Article
Green & Sustainable Science & Technology
Xianyu Yu, Zhuojia Dong, Dequn Zhou, Xiuzhi Sang, Ching-Ter Chang, Xinhuan Huang
Summary: The power industry in China is a major contributor to carbon emissions and also a key player in both the tradable green certificate market and the carbon emissions trading market. The implementation of tradable green certificate and carbon emissions trading mechanisms has positive impacts on controlling carbon emissions, promoting national emission reduction targets, optimizing the power structure, increasing renewable energy investments, and achieving sustainable development goals at the national level.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Thermodynamics
Xinyue Zhang, Xiaopeng Guo, Xingping Zhang
Summary: The establishment of carbon emissions trading (CET) and tradable green certificate (TGC) markets in China will significantly impact the bidding behavior of generation companies (GENCOs) and the low-carbon transformation of the power industry. A Nash bargaining game model was used to assess the synergy of power, CET, and TGC markets on the decision behavior of non-renewable energy GENCOs, renewable energy GENCOs, and power purchasers. The simulation results reveal the effects of transition incentives, price interactions, and profit blocking between the three markets.
Article
Green & Sustainable Science & Technology
Shuqin Xu, Qi Xu
Summary: With the goals of carbon peaking and carbon neutrality, China's renewable energy has entered a stage of rapid development. However, there is currently a big gap in the government's subsidy on new energy power generation, which is challenging to meet the demand for renewable energy consumption and sustainable development. In this regard, participating in the market is inevitable for renewable energy development, which is significant for promoting renewable energy power consumption and alleviating the subsidy dilemma.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Environmental Sciences
Linyuan Leng, Haifeng Jia, Albert S. Chen, David Z. Zhu, Te Xu, Shen Yu
Summary: The study shows that synchronized optimization of green and grey infrastructures can reduce costs and enhance the effectiveness of reducing runoff/pollutants. In the synchronous optimized scenarios, green infrastructures and grey infrastructures play different roles, contributing together to urban water resources management.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Green & Sustainable Science & Technology
Junjun Zheng, Juan Wang, Liukai Yu
Summary: This paper introduces social influence and complex networks into the evolutionary game model of the TGC market to analyze the behaviors of power producers and study the impacts of social influence, key institutional parameters, and network influence. The results show that positive intervention of public opinion is important to the early TGC market, social interactions can accelerate the evolution process, and strategies adopted by central firms significantly influence the evolution result. This paper provides new insights for policymakers and extends the research scope of the RPS scheme and the TGC market.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Economics
Arild Heimvik, Eirik S. Amundsen
Summary: This study examines the applicability and results of a Tradable Green Certificate (TGC) scheme in achieving specific greenhouse gas emission reduction targets in the electricity sector using a dynamic model. The research finds that while the TGC scheme can achieve specific dynamic emission targets, it may result in overinvestment in new green generation capacity.
Article
Green & Sustainable Science & Technology
Sizhe Yan, Weiqing Wang, Xiaozhu Li, Haipeng Lv, Tianyuan Fan, Sumaiya Aikepaer
Summary: Promoting the large-scale consumption of renewable energy and increasing the proportion of large-scale renewable energy in market transactions is crucial for achieving carbon peaking and carbon neutralization in China. This study proposes a stochastic optimal scheduling model that considers the uncertainty of renewable energy power generation. By using Stackelberg game theory, the model analyzes the complex interest relationship between different market participants and obtains a scheduling scheme that balances the interests of different participants. The model also combines the tradable green certificate trading mechanism and the carbon emission trading mechanism to optimize the overall allocation of green certificates and carbon emission rights, stimulating renewable energy generation and promoting energy conversion.
Article
Thermodynamics
Gonzalo E. Alvarez
Summary: In response to the COVID-19 pandemic, ensuring the correct supply of basic services such as electricity is crucial. This paper introduces a multi-objective procedure to enhance power system operations under pandemic circumstances, which is validated through solving test cases.
Article
Thermodynamics
Lijun Zeng, Jiafeng Wang, Laijun Zhao
Summary: This study develops an inter-provincial tradable green certificate (TGC) futures trading model that combines TGC futures with inter-provincial TGC trading, which provides an efficient and cost-effective mechanism to achieve the Chinese renewable portfolio standard (RPS) targets. The model significantly reduces the RPS target realization cost and increases renewable energy generation. Policy suggestions for the effective design of the TGC futures market and successful implementation of the RPS policy are proposed.
Article
Thermodynamics
Yun Wang, Haipeng Xie, Xiaotian Sun, Lingfeng Tang, Zhaohong Bie
Summary: This paper proposes a day-ahead collaborative power-carbon-TCG market framework and its implementation methodology to address the contradiction between the independent operation and inner connection of the power market, carbon market, and TGC market. The study finds that under this framework, total carbon emissions of the system decrease, while market shares and profits of low-emission and renewable units increase significantly, benefiting low-carbon and renewable energy companies in the long term.
Article
Energy & Fuels
Yidi Zhang, Hui Deng, Jiajia Yang, Chengwei Xu, Ziqing Zhou, Fushuan Wen, Donglian Qi
Summary: This paper presents an innovative system dynamics model to evaluate the impacts of quota variation on the trading results of the TGC market and the trend of carbon emissions in China. The proposed model takes into account factors such as power system capacity, carbon emission reduction targets, and decreasing feed-in tariffs for renewable energy generation. Real-world data simulations validate the feasibility and efficiency of the model, and potential methods for improving the design of the TGC market are explored.
FRONTIERS IN ENERGY RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Dewen Liu, Zhao Luo, Jinghui Qin, Hua Wang, Gang Wang, Zhao Li, Weijie Zhao, Xin Shen
Summary: In this paper, a multi-district integrated energy systems scheduling model considering the carbon emission trading and green certificate trading mechanisms is proposed. The feasibility of introducing these mechanisms into the integrated energy system is analyzed, and a joint trading market framework is established using a combinatorial double auction mechanism. The impacts of carbon emission trading, green certificate trading, and changes in natural gas prices on system operating costs are analyzed, and case studies demonstrate the effectiveness of the proposed model.
Article
Green & Sustainable Science & Technology
Qingyou Yan, Xingbei Ai, Jinmeng Li
Summary: This paper proposes a dispatch optimization model for virtual power plants (VPP) that considers carbon trading and green certificates to improve the economic benefits of power systems in achieving multi-energy complementation and decarbonization. The numerical results demonstrate that incorporating different factors can significantly reduce system costs and CO2 emissions, while also decreasing carbon tax costs and lowering the operating costs of VPPs.
Article
Engineering, Chemical
Zhaochu Guo, Suyang Zhou
Summary: This paper presents a multi-stage planning approach for the Cement-Industrial Integrated Energy System (Cement-IIES), considering carbon reduction technologies and changes in economic and technical parameters. The proposed method not only optimizes the system's economy and achieves carbon emission reduction, but also improves economic efficiency by 13.88% and adapts to policy changes. The low-temperature waste heat recovery technology increases energy utilization efficiency, and oxygen-enriched combustion and carbon capture technologies reduce total carbon emissions.
Article
Energy & Fuels
Yong Wang, Xiaoman Wu, Mengchen Liu, Chao Zhang, Hui Wang, Yuanyuan Yue, Xuan Luo
Summary: This paper examines the impact of green certificates and carbon trading on virtual power plants (VPPs) in the energy market. A bidding strategy model is proposed to maximize the economic benefits of VPPs, and the model is validated through simulation cases. The study finds that green certificates and carbon trading have a positive impact on VPP bidding benefits.
Article
Materials Science, Multidisciplinary
Xiujuan Chen, Guohe Huang, Chunjiang An, Renfei Feng, Yinghui Wu, Charley Huang
Summary: In this study, a superwetting and robust PES-PAA-ZrO2 nanofiltration membrane was proposed for efficient removal of PAHs in water. The membrane modification significantly reduced the water contact angle, improved wastewater treatment efficiency, and demonstrated excellent durability.
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY
(2022)
Article
Engineering, Environmental
Xiaomei Xu, Xueting Zeng, Yongping Li, Chunrong Wang, Lei Yu, Guohe Huang, Junlong Zhang, Juan Feng, Xinyu Han
Summary: The study establishes a Bayesian simulation-based multi-watershed effluent trading designing model, which can reflect parameter uncertainties in nutrient simulation, reveal detailed optimal trading schemes under the impact of uncertainties and vital factors, and identify optimal effluent trading mechanisms through revealing interaction among trading processes of multiple watersheds. The results provide a solid scientific basis for nonpoint source pollution management as well as effective sustainable development for multi-watershed region.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2022)
Article
Water Resources
J. S. Wu, Y. P. Li, J. Sun, P. P. Gao, G. H. Huang, J. Liu
Summary: The MSEP method integrates multiple global climate models and land-use models to analyze the impacts of climate and land-use changes on runoff, providing various scenarios for future runoff simulations. The study found that climate change is the leading factor in runoff variation, and controlling arable land expansion and improving irrigation efficiency can help mitigate the impact of climate change on water resources management and ecological environmental recovery.
JOURNAL OF WATER AND CLIMATE CHANGE
(2022)
Article
Water Resources
Tangnyu Song, Guohe Huang, Guoqing Wang, Yongping Li, Xiuquan Wang, Chen Lu, Zhenyao Shen
Summary: The study utilizes the developed RegCM ensemble and obtained BMA weights to generate probabilistic projections for future temperature, showing that RegCM coupled with the holtslag PBL scheme driven by HadGEM can provide relatively reliable temperature projections at most climate stations.
JOURNAL OF WATER AND CLIMATE CHANGE
(2022)
Article
Agronomy
Y. Ma, Y. P. Li, G. H. Huang, Y. F. Zhang, Y. R. Liu, H. Wang, Y. K. Ding
Summary: In this study, a copula-based bi-level decentralized programming (CBDP) method is developed and applied to planning water food-ecology (WFE) nexus system in Central Asia. The results show that improving agricultural irrigation efficiency, increasing ecological water allocation, and properly controlling water allocations to specific countries are crucial for optimizing water resource utilization and restoring the ecological environment in Central Asian countries.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Energy & Fuels
P. P. Wang, Y. P. Li, G. H. Huang, S. G. Wang
Summary: This study develops a multivariate statistical input-output model to analyze the water-carbon nexus system, and applies it to the Jing-Jin-Ji region in China. The findings reveal the complex relationship between different industries and their water and carbon consumption and emissions. The study also suggests policy implications for different industries based on their characteristics.
Article
Energy & Fuels
J. Lv, Y. P. Li, G. H. Huang, Y. K. Ding, X. Li, Y. Li
Summary: This study developed a CSMP approach to analyze the EEEN system of the Pearl River Delta urban agglomeration from 2021 to 2035, revealing a future development towards energy saving, economy, and eco-environment friendly pattern. Decisions at high risk levels would lead to high GDP, energy consumption, and CO2 emissions.
Article
Geosciences, Multidisciplinary
X. Yang, Y. P. Li, G. H. Huang, Y. F. Li, Y. R. Liu, X. Zhou
Summary: In this study, a new method (MGBC) was used to assess the impact of climate change on drought risk in the Aral Sea basin. The findings indicate that climate change will increase the level of drought risk in the basin, particularly in the middle and lower reaches. The main factors contributing to drought risk are meteorological conditions and human activities.
Article
Energy & Fuels
Yanfeng Li, Yongping Li, Guohe Huang, Rubing Zheng
Summary: This study explored the impact of electricity trading on carbon emissions in China using various models and algorithms. The results showed that inter-provincial electricity imports offset carbon emissions, while exports increased carbon emissions. Additionally, the abundant hydropower resources in certain provinces reduced the impact of electricity exports on carbon emissions. Moreover, emission reductions were only observed when electricity trading was generated from renewable sources or if the exporting province had a lower carbon intensity than the importing province at the national level.
Article
Environmental Sciences
Taishan Wang, Junlong Zhang, Yue Li, Xiaomei Xu, Yongping Li, Xueting Zeng, Guohe Huang, Peiyang Lin
Summary: This study develops a risk aversion optimization-two dimensional water trading model for planning the regional-scale water resources management system. The results show that the 2DWT mechanism can bring high benefits with reduced risk cost, water deficit, and emissions, but risk aversion behavior may lead to some losses of system benefit.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Thermodynamics
Yakui Ding, Yongping Li, Heran Zheng, Jing Meng, Jing Lv, Guohe Huang
Summary: Using the structure-based singular value decomposition method, this study examined the energy-water nexus network in the Pearl River Delta urban agglomeration from 2012 to 2015. The findings indicate that exports are the largest final demand for energy-related water and water-related energy, Shenzhen relies on other cities for E-water and W-energy, and Guangzhou's electricity and equipment manufacture drive the largest energy-water clusters.
Article
Environmental Sciences
Xiaoyang Li, Guohe Huang, Shuguang Wang, Yongping Li, Xiaoyue Zhang, Xiong Zhou
Summary: An interval two-stage fuzzy fractional programming (TFFP) method is developed to facilitate collaborative governance of economy and water resources. The method integrates interval programming, fuzzy programming, two-stage programming, and fractional programming within a general system optimization framework. A case study of Shenzhen, China is provided to demonstrate the proposed approach, showing the allocation of water resources for different sectors and districts, analysis of key pollutants and seawater desalination volume, and evaluation of economic maximization scenarios.
ENVIRONMENTAL POLLUTION
(2022)
Article
Meteorology & Atmospheric Sciences
Li Sun, Jie Sun, Yongping Li, Cai Suo, Jing Liu, Pangpang Gao
Summary: This study proposes a new method (EBICA) to evaluate the joint risk of extreme precipitation indices under climate change. The research finds that climate models are the primary source of uncertainties in predicting extreme precipitation, and predicts the future changes in extreme precipitation in Fujian Province. The findings contribute to the forecasting and warning of extreme precipitation events.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2022)
Article
Engineering, Civil
F. Wang, G. H. Huang, Y. Fan, Y. P. Li
Summary: A disaggregated multi-level factorial hydrologic data assimilation model is proposed to explore the direct and composite effects of uncertainties in hydrologic data assimilation systems. The results show that reducing streamflow observation error is the most efficient way to improve predictions, and the data assimilation scheme plays a vital role in hydrological predictions.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Toshimi Nakajima, Mao Kuragano, Makoto Yamada, Ryo Sugimoto
Summary: This study compared the contribution of submarine groundwater discharge (SGD) to river nutrient budgets at nearshore and embayment scales, and found that SGD-derived nutrients become more important at larger spatial scales.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Fan Liu, Lei Zhang, Chongyang Zhang, Ziguang Chen, Jingguang Li
Summary: NO2 emissions from wall-mounted gas stoves used for household heating have become a significant source of indoor pollution in Chinese urban areas. The high indoor concentration of NO2 poses potential health risks to residents. It is urgently necessary to establish relevant regulations and implement emission reduction technologies to reduce NO2 emissions from wall-mounted gas stoves.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Letter
Environmental Sciences
Hans Peter H. Arp, Raoul Wolf, Sarah E. Hale, Sivani Baskaran, Juliane Gluege, Martin Scheringer, Xenia Trier, Ian T. Cousins, Harrie Timmer, Roberta Hofman-Caris, Anna Lennquist, Andre D. Bannink, Gerard J. Stroomberg, Rosa M. A. Sjerps, Rosa Montes, Rosario Rodil, Jose Benito Quintana, Daniel Zahn, Herve Gallard, Tobias Mohr, Ivo Schliebner, Michael Neumann
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Philomina Onyedikachi Peter, Binessi Edouard Ifon, Francois Nkinahamira, Kayode Hassan Lasisi, Jiangwei Li, Anyi Hu, Chang-Ping Yu
Summary: This study investigates the relationship between dissolved organic matter (DOM) and Rare Earth Elements (REEs) in sediments from Yundang Lagoon, China. The results show four distinct fluorescent components, with protein-like substances being the most prevalent. Additionally, the total fluorescence intensity and LREE concentrations exhibit a synchronized increase from Outer to Inner to Songbai Lake core sediments. The findings demonstrate a strong correlation between DOM content and pollution levels.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Surya Gupta, Pasquale Borrelli, Panos Panagos, Christine Alewell
Summary: The objective of this study is to incorporate soil hydraulic properties into the erodibility factor (K) of USLE-type models. By modifying and improving the existing equations for soil texture and permeability, the study successfully included information on saturated hydraulic conductivity (Ksat) into the calculation of K factor. Using the Random Forest machine learning algorithm, two independent K factor maps with different spatial resolutions were generated. The results show that the decrease in K factor values has a positive impact on the modeling of soil erosion rates.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Jesmin Akter, Wendy J. M. Smith, Yawen Liu, Ilho Kim, Stuart L. Simpson, Phong Thai, Asja Korajkic, Warish Ahmed
Summary: The choice of workflow in wastewater surveillance has a significant impact on SARS-CoV-2 concentrations, while having minimal effects on HF183 and no effect on HAdV 40/41 concentrations. Certain components in the workflow can be interchangeable, but factors such as buffer type, chloroform, and homogenization speed can affect the recovery of viruses and bacteria.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Yu Luo, Xueting Yang, Diwei Wang, Hongmei Xu, Hongai Zhang, Shasha Huang, Qiyuan Wang, Ningning Zhang, Junji Cao, Zhenxing Shen
Summary: Atmospheric PM2.5, which can generate reactive oxygen species (ROS), is associated with cardiorespiratory morbidity and mortality. The study found that both the mass concentration of PM2.5 and the DTT activity were higher during the heating season than during the nonheating season. Combustion sources were the primary contributors to DTT activity during the heating season, while secondary formation dominated during the nonheating season. The study also revealed that biomass burning had the highest inherent oxidation potential among all sources investigated.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Erin L. Murphy, Leah R. Gerber, Chelsea M. Rochman, Beth Polidoro
Summary: Plastic pollution has devastating consequences for marine organisms. This study uses a trait-based framework to develop a vulnerability index for marine mammals, seabirds, and sea turtles in Hawai'i. The index ranks 63 study species based on their vulnerability to macroplastic pollution, providing valuable information for species monitoring and management priorities.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Kenji Maurice, Amelia Bourceret, Sami Youssef, Stephane Boivin, Liam Laurent-Webb, Coraline Damasio, Hassan Boukcim, Marc-Andre Selosse, Marc Ducousso
Summary: Growing pressure from climate change and agricultural land use is destabilizing soil microbial community interactions. Little is known about microbial community resistance and adaptation to disturbances, hindering our understanding of recovery latency and implications for ecosystem functioning. This study found that anthropic disturbance and natural disturbance have different effects on the topology and stability of soil microbial networks.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Yunhao Li, Yali Feng, Haoran Li, Yisong Yao, Chenglong Xu, Jinrong Ju, Ruiyu Ma, Haoyu Wang, Shiwei Jiang
Summary: Deep-sea mining poses a serious threat to marine ecosystems and human health by disturbing sediment and transmitting metal ions through the food chain. This study developed a new regenerative adsorption material, OMN@SA, which effectively removes metal ions. The adsorption mechanism and performance of the material for metal ion fixation were investigated.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Antonio Medici, Margherita Lavorgna, Marina Isidori, Chiara Russo, Elena Orlo, Giovanni Luongo, Giovanni Di Fabio, Armando Zarrelli
Summary: Valsartan, a widely used antihypertensive drug, has been detected in high concentrations in surface waters due to its unchanged excretion and incomplete degradation in wastewater treatment plants. This study investigated the degradation of valsartan and identified 14 degradation byproducts. The acute and chronic toxicity of these byproducts were evaluated in key organisms in the freshwater trophic chain.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Jiang Lin, Lianbao Chi, Qing Yuan, Busu Li, Mingbao Feng
Summary: This study investigated the photodegradation behavior and product formation of two representative pharmaceuticals in simulated estuary water. The study found that the formed transformation products of these pharmaceuticals have potential toxicity on marine organisms, including oxidative stress and damage to cellular components.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Hua Fang, Dongdong Jiang, Ye He, Siyi Wu, Yuehong Li, Ziqi Zhang, Haoting Chen, Zixin Zheng, Yan Sun, Wenxiang Wang
Summary: This study revealed that exposure to lower levels of air pollutants led to decreased pregnancy rates, with PM10, NO2, SO2, and CO emerging as the four most prominent pollutants. Individuals aged 35 and above exhibited heightened susceptibility to pollutants.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Ali Shaan Manzoor Ghumman, Rashid Shamsuddin, Amin Abbasi, Mohaira Ahmad, Yoshiaki Yoshida, Abdul Sami, Hamad Almohamadi
Summary: In this study, inverse vulcanized polysulfides (IVP) were synthesized by reacting molten sulfur with 4-vinyl benzyl chloride, and then functionalized using N-methyl D-glucamine (NMDG). The functionalized IVP showed a high mercury adsorption capacity and a machine learning model was developed to predict the amount of mercury removed. Furthermore, the functionalized IVP can be regenerated and reused, providing a sustainable and cost-effective adsorbent.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Rita Bonfiglio, Renata Sisto, Stefano Casciardi, Valeria Palumbo, Maria Paola Scioli, Erica Giacobbi, Francesca Servadei, Gerry Melino, Alessandro Mauriello, Manuel Scimeca
Summary: This study investigated the presence of aluminum in human colon cancer samples and its potential association with biological processes involved in cancer progression. Aluminum was found in tumor areas of 24% of patients and was associated with epithelial to mesenchymal transition (EMT) and cell death. Additional analyses revealed higher tumor mutational burden and mutations in genes related to EMT and apoptosis in aluminum-positive colon cancers. Understanding the molecular mechanisms of aluminum toxicity may improve strategies for the management of colon cancer patients.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)