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学者姓名：嵇灵
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Abstract ：
With the rapid urbanization and electrification in recent years, investment and construction in power infrastructure have been strengthened. Although it has a positive impact on economic development and energy distribution, the ecological and landscape impacts brought by the construction of related auxiliary facilities are often overlooked. To achieve a harmonious relationship between energy development and ecological protection, this study aims at the impacts of power transmission and transformation projects on ecological corridors and landscape connectivity. By coupling the morphological spatial pattern analysis and the least-cost path model, the regional ecological corridors are first constructed. In addition, the influences of power transmission and transformation projects on landscape connectivity can be evaluated and compared. This framework is verified through a case study of Shandong Province in China. The results indicated that power transmission and transformation projects had a significant impact on the migration resistance of landscapes, impeding the formation of ecological corridors for species. Additionally, these projects have exerted a pronounced cutting effect on landscapes, reducing ecological corridor permeability and landscape connectivity. It is crucial to preserve the habitats of major ecological sources while maintaining and developing the ecological nodes along the key ecological corridors. The findings contributed to the harmonization of regional energy planning and ecological protection, providing a reference for the future layout of transmission and transformation project construction and development.
Keyword ：
Morphological spatial pattern analysis Morphological spatial pattern analysis Ecological corridor Ecological corridor Power transmission and transformation projects Power transmission and transformation projects Least-cost path method Least-cost path method
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| GB/T 7714 | Yin, Jianguang , Wei, Qingquan , Shao, Dongliang et al. The impacts of power transmission and transformation projects on ecological corridors and landscape connectivity: a case study of Shandong province, China [J]. | SCIENTIFIC REPORTS , 2025 , 15 (1) . |
| MLA | Yin, Jianguang et al. "The impacts of power transmission and transformation projects on ecological corridors and landscape connectivity: a case study of Shandong province, China" . | SCIENTIFIC REPORTS 15 . 1 (2025) . |
| APA | Yin, Jianguang , Wei, Qingquan , Shao, Dongliang , Luo, Zhiwei , Ji, Ling . The impacts of power transmission and transformation projects on ecological corridors and landscape connectivity: a case study of Shandong province, China . | SCIENTIFIC REPORTS , 2025 , 15 (1) . |
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Abstract ：
It is attractive and advantageous to utilize marginal land to support regional biomass energy development and improve energy security. In this study, an integrated and comprehensive decision-making framework is proposed to support the strategic planning and tactical management of regional biomass supply networks from an energy- land-carbon nexus perspective. It combines a multi-objective fuzzy chance-constraint programming model with spatial analysis of marginal land and multi-criteria assessment of biorefinery sites. The model is verified through a case study of a major agricultural region, Shandong Province in China. Local agricultural residues remain a key feedstock for bioethanol production. The results highlight the importance of considering the multi-objective tradeoffs and the intricate resource and environmental nexus for stakeholders to achieve sustainability in real practice. A cost-minimization objective drives the construction of large-scale biomass plants to enhance efficiency. An emissions-minimization goal favors smaller, decentralized plants to reduce transport distances and improve local land use. Maximizing social welfare promotes marginal land development, creating more employment opportunities. Decision-makers' management goals, risk preferences, and external fluctuations significantly influence the spatial planning of bioethanol supply chains, marginal land utilization, and operational strategies. Overall, the proposed methodology offers decision-makers an effective tool for achieving optimal decisions while accounting for complex system interdependencies, conflicting objectives, and uncertainties.
Keyword ：
programming programming Marginal land Marginal land Gis-mcdm Gis-mcdm Multi-objective Multi-objective Integrated management Integrated management Energy-land-carbon nexus Energy-land-carbon nexus
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| GB/T 7714 | Fang, Zhanxiang , Wang, Mengmeng , Ji, Ling et al. Multi-objective inexact optimization of the biomass supply chain from an energy-land-carbon nexus perspective [J]. | ENERGY NEXUS , 2025 , 17 . |
| MLA | Fang, Zhanxiang et al. "Multi-objective inexact optimization of the biomass supply chain from an energy-land-carbon nexus perspective" . | ENERGY NEXUS 17 (2025) . |
| APA | Fang, Zhanxiang , Wang, Mengmeng , Ji, Ling , Xie, Yulei , Zhen, Jiliang . Multi-objective inexact optimization of the biomass supply chain from an energy-land-carbon nexus perspective . | ENERGY NEXUS , 2025 , 17 . |
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Abstract ：
The rapid social and economic development has led to problems such as over-exploitation of water resources, strong demand for physical water resources, and disequilibrium of water resources load. Based on the current situation of the water resources system in Beijing-Tianjin-Hebei region, this study proposed an input-output analysis-assessment-prediction-optimization framework. A water resources dissipation environment extended multi-regional input-output model was established, and the spatial equilibrium of water resources load was evaluated comprehensively. Furthermore, a multi-dimensional spatial equilibrium optimal allocation for water resources was built to identify key nodes and sectors. The primary findings were as follows: (1) Shijiazhuang and Tangshan were the main cities with net virtual water outflow, while Beijing and Baoding were the primary recipients of net virtual water inflow; (2) The overall score for the spatial equilibrium assessment of water resource load was low, with dimension scores predominantly ranging between 0.2 and 0.6; (3) The key transfer nodes were predominantly concentrated on the "outflow from Shijiazhuang" and the "inflow to Cangzhou and Langfang" nodes. This research conducted an in-depth exploration of the direction of water resource transfers, the actual stress conditions, and the spatial equilibrium of water resources within the Beijing-Tianjin-Hebei region. Finally, the future adjustment strategy for water-intensive industries at the urban agglomeration scale was obtained.
Keyword ：
Spatial equilibrium optimal allocation Spatial equilibrium optimal allocation Multi-regional input-output model Multi-regional input-output model Beijing-Tianjin-Hebei region Beijing-Tianjin-Hebei region Virtual water Virtual water
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| GB/T 7714 | Luo, Zhiwei , Ji, Ling , Xie, Yulei . Multi-dimensional equilibrium optimal allocation of water resources in Beijing-Tianjin-Hebei region through spatial association network analysis [J]. | JOURNAL OF HYDROLOGY , 2024 , 642 . |
| MLA | Luo, Zhiwei et al. "Multi-dimensional equilibrium optimal allocation of water resources in Beijing-Tianjin-Hebei region through spatial association network analysis" . | JOURNAL OF HYDROLOGY 642 (2024) . |
| APA | Luo, Zhiwei , Ji, Ling , Xie, Yulei . Multi-dimensional equilibrium optimal allocation of water resources in Beijing-Tianjin-Hebei region through spatial association network analysis . | JOURNAL OF HYDROLOGY , 2024 , 642 . |
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Abstract ：
China has great potential for developing renewable energy to achieve its carbon neutrality goals. Orderly development of renewable energy is essential to enhance resource utilization efficiency and ensure safety during the energy system transition process. This study presents a thorough assessment of China's onshore wind power potential by considering the land suitability, the potential and temporal characteristics, and the impacts of climate change. The high-resolution maps combining wind resources with land conditions and climate scenarios are produced to provide insights into system planning, grid integration, and flexibility management. The results show that the capacity potential of onshore wind energy in China is 9.6 TW with an annual generation of 12.6 PWh, and 83 % of total capacity has a cost advantage with the levelized cost lower than the 60 $/MWh threshold. By comprehensively considering geographical, economic, and social criteria, around 8.1 % of the national territorial area is identified as the most suitable area for wind power development, primarily in Inner Mongolia and Xinjiang. The annual electricity generation from these areas can fulfill nearly 69 % of the nation's electricity demand. Future climate change projections indicate a remarkable generalized drop by 18 % in the north and a slight increase by 7 % in the south under the RCP 8.5 scenario. However, significant changes in wind resources are mostly within restricted areas, suggesting that future climate change would like to bring negative but limited impacts on wind power production in China.
Keyword ：
Land suitability Land suitability Climate change Climate change Wind energy Wind energy Spatial and temporal variability Spatial and temporal variability Potential assessment Potential assessment
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| GB/T 7714 | Ji, Ling , Li, Jiahui , Sun, Lijian et al. China's ' s onshore wind energy potential in the context of climate change [J]. | RENEWABLE & SUSTAINABLE ENERGY REVIEWS , 2024 , 203 . |
| MLA | Ji, Ling et al. "China's ' s onshore wind energy potential in the context of climate change" . | RENEWABLE & SUSTAINABLE ENERGY REVIEWS 203 (2024) . |
| APA | Ji, Ling , Li, Jiahui , Sun, Lijian , Wang, Shuai , Guo, Junhong , Xie, Yulei et al. China's ' s onshore wind energy potential in the context of climate change . | RENEWABLE & SUSTAINABLE ENERGY REVIEWS , 2024 , 203 . |
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Abstract ：
To address climate change and ensure energy security, biomass energy has become a popular renewable energy alternative to traditional fossil fuels. This study focuses on the strategic planning and tactical management problem of a regional biomass supply chain system with multiple feedstock and final products. A novel SVCbased data-driven robust optimization model is developed to provide the tradeoff solutions under uncertainties. Compared with the traditional robust optimization model, it can better depict the uncertain sets, reduce data redundancy, and provide less conservative strategies for decision makers according to their risk preferences. The proposed model is validated through a case study, Meizhou city in China. The results suggested the optimal investment scale and site for biorefineries and biomass power plants at the strategic planning level, as well as the feedstock supply network, inventory management, and production arrangement at the tactic management level. The optimal robust solutions can be derived by varying the envelope level of the uncertain sets. Moreover, sensitivity analysis is performed to investigate the influences of the variations of key parameters. It is found that the produced bioethanol and electricity lack cost advantages in the current situation, even with a 30 % reduction in main cost parameters. Insufficient biomass yield may require extra capital investment to satisfy bioenergy demand but with a higher supply cost. Thus, a high and long-term subsidy is necessary to facilitate the sustainable development of biomass and the low-carbon transition of the energy sector.
Keyword ：
Support vector clustering Support vector clustering Data-driven robust optimization Data-driven robust optimization Uncertain Uncertain Biomass supply chain system Biomass supply chain system
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| GB/T 7714 | Huang, Xianling , Ji, Ling , Xie, Yulei et al. Robust optimization of regional biomass supply chain system design and operation with data-driven uncertainties [J]. | FOOD AND BIOPRODUCTS PROCESSING , 2024 , 149 : 176-189 . |
| MLA | Huang, Xianling et al. "Robust optimization of regional biomass supply chain system design and operation with data-driven uncertainties" . | FOOD AND BIOPRODUCTS PROCESSING 149 (2024) : 176-189 . |
| APA | Huang, Xianling , Ji, Ling , Xie, Yulei , Luo, Zhiwei . Robust optimization of regional biomass supply chain system design and operation with data-driven uncertainties . | FOOD AND BIOPRODUCTS PROCESSING , 2024 , 149 , 176-189 . |
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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
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| 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 . |
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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
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| 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 . |
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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
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| 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 . |
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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
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| 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 . |
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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
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| 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 . |
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