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The transport sector has produced numerous carbon emissions in China, and it is important to promote low carbon commuting. As an emerging mode of urban low-carbon transportation in China, shared bicycles have been used by more and more citizens on a daily basis, with advantages of green and low-carbon emissions to environment, flexibility for short trips, and convenience for covering the distance between the normal low-carbon transportation and destinations. However, the imbalanced distribution of shared bicycles along subway lines, especially during the morning peak hours, has directly restricted their performance in urban traffic. In this paper, an integer linear program model (ILPM) is proposed to obtain an optimal low-carbon distribution plan of shared bicycles connecting with the subway line (SBCSL) during the morning peak hours. First, an objective function is built to improve the carbon emission reduction of SBCSL. Second, constraint functions are extracted considering the quantity of bicycles to be distributed to the subway line as well as the distribution limits of each subway station. At last, a case study is conducted on the distribution of shared bicycles in Beijing Subway Line 13 of China during the morning peak hours. The results show that the ILPM is of significance to provide optimal distribution scheme of shared bicycles in subway line with different station types including office-oriented, residential-oriented, and hybrid-oriented stations.
Shuo Zhang; Li Chen; Yingzi Li. Shared Bicycle Distribution Connected to Subway Line Considering Citizens’ Morning Peak Social Characteristics for Urban Low-Carbon Development. Sustainability 2021, 13, 9263 .
AMA StyleShuo Zhang, Li Chen, Yingzi Li. Shared Bicycle Distribution Connected to Subway Line Considering Citizens’ Morning Peak Social Characteristics for Urban Low-Carbon Development. Sustainability. 2021; 13 (16):9263.
Chicago/Turabian StyleShuo Zhang; Li Chen; Yingzi Li. 2021. "Shared Bicycle Distribution Connected to Subway Line Considering Citizens’ Morning Peak Social Characteristics for Urban Low-Carbon Development." Sustainability 13, no. 16: 9263.
Chinese wind power policies have productively promoted the development of wind power and also promoted the process of wind power participation in electricity market transactions. However, with policy emphasis on investment and neglect of utilization, there have been some difficulties in the development of Chinese wind power. To highlight the guiding role of policy and improve the wind power policy system, an analysis of Chinese wind power policies is conducted in this paper. First, aiming at the main components of wind power chain, including wind power construction, grid connection, transmission, and sales, a comprehensive and systematic frame of Chinese wind power policy system is proposed from the three aspects of development planning, administrative management and market transactions. Second, the indicator system of Chinese wind power development effectiveness is extracted, including installed capacity, power generation, power utilization hours, carbon emission reduction, investment, on-grid power price, wind curtailment rate, etc., and the effectiveness of policy implementation is verified. Third, new policy recommendations are proposed from parts of transmission, consumption, and market, for the development of Chinese wind power industry in the 14th Five-Year Plan period and the goal to reach the crest value of carbon dioxide emissions by 2030 and achieve carbon neutrality by 2060. In this paper, advice to supplement and improve the Chinese wind power policy system is provided, which may it promote better development of Chinese wind power in the following decade from the policy point of view.
Shuo Zhang; Li Chen; Yidan Zheng; Yingzi Li; Ying Li; Ming Zeng. How Policies Guide and Promoted Wind Power to Market Transactions in China during the 2010s. Energies 2021, 14, 4096 .
AMA StyleShuo Zhang, Li Chen, Yidan Zheng, Yingzi Li, Ying Li, Ming Zeng. How Policies Guide and Promoted Wind Power to Market Transactions in China during the 2010s. Energies. 2021; 14 (14):4096.
Chicago/Turabian StyleShuo Zhang; Li Chen; Yidan Zheng; Yingzi Li; Ying Li; Ming Zeng. 2021. "How Policies Guide and Promoted Wind Power to Market Transactions in China during the 2010s." Energies 14, no. 14: 4096.
Open source product design is characterized by dynamic evolution, autonomous task control, loose organization structure, and frequent collaboration, which shows the process is full of high uncertainty. Firms have used this innovation pattern to obtain ideas. To describe the firm-leading self-organization evolution process, an agent-based modeling and simulation method is applied. We have proposed an agent-based model including designers and firms in light of Complex Adaptive System theory firstly; Secondly, their behaviors, especially the two typical behaviors: task selection and plan screening are illustrated; Finally, the simulation results show that:1) evolution process of agent, product, and community can be described clearly by simulation. Agent-based simulation can support the analysis, evaluation and optimization of the evolution process;2) in task selection phase: firm’s recommendation can improve the evolution efficiency;3)in plan screening phase, firms’ “control” also plays important role in the evolution process, but the impact of designer agents’ self-organization cannot be ignored.
Yingzi Li; Shuo Zhang. Modeling and simulation of firm-leading self-organization evolution process in open source product design project. Journal of Industrial and Production Engineering 2020, 37, 148 -157.
AMA StyleYingzi Li, Shuo Zhang. Modeling and simulation of firm-leading self-organization evolution process in open source product design project. Journal of Industrial and Production Engineering. 2020; 37 (2-3):148-157.
Chicago/Turabian StyleYingzi Li; Shuo Zhang. 2020. "Modeling and simulation of firm-leading self-organization evolution process in open source product design project." Journal of Industrial and Production Engineering 37, no. 2-3: 148-157.
Based on the comprehensive utilization of energy storage, photovoltaic power generation, and intelligent charging piles, photovoltaic (PV)-storage charging stations can provide green energy for electric vehicles (EVs), which can significantly improve the green level of the transportation industry. However, there are many challenges in the PV-storage charging station planning process, making it theoretically and practically significant to study approaches to planning. This paper promotes a bi-level optimization planning approach for PV-storage charging stations. First, taking PV-storage charging stations and EV users as the upper- and lower-level problems, respectively, during the planning process, a bi-level optimization model for PV-storage charging stations considering user utility is established for capacity allocation and user behavior-based electricity pricing. Second, the model is converted into a single-level mixed-integer linear programming model using the piecewise linear utility function, Karush–Kuhn–Tucker (KKT) conditions, and linearization methods. Finally, to verify the validity of the proposed model and the solution algorithm, a commercial solver is used to solve the optimization model and obtain the planning scheme. The results show that the proposed bi-level optimization model can provide a more economical and reasonable planning scheme than the single-level model, and can reduce the investment cost by 8.84%, operation and maintenance cost by 13.23%, and increase net revenue by 5.11%.
Yingxin Liu; Houqi Dong; Shengyan Wang; Mengxin Lan; Ming Zeng; Shuo Zhang; Meng Yang; Shuo Yin. An Optimization Approach Considering User Utility for the PV-Storage Charging Station Planning Process. Processes 2020, 8, 83 .
AMA StyleYingxin Liu, Houqi Dong, Shengyan Wang, Mengxin Lan, Ming Zeng, Shuo Zhang, Meng Yang, Shuo Yin. An Optimization Approach Considering User Utility for the PV-Storage Charging Station Planning Process. Processes. 2020; 8 (1):83.
Chicago/Turabian StyleYingxin Liu; Houqi Dong; Shengyan Wang; Mengxin Lan; Ming Zeng; Shuo Zhang; Meng Yang; Shuo Yin. 2020. "An Optimization Approach Considering User Utility for the PV-Storage Charging Station Planning Process." Processes 8, no. 1: 83.
Open source design (OSD) is an emerging cluster design mode based on Internet, and it takes full advantage of knowledge, technology, and resources among designers to promote product development. In this mode, designers’ behaviors of collaboration have important influence on product development process. In this paper, firstly collaboration flow including two types of collaboration relations between designers in open source design is depicted. Secondly, two-phase collaborative behavior model including partner selection and response is built by means of utility functions. At last, simulation experiment including 4 scenarios is designed based on open source project of mobile phone and conducted by multiagent simulation, and contrastive analysis is carried out to study collaboration behaviors’ impact on open source design process. The results show that the two-phase collaborative behavior model elaborately describes structure evolution of Open Source Community (OSC) as well as designers’ collaboration behaviors and that different ways of partner selection behaviors have significant impact on the evolution of OSD process as well as OSC structure. Furthermore, the results suggest that designers should better consider more the factor of matching degree between designers but less collaboration record.
Shuo Zhang; Yingzi Li. Modeling and Simulation Study of Two-Phase Collaborative Behaviors Oriented to Open Source Design Process. Mathematical Problems in Engineering 2018, 2018, 1 -15.
AMA StyleShuo Zhang, Yingzi Li. Modeling and Simulation Study of Two-Phase Collaborative Behaviors Oriented to Open Source Design Process. Mathematical Problems in Engineering. 2018; 2018 ():1-15.
Chicago/Turabian StyleShuo Zhang; Yingzi Li. 2018. "Modeling and Simulation Study of Two-Phase Collaborative Behaviors Oriented to Open Source Design Process." Mathematical Problems in Engineering 2018, no. : 1-15.
Open source design (OSD) is an emerging mode of product design. In OSD process, how to select right tasks directly influences the efficiency and quality of task completion, hence impacting the whole evolution process of OSD. In this paper, designer’s bidirectional behavior of task selection integrating passive selection based on website recommendation and autonomous selection is modeled. First, the model of passive selection behavior by website recommendation is proposed with application of collaborative filtering algorithm, based on a three-dimensional matrix including information of design agents, tasks, and skills; second, the model of autonomous selection behavior is described in consideration of factors such as skill and incentive; third, the model of bidirectional selection behavior is described integrating the aforementioned two selection algorithms. At last, contrast simulation analysis of bidirectional selection, passive selection based on website recommendation, and autonomous selection is proposed with ANOVA, and results show that task selection behavior has significant effect on OSD evolution process and that bidirectional selection behavior is more effective to shorten evolution cycle according to the experiment settings. In addition, the simulation study testifies the model of bidirectional selection by describing the task selection process of OSD in microperspective.
Shuo Zhang; Yingzi Li. Modeling and Simulation Study of Designer’s Bidirectional Behavior of Task Selection in Open Source Design Process. Mathematical Problems in Engineering 2017, 2017, 1 -13.
AMA StyleShuo Zhang, Yingzi Li. Modeling and Simulation Study of Designer’s Bidirectional Behavior of Task Selection in Open Source Design Process. Mathematical Problems in Engineering. 2017; 2017 ():1-13.
Chicago/Turabian StyleShuo Zhang; Yingzi Li. 2017. "Modeling and Simulation Study of Designer’s Bidirectional Behavior of Task Selection in Open Source Design Process." Mathematical Problems in Engineering 2017, no. : 1-13.
In collaborative product development project plan phase, a reasonable allocation plan can shorten project duration. Static scheduling is a useful way to obtain the allocation result. Matching degree and resource categories are introduced into the standard model of multi-mode resource-constrained project scheduling problem to reflect the resource characteristics including three aspects: (1) human resource is different from technology resource, (2) different technology resources will influence project duration, and (3) technology resource quantities also influence duration. Aimed at two static scheduling models, simple genetic algorithm and two-layer parthenogenetic algorithm are designed. Finally, a case study was presented to validate the method.
Yingzi Li; Shuo Zhang. Static scheduling in consideration of resource categories in collaborative product development project. Advances in Mechanical Engineering 2015, 7, 1 .
AMA StyleYingzi Li, Shuo Zhang. Static scheduling in consideration of resource categories in collaborative product development project. Advances in Mechanical Engineering. 2015; 7 (10):1.
Chicago/Turabian StyleYingzi Li; Shuo Zhang. 2015. "Static scheduling in consideration of resource categories in collaborative product development project." Advances in Mechanical Engineering 7, no. 10: 1.
Li Yingzi -; Li Caijuan -; Zhang Shuo -; Wang Aiping -. Study on Dynamic Resource Scheduling of Collaborative Product Development Process. International Journal of Advancements in Computing Technology 2012, 4, 671 -680.
AMA StyleLi Yingzi -, Li Caijuan -, Zhang Shuo -, Wang Aiping -. Study on Dynamic Resource Scheduling of Collaborative Product Development Process. International Journal of Advancements in Computing Technology. 2012; 4 (19):671-680.
Chicago/Turabian StyleLi Yingzi -; Li Caijuan -; Zhang Shuo -; Wang Aiping -. 2012. "Study on Dynamic Resource Scheduling of Collaborative Product Development Process." International Journal of Advancements in Computing Technology 4, no. 19: 671-680.