bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preface
Authors: Tang Wenzhe , Ning Dezhi 
Published: March 2021

EEEP (International Conference on Energy Engineering and Environmental Protection) is an annually held conference for all researchers home and abroad since 2016, aiming to provide a good platform for scholars and researchers in the field of energy and environmental protection to discuss the latest developments and achievements, work out good solutions, and make contributions.
The Fifth International Conference on Energy Engineering and Environmental Protection (EEEP2020) was planned to be held in Xiamen, China on November 17-19, 2020. Due to the epidemic of COVID-19, the meeting had to be changed from onsite to online during November 17-19, 2020 for academic exchanges & discussions. EEEP2020 online conference was divided into 2 sessions: Energy Session on Nov. 18 and Environment Session on Nov. 19, 2020.
List of Conference Schedule, Keynote Presentations, Special Session on Intelligent Integrated Energy Systems, Acknowledgements, Introduction to organizers are availble in this pdf.
Simulation implementation of air pollution traceability algorithm based on unmanned aerial vehicle
Authors: Zhang Shuyu , Liu Zhenguo , Liu Jinbao , Ding Tao , Wei Shuncheng 
Published: March 2021

Abstract
Air pollution has serious harm to the ecological environment and human health. However, current ground monitoring methods and mobile robot traceability methods are difficult to accurately and quickly trace air pollution sources after pollution events. To solve this problem, this paper proposes an air pollution traceability algorithm based on unmanned aerial vehicle (UAV), which combines the mobile and flexible UAV with the hill climb traceability algorithm to realize the monitoring and tracking of air pollution source in a large area. Gaussian concentration field and turbulent concentration field are built by MATLAB, and the simulation experiment is carried out in these two concentration fields. Experimental results show that the algorithm can trace air pollution sources quickly and accurately.
The development of port emissions inventory from decision-making perspective: case of the port of Los Angeles
Authors: Cai Ouchen , Peng Chuansheng , Yu Xiujuan 
Published: March 2021

AbstractThe article, based on the comprehensive review and the case study of Port of Los Angeles, investigates the driving force for the development of the port emissions inventory in numerous aspects including environment, public health, economy and society. It includes the summary of the typical methodology for establishing the port emissions inventory, thus allowing the policy makers from more ports including port authorities and operators with no such expertise or experience obtain the insights in terms of strategy, policy and technology which may inspire them to develop their own emission inventories which could be the foundation for decision making related to the emission control and reduction. In addition, the article analyzes the performance of the inventory in facilitating designing the air pollution management measures against various emission sources, especially the critical air emissions from the ocean-going vessels causing significant negative effects in port and coastal areas.
Effects of sediment content changes on the growth of phytoplankton in Dongting Lake
Authors: Wang Kai 
Published: March 2021

Abstract
After the construction of the Three Gorges Dam(TGD) on the Yangtze River, the reservoir’s regulation and storage for upstream flow and downstream river channel erosion (caused by the discharge of clear water) led to a significant reduction in the amount of sediment entering Dongting Lake from the Yangtze River. The decrease in sediment entering the lake led to a decrease in sediment content and an increase in lake transparency. These factors caused the growth of algae in Dongting Lake, and the level of lake eutrophication increased. Based on the AQUATOX aquatic ecology model, this study analyses the responses of phytoplankton and chlorophyll a in each area of Dongting Lake and the changes in the nutritional status of the water body under the scenario of the continuing decline in sediment content while other factors remain unchanged. The results show that as the sediment content decreases, the biomass of phytoplankton and the content of chlorophyll a will show increasing trends in each area of Dongting Lake. In this case, eutrophication will continue to develop in Dongting Lake.
Numerical simulation of liquid CO2 accidental release at atmospheric environment
Authors: Xiao Chenghuan , Lu Zhaijun , Yao Shujian , Yan Liguo , Wang Jiaqiang 
Published: March 2021

Abstract
Investigation of the transient behaviour of high-pressure CO2 sudden release is important for the pipeline transportation safety of carbon capture and storage technology. A CFD model based on the volume of fluid method and non-equilibrium phase transition is established to simulate the high-pressure liquid CO2 release at atmospheric environment, which considers the flow domain out of the opening. The pressure drop and decompression wave speed predicted by CFD are in good agreement with the “shock tube” test results, which verifies the established CFD model. On this basis, we further investigate the transient behaviour of liquid CO2 release. The results show that the liquid-gas two-phase flow continues expanding outward from the rupture opening and sucking up the surrounding air, forming a complex three-phase under-expanded jet. It is found that the distance from rupture opening to Mach disk increases with the increase of initial pressure. It is also found that the liquid-gas CO2 mixture spurted from the rupture opening is mainly composed of liquid CO2 and a small amount of gaseous CO2 by analyzing the mass flow composition. Moreover, The static pressure and the total mass flow at the rupture opening both increase with the increase of the initial pressure, while the mass flow of the gas CO2 decreases with the increase of the initial pressure.
Effects of sludge properties in a combined process of mesophilic anaerobic-aerobic digestion
Authors: Zhao Zehua , Xu Xiaowei , Xu Yuanshun , Wang Tianfeng , Zhang Houhu , Hua Jing 
Published: March 2021

Abstract
The combined medium-temperature anaerobic digestion and medium-temperature aerobic digestion (MAND/MAD) is a strategy that is suitable for the disposal of conventional activated sludge. The MAND/MAD sludge stabilization process was performed at three retention times (17, 24, and 38 days) of anaerobic digestion (AND-time) with further duration up to 22 days of the MAD process. The retention time of the MAND process had an important role in sludge stabilization. Its extension enhanced sludge stability in the aerobic digestion stage. During a MAD process, values of volatile/total solids ratio (VS/TS) presented the lowering course for the three investigated retention AND-times. The relatively long retention time of MAND leads to a higher level of soluble organic compounds (SCOD) and extracellular polymers (EPS) in the supernatant. Due to the shorter capillary uptake time at the end of digestion in the MAND/MAD system, the sludge with an AND-time of 38 days was extremely susceptible to dewatering compared to the sludge with an AND-time of 17 and 24 days.
A novel power system operation simulation method considering multi-state models of coal-fired power unit: a case study of coal-fired power transformation in a certain region of China
Authors: Yue Hao , Zheng Yanan , Han Xue , Li Shunxin , Guo Zheyu , Wang Huiji , Yang Jingang 
Published: March 2021

Abstract
Coal-fired power has played an important role in the power systems, but its operational characteristics, especially the flexibility characteristics is modelled relatively simple in the current operation simulations. Given the background of a rapid development of renewable energy and a sustainable transformation of power systems in China, it is essential to build a refined model of coal-fired power units that can be incorporated into an operation simulation method. First, this study provides an analysis on the flexibility characteristics of coal-fired power units, including the minimum stable output, ramp limit and minimum up/down time. Subsequently, a multi-state probabilistic model of coal-fired power units is proposed. This study also constructs a sequential operation simulation method based on the universal generation function (UGF) method that incorporates multiple states of coal-fired power units. Finally, this study provides a development and transformation pathway for coal-fired power plants in the North Hebei (NH) region and suggestions for promoting a sustainable development of the power system based on the proposed method and multi-state model.
Research on control characteristics of AC/DC hybrid microgrid based on droop control
Authors: Wang Jing , Yang Kehu , Zhao Guopeng 
Published: March 2021

Abstract
When the master-slave microgrid switches from the grid-connected operation mode to the island operation mode, the main converter and its control strategy are switched at this time. With the unintentional islanding of the microgrid, there is an uncontrollable voltage phenomenon during islanding detection, causing undervoltage or overvoltage, which endangers the overall microgrid stability and safety. Aiming at this problem, a microgrid control strategy is proposed in this paper: during grid-connected operation, both the grid-connected converter and the energy storage converter adopt droop control to jointly control the bus voltage stability, while also ensuring the power balance between the microgrid and the public grid. The grid-connected converter exits operation after islanding, and the energy storage converter becomes the main converter to stabilize the bus voltage while maintaining the power balance of the load. The output of the converter in this method has continuity, which can well realize the seamless switching of microgrid from grid-connected to island operation. A simulation model of the solar-storage microgrid was built in PSCAD. The simulation verifications of its grid-connected and island mode and seamless switching control prove the effectiveness of the control strategy proposed in this paper.
Research on energy management of vehicle-mounted PV / energy storage dc micro-grid
Authors: Zhang Wentao , Ye Shengyong , Wei Jun , Dai Chaohua , Lian Jingru 
Published: March 2021

Abstract
The application of multi-energy systems in urban rail vehicles have attracted increasing attention. However, the existing studies were mainly focused on high-voltage systems, but rarely on low-voltage multi-energy systems. Based on the world’s first hybrid fuel cell / supercapacitor 100%-low-floor tram, a model of vehicle-mounted PV / energy storage low-voltage DC micro-grid is proposed for the train’s 24V DC loads. Moreover, an energy management strategy based on Fuzzy control is proposed to achieve the sufficient consumption of PV power and the reasonable SOC distribution of the battery. The calculation results show that the proposed low-voltage multi-energy system can meet the load demand and the battery constraints, and the PV utilization rate is as high as 99.8%.
Research on fault ride-through control strategy for DC microgrid with high-proportion renewable generation
Authors: Ji Wanyu , Dong Wei , Zhang Junjun , Liu Meiyin 
Published: March 2021

Abstract
DC microgrids with high-proportion renewable generation have been popular in the new era of the energy revolution. To improve the fault ride-through capability of DC microgrid, a fault ride-through scheme based on battery storage is proposed. A feed-forward term based on a nonlinear disturbance observer is introduced, and a fault ride-through control strategy based on battery storage under the improved droop control is designed for DC microgrid, which can effectively suppress the DC voltage fluctuations, shorten the voltage recovery time, thereby realizing the fault ride-through of DC microgrid under short-circuit fault in the DC branch. Finally, a model of DC microgrid with high-proportion renewable generation is established in Simulink, and simulation results verify the proposed scheme and the designed fault ride-through control strategy.
Study on thermal load test of water wall of 350MW supercritical circulating fluidized bed boiler
Authors: Wang Dehua , Miao Shanshan , Wang Junfeng , Wang Gang , Hu Xue , He Mingyue , Zhang Jun , Wang Ting , Guo Xin , Wang Chengqiang , Liu Wei 
Published: March 2021

Abstract
The thermal load distribution of water wall is the key parameter for the structural design of water walls in supercritical and ultra-supercritical circulating fluidized bed boiler (CFB). In this paper, the temperature distribution of the water wall of a 350MW supercritical CFB boiler under typical working conditions was measured by installing 118 temperature measuring points at the back-fire water wall tube and adjacent fins. The deviation in the heat load of water wall as a function of furnace height, width and depth was obtained as well. The experimental results show that temperature of the working medium in water-wall tube increases with increasing furnace height. The thermal deviation of the steam temperature in water wall tube in the direction of furnace width and depth is large at the initial boiler start-up period, the transition period from dry to wet state, and the low load condition. Despite these, the heat load distribution of water wall at the same furnace height remains the same. The results provide a reference for the structural design and operation optimization of supercritical and ultra-supercritical CFB boiler.
Energy consumption prediction of cement production based on chaotic neural network-Markov chain
Authors: Yin Run , Dou Chunxia , Yue Dong 
Published: March 2021

Abstract
In order to improve the accuracy of energy consumption modeling and prediction in the cement production process, a cement production energy consumption prediction model based on chaotic neural network is proposed: 1. In the energy consumption modeling stage, chaotic neural network is used to reconstruct the phase of chaotic time series. Space, the chaotic neural network can still make high-precision predictions of the system even when the network input is incomplete or mutated, and the determination coefficient value is 0.019 higher than that of the RBF neural network. 2. In the energy consumption prediction stage, the introduction of Marko The residual error correction method is to correct the current forecast value based on the residual error between the historical predicted energy consumption value and the actual energy consumption value. The result shows that the relative residual error of the predicted value corrected by the Markov correction method decreases from -0.6% to -0.25 %, the predicted value of energy consumption is closer to the actual value. Based on the above description of the two stages of energy consumption modeling, the proposed cement production energy consumption prediction model has better prediction effects and higher prediction accuracy than traditional mechanism modeling in cement production energy consumption prediction.
Enterprise development forecast analysis under environmental policy based on knowledge graph
Authors: Zhang Zeyu , Wang Xiaoting , Meng Lingzhong , Wang Qian 
Published: March 2021

Abstract
In order to fully explore the relationship between environmental policy and enterprise development, and further improve the forecasting effect of environmental enterprise development, this paper proposes a method of forecasting enterprise development status under environmental policy based on knowledge graph. This method extracts environmental policies and corporate information from the public website of the environmental department to build an environmental corporate knowledge graph, combines cosine similarity and regression algorithms to establish a prediction model for environmental policies and corporate development, and uses the model to analyse environmental policies and predict corporate future development. Experiments show that this method makes full use of the advantages of knowledge graphs in relation analysis and graphical display, has good accuracy and recall, greatly reduces the time cost of enterprise forecasting, and has strong application value.
Volume transports through the main straits of the East China Sea based on HYCOM reanalysis data
Authors: Wang Bin 
Published: March 2021

Abstract
Volume transports through the main straits of the East China Sea and the inter-annual variations are determined based on HYCOM reanalysis data in the period from 1993 to 2012. The annual mean transports through Taiwan Strait (TS) and Tsushima Strait (TUS) are approximately 1.24Sv (1Sv=106m3/s), and 2.41Sv, respectively. This suggests that the onshore intrusion of Kuroshio water crossing the shelf break of the East China Sea is around 1.17Sv. These estimations are consistent with the previous studies. Furthermore, the volume transports of other channels connecting the East China Sea with the open ocean also have been checked, which are 27.78Sv, 28.55Sv and 1.93Sv through East of Taiwan (TE), Tokara-Osumi Strait (TOS) and the Ryukyu Islands chain (RK), respectively. The Kuroshio transport of HYCOM reanalysis data is larger than the climatological value pointed out from the earlier studies. However, it is much closer to the new analysis value (28.1Sv) based on the observation of Japan Meteorological Agency during the period between 2003 and 2006. The possible reasons also have been addressed. The long-term trend suggests that the transports of TS and TUS have been increased slightly, while those of ET and TOS have been decreased.
Business models analysis for micro compressed air energy storage considering the comprehensive cost in its life-cycle
Authors: Xie Yuguang , Zheng Tianwen , Gao Bo , Jiang Libo , Chen Qingtao , Chen Fan 
Published: March 2021

Abstract
Micro compressed air energy storage (M-CAES) has the characteristics of pollution-free, high comprehensive utilization of energy, and the ability of combined cooling, heating, and electrical power, which can better meet the energy application in many areas. Considering that the business models restrict the development of M-CAES, business models analysis for M-CAES considering the comprehensive cost in its life-cycle is studied. Firstly, this paper analyzes possible investment models of M-CAES projects with multiple market participants, and then the business models of the M-CAES system are designed. Secondly, a scheme of life-cycle cost/benefit assessment is proposed for M-CAES investment, including the construction cost and the operation cost of the M-CAES. Finally, the economic benefits of different business models are analyzed by the 1MWh M-CAES. The results show that they can provide theoretical reference and engineering instruction for the research and engineering application of M-CAES.
“Scenes” updating the cultural landscape of villages along the Grand Canal under the all media communication*
Authors: Zhao Yan , Yan Jianwei , Hou Sushan 
Published: March 2021

Abstract
The rural cultural landscape along the Beijing-Hangzhou Grand Canal encompasses such tangible objects as water conservancy legacy projects, rural settlements, rural ecology and productive and natural landscape as well as such intangible contents as rural culture, conventions, handcrafts, biography and legends, forming unique linear legacies that boast high research values. The present paper made a field investigation into the typical villages along the South Canal and analyzed the current problems to explore the local cultural landscape resources and environmental conditions. It proposes to probe into the thinking philosophy to upgrade and design the “scenes” in the rural cultural landscape along the Grand Canal from the perspective of all media communication in hopes of broadening the idea of rural cultural landscape protection along the canal and offering references for the protection and inheritance of the characteristic rural culture thereof.
Optimal dispatching strategy in the domain with energy storage and heat storage taking into account deep regulation of thermal power plants
Authors: Ge Weichun , Liu Debao , Deng Guannan , Zhao Tieying , Wang Shunjiang , Guo Yu 
Published: March 2021

Abstract
In recent years, the installed capacity of wind power has been increasing, and the phenomenon of regional wind abandonment has become prominent. In order to improve the wind power accommodation, the domain definition is introduced, which stipulates that the periods without wind abandonment and load shedding during normal output of thermal power units are normal domains, the periods without wind abandonment or load shedding when thermal power units exert depth adjustment are abnormal domains, and the periods with wind abandonment or load shedding during depth adjustment of thermal power units are emergency domains. Give full play to the depth adjustment of thermal power units in abnormal and emergency areas, improve the accommodation of clean energy, and realize the coordinated and optimized scheduling of multiple energy sources including electricity storage and heat storage systems. To accommodate clean energy, an economic dispatching model including the cost of thermal power, the cost and benefit of power storage and heat storage system is constructed, and the optimal value of the model is solved by calling CPLEX with Matlab. The scheduling results not only ensure the safety and reliability of the whole network operation but also maximize the consumption of wind energy and realize the optimal clean energy scheduling.
Estimation of net oil and gas reserves and sensitivity analysis of influencing factors for net present value under royalty & tax contracts – a case study on X project, Kazakhstan
Authors: Fa Guifang , Shao Xinjun , Lan Jun 
Published: March 2021

Abstract
The Royalty & Tax Contract is one of the most common cooperation modes in the international petroleum industry. Under this mode, contractors take the share of net oil and gas reserves in kind, and pay royalties, income taxes and other taxes/fees to the landowner. The net reserves owned by a contractor refer to the remaining economical recoverable reserves that the contractor can obtain during the remaining contract period, and represent the contractor’s actual revenue. Taking the XX project in Kazakhstan as an example, this paper presented the method for estimating net oil and gas reserves under the Royalty & Tax Contract, discussed how the production, decline rate, development plan, oil prices, costs and taxes affect net reserves from the technical, economic, commercial and engineering perspective, and made sensitivity analysis of the most critical influence factors like oil production, oil prices, operation expenditure and investment. Finally, some development optimization and evaluation strategies were proposed to maximize the contractors’ economic benefits.
Short-term forecast of photovoltaic power generation output based on improved PSO-Elman neural network
Authors: Wu Yuhui , Liu Jingbo , Zhang Jiaan , Hao Feng 
Published: March 2021

Abstract
An improved particle swarm optimization (PSO) algorithm is proposed to solve the problems of low power prediction accuracy and high randomness of PV power generation. In the first place, by changing the inertia weight and learning factor and concept of the hybrid genetic algorithm is introduced into the particle swarm optimization algorithm, determine the initial weight of the Elman neural network, establish Elman neural network, then using day feature vector selection and forecasting meteorological features high similarity of date, determine the main meteorological factors affecting the photovoltaic output, meteorological data and electricity generation are used as training sets of Elman neural network, prediction model is established. Finally, the simulation results show that the model is superior to the Without optimization Elman neural network, has higher prediction accuracy, and shows good stability and generalization ability.