Pub Date : 2022-12-01DOI: 10.1109/CEECT55960.2022.10030708
Yukang Ding, Kexun Yu, Ning Tao, Jiasong Wang, Patrick J. Palanas, Xianfei Xie
In this paper, the mechanical characteristics, charging/discharging control strategies of switched reluctance motor driven large-inertia flywheel energy storage system are analyzed and studied. The switched reluctance motor (SRM) can realize the convenient switching of motor/generator mode through the change of conduction area. And the disadvantage of large torque ripple is weakened in the large inertia load application. It has a certain potential for application in flywheel energy storage systems. For motor mode, the optimal switching angle is established by means of off-line simulation. The maximum output torque is guaranteed and the charging time is shortened by this method. During the discharge process, an online optimal control strategy is used to achieve the optimization of generation efficiency, and the maintenance of the command bus voltage is guaranteed by DC-bus voltage monitoring. The above control strategy is verified by simulation.
{"title":"Operation Control Strategies for Switched Reluctance Motor Driven Flywheel Energy Storage System With Switching Angle Optimazation","authors":"Yukang Ding, Kexun Yu, Ning Tao, Jiasong Wang, Patrick J. Palanas, Xianfei Xie","doi":"10.1109/CEECT55960.2022.10030708","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030708","url":null,"abstract":"In this paper, the mechanical characteristics, charging/discharging control strategies of switched reluctance motor driven large-inertia flywheel energy storage system are analyzed and studied. The switched reluctance motor (SRM) can realize the convenient switching of motor/generator mode through the change of conduction area. And the disadvantage of large torque ripple is weakened in the large inertia load application. It has a certain potential for application in flywheel energy storage systems. For motor mode, the optimal switching angle is established by means of off-line simulation. The maximum output torque is guaranteed and the charging time is shortened by this method. During the discharge process, an online optimal control strategy is used to achieve the optimization of generation efficiency, and the maintenance of the command bus voltage is guaranteed by DC-bus voltage monitoring. The above control strategy is verified by simulation.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121924563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1109/CEECT55960.2022.10030683
Y. Ding, Haiting Qin, Feng Ding
In view of the problem that the door of the low-voltage power distribution box is opened for no reason under the premise that the intelligent terminal has been installed in Power Internet of Things, an intelligent and safe low-voltage integrated power distribution box is improved and designed, the distribution box is equipped with a face recognition function. If the door of the low-voltage power distribution box is opened, the data signals related to the door opening will be transmitted to the main station by the intelligent terminal and fed back to the personnel on duty in time, which is convenient for relevant personnel to deal with it in time. The experimental results show that the safe opening success rate of the intelligent low-voltage integrated distribution box is not less than 99%, which can prove that it is reliable and can be used in the operation of the actual distribution system.
{"title":"Analysis and Improvement of Intelligent Low-voltage Integrated Power Distribution Box in Power Internet of Things","authors":"Y. Ding, Haiting Qin, Feng Ding","doi":"10.1109/CEECT55960.2022.10030683","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030683","url":null,"abstract":"In view of the problem that the door of the low-voltage power distribution box is opened for no reason under the premise that the intelligent terminal has been installed in Power Internet of Things, an intelligent and safe low-voltage integrated power distribution box is improved and designed, the distribution box is equipped with a face recognition function. If the door of the low-voltage power distribution box is opened, the data signals related to the door opening will be transmitted to the main station by the intelligent terminal and fed back to the personnel on duty in time, which is convenient for relevant personnel to deal with it in time. The experimental results show that the safe opening success rate of the intelligent low-voltage integrated distribution box is not less than 99%, which can prove that it is reliable and can be used in the operation of the actual distribution system.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129765185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1109/CEECT55960.2022.10030260
Yu Pan, Fei Xia, Jianliang Mao
The overlap and coverage of objects can affect the grasping success rate for robot manipulator grasping in multi-object scenarios. We propose an enhanced grasping algorithm based on YOLOX-that can predict the bounding box with a smaller aspect ratio, thereby more accurate spatial location. Due to the limits of sensor's environment and physical factors, the depth map will lose some depth values. We propose a depth value repair algorithm based on the FMM algorithm, through which the lost depth values in the grasping region can be repaired. In pose estimation, we use the aspect ratio of the bounding box to determine the rotation angle of the robot manipulator jaws. We use a six-axis robot manipulator combined with a depth camera to achieve object grasping in multi-object scenes. The experimental results show that the enhanced grasping algorithm makes the grasping area prediction more accurate, and the distance between the object and the camera is obtained more accurately.
{"title":"A Robot Manipulator Grasping Method Based on Improved YOLOX","authors":"Yu Pan, Fei Xia, Jianliang Mao","doi":"10.1109/CEECT55960.2022.10030260","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030260","url":null,"abstract":"The overlap and coverage of objects can affect the grasping success rate for robot manipulator grasping in multi-object scenarios. We propose an enhanced grasping algorithm based on YOLOX-that can predict the bounding box with a smaller aspect ratio, thereby more accurate spatial location. Due to the limits of sensor's environment and physical factors, the depth map will lose some depth values. We propose a depth value repair algorithm based on the FMM algorithm, through which the lost depth values in the grasping region can be repaired. In pose estimation, we use the aspect ratio of the bounding box to determine the rotation angle of the robot manipulator jaws. We use a six-axis robot manipulator combined with a depth camera to achieve object grasping in multi-object scenes. The experimental results show that the enhanced grasping algorithm makes the grasping area prediction more accurate, and the distance between the object and the camera is obtained more accurately.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129744007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1109/CEECT55960.2022.10030626
Huamin Yan, Z. Dou, Linrui Li, Chunyan Zhang, J. Lu, Siqi Lei, Huirong Zhao, D. Peng
Owing to uncertain renewable energy output, how to reduce wind and light curtailment has become one of the problems of power grid peak shaving. This paper proposes an optimal dispatching model for the integrated energy system with hydrogen energy, which considers the integrated demand response of power and heat, under the premise of meeting the primary energy demand of the user side. In the dispatching model, the optimal problem is solved by minimizing the daily total expense of the integrated energy system under integrated power constraints. Examined by specific example simulation, it indicated that the proposed dispatching model effectively realized elevation of renewable energy consumption level and system economy.
{"title":"Optimal Scheduling of Integrated Energy System considering Hydrogen and Integrated Demand Response","authors":"Huamin Yan, Z. Dou, Linrui Li, Chunyan Zhang, J. Lu, Siqi Lei, Huirong Zhao, D. Peng","doi":"10.1109/CEECT55960.2022.10030626","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030626","url":null,"abstract":"Owing to uncertain renewable energy output, how to reduce wind and light curtailment has become one of the problems of power grid peak shaving. This paper proposes an optimal dispatching model for the integrated energy system with hydrogen energy, which considers the integrated demand response of power and heat, under the premise of meeting the primary energy demand of the user side. In the dispatching model, the optimal problem is solved by minimizing the daily total expense of the integrated energy system under integrated power constraints. Examined by specific example simulation, it indicated that the proposed dispatching model effectively realized elevation of renewable energy consumption level and system economy.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127039272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1109/CEECT55960.2022.10030723
Tengfei Wu, D. Peng, Chunmei Xu, Danhao Wang
Under the background of “double carbon”, in order to effectively improve the energy utilization of regional integrated energy system (RIES), reduce carbon emissions, and improve the flexibility of system operation, this paper proposes a multi-objective optimization model based on PARETO-GWO and considering demand response RIES. Firstly, the modeling is carried out for RIES containing cooling, heating and electricity. Then a demand response model containing transferable, curtailable and replaceable thermal and electric loads is established. Finally, by intro-ducing external population Archive library and Pareto-based non-dominated solution GWO algorithm to obtain mul-ti-scenario operation strategies, the impact of demand response on RIES multi-objective optimization and power bias of units with different operation strategies are analyzed and demonstrated, and it is verified that multi-objective opti-mization can achieve more effective unification of system operation cost and carbon emission than single-objective scheduling.
{"title":"Integrated energy multi-objective optimization based on PARETO-GWO considering demand response","authors":"Tengfei Wu, D. Peng, Chunmei Xu, Danhao Wang","doi":"10.1109/CEECT55960.2022.10030723","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030723","url":null,"abstract":"Under the background of “double carbon”, in order to effectively improve the energy utilization of regional integrated energy system (RIES), reduce carbon emissions, and improve the flexibility of system operation, this paper proposes a multi-objective optimization model based on PARETO-GWO and considering demand response RIES. Firstly, the modeling is carried out for RIES containing cooling, heating and electricity. Then a demand response model containing transferable, curtailable and replaceable thermal and electric loads is established. Finally, by intro-ducing external population Archive library and Pareto-based non-dominated solution GWO algorithm to obtain mul-ti-scenario operation strategies, the impact of demand response on RIES multi-objective optimization and power bias of units with different operation strategies are analyzed and demonstrated, and it is verified that multi-objective opti-mization can achieve more effective unification of system operation cost and carbon emission than single-objective scheduling.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130649707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A mechanical state evaluation method of transformer winding based on vibro-acoustic signal fusion under short circuit condition is presented in this paper. The special analog transformer A phase winding is studied. Transformer internal vibro-acoustic mechanism is analyzed, then the three transient vibro-acoustic characteristic is defined and extracted. The short circuit impact test platform of transformer winding is established and 22 short circuit impact tests are carried out. The transient vibro-acoustic signal of transformer and the state of winding after short circuit impact are analyzed. The results show that the damage of transformer winding under short-circuit impact is a process of accumulation, and transient vibro-acoustic signal can reflect the mechanical state of transformer winding sensitively. Finally, the SVM algorithm is used to classify the transient vibro-acoustic characteristic, which can effectively distinguish and accurately identify the different mechanical states of transformer winding. The evaluation method is innovative to evaluate the mechanical state of transformer winding.
{"title":"Research on Mechanical State Evaluation Method of Transformer Winding Based on vibro-acoustic Signal Fusion under Short-Circuit Impact","authors":"Lu Bai, Yumei Shi, Yingbin Li, Yukun Zhang, Lingyu Zhu, Shuyu Wu","doi":"10.1109/CEECT55960.2022.10030366","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030366","url":null,"abstract":"A mechanical state evaluation method of transformer winding based on vibro-acoustic signal fusion under short circuit condition is presented in this paper. The special analog transformer A phase winding is studied. Transformer internal vibro-acoustic mechanism is analyzed, then the three transient vibro-acoustic characteristic is defined and extracted. The short circuit impact test platform of transformer winding is established and 22 short circuit impact tests are carried out. The transient vibro-acoustic signal of transformer and the state of winding after short circuit impact are analyzed. The results show that the damage of transformer winding under short-circuit impact is a process of accumulation, and transient vibro-acoustic signal can reflect the mechanical state of transformer winding sensitively. Finally, the SVM algorithm is used to classify the transient vibro-acoustic characteristic, which can effectively distinguish and accurately identify the different mechanical states of transformer winding. The evaluation method is innovative to evaluate the mechanical state of transformer winding.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123977783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In order to solve the harmonic problem generated by the electrolytic cell in the high proportion of power electronic equipment and photovoltaic hydrogen generation microgrid, we propose an improved instantaneous reactive power detection method. A harmonic voltage compensator is designed to suppress the voltage harmonic in the photovoltaic hydrogen generation microgrid by dividing the frequency based on the traditional virtual synchronous generator control strategy. This method provides inertia for the distributed power supply of the photovoltaic hydrogen generation microgrid, effectively suppresses the internal harmonic problem of the photovoltaic hydrogen generation microgrid, improves the power quality of the microgrid, and reduces the hydrogen production energy consumption of the electrolytic cell. The simulation results show that this method can realize fast frequency division detection and improve the accuracy of voltage harmonic compensation.
{"title":"Research on Photovoltaic Hydrogen Generation Microgrid Harmonic Suppression Method Based on Improved Virtual Synchronous Generator Control","authors":"Liang Wang, Zijiao Han, Chen Ning, Henan Dong, Xin Yao, Yanfeng Ge, Yannan Dong","doi":"10.1109/CEECT55960.2022.10030714","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030714","url":null,"abstract":"In order to solve the harmonic problem generated by the electrolytic cell in the high proportion of power electronic equipment and photovoltaic hydrogen generation microgrid, we propose an improved instantaneous reactive power detection method. A harmonic voltage compensator is designed to suppress the voltage harmonic in the photovoltaic hydrogen generation microgrid by dividing the frequency based on the traditional virtual synchronous generator control strategy. This method provides inertia for the distributed power supply of the photovoltaic hydrogen generation microgrid, effectively suppresses the internal harmonic problem of the photovoltaic hydrogen generation microgrid, improves the power quality of the microgrid, and reduces the hydrogen production energy consumption of the electrolytic cell. The simulation results show that this method can realize fast frequency division detection and improve the accuracy of voltage harmonic compensation.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123219587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1109/CEECT55960.2022.10030395
Quan Zhou, Yongliang Yin, D. Peng, Huirong Zhao, Lei Xing, X. Jiang, Zhenchao Xu, Chunmei Xu
Blast furnace smelting has high energy consumption and large carbon dioxide emissions, which is an important device for energy saving and carbon reduction transformation in the iron and steel industry. In this paper, a multi-objective optimization model of the blast furnace dosing and operation is proposed. This model is to minimize energy consumption, CO2emissions per tonne of iron and generation cost by adjusting the dosage of different inputs. The Pareto optimal solution set of the model is solved by using the NSGA-II algorithm. To verify the effectiveness of the proposed multi-objective model, the optimized dosing and operation is compared with raw operation data, and the comparison results indicate that the proposed model can significantly improve energy conversion efficiency, reduced the carbon emissions, and save operation costs.
{"title":"Multi-objective optimization of blast furnace dosing and operation based on NSGA-II","authors":"Quan Zhou, Yongliang Yin, D. Peng, Huirong Zhao, Lei Xing, X. Jiang, Zhenchao Xu, Chunmei Xu","doi":"10.1109/CEECT55960.2022.10030395","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030395","url":null,"abstract":"Blast furnace smelting has high energy consumption and large carbon dioxide emissions, which is an important device for energy saving and carbon reduction transformation in the iron and steel industry. In this paper, a multi-objective optimization model of the blast furnace dosing and operation is proposed. This model is to minimize energy consumption, CO2emissions per tonne of iron and generation cost by adjusting the dosage of different inputs. The Pareto optimal solution set of the model is solved by using the NSGA-II algorithm. To verify the effectiveness of the proposed multi-objective model, the optimized dosing and operation is compared with raw operation data, and the comparison results indicate that the proposed model can significantly improve energy conversion efficiency, reduced the carbon emissions, and save operation costs.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123234136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the increasing scale and complexity of power system operation, in order to further improve the efficiency and accuracy of electromagnetic transient modeling of large-scale power systems, this paper proposes a set of fast conversion modeling methods from electromechanical transient simulation software BPA to electromagnetic transient simulation software RTDS for electrical models. The key technologies of fast modeling from BPA electromechanical transient model to RTDS electromagnetic transient model are introduced in detail from data parsing and verification, data pre-processing, sub-system division, model conversion and automatic layout wiring, and the system is applied to the study of RTDS automation modeling in a province of Southern Power Grid. The results show that the relative error of node voltage after conversion does not exceed 0.00076%; the relative error of both active and reactive power does not exceed 0.07%, the relative error of active power output of generator is 0.076%, and the relative error of reactive power output is 0.21%, and the steady-state and transient characteristics of the system before and after conversion are basically the same, thus verifying the accuracy and reliability of the fast modeling method of RTDS.
{"title":"Research and application of fast modeling methods for electromagnetic transients in large-scale power systems","authors":"Jianchao Li, Yonghong Tang, Donghui Zhang, Zhiqin Liu, Chizu Mao, Lixin Chen","doi":"10.1109/CEECT55960.2022.10030109","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030109","url":null,"abstract":"With the increasing scale and complexity of power system operation, in order to further improve the efficiency and accuracy of electromagnetic transient modeling of large-scale power systems, this paper proposes a set of fast conversion modeling methods from electromechanical transient simulation software BPA to electromagnetic transient simulation software RTDS for electrical models. The key technologies of fast modeling from BPA electromechanical transient model to RTDS electromagnetic transient model are introduced in detail from data parsing and verification, data pre-processing, sub-system division, model conversion and automatic layout wiring, and the system is applied to the study of RTDS automation modeling in a province of Southern Power Grid. The results show that the relative error of node voltage after conversion does not exceed 0.00076%; the relative error of both active and reactive power does not exceed 0.07%, the relative error of active power output of generator is 0.076%, and the relative error of reactive power output is 0.21%, and the steady-state and transient characteristics of the system before and after conversion are basically the same, thus verifying the accuracy and reliability of the fast modeling method of RTDS.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121229281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1109/CEECT55960.2022.10030719
Huang Xianan, Hu Zhenda, Zhang Linvao, Wang Kai, Liu Zhenwei
Implementing energy conservation strategies is an important means to help achieve the dual carbon goal. Conducting energy conservation potential assessments and the achievability of emission reduction targets in the light of the characteristics of the new phase is important for setting reasonable energy conservation and emission reduction targets and safeguards. Based on the 2015–2020 energy consumption and other statistical data of Fujian Province, this paper uses the Long-range Energy Alternatives Planning System (LEAP) model as a research tool to simulate the future end-use energy consumption demand and CO2 emission trends in Fujian Province under different development scenarios by setting up a base scenario and an energy saving scenario, and to analyse the direction and path of low-carbon urban development. The results show that under the baseline scenario, energy demand and carbon emissions in Fujian Province will continue to grow; under the condition of strengthening energy saving and emission reduction measures in Fujian Province, energy demand and carbon emissions in Fujian Province can grow slowly or even decline in the future.
实施节能战略是实现双碳目标的重要手段。根据新阶段的特点，开展节能潜力评估和减排目标可达性评估，对制定合理的节能减排目标和保障措施具有重要意义。本文以福建省2015-2020年能源消费等统计数据为基础，以LEAP (remote energy Alternatives Planning System)模型为研究工具，通过设置基础情景和节能情景，模拟福建省未来不同发展情景下的终端用户能源消费需求和二氧化碳排放趋势，分析低碳城市发展的方向和路径。结果表明:在基线情景下，福建省能源需求和碳排放将持续增长;在福建省加强节能减排措施的条件下，未来福建省的能源需求和碳排放量可以缓慢增长甚至下降。
{"title":"Research on Carbon Emissions in End-Use Energy Consumption Sector Based on LEAP Model-Fujian Province as an example","authors":"Huang Xianan, Hu Zhenda, Zhang Linvao, Wang Kai, Liu Zhenwei","doi":"10.1109/CEECT55960.2022.10030719","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030719","url":null,"abstract":"Implementing energy conservation strategies is an important means to help achieve the dual carbon goal. Conducting energy conservation potential assessments and the achievability of emission reduction targets in the light of the characteristics of the new phase is important for setting reasonable energy conservation and emission reduction targets and safeguards. Based on the 2015–2020 energy consumption and other statistical data of Fujian Province, this paper uses the Long-range Energy Alternatives Planning System (LEAP) model as a research tool to simulate the future end-use energy consumption demand and CO2 emission trends in Fujian Province under different development scenarios by setting up a base scenario and an energy saving scenario, and to analyse the direction and path of low-carbon urban development. The results show that under the baseline scenario, energy demand and carbon emissions in Fujian Province will continue to grow; under the condition of strengthening energy saving and emission reduction measures in Fujian Province, energy demand and carbon emissions in Fujian Province can grow slowly or even decline in the future.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121314837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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