Results 101 to 110 of about 18,988 (294)

Unit Commitment Optimization Model Considering Impact of Multiple Operating Conditions on Unit Life Loss

Shanghai Jiaotong Daxue xuebao
Thermal power units face a dilemma of accelerated lifespan degradation and extended service duration. On one hand, large-scale integration of new energy sources has increased peak shaving conditions and accelerated losses of the units. On the other hand,
LUO Yifu, HU Qinran, QIAN Tao, CHEN Tao, ZHANG Yuanshi, ZHANG Fei, WANG Qi
doaj   +1 more source

Development‐based In Vivo Bioreactor Strategy for Challenging Senescent Bone Reconstruction

Advanced Science, EarlyView.
We present a development‐based in vivo bioreactor strategy to generate rejuvenated bone grafts (vBR‐Bone) within aged hosts. By enclosing vBR‐Bone fragments within an asymmetric biomimetic periosteum, segmental femoral defects in aged mice were successfully repaired within 6 weeks. Mechanistically, the multifactors of vBR‐Bone reconstitute a remodeling
Wenchao Zhang, Kai Dai, Tong Shen, Zehua Gao, Fengying Yan, Yuke Feng, Xuanlin Wang, Shaozhen Zhang, Jing Wang, Changsheng Liu   +9 more
wiley   +1 more source

Hierarchical Optimization Strategy for Integrated Water–Wind–Solar System Considering Load Control of Electric Vehicle Charging Stations

Energies
For a high proportion of new energy with access to the grid, the typical random volatility of wind power and photovoltaic output greatly increases the peak load of the grid; in addition, the problem of wind and solar abandonment needs to be solved.
Junyi Yu, Siyang Liao, Jie Zhang
doaj   +1 more source

Research on methods and scale of deeply exploitable hydropower resources [PDF]

E3S Web of Conferences
Deep development of hydropower is an important measure to optimize the structure of clean energy, meet the peak shaving and backup needs of the power system, and achieve the national dual carbon goals.
Wang Fei, Liu Yusheng, Li Qilong, Xu Da, Yu Jialiang   +4 more
doaj   +1 more source

Feasibility study of fuel cell residential energy stations [PDF]

, 2003
Thesis (S.M.M.O.T.)--Massachusetts Institute of Technology, Sloan School of Management, Management of Technology Program, 2003.Includes bibliographical references.This electronic version was submitted by the student author.
Tsay, David, 1967-
core  

Cars2‐Mediated Cysteine Catabolism Drives Brown Fat Development and Thermogenesis Through Persulfidating EBF2

Advanced Science, EarlyView.
We demonstrate that Cars2, a cysteine catabolic enzyme in mouse iBAT, is critical for cold tolerance and brown adipocyte differentiation. Through its CPERS activity, Cars2 produces CysSSH/H2S to induce EBF2 persulfidation, promoting its interaction with PPARγ and BRG1 to enhance thermogenic gene expression.
Xin Peng, Hongyong Song, Yin Long, Kaimin Wu, Yinkun Fu, Wenkai Zhou, Wenyan Li, Zhe Shi, Xu‐Yun Zhao   +8 more
wiley   +1 more source

Integrating Electrical Heating Fluidized-Bed Heat Storage with Coal-Fired Power Plant for Deep Peak Shaving

Energies
An electrical heating fluidized-bed thermal energy storage (EH-FB-TES) system is proposed for integration with a coal-fired power plant (CFPP) for deep peak shaving (DPS) due to its high energy storage density and extensive heat exchange performance. The
Haodan Chen, Yifei Zhang, Wenhan Li, Keying Li, Yang Zhang, Hai Zhang, Junfu Lyu   +6 more
doaj   +1 more source

A Wolter type I LAMAR [PDF]

Observational objectives for the LAMAR and their influence on the instrument design are discussed. It is concluded that the most important design parameter is the angular resolution of the LAMAR modules since it so strongly influences sensitivity ...
Catura, R. C., Joki, E. G.
core   +1 more source

Integrating Radiomics and Computational Pathology to Predict Early Recurrence of Pancreatic Ductal Adenocarcinoma and Uncover Its Biological Basis in Tumor Microenvironment

Advanced Science, EarlyView.
Accurate prediction of early recurrence in pancreatic ductal adenocarcinoma is vital for optimizing treatment. A novel, integrated radiomics‐pathology machine learning model successfully forecasts recurrence risks by analyzing preoperative CT images and computational pathology.
Sihang Cheng, Fuze Cong, Shenbo Zhang, Rui Lv, Wenjia Zhang, Xinyi Ke, Juncheng Wu, Zhonghe Zhao, Kui Zhao, Di Dong, Ruofan Zhang, Zhengyu Jin, Max Seidensticker, Zhiwei Wang, Huanwen Wu, Xianlin Han, Nan Hong, Huadan Xue   +17 more
wiley   +1 more source

Investigation on Hydrodynamic Performance and Wall Temperature of Water-Cooled Wall in 1000 MW Boiler Under Low-Load Conditions

Energies
To enhance the peak-shaving capability of a boiler, a mathematical model of hydrodynamic and wall temperature characteristics for the water-cooled wall of a 1000 MW boiler was established.
Peian Chong, Xiaolei Zhu, Jianning Li, Xiao Li, Lei Deng   +4 more
doaj   +1 more source