Query：
学者姓名：嵇灵
Refining：
Year
Type
Indexed by
Source
Complex
Co-Author
Language
Clean All
Abstract ：
Bioethanol has emerged as a promising alternative to fossil fuels, but its commercialization is hindered by high costs and uncertainties surrounding feedstock supply and policies. To address these challenges, a two-stage stochastic robust programming model is developed for regional biorefineries planning and supply chain management with various technological choices and uncertainty fusions. The model maximizes total profits by optimizing site selection, alternative technology combinations, feedstock inventories, and accounting for uncertain and seasonally varying biomass supply. This method helps decision-makers achieve risk-aversion robust optimal solutions, tailored for a case study in Guangdong, China. The results suggest that installing 8 biorefineries using the LHW-SSF-A technique combination would be optimal. The desired feedstock warehouse capacity would be 358.48 ktons, with low utilization closely tied to seasonal crop harvests. Risk-averse decision makers would take conservative production strategies, potentially reducing investment in biorefineries, while market prices and subsidies could encourage fewer conservative investors.
Keyword ：
Two-stage stochastic programming Two-stage stochastic programming Robust programming Robust programming Biomass Biomass Supply chain management Supply chain management Bioethanol production Bioethanol production
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Huang, Xianling , Ji, Ling , Yin, Jianguang et al. Optimal design and robust operational management of regional bioethanol supply chain with various technological choices and uncertainty fusions [J]. | COMPUTERS & CHEMICAL ENGINEERING , 2023 , 182 . |
| MLA | Huang, Xianling et al. "Optimal design and robust operational management of regional bioethanol supply chain with various technological choices and uncertainty fusions" . | COMPUTERS & CHEMICAL ENGINEERING 182 (2023) . |
| APA | Huang, Xianling , Ji, Ling , Yin, Jianguang , Huang, Guohe . Optimal design and robust operational management of regional bioethanol supply chain with various technological choices and uncertainty fusions . | COMPUTERS & CHEMICAL ENGINEERING , 2023 , 182 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
This study presents a novel decision-support framework for the bioethanol supply chain network planning and management under uncertainties. Under the holistic framework, the most suitable sites for biorefineries are first screened out by adopting a GIS-based multi-criteria decision-making approach. Then, a mixed-integer linear programming model combined with quantile-based scenario analysis is developed to determine the strategic planning (i.e. locations and size of biorefineries) and tactical management (i.e. biomass purchasing, feedstock transportation, bioethanol production, and product delivery) under uncertainties. The model can effectively search for reliable solutions under uncertainties and achieve tradeoff solutions with the consideration of decision makers' risk tolerance. The proposed framework is demonstrated through a case study in China. It is suggested to build seven biorefineries with a capacity of 100 million liters in Zhumadian city. Utilizing 41% of local agricultural residues could satisfy the bioethanol requirement in the transportation sector under the E20 policy. However, the estimated production cost of bioethanol in Zhumadian is very high, about 1.11 $/L, which makes it lose cost advantage in the fuel market. Thus, currently, effective subsidies, mandatory energy substitution policies, along other environmental regulatory measures are desired to promote the bioethanol industry development.
Keyword ：
Bioethanol supply chain Bioethanol supply chain Uncertainties Uncertainties GIS GIS Quantile-based scenario analysis Quantile-based scenario analysis MCDM MCDM
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Wang, Mengmeng , Ji, Ling , Xie, Yulei et al. Regional bioethanol supply chain optimization with the integration of GIS-MCDM method and quantile-based scenario analysis [J]. | JOURNAL OF ENVIRONMENTAL MANAGEMENT , 2023 , 351 . |
| MLA | Wang, Mengmeng et al. "Regional bioethanol supply chain optimization with the integration of GIS-MCDM method and quantile-based scenario analysis" . | JOURNAL OF ENVIRONMENTAL MANAGEMENT 351 (2023) . |
| APA | Wang, Mengmeng , Ji, Ling , Xie, Yulei , Huang, Guohe . Regional bioethanol supply chain optimization with the integration of GIS-MCDM method and quantile-based scenario analysis . | JOURNAL OF ENVIRONMENTAL MANAGEMENT , 2023 , 351 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
As the total water resources consumption control and carbon mitigation continuous improvement, the weak water-carbon incorporate management is increasingly exposed. In this study, a water-carbon nexus assessment framework is proposed to analyze the nexus relationship between water consumption and carbon emission, and distinguishes the coupled water-carbon transmission intensity and the transfer paths under regional and industrial scales. According to the practical input-output table, water consumption, and carbon emission information, the framework is applied to Beijing-Tianjin-Hebei urban agglomeration (BTHUA), a population, resource, and trade intensive area of China. Inter-regional/intra-regional water consumption and carbon emission transfer fluxes between sectors, the pairwise ecological relationship, and the water-carbon nexus were analyzed. Results indicated that the water-carbon transfer indexes from Hebei to Beijing and Tianjin were 161.85 kg/m(3) and 113.88 kg/m(3) in the study period, along with the most water consumption and carbon emission, and the worst water-carbon nexus. From the industrial perspective, electricity and gas supplying industry provided 7.8% and 29.1% of the total carbon transfer in Tianjin and Hebei, as the most key node sectors on the water-carbon nexus in the BTHUA. The research provides valuably supporting the adjustment of the existing urban agglomeration water-carbon nexus management schemes.
Keyword ：
Environment -extended multi-region input-output model Environment -extended multi-region input-output model Water-carbon nexus Water-carbon nexus Urban agglomerations Urban agglomerations Assessment framework Assessment framework
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Luo, Zhiwei , Ji, Ling , Xie, Yulei et al. Water-carbon nexus relationship and interaction mechanism analysis within Beijing-Tianjin-Hebei urban agglomeration [J]. | JOURNAL OF ENVIRONMENTAL MANAGEMENT , 2022 , 321 . |
| MLA | Luo, Zhiwei et al. "Water-carbon nexus relationship and interaction mechanism analysis within Beijing-Tianjin-Hebei urban agglomeration" . | JOURNAL OF ENVIRONMENTAL MANAGEMENT 321 (2022) . |
| APA | Luo, Zhiwei , Ji, Ling , Xie, Yulei , Zhai, Liang , Cai, Yanpeng . Water-carbon nexus relationship and interaction mechanism analysis within Beijing-Tianjin-Hebei urban agglomeration . | JOURNAL OF ENVIRONMENTAL MANAGEMENT , 2022 , 321 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
Comprehensively understanding the factors influencing crime is a prerequisite for preventing and combating crime. Although some studies have investigated the relationship between environmental factors and property crime, the interaction between factors was not fully considered in these studies, and the explanation of complex factors may be insufficient. This paper explored the influence of environmental factors on property crime using factor regression and factor interaction based on data from the central city of Lanzhou, China. Our findings showed that: (1) The distribution of crime cases showed the pattern of a local multi-center. Shop density, hotel density, entertainment density and house price were the four dominant environmental drivers of property crime; (2) The relationship between the light intensity and property crime had different correlation explanations in temporal projection and spatial projection. There was a normal distribution curve between the number of property crimes and the Price-to-Earnings Ratio (PE Ratio) of the community house price; and (3) The results of the factor interaction indicated that the effect of all factors on crime showed a two-factor enhancement. As an important catalyst, shop density had the strongest interaction with other factors. Shop density gradient influenced the degree of interpretation of spatial heterogeneity of property crime.
Keyword ：
Bayesian linear regression (BLR) Bayesian linear regression (BLR) geo-detector geo-detector Lanzhou Lanzhou factor interaction factor interaction property crime property crime environmental factors environmental factors
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Sun, Lijian , Zhang, Guozhuang , Zhao, Dan et al. Explore the Correlation between Environmental Factors and the Spatial Distribution of Property Crime [J]. | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION , 2022 , 11 (8) . |
| MLA | Sun, Lijian et al. "Explore the Correlation between Environmental Factors and the Spatial Distribution of Property Crime" . | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 11 . 8 (2022) . |
| APA | Sun, Lijian , Zhang, Guozhuang , Zhao, Dan , Ji, Ling , Gu, Haiyan , Sun, Li et al. Explore the Correlation between Environmental Factors and the Spatial Distribution of Property Crime . | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION , 2022 , 11 (8) . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
Waste-to-energy technologies compatible with recycling are promising solutions for sustainable municipal waste management from both economic and environmental perspectives. This study focuses on the economic -environment-energy (3E) objective-driven integrated waste management optimization problems under deep complexities. A novel multi-objective programming model is developed to assist the optimal decision-making with the consideration of system profit, greenhouse gas emission, and energy recovery simultaneously. Be-sides, it advances existing optimization methods by incorporating interval-valued fuzzy numbers to tackle the ambiguity and the essential fuzziness in experts' judgment. It was verified by a case study from an urban district of Beijing, China. The optimum waste treatment facility planning and waste stream allocation strategies with multi-objective tradeoffs were obtained to support decision-making considering different preferences of impor-tance ranking. In general, incineration and anaerobic digestion would be the main technologies for waste disposal in the study area. Recycling would be greatly encouraged when pursuing more economic profits and greenhouse gas emission reduction. With withdrawing the subsidy in the future, the investment in anaerobic digestion would become less attractive. Meanwhile, the landfill with gas recovery would even become economically infeasible if there is no further reduction in cost. In addition, waste source separation is also a crucial factor for successful integrated waste management. It is suggested that a proper government subsidy and public participation in waste source separation would guarantee the sustainable development of the integrated waste management system.
Keyword ：
Waste management Waste management Multi-objective programming Multi-objective programming Waste-to-energy Waste-to-energy Interval-valued fuzzy parameters Interval-valued fuzzy parameters
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Liang, Xiaolin , Ji, Ling , Xie, Yulei et al. Economic-Environment-Energy (3E) objective-driven integrated municipal waste management under deep complexities - A novel multi-objective approach [J]. | SUSTAINABLE CITIES AND SOCIETY , 2022 , 87 . |
| MLA | Liang, Xiaolin et al. "Economic-Environment-Energy (3E) objective-driven integrated municipal waste management under deep complexities - A novel multi-objective approach" . | SUSTAINABLE CITIES AND SOCIETY 87 (2022) . |
| APA | Liang, Xiaolin , Ji, Ling , Xie, Yulei , Huang, Guohe . Economic-Environment-Energy (3E) objective-driven integrated municipal waste management under deep complexities - A novel multi-objective approach . | SUSTAINABLE CITIES AND SOCIETY , 2022 , 87 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
Economic growth is constrained by water scarcity, and a unified policy analysis framework is required to enhance the coordinated development of the environ-economic system from the perspective of wastewater management. Thus, a multi-scale water-economic double dividend mechanism model (MWED) is first developed to (i) derive strategies for simultaneously achieving water scarcity mitigation and economic increase through compounding wastewater tax (WT) policies and reduced value-added tax (RVT) policies; (ii) explore the internal response mechanisms at the sectoral scale in the central region; and (iii) reveal the responses of economic output and multiple water resources in external regions under the cascading effects. This integrated approach of a computable general equilibrium model, an ecological network analysis, and a multi-regional input-output analysis is applied to Shanxi Province, China, a representative water-scarce region. The double dividend strategies of WT_6 yuan/ton*RVT_2%, WT_8 yuan/ton*RVT_2.5%, and WT_10 yuan/ton*RVT_3% were conducive to alleviating water scarcity and stimulating economic growth by adjusting the production structures or upgrading treatment technologies to reduce wastewater discharge, reducing the use of water-intensive energy sources to condense direct water consumption, and enhancing the connection between low water consumption sectors and advantageous economic sectors to optimize the virtual water network structure. Based on complex inter-regional relationships, these cascading effects can stimulate the economic output of other provinces and alleviate prevailing water scarcities by increasing virtual water inflows in economically developed regions and decreasing direct water consumption in economically undeveloped regions. The ability of water-rich regions to reconcile differences in water resource endowments can be further strengthened.
Keyword ：
Multi -scale response mechanisms Multi -scale response mechanisms Water scarcity Water scarcity Multi -regional input-output analysis Multi -regional input-output analysis Computable general equilibrium model Computable general equilibrium model Double dividend strategy Double dividend strategy Ecological network analysis Ecological network analysis
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Zhang, Jinbo , Liu, Lirong , Xie, Yulei et al. Revealing the impact of a water-economy nexus-based joint tax management policy on the environ-economic system: An advanced exploration of double dividend strategies and multi-scale response mechanisms [J]. | JOURNAL OF CLEANER PRODUCTION , 2022 , 377 . |
| MLA | Zhang, Jinbo et al. "Revealing the impact of a water-economy nexus-based joint tax management policy on the environ-economic system: An advanced exploration of double dividend strategies and multi-scale response mechanisms" . | JOURNAL OF CLEANER PRODUCTION 377 (2022) . |
| APA | Zhang, Jinbo , Liu, Lirong , Xie, Yulei , Ji, Ling , Meng, Haoyun , Zhang, Yang et al. Revealing the impact of a water-economy nexus-based joint tax management policy on the environ-economic system: An advanced exploration of double dividend strategies and multi-scale response mechanisms . | JOURNAL OF CLEANER PRODUCTION , 2022 , 377 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
With the advantages of avoiding land-use competition, biomass from agricultural residues is a promising solution to alleviate the energy crisis and environmental problems. In the traditional biomass utilization management problem, few studies have considered that land and water are key resources for the sustainable development of biomass from a life cycle view. Concerning the complex food-water-energy nexus, this paper focuses on the synergetic management of crop planting structure and biomass utilization as a whole system. An integrated framework is proposed for the co-optimization of cropland distribution and biomass utilization pathway under multiple uncertainties. Base on interval programming and fuzzy set theory, a type-2 fuzzy interval linear programming model is developed to handle multiple uncertainties with various characteristics and provide the optimum strategies for decision makers with different risk preferences. The proposed framework is verified by a case study of Hebei Province, China. Moreover, the impacts of water shortage and the implementation of the carbon price on the optimized strategies, economic and environmental benefits are investigated to provide deeper management insights when facing complex external factors. The obtained results suggest that corn and wheat will still be the primary crops, and bioethanol production will gain priority in the biomass utilization pathways for economic purposes. Water resources availability will greatly affect the crop planting allocation as well as total benefits but barely influence the biomass utilization pathways. Furthermore, with the implementation of the carbon trade market, a higher carbon price will stimulate biomass pellets production to replace fossil fuel consumption and improve the economic benefits directly.
Keyword ：
Food-energy-water nexus Food-energy-water nexus Type-2 fuzzy Type-2 fuzzy Multiple uncertainties Multiple uncertainties Crop planting structure Crop planting structure Synergic management Synergic management Biomass utilization Biomass utilization
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Zheng, Zixuan , Ji, Ling , Xie, Yulei et al. Synergic management of crop planting structure and biomass utilization pathways under a food-energy-water nexus perspective [J]. | JOURNAL OF CLEANER PRODUCTION , 2022 , 335 . |
| MLA | Zheng, Zixuan et al. "Synergic management of crop planting structure and biomass utilization pathways under a food-energy-water nexus perspective" . | JOURNAL OF CLEANER PRODUCTION 335 (2022) . |
| APA | Zheng, Zixuan , Ji, Ling , Xie, Yulei , Huang, Guohe , Pan, Jiahua . Synergic management of crop planting structure and biomass utilization pathways under a food-energy-water nexus perspective . | JOURNAL OF CLEANER PRODUCTION , 2022 , 335 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
Energy and water are rapidly consumed as the most basic strategic resources of various nations. It is of vital importance to systematically explore the environmental and economic impacts of energy-water co-management policies. This study is to develop a multiperspective-driven factorial metabolic network analysis framework (MPDF) to (a) investigate the direct/indirect/total resource consumption response mechanisms induced by changes in production and consumption; (b) explore the factor interactions of different policies in diverse energy and water metabolic networks by initiating factorial analysis; (c) quantify the economic effects of co management policies by proposing multiple vulnerability indicators. A typical energy-dependent region, Shanxi Province, China was selected as a case study. The results indicated that the production-and consumption oriented policies have various guidelines for reducing direct and indirect energy-water consumption. Significant interactions in simulation results suggest synergistic effects across sectors. Considering that Shanxi's energy water nexus economic vulnerability is as high as 2.22%, it is recommended to prioritize the allocation of resources to sectors with significant factor effects to avoid economic losses. Implementing corresponding resource conservation policies for light industry, machinery manufacturing, construction can reduce water consumption by 18.8%. The findings are expected to provide a solid scientific basis for formulating co-management strategies to alleviate resource scarcities.
Keyword ：
Energy -water nexus scarcity Energy -water nexus scarcity Policy simulation Policy simulation Environmentally extended input -output Environmentally extended input -output network framework network framework analysis analysis Multiperspective-driven factorial metabolic Multiperspective-driven factorial metabolic Factorial design Factorial design
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Zhang, Jinbo , Xie, Yulei , Liu, Lirong et al. Multiperspective-driven factorial metabolic network analysis framework for energy-water nexus vulnerability assessment and management-policy simulation [J]. | JOURNAL OF ENVIRONMENTAL MANAGEMENT , 2022 , 315 . |
| MLA | Zhang, Jinbo et al. "Multiperspective-driven factorial metabolic network analysis framework for energy-water nexus vulnerability assessment and management-policy simulation" . | JOURNAL OF ENVIRONMENTAL MANAGEMENT 315 (2022) . |
| APA | Zhang, Jinbo , Xie, Yulei , Liu, Lirong , Ji, Ling , Zhang, Yang , Guo, Huaicheng . Multiperspective-driven factorial metabolic network analysis framework for energy-water nexus vulnerability assessment and management-policy simulation . | JOURNAL OF ENVIRONMENTAL MANAGEMENT , 2022 , 315 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
This paper presents an integrated research framework for the techno-economic feasibility and optimal design of a hybrid energy system for a remote area. A mixed-integer linear programming model is developed for finding optimal solutions to satisfy electricity demand and ensure sustainability. The cost-efficiency and environmental benefits of the hybrid system under the stand-alone and grid-connected operation modes are evaluated and compared. Suifenhe, a remote border area in Northeast China was taken as the case study to verify this model. The results suggest that a grid-connected hybrid system consisting of solar power (28.17 MW), biomass generator (8.71 MW), and battery storage (79.51 MW) is the best economically feasible option to satisfy local electricity demand with the levelized cost of electricity of 0.1498 $/kWh. To achieve 100% electricity self-sufficiency, diesel generators would become the main component satisfying 70% of total demand due to the cost advantage and flexibility. Besides, a 100% renewable energy system is currently not economically feasible due to extremely high costs and considerable electricity supply surplus. Future decreasing PV capital cost and implementing carbon price would facilitate the development of renewable energy and the decarbonization of the power system.
Keyword ：
Sensitivity analysis Sensitivity analysis Photovoltaic Photovoltaic Levelized cost of energy Levelized cost of energy Remote area Remote area Biomass generator Biomass generator
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Ji, Ling , Liu, Zhengping , Wu, Yuxuan et al. Techno-economic feasibility analysis of optimally sized a biomass/PV/DG hybrid system under different operation modes in the remote area [J]. | SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS , 2022 , 52 . |
| MLA | Ji, Ling et al. "Techno-economic feasibility analysis of optimally sized a biomass/PV/DG hybrid system under different operation modes in the remote area" . | SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS 52 (2022) . |
| APA | Ji, Ling , Liu, Zhengping , Wu, Yuxuan , Huang, Guohe . Techno-economic feasibility analysis of optimally sized a biomass/PV/DG hybrid system under different operation modes in the remote area . | SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS , 2022 , 52 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
Modern urban energy system with renewable energy sources has become an effective solution to enhance energy security and promote carbon neutrality. This paper presents a holistic framework for the optimal design and management of such a flexible hybrid power system at the community scale. This framework integrates the potential assessment of rooftop PV and waste biomass, a general optimization approach with multi-perspective performance evaluation, as well as the impacts analysis of energy policy, demand response, and uncertain economic parameters. The proposed framework was applied to a small neighborhood area in Beijing, China. It was found that 100% utilization of available biomass and rooftop PV would satisfy 73% of local electricity demand with the levelized cost of electricity of 0.1030 $/kWh and the embodied carbon emission of 0.5416 kg/ kWh. The flexible shiftable load could lead to lower peak load and less electricity supply cost, and help to match the energy demand with the dispatchable rooftop PV output. However, the economic benefits caused by implementing demand response are more obvious than the environmental benefits. Furthermore, a higher electricity tariff and lower capital cost of PV technology would facilitate the investment in rooftop PV and achieve carbon emission reduction targets.
Keyword ：
Demand response Demand response Rooftop PV Rooftop PV Community scale Community scale Hybrid power system Hybrid power system Waste biomass Waste biomass
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Ji, Ling , Wu, Yuxuan , Liu, Yao et al. Optimizing design and performance assessment of a community-scale hybrid power system with distributed renewable energy and flexible demand response [J]. | SUSTAINABLE CITIES AND SOCIETY , 2022 , 84 . |
| MLA | Ji, Ling et al. "Optimizing design and performance assessment of a community-scale hybrid power system with distributed renewable energy and flexible demand response" . | SUSTAINABLE CITIES AND SOCIETY 84 (2022) . |
| APA | Ji, Ling , Wu, Yuxuan , Liu, Yao , Sun, Lijian , Xie, Yulei , Huang, Guohe . Optimizing design and performance assessment of a community-scale hybrid power system with distributed renewable energy and flexible demand response . | SUSTAINABLE CITIES AND SOCIETY , 2022 , 84 . |
| Export to | NoteExpress RIS BibTex |
Export
| Results： |
Selected to |
| Format： |
