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学者姓名：嵇灵
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摘要 ：
与传统配电网运行模式相比,主动配电网通过对分布式电源、储能装置、用户侧需求响应资源等多种需求侧资源实行主动有效的调度管理,能够实现"源-网-荷-储"的协同管控,提高系统效率.针对主动配电网"源-网-荷-储"协调经济调度中面临的多重不确定因素,本文提出了基于区间参数规划和随机鲁棒性优化的混合优化模型,以实现主动配电网优化辅助决策.该方法能够有效处理系统中多种形式的不确定信息,保证最优调度方案在不确定风险下可兼顾系统运行可靠性和经济性,并探索价格型需求响应机制对主动配电网"源-网-荷-储"协调优化调度的影响.通过算例分析,验证了此混合优化方法的可行性与有效性,为含分布式能源的主动配电网决策者提供不同风险偏好下的决策参考.
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| GB/T 7714 | 余涛 , 冯斌 , 韦冬妮 et al. 含分布式能源的主动配电网"源-网-荷-储"协调经济调度 [J]. | 水利水电技术 , 2021 , 52 (6) : 215-222 . |
| MLA | 余涛 et al. "含分布式能源的主动配电网"源-网-荷-储"协调经济调度" . | 水利水电技术 52 . 6 (2021) : 215-222 . |
| APA | 余涛 , 冯斌 , 韦冬妮 , 刘尚科 , 张蓓蓓 , 嵇灵 . 含分布式能源的主动配电网"源-网-荷-储"协调经济调度 . | 水利水电技术 , 2021 , 52 (6) , 215-222 . |
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摘要 ：
Reliable access to electricity is still a serious problem for remote villages, however, abundant solar radiation and biomass have the potentials to provide energy supply in a sustainable way. This paper focuses on the optimal design and techno-economic analysis of the stand-alone hybrid energy system for a typical rural village in the northwest of China. Based on the estimation of local renewable energy potential and the investigation of heat and power consumption patterns, a mixed-integer linear programming optimization model is presented with the aim of minimum total annualized cost. The techno-economic analysis of different system configurations is conducted and compared. Particularly, the levelized cost of energy production and levelized cost of energy consumption is proposed to evaluate the economic-cost of energy from both supply and demand-side respectively. Furthermore, sensitivity analysis and scenario analysis is conducted to demonstrate the influences of the variations and uncertain environmental policy on total system cost and performance. The results demonstrate that the PV/biomass-CHP/diesel generator/gas boiler/battery/thermal energy storage hybrid energy system is the most economical option with a total annualized cost of 652 x 10(3) $. The levelized cost of energy consumption (0.355 $/kWh) is greater than that of energy production (0.275 $/kWh), implying a great potential for local electrification and more flexible heat/power output equipment. (C) 2021 Elsevier Ltd. All rights reserved.
关键词 ：
Biomass-CHP Biomass-CHP Levelized cost of energy Levelized cost of energy Optimization Optimization Solar PV Solar PV Stand-alone energy system Stand-alone energy system
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| GB/T 7714 | Ji, Ling , Liang, Xiaolin , Xie, Yulei et al. Optimal design and sensitivity analysis of the stand-alone hybrid energy system with PV and biomass-CHP for remote villages [J]. | ENERGY , 2021 , 225 . |
| MLA | Ji, Ling et al. "Optimal design and sensitivity analysis of the stand-alone hybrid energy system with PV and biomass-CHP for remote villages" . | ENERGY 225 (2021) . |
| APA | Ji, Ling , Liang, Xiaolin , Xie, Yulei , Huang, Guohe , Wang, Bing . Optimal design and sensitivity analysis of the stand-alone hybrid energy system with PV and biomass-CHP for remote villages . | ENERGY , 2021 , 225 . |
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摘要 ：
与传统配电网运行模式相比,主动配电网通过对分布式电源、储能装置、用户侧需求响应资源等多种需求侧资源实行主动有效的调度管理,能够实现"源-网-荷-储"的协同管控,提高系统效率。针对主动配电网"源-网-荷-储"协调经济调度中面临的多重不确定因素,本文提出了基于区间参数规划和随机鲁棒性优化的混合优化模型,以实现主动配电网优化辅助决策。该方法能够有效处理系统中多种形式的不确定信息,保证最优调度方案在不确定风险下可兼顾系统运行可靠性和经济性,并探索价格型需求响应机制对主动配电网"源-网-荷-储"协调优化调度的影响。通过算例分析,验证了此混合优化方法的可行性与有效性,为含分布式能源的主动配电网决策者提供不...
关键词 ：
主动配电网 主动配电网 需求响应 需求响应 不确定性 不确定性 随机鲁棒性优化 随机鲁棒性优化 区间规划 区间规划
引用：
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| GB/T 7714 | 余涛 , 冯斌 , 韦冬妮 et al. 含分布式能源的主动配电网“源-网-荷-储”协调经济调度 [J]. | 水利水电技术(中英文) , 2021 , 52 (06) : 215-222 . |
| MLA | 余涛 et al. "含分布式能源的主动配电网“源-网-荷-储”协调经济调度" . | 水利水电技术(中英文) 52 . 06 (2021) : 215-222 . |
| APA | 余涛 , 冯斌 , 韦冬妮 , 刘尚科 , 张蓓蓓 , 嵇灵 . 含分布式能源的主动配电网“源-网-荷-储”协调经济调度 . | 水利水电技术(中英文) , 2021 , 52 (06) , 215-222 . |
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摘要 ：
In this study, an integrated framework is proposed for agricultural water and land resources management under uncertain circumstances and energy-water nexus. The framework has two components: the optimized interval solutions generation of unknown market quotation and environment situation through the novel interval fuzzyexpectation programming, and the post-optimization decision-making of the tradeoff between system risk and return through risk-explicit interval programming. An optimization model based on the framework was developed from a real description for agricultural water resources system of Guangdong province under considering various crop, multiple water sources, and the related energy consumption in irrigation and drainage. The impact of energy consumption and risk level control on water resources allocation among different crops and system benefits were analyzed. The results indicated that the preference for surface water resources as the main water sources can effectively reduce regional irrigation energy consumption, and the planting area of each crop would have different variations duo to resources endowment constraints. Risk tradeoff-based results can provide valuable information and additional concern for developing low carbon-oriented agricultural water resources management schemes.
关键词 ：
Agricultural water resources management Agricultural water resources management Energy-consumption control Energy-consumption control Integrated optimization framework Integrated optimization framework Interval fuzzy-expectation programming Interval fuzzy-expectation programming Risk analysis Risk analysis
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| GB/T 7714 | Luo, Zhiwei , Xie, Yulei , Ji, Ling et al. Regional agricultural water resources management with respect to fuzzy return and energy constraint under uncertainty: An integrated optimization approach [J]. | JOURNAL OF CONTAMINANT HYDROLOGY , 2021 , 242 . |
| MLA | Luo, Zhiwei et al. "Regional agricultural water resources management with respect to fuzzy return and energy constraint under uncertainty: An integrated optimization approach" . | JOURNAL OF CONTAMINANT HYDROLOGY 242 (2021) . |
| APA | Luo, Zhiwei , Xie, Yulei , Ji, Ling , Cai, Yanpeng , Yang, Zhifeng , Huang, Guohe . Regional agricultural water resources management with respect to fuzzy return and energy constraint under uncertainty: An integrated optimization approach . | JOURNAL OF CONTAMINANT HYDROLOGY , 2021 , 242 . |
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摘要 ：
This paper is aimed at proposing a short-term hybrid energy system robust optimization model for regional energy system planning and air pollution mitigation based on the inexact multi-stage stochastic integer programming and conditional value-at-risk method through a case study in Shandong Province, China. Six power conversion technologies (i.e., coal-fired power, hydropower, photovoltaic power, wind power, biomass power, and nuclear power) and power demand sectors (agriculture, industry, building industry, transportation, business, and residential department) were considered in the proposed model. The optimized electricity generation, capacity expansion schemes, and economic risks were selected to analyze nine defined scenarios. Results revealed that electricity generations of clean and new power had obvious increasing risks and were key considerations of establishing additional capacities to meet the rising social demands. Moreover, the levels of pollutants mitigation and risk-aversion had a significant influence on different power generation schemes and on the total system cost. In addition, the optimization method developed in this paper could effectively address uncertainties expressed as probability distributions and interval values, and could avoid the system risk in energy system planning problems. The proposed optimization model could be valuable for supporting the adjustment or justification of air pollution mitigation management and electric power planning schemes in Shandong, as well as in other regions of China.
关键词 ：
electric power capacity planning electric power capacity planning emission reduction emission reduction multi-scenario analysis multi-scenario analysis stochastic programming stochastic programming system risk aversion system risk aversion
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| GB/T 7714 | Cui, Jixian , Liao, Chenghao , Ji, Ling et al. A Short-Term Hybrid Energy System Robust Optimization Model for Regional Electric-Power Capacity Development Planning under Different Pollutant Control Pressures [J]. | SUSTAINABILITY , 2021 , 13 (20) . |
| MLA | Cui, Jixian et al. "A Short-Term Hybrid Energy System Robust Optimization Model for Regional Electric-Power Capacity Development Planning under Different Pollutant Control Pressures" . | SUSTAINABILITY 13 . 20 (2021) . |
| APA | Cui, Jixian , Liao, Chenghao , Ji, Ling , Xie, Yulei , Yu, Yangping , Yin, Jianguang . A Short-Term Hybrid Energy System Robust Optimization Model for Regional Electric-Power Capacity Development Planning under Different Pollutant Control Pressures . | SUSTAINABILITY , 2021 , 13 (20) . |
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摘要 ：
In this study, a new concept concerning comprehensive characteristics of water resources utilization as an index for risk modeling within the water allocation management model is proposed to explore the tolerance of unbalanced allocation problem under water-energy nexus. The model is integrated with interval two-stage stochastic programming for reflecting system uncertainties. These uncertainties are associated with the industrial production feature and the decision-making process. With respect to water-energy nexus, energy proposed is mainly focused on the consumption intensity of water purification and transportation from different water sources. The developed model is applied for industrial water resources allocation management in Henan province, China. Multiple scenarios related to disparate energy consumption control and the comprehensive risk levels are simulated to obtain a reasonable trade-off among system profit, comprehensive risk, and energy consumption. The results indicated that the strict comprehensive risk management or energy consumption control measures could cause damage to system benefit owing to decreasing the flexibility of industrial water resources distributions, and the preliminary energy consumption or the comprehensive risk control would be beneficial to moderate the conflict between industrial sectors and water resources, and accelerate industrial structure transformation in the future. HIGHLIGHTS A comprehensive risk-oriented industrial water resources management model is proposed. Uncertainties are reflected as stochastic and interval information. Energy-water nexus is a constraint index for water purification and transportation. The tolerance of unbalanced allocation problem is explored. Trade-off among system profit, comprehensive risk, and energy consumption is analyzed.
关键词 ：
comprehensive risk comprehensive risk energy consumption control energy consumption control optimization model optimization model unbalanced allocation unbalanced allocation water management water management
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| GB/T 7714 | Yu, Yangping , Xie, Yulei , Ji, Ling et al. Water management for industrial development, energy conservation, and subjective attitudes: a comprehensive risk-oriented model to explore the tolerance of unbalanced allocation problem [J]. | JOURNAL OF WATER AND CLIMATE CHANGE , 2021 . |
| MLA | Yu, Yangping et al. "Water management for industrial development, energy conservation, and subjective attitudes: a comprehensive risk-oriented model to explore the tolerance of unbalanced allocation problem" . | JOURNAL OF WATER AND CLIMATE CHANGE (2021) . |
| APA | Yu, Yangping , Xie, Yulei , Ji, Ling , Zhang, Jinbo , Cai, Yanpeng , Yang, Zhifeng . Water management for industrial development, energy conservation, and subjective attitudes: a comprehensive risk-oriented model to explore the tolerance of unbalanced allocation problem . | JOURNAL OF WATER AND CLIMATE CHANGE , 2021 . |
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摘要 ：
Quantifying the decoupling states of carbon emissions from a multi-sectoral and dual-perspective can guide more detailed emission reduction strategies. Based on the single-regional input-output (SRIO), Tapio decoupling analysis (TDA), and structural decomposition analysis (SDA), this study investigated the dynamic variation feature and decoupling state of multi-sectoral carbon emissions, and revealed their driving factors of consumption-based emissions in Guangdong province from 2002 to 2017. The main discovery can be summarized as follows from results analysis. Firstly, electricity production sector and construction sector were the largest direct and embodied carbon emission sources, and capital formation was the most important factor with the contribution of approximately 100 % that led to embodied carbon emissions of construction. For most of the manufacturing and service sectors, the embodied carbon emissions caused by international export exceed 50 %. Secondly, the consumption structure, consumption per capita, and population effect promoted the embodied emissions during 2002-2012, while the emission intensity effect was the greatest offsetting factor for all sectors. Consumption structure effect was becoming a major driver to the increase of embodied carbon emissions for construction. Thirdly, agriculture, mining, energy transformation, and service sector showed the unsatisfactory decoupling relationship between direct carbon emissions and economic output. According to the decoupling states, the decoupling relationships in some secondary industries were overestimated under the situation of only considering direct carbon emissions. The obtained results and policy implications are expected to provide holistic reference for policymakers to promote the short-term carbon peak and long-term carbon neutrality of Guangdong province from the sectoral perspective.
关键词 ：
Carbon emissions mitigation Carbon emissions mitigation Decoupling state Decoupling state Guangdong province Guangdong province Input-output model Input-output model Multiple sectors Multiple sectors Structural decomposition analysis Structural decomposition analysis
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| GB/T 7714 | Xu, Wenhao , Xie, Yulei , Xia, Dehong et al. A multi-sectoral decomposition and decoupling analysis of carbon emissions in Guangdong province, China [J]. | JOURNAL OF ENVIRONMENTAL MANAGEMENT , 2021 , 298 . |
| MLA | Xu, Wenhao et al. "A multi-sectoral decomposition and decoupling analysis of carbon emissions in Guangdong province, China" . | JOURNAL OF ENVIRONMENTAL MANAGEMENT 298 (2021) . |
| APA | Xu, Wenhao , Xie, Yulei , Xia, Dehong , Ji, Ling , Huang, Guohe . A multi-sectoral decomposition and decoupling analysis of carbon emissions in Guangdong province, China . | JOURNAL OF ENVIRONMENTAL MANAGEMENT , 2021 , 298 . |
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摘要 ：
By combining geographic information systems (GIS) and multi-criteria decision making (MCDM) method, this paper presents a framework to evaluate the suitable location and technical potentials for large-scale solar photovoltaic (PV) and concentrated solar power (CSP) plants. With the assist of spatial tools, the potential locations are identified by extracting restrictive criteria (e.g. protected area, land cover, transport infrastructure, and orography). Using MCDM, the land suitability for PV and CSP plants is evaluated with the comprehensive consideration of different factors, such as climate, orography, water availability, and location, where factor weights are calculated by the analytic hierarchy process (AHP) method. The study framework is illustrated by Ningxia, China, a key energy project area along the Belt and Road with abundant solar radiation. The obtained results suggested that the middle area of Ningxia is recommended for the solar power plant deployment. Besides, due to the limitation of water resource availability, PV technology is more appropriate for the study area than CSP technology. The estimated total technical potentials of PV and CSP systems could be 443 TWh/year and 308 TWh/year, indicating great potential for future solar energy development to enhance the renewable energy supply and participate in energy cooperation with the other regions. Moreover, sensitivity analysis is conducted to investigate the impacts of system efficiency variation on energy output. The results can be used for the identification of the potential areas for solar power plant installation, as well as support for the synergic expansion of generation plants and the power grid. © 2020
关键词 ：
Analytic hierarchy process Analytic hierarchy process Conservation Conservation Decision making Decision making Electric power transmission networks Electric power transmission networks Energy policy Energy policy Geographic information systems Geographic information systems Large scale systems Large scale systems Location Location Sensitivity analysis Sensitivity analysis Solar energy Solar energy Solar power generation Solar power generation Solar power plants Solar power plants Water resources Water resources
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| GB/T 7714 | Sun, Lijian , Jiang, Yuncheng , Guo, Qingsheng et al. A GIS-based multi-criteria decision making method for the potential assessment and suitable sites selection of PV and CSP plants [J]. | Resources, Conservation and Recycling , 2021 , 168 . |
| MLA | Sun, Lijian et al. "A GIS-based multi-criteria decision making method for the potential assessment and suitable sites selection of PV and CSP plants" . | Resources, Conservation and Recycling 168 (2021) . |
| APA | Sun, Lijian , Jiang, Yuncheng , Guo, Qingsheng , Ji, Ling , Xie, Yulei , Qiao, Qinhua et al. A GIS-based multi-criteria decision making method for the potential assessment and suitable sites selection of PV and CSP plants . | Resources, Conservation and Recycling , 2021 , 168 . |
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摘要 ：
Resource and environmental elements as controlling factors for ecologic and socio-economic are crucial to seek new ideas and paths for development and prosperity. In this study, environmentally-extended input-output analysis and ecological network analysis were combined to develop three ecological networks including energy ecological network, water ecological network, and carbon ecological network for searching the complex relationships among different departments for water utilization, energy consumption, and carbon emissions under considering China as a superorganism with various complex metabolic processes and the most fundamental metabolic materials. The embodied ecological elements intensity, the indirect consumption and emissions, the embodied material flows, the ecological relationships, and the dependence intensities among sectors was obtained through transforming the monetary input-output data to physical data from 2007, 2012, and 2017. The results show that the Energy Ecological Network and Water Ecological Network were in a relatively stable state with a mutualism index greater than 1, and the relationship among different sectors in the CO2 Ecological Network needs to be further adjusted. AM (Advanced Manufacture) and Agr (Agriculture) played the top exporter and importer roles with AM as the largest embodied energy consumer and CO2 emitter, and Agr as the largest embodied water user. More measures about resource conservation and emission reduction for AM and Agr are desired. Con (construction) had a strong dependence intensity on other sectors with amounts of over 90%. Resources and environmental effects on Con can be improved by increasing the utilization efficiency of intermediate products. The results could provide scientific policy implications and guidelines to promote the stable and healthy operations by revealing the dynamic change of sectors within the Energy-Water-CO2 metabolic system in China.
关键词 ：
China China Ecological network analysis Ecological network analysis Energy-Water-CO(2) metabolic system Energy-Water-CO(2) metabolic system Industrial relatedness Industrial relatedness Resources and environment responses Resources and environment responses
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| GB/T 7714 | Xu Wenhao , Xie Yulei , Cai Yanpeng et al. Environmentally-extended input-output and ecological network analysis for Energy-Water-CO2 metabolic system in China. [J]. | The Science of the total environment , 2021 , 758 : 143931 . |
| MLA | Xu Wenhao et al. "Environmentally-extended input-output and ecological network analysis for Energy-Water-CO2 metabolic system in China." . | The Science of the total environment 758 (2021) : 143931 . |
| APA | Xu Wenhao , Xie Yulei , Cai Yanpeng , Ji Ling , Wang Bishi , Yang Zhifeng . Environmentally-extended input-output and ecological network analysis for Energy-Water-CO2 metabolic system in China. . | The Science of the total environment , 2021 , 758 , 143931 . |
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摘要 ：
Rooftop photovoltaic (PV) system, as part of the renewable energy development strategy to guarantee energy security and reduce greenhouse gas emissions in urban areas, has received a lot of attention during the last decade. To provide an up-to-date and systematic research landscape of the rooftop PV field, this study conducted the bibliometric analysis, collaboration network analysis, co-citation analysis, and hotspots detection based on 595 articles collected from the core collection database of Web of Science. The results showed that the number of publications per year in this field has increased steadily since 2015. The USA was the most important contributor in this research field in terms of quantity (number of publications) and impact (number of citations). The co-authorship communities were obtained by collaboration network analysis, and the international collaboration is expected to be further strengthened according to the research focuses of each community. The key knowledge base and the main hot topics of the rooftop PV research field were identified from co-citation analysis and keywords co-occurrence network. Furthermore, based on the literature review, a detailed analysis of the main topics was provided for a better understanding of the current research trends and opportunities. This study can be served as a strategic review of the rooftop PV field to help relevant researchers carry out in-depth research in the future. (c) 2021 Elsevier B.V. All rights reserved.
关键词 ：
Bibliometrics method Bibliometrics method Hot topics Hot topics Network analysis Network analysis Rooftop PV Rooftop PV
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| GB/T 7714 | Shen, Yuanfei , Ji, Ling , Xie, Yulei et al. Research landscape and hot topics of rooftop PV: A bibliometric and network analysis [J]. | ENERGY AND BUILDINGS , 2021 , 251 . |
| MLA | Shen, Yuanfei et al. "Research landscape and hot topics of rooftop PV: A bibliometric and network analysis" . | ENERGY AND BUILDINGS 251 (2021) . |
| APA | Shen, Yuanfei , Ji, Ling , Xie, Yulei , Huang, Guohe , Li, Xin , Huang, Lucheng . Research landscape and hot topics of rooftop PV: A bibliometric and network analysis . | ENERGY AND BUILDINGS , 2021 , 251 . |
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