and emissions at the sectoral level. However, the fiscal expenditure required to finance this subsidy is greater than the stimulus on national production, suggesting an increase in the rate of R&D subsidy according to the availability of fiscal resources.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2021)
Article
Economics
Bin Su, B. W. Ang, Ya-Fang Sun
Summary: The study finds that data treatment of imports has insignificant impacts on emission changes at the national level but significant impacts at the sectoral level. The sign change of the input imports effect or demand imports effect can lead to opposite outcomes in emissions.
Article
Economics
Junna Yan, Yingzhu Li, Bin Su, Tsan Sheng Ng
Summary: The research found that China's energy use exhibits significant regional characteristics, with the Eastern region making the largest contribution. Regional energy use is significantly influenced by investment, consumption, and exports, and is also impacted by sectoral energy intensity and domestic production structure.
Article
Thermodynamics
Xiaomei Zhang, Bin Su, Jun Yang, Jianhui Cong
Summary: This study uses an input-output framework to analyze the changes in energy consumption and intensity in Shanxi Province, China. The results show that investment and private consumption are the largest contributors to embodied energy consumption, while the construction and mining sectors have the greatest impact. The study also highlights the importance of long-term policies that promote regional economic transformation and development based on the characteristics of the region's resource endowment.
Article
Green & Sustainable Science & Technology
Guomin Li, Duo Xu, Qi Wang, Ziying Jia, Wei Li, Bin Su
Summary: This study used an environment extended input-output model to calculate the aggregate embodied carbon intensity (AECI) of Shanxi Province in different years and analyze its contributors and drivers. The results showed that outflow to other provinces became the primary contributor to AECI change after 2012, and the sectors of electricity, construction, mining, and metallurgy contributed the most to AECI. The main driver of AECI change shifted gradually from energy intensity to production structure and final demand factors.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Energy & Fuels
Yongyou Nie, Yunhuan Gao, He He
Summary: This paper analyzes the relationship between carbon emissions and the Chinese economy from a supply-side perspective by constructing an environmentally extended semi-closed Ghosh input-output model with an endogenized household sector. The results show that the electricity, gas, and water supply sector has the highest carbon emission intensity enabled by primary inputs, and the household sector has a significant indirect effect on this intensity. The study highlights the importance of addressing carbon emissions and adjusting the allocation structure from a supply perspective.
Article
Thermodynamics
Ya-Fang Sun, Shiwei Yu, Yue-Jun Zhang, Bin Su
Summary: A study finds that the imports dependency of China has decreased from 27% to 14% between 2007 and 2020, but its impact on the embodied energy consumption in final demands remains unresolved. By employing environmentally extended input-output analysis and structural decomposition analysis, this research explores the effects of import changes. At the national level, the input imports effect contributes about 15% to the growth of embodied energy consumption, while the demand imports effect contributes no more than 5%. At the sectoral level, the input imports effect occurs mainly through the metals sector from the supply side, but mainly through the electrical and optical equipment sector from the demand side. The study also identifies critical supply chains that can facilitate the input imports effect, and highlights the sectors through which the demand imports effect primarily occurs.
Article
Environmental Studies
Miguel A. Martinez-Garcia, Carmen Ramos-Carvajal, Angeles Camara
Summary: The war in Ukraine and the sanctions on Russia have caused an energy crisis in Europe due to rising fossil fuel prices. The impact on European economies varies across countries and sectors.
Article
Green & Sustainable Science & Technology
Bin Su, B. W. Ang, Yu Liu
Summary: This paper discusses spatial aggregation issues in the MRIO model and presents an empirical study on regional embodied emissions. The study finds that spatial aggregation has a greater impact on sectoral results than regional results, which is significant for regional emission studies.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Alexandros Gkatsikos, Konstadinos Mattas
Summary: Climate change, water shortages, and desertification pose threats to economic and environmental sustainability in the Mediterranean region. Mediterranean countries are working on water policies to ensure agricultural resilience and water preservation. The study focuses on the water sustainability of a water-scarce Mediterranean region, highlighting the importance of balancing economic growth with environmental protection.
Article
Environmental Studies
Muhammad Azam, Ben Zaied Younes, Ahmed Imran Hunjra, Nazim Hussain
Summary: This paper examines the environmental performances of eight geographic regions of China from 2006 to 2014 using a Spatial-Temporal decomposition approach to production. The results show that the economic and energy usage efficiency are high, indicating above-average performance. However, most regions have below-average performances in terms of carbon intensity, GDP gap, and economic efficiency. Special attention should be given to energy use production structure and product innovation to achieve desirable output and technical efficiency.
Article
Economics
Michiyuki Yagi, Shunsuke Managi
Summary: This study analyzes the impact of rising energy prices caused by the Russian invasion of Ukraine on other sectors. The results show that a 20% price increase exclusively in Russia's mining and quarrying sector has minimal global effect, but a 20% price increase in every sector globally leads to a 3.15% rise in global prices and significant damage to monthly GDP. Due to a five-month increase in oil prices, the world suffered around 2.85% of annual GDP loss, equivalent to a 5-fold price change in the Russian mining and quarrying sector alone.
ECONOMIC ANALYSIS AND POLICY
(2023)
Article
Economics
Bin Su, B. W. Ang
Summary: Input-output analysis is widely used in national energy and emission studies. By using monthly data, this study proposes an I-O analysis framework that captures temporal dynamics in energy and emission embodiments. An application study using China's 2018 datasets reveals the importance of temporal dynamics in studying embodiments and AEI indicators.
Editorial Material
Engineering, Industrial
Peng Zhou, Yi-Ming Wei, Andreas Loeschel, Bin Su, Hui Wang
FRONTIERS OF ENGINEERING MANAGEMENT
(2022)
Article
Green & Sustainable Science & Technology
Sheng Zhong, Bin Su
Summary: This paper uses a unified gravity model framework and focuses on various policy measures to analyze the determinants of natural resource flows. The results show that open trade policy is a key factor in increasing resource exports, while improving resource efficiency reduces exports. In addition, environmental policies also play a role. These findings can help policymakers better manage the trade-offs between economic growth, resource security, and environmental consequences.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Environmental Sciences
Guoxing Zhang, Jilei Han, Bin Su
Summary: The Chinese experience in economic development and environmental protection serves as an important reference for other developing countries. However, there is a lack of studies examining the changes in nitrogen oxide (NOx) emissions and intensity in China. This study analyzes the socioeconomic factors and patterns behind the changes in NOx emissions and intensity, considering cleaner production and end-of-pipe treatments. The results show that the construction industry contributes the most to NOx emissions and intensity, followed by transportation. The reduction in emission intensity, achieved through end-of-pipe treatments and energy efficiency improvements, is the primary driver of NOx emissions and intensity reduction. The study also identifies the construction and building materials industry, transportation, and other services industry as critical sectors for future NOx reduction. The findings provide policy implications and recommendations for future developments.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Green & Sustainable Science & Technology
Cuixia Gao, Simin Tao, Bin Su, Isaac Adjei Mensah, Mei Sun
Summary: This study examines the coopetition relations in terms of renewable energy trade among BRI countries by constructing a two-layer network model for 1996-2018. The findings show that the evolutionary patterns between cooperation network and competition network are different but with a declining gap. Additionally, the BRI policy promotes cooperation more effectively than competition, and China's competitive position has been reinforced.
Article
Energy & Fuels
Alberto Costa, Tsan Sheng Ng, Bin Su
Summary: Renewable energy provides an excellent opportunity to improve living standards, especially in high-density urban systems. Considering the competing objectives of multiple stakeholders, an efficient robust-optimization approach is proposed for long-term solar PV planning, aiming to maximize the economic surplus between producers and consumers. The study used Singapore as a case study, and the results showed that the model's projections were compatible with existing assumptions.
Article
Thermodynamics
Ya-Fang Sun, Shiwei Yu, Yue-Jun Zhang, Bin Su
Summary: A study finds that the imports dependency of China has decreased from 27% to 14% between 2007 and 2020, but its impact on the embodied energy consumption in final demands remains unresolved. By employing environmentally extended input-output analysis and structural decomposition analysis, this research explores the effects of import changes. At the national level, the input imports effect contributes about 15% to the growth of embodied energy consumption, while the demand imports effect contributes no more than 5%. At the sectoral level, the input imports effect occurs mainly through the metals sector from the supply side, but mainly through the electrical and optical equipment sector from the demand side. The study also identifies critical supply chains that can facilitate the input imports effect, and highlights the sectors through which the demand imports effect primarily occurs.
Article
Economics
Ibrahim Ahmed Eldowma, Guoxing Zhang, Bin Su
Summary: Electricity access in Sudan is a major challenge for economic development due to rapid population growth and climate variabilities. This study explores the relationship between electricity consumption, carbon dioxide emissions, total population, and economic growth from 1971 to 2019. The findings reveal that despite Sudan's abundant energy resources, it has failed to provide sufficient electricity for economic development and population demand. The study emphasizes the need for policy reforms to ensure affordable electricity access and environmentally-friendly development.
Article
Green & Sustainable Science & Technology
Wei Li, Qi Wang, Baihui Jin, Guomin Li, Bin Su
Summary: This study used a multiregional input-output (MRIO) model and structural decomposition analysis (SDA) to examine the spatiotemporal evolution and driving forces of embodied carbon emissions in Shanxi Province, China. The study revealed that Shanxi had significant net embodied carbon outflow in interprovincial trade, driven by technological level and trade demand. The highest contributors to net embodied carbon outflow were electricity and heat production and supply, metal smelting and rolling processing, and petroleum processing, coking, and nuclear fuel processing. The study provides insights for formulating carbon reduction policies in energy-rich regions.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Thermodynamics
Liming Chen, Yuanyuan Zhao, Rui Xie, Bin Su, Yue Liu, Renfei Xv
Summary: The construction industry is crucial for global economic development and has a significant impact on global energy consumption. Energy conservation is essential for sustainable development worldwide. This paper analyzes the reasons behind the industry's high energy consumption based on the perspective of embodied energy intensity (EEI) in the global construction sector. The study utilizes a multi-regional structural path analysis model to explore the path of EEI in the industry, showing that the second layer is the main path and the higher layers play an increasingly critical role.
Article
Management
Jidong Kang, Zhuochun Wu, Tsan Sheng Ng, Bin Su
Summary: This study develops a stochastic-robust optimization model for inter-regional power system planning, considering two levels of decision makers and different levels of data uncertainties. The model is applied in the ASEAN power system planning, showing cost savings and improved robustness compared to existing practices.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Piaopeng Song, Yuxiao Gu, Bin Su, Arifa Tanveer, Qiao Peng, Weijun Gao, Shaomin Wu, Shihong Zeng
Summary: The aim of this study is to explore the relationship between green technology R&D investment and corporate performance, using a threshold regression model on 44 Beijing-listed energy companies from 2016 to 2021. The results indicate an inverse W-shaped nonlinear relationship between green technology R&D investment and firm performance, suggesting a positive effect within an appropriate investment interval and a negative effect outside this interval. The study also examines the impact of three threshold variables (firm size, capital structure, and capital density) on this relationship, finding optimal intervals for each variable. Furthermore, the study reveals a lagged effect of green technology R&D investment intensity on firm performance, with the positive influence weakening over time and the negative influence becoming more prominent.
Article
Economics
Bin Su, B. W. Ang
Summary: Structural decomposition analysis (SDA) is a well-known approach for studying the factors contributing to changes in aggregate indicators in energy and emissions studies. This paper proposes an additive SDA framework and a multiplicative SDA framework that incorporate monthly data to reveal the drivers of temporal dynamics in energy/emissions embodiments and aggregate embodied intensity indicators. An empirical study conducted using China's 2018 and 2020 input-output tables shows that the increased granularity of data helps reveal temporal dynamics mechanisms that would otherwise be overlooked.
Article
Economics
Guoxing Zhang, Lin Shen, Bin Su
Summary: This paper examines the response of urban and rural residents in a China's northwestern province to temperature changes in terms of electricity consumption, and uncovers its impact on daily electricity consumption inequality between these two groups. The study findings show that the urban response function exhibits a U-shaped distribution, while that of rural residents demonstrates a fluctuating upward trend. When the daily mean temperature falls below 24°C, the gap between urban and rural electricity consumption increases. During the Spring Festival, the negative effects of extremely low temperatures will be reduced, while at the end of October, they will be increased.
Article
Environmental Sciences
Yingzhu Li, Yingchao Lin, Bin Su
Summary: Carbon abatement efforts in China have reached the sub-national level. This study analyzed carbon emissions and intensity in Zhejiang province, finding that carbon emissions have been decreasing and carbon intensity has nearly halved. The improvements are mainly attributed to energy and carbon abatement policies, as well as a decrease in emission-intensive products from other regions of China.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
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.
