Article
Environmental Sciences
Xu Chen, Denise L. Mauzerall
Summary: Coal combustion for power generation contributes significantly to global CO2 emissions, with Southeast Asia experiencing rapid expansion in this sector. Planned and under-construction power plants in the region will double fossil fuel power generation capacity, potentially leading to a 72% increase in CO2 emissions by 2030. This overcapacity may result in underutilization of fossil fuel plants, while hindering renewable energy deployment.
Article
Multidisciplinary Sciences
Guangzhi Yin, Bo Li, Natalie Fedorova, Patricia Hidalgo-Gonzalez, Daniel M. Kammen, Maosheng Duan
Summary: The energy-only-market in China cannot strongly support large-scale renewable energy expansion, so capacity payments are introduced to orderly retire coal-fired power capacity and transform some into reserve capacity to support renewable energy expansion. Results show that 100-200 GW of coal-fired power capacity can continue to serve through 2050, and capacity payments of 400-700 billion yuan are needed to achieve this retirement path.
Article
Thermodynamics
Kun Su, Ziqu Ouyang, Hongliang Ding, Wenyu Wang, Jinyang Zhang, Hongshuai Wang, Shujun Zhu
Summary: This study investigated the effects of primary air ratio (Ap) and extra heat input ratio (Cehi) on self-preheating of pulverized coal in a 30 kW self-preheating burner with or without an external circulation (EC) system. It was found that lack of EC system significantly increased the temperature in the middle-lower part of the riser, while extra heat input extended this influence throughout the riser. Lack of EC system improved fuel composition conversion rates but reduced combustible gas yields. The macrostructure and microstructure were improved as Ap and Cehi increased properly, with an optimal Ap in the presence of the EC system.
Article
Economics
Zibin Zhang, Wenxin Yang, Jianliang Ye
Summary: The desulfurated electricity pricing premium program (DEPPP) has significantly reduced sulfur dioxide emissions from coal-fired power plants in China by providing strong incentives for investment in flue gas desulfurization equipment. However, the cost-effectiveness of DEPPP varies among different coal-fired power plants, and its effectiveness also relies on strengthened environmental regulatory capacities.
Article
Energy & Fuels
Xingyao Zhou, Nana Wang, Juaner Zheng, Siyu Wang
Summary: This paper discusses the policies implemented by China to promote the development of coal and electricity joint venture projects, and analyzes the implementation of these policies. It compares different policy evaluation methods and identifies the most suitable method for evaluating the effectiveness of coal and electricity joint venture policies. Finally, the paper evaluates the effectiveness of the policies by using the level of synergistic development of the coal and electricity joint venture complex system and proposes future development directions.
Article
Environmental Sciences
Yirui Deng, Guiling Cao, Zhifei Wei, Xiaofeng Xu, Li Ma, Guowei Gao
Summary: This study constructed an evaluation index system and model to assess the efficiency of energy enterprises' investment merger in the energy Internet sector and used the TOPSIS model to distinguish the differences in efficiency over different years. The validation results on international power enterprises indicate that the size of the enterprise plays a crucial role in investment merger efficiency in this field. Furthermore, the evaluation index system and method proved to be effective in evaluating and differentiating the annual investment merger efficiency of energy enterprises in the energy Internet sector.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Thermodynamics
Zecheng Liu, Wenqi Zhong, Xuejiao Liu, Yingjuan Shao
Summary: Replacing the steam cycle with the supercritical CO2 (S-CO2) cycle in coal-fired power generation improves efficiency, reduces carbon emissions, and increases renewable energy utilization. However, there is limited research on the techno-economic and environmental performance of S-CO2 power generation.
Article
Green & Sustainable Science & Technology
Tao Ma, Yijie Zhang, Wenbo Gu, Gang Xiao, Hongxing Yang, Shuxiao Wang
Summary: This study develops a mathematical model for photovoltaic battery system and proposes five operation strategies considering battery charging and simple weather predictions. The results show that purchasing more grid electricity during valley hours can increase the self-consumption rate and self-sufficiency rate. Additionally, pre-charging the battery by the grid during valley hours effectively improves the system's economic performance.
Article
Thermodynamics
Barnali Bhui, V Prabu
Summary: The use of electronic waste as oxygen carriers in chemical looping combustion can achieve high net thermal efficiency and lower electricity costs, making it suitable for power plants. Experimental results show that electronic waste-based oxygen carriers do not form complex components when interacting with fuel ash.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Engineering, Electrical & Electronic
Giulia O. S. Medeiros, Luana M. Marangon-Lima, Anderson R. de Queiroz, Jose W. Marangon-Lima, Lorena C. B. dos Santos, Maria A. Barbosa, Jairo E. Alvares
Summary: The study evaluates the impact of weight restrictions on efficiency results and conducts a sensitivity analysis of efficiency scores using additional benchmarking techniques. Results indicate that the diversity of concession areas significantly influences the stability of efficiency scores. By considering the proposed approach, an efficiency relationship among all distribution companies can be identified.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Thermodynamics
Fengjuan Wang, Jiuping Xu, Liying Liu, Guangming Yin, Jianhua Wang, Jinyue Yan
Summary: The study proposes a method to deploy grid-connected hybrid renewable energy systems to ensure cost-effective and low-pollution drinking water treatment processes. The feasibility of the model is assessed through a case study, and the analysis includes the impact of electricity pricing strategies and natural resource changes on the system.
Article
Thermodynamics
Yuzhu Chen, Dandan Zhao, Jinzhao Xu, Jun Wang, Peter D. Lund
Summary: A novel adjustable CCHP system was proposed in this study, and its thermal and adjustable performance was analyzed through energy, exergy and heat to electricity ratio. By utilizing a modified exergo-economic method, the thermal allocation ratio among system components was optimized, resulting in higher energy efficiency and heat to electricity ratio. This research presents a new way to effectively utilize solar thermal energy for district energy systems.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Engineering, Chemical
Zhenyang Wang, Yuanping Cheng, Gang Wang, Wei Zhao, Liang Wang, Guanhua Ni
Summary: The study used the low pressure argon adsorption method to investigate the geometric parameters and complexity of pore structure in coal. The results showed that decreasing particle size led to simpler pore structure, with the weight value of equivalent matrix scale having the greatest influence. The complexity evaluation index of coal samples decreased with decreasing particle size, indicating a significant impact on pore complexity characteristics.
ADVANCED POWDER TECHNOLOGY
(2022)
Article
Green & Sustainable Science & Technology
Jiangdi Bai, Pan Tan, Wenhui Chen, Junchang Liu
Summary: The study found that state-owned forest farms (SOFFs) in China have weak self-development abilities, hindered by factors such as social services, people's livelihood security, management ability, and forest resources. The self-development abilities of SOFFs are influenced by various factors in different provinces, at different development levels, and with different subordination relationships.
Article
Green & Sustainable Science & Technology
Simone Negri, Federico Giani, Nicola Blasuttigh, Alessandro Massi Pavan, Adel Mellit, Enrico Tironi
Summary: This paper introduces Renewable Energy Communities and Jointly Acting Renewable Self-Consumers as entities aiming to maximize global self-consumption and provide environmental and economic benefits. A control strategy based on Model Predictive Control is proposed to optimize energy production, storage, and consumption. Predictors including Artificial Neural Networks are developed for optimizing the prediction problem. The control performance is evaluated through numerical simulations and an economic evaluation is presented.
