Bo Sun

Shandong University

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Chenghui Zhang

Shandong University

Fan Li

Shandong University

Lizhi Zhang

Shandong University

Chenghui Zhang

Shandong University

Ronald Wennersten

Shandong University

Haoran Li

Shandong University

Xing Dong

Shandong University

Che Liu

Shandong University

Qie Sun

Shandong University

Laurent Li

Sorbonne Université

Cooperative Institutions

Shandong University

Chinese Academy of Sciences

University of Maine

University of Chinese Academy of Sciences

Research Institute of Petroleum Exploration and Development

Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung

Centre National de la Recherche Scientifique

Tsinghua University

North China Electric Power University

China University of Petroleum, Beijing

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Nano-engineering enabled heat pipe battery: A powerful heat transfer infrastructure with capability of power generation

Applied Energy (2023)

Tong Tian Xinyue Wang Yang Liu Xuan Yang Bo Sun

Condenser (optics)

10.1016/j.apenergy.2023.121520

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Citations (4)

Experimental study of surface texture and resonance mechanism of booming sand

Science in China Series D Earth Sciences (2007)

Jianjun Qu Kecun Zhang Bo Sun Shengxiang Jiang Guangrong Dong

Texture (cosmology)

Acoustic resonance

10.1007/s11430-007-0062-4

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Citations (0)

Comprehensive Benefit/Cost Analysis of Utilizing PEV Parking Lots as Virtual Energy Storage for the Energy Supply Sustainability of Future Distribution Systems

Frontiers in Energy Research (2021)

Bo Zeng Bo Sun Hongwei Mu Yuqing Wang Xuan Wei

The proliferation of plug-in electric vehicles has led to increased public charging infrastructure in cities worldwide. Grid-connected parking lot spaces are the most common charging option due to their technological readiness and convenience of adoption. Since the batteries aggregated by parking lots can be regarded as virtual energy storage, grid-connected parking lots are expected to provide many benefits to the urban distribution grid. This paper proposes a comprehensive methodological framework to evaluate the potential benefits and costs of utilizing grid-connected parking lot infrastructures to promote energy supply sustainability in future power distribution grids. Capacity-value-based and cost-effectiveness indexes are developed, which quantify the potential contribution of parking lots to power supply reliability and the associated economic implications. To realistically describe the available generation capacity of parking lot resources, a comprehensive model is presented, which explicitly considers the impact of external stimuli (incentive rates) on the behavioral patterns of lot users. Vehicle user responsiveness to incentive grades is derived from social field surveys. To conduct the evaluation, a hybrid algorithm based on Monte Carlo simulations is employed. The proposed methodology is illustrated on a real distribution grid in Beijing. The results confirm the effectiveness of our proposed approach and support practical policy suggestions.

10.3389/fenrg.2021.686890

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Citations (3)

Model Predictive Control Optimization Strategy for Integrated Energy Systems: A Two-stage Dual-loop Optimization Framework

IEEE Transactions on Sustainable Energy (2024)

Xing Dong Chao Jiang Jibin Liu Daduan Zhao Bo Sun

Model Predictive Control

Dual loop

System optimization

10.1109/tste.2024.3409370

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Is monochloramine pre-oxidation a viable strategy for enhancing the treatment efficiency of algae-laden water with conventional drinking water treatment process?

Chemosphere (2024)

Han Liu Huanyu Lv Hangzhou Xu Dandan Rao Jian Zhang

Oxidation process

10.1016/j.chemosphere.2024.141312

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Citations (7)

Deep integration planning of sustainable energies in district energy system and distributed energy station

Renewable and Sustainable Energy Reviews (2021)

Haoran Li Chenghui Zhang Bo Sun

Component (thermodynamics)

10.1016/j.rser.2021.111892

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Citations (9)

Seismic sedimentology study of Putaohua reservoir of East Pubei Oilfield

CRC Press eBooks (2015)

Yunfeng Zhang Bo Sun Hongqi Yuan

10.1201/b19126-252

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Citations (0)

Quantitative multiparameter prediction of fault-related fractures: a case study of the second member of the Funing Formation in the Jinhu Sag, Subei Basin

Petroleum Science (2018)

Jingshou Liu Wenlong Ding Dai Jun-sheng Yang Gu Haimeng Yang

In this paper, the analysis of faults with different scales and orientations reveals that the distribution of fractures always develops toward a higher degree of similarity with faults, and a method for calculating the multiscale areal fracture density is proposed using fault-fracture self-similarity theory. Based on the fracture parameters observed in cores and thin sections, the initial apertures of multiscale fractures are determined using the constraint method with a skewed distribution. Through calculations and statistical analyses of in situ stresses in combination with physical experiments on rocks, a numerical geomechanical model of the in situ stress field is established. The fracture opening ability under the in situ stress field is subsequently analyzed. Combining the fracture aperture data and areal fracture density at different scales, a calculation model is proposed for the prediction of multiscale and multiperiod fracture parameters, including the fracture porosity, the magnitude and direction of maximum permeability and the flow conductivity. Finally, based on the relationships among fracture aperture, density, and the relative values of fracture porosity and permeability, a fracture development pattern is determined.

Stress field

Similarity (geometry)

10.1007/s12182-018-0240-3

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Citations (18)

Research on distributionally robust energy storage capacity allocation for output fluctuations in high permeability wind and solar distribution networks

PLoS ONE (2024)

Xin Wang Bo Sun Cheng Ge Qian Liu Zhiwei Li

This paper presents a novel approach to addressing the challenges associated with energy storage capacity allocation in high-permeability wind and solar distribution networks. The proposed method is a two-phase distributed robust energy storage capacity allocation method, which aims to regulate the stochasticity and volatility of net energy output. Firstly, an energy storage capacity allocation model is established, which considers energy storage’s investment and operation costs to minimize the total cost. Then, a two-stage distributed robust energy storage capacity allocation model is established with the confidence set of uncertainty probability distribution constrained by 1-norm and ∞-norm. Finally, a Column and Constraint Generation (C&CG) algorithm is used to solve the problem. The validity of the proposed energy storage capacity allocation model is confirmed by examining different wind and solar penetration levels. Furthermore, the model’s superiority is demonstrated by comparing it with deterministic and robust models.

10.1371/journal.pone.0299226

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Citations (1)

An interval scheduling method for the CCHP system containing renewable energy sources based on model predictive control

Energy (2021)

Deyin Ma Lizhi Zhang Bo Sun

Model Predictive Control

Cooling load

10.1016/j.energy.2021.121418

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Citations (24)