Game theory approach to optimal capital cost allocation in pollution control

This paper tries to integrate game theory, a very useful tool to resolve conflict phenomena, with optimal capital cost allocation issue in total emission control. First the necessity of allocating optimal capital costs fairly and reasonably among polluters in total emission control was analyzed. Then the possibility of applying game theory to the issue of the optimal capital cost allocation was expounded. Next the cooperative N person game model of the optimal capital cost allocation and its solution ways including method based on Shapley value, least core method, weak least core methods, proportional least core method, CGA method, MCRS method and so on were delineated. Finally through application of these methods it was concluded that to apply game theory in the optimal capital cost allocation issue is helpful to implement the total emission control planning schemes successfully, to control pollution effectively, and to ensure sustainable development.

Optimal Operation of Micro-energy Grids Considering Shared Energy Storage Systems and Balanced Profit Allocations

Following the unprecedented generation of renewable energy,Energy Storage Systems(ESSs)have become essential for facilitating renewable consumption and maintaining reliability in energy networks.However,providing an individual ESS to a single customer is still a luxury.Thus,this paper aims to investigate whether the Shared-ESS can assist energy savings for multiple users through Peer-to-Peer(P2P)trading.Moreover,with the increasing number of market participants in the integrated energy system(IES),a benefit allocation scheme is necessary,ensuring reasonable benefits for every user in the network.Using the multiplayer cooperative game model,the nucleolus and the Shapley value methods are adopted to evaluate the benefit allocation between multiple users.Numerical analyses based on multiple micro-energy grids are performed,so as to assess the performance of the Shared-ESS and the proposed benefit allocation scheme.The results show that the micro-energy grid cluster can save as much as 38.15%of the total energy cost with Shared-ESS being equipped.The following conclusions can be drawn:the Shared-ESS can significantly reduce the operating costs of the micro-energy grid operator,promote the consumption of renewable energy,and play the role of peak-shaving and valley-filling during different energy usage periods.In addition,it is reflected that the multiplayer cooperative game model is effective in revealing the interaction between the micro-energy grids,which makes the distribution results more reasonable.

Public Bicycle Operating System Based on Space-Time Security and the Internet of Things

The bad behaviors of some users and the drawbacks of public bicycles have hindered the promotion of public bicycles. The current problems include low utilization rate, uneven distribution, high loss rate and insecure lock. However, there is few feasible research in this new field. To address these issues of public bicycles, we propose a public bicycle operating system（PBOS）. PBOS involves three key technologies： 1） To acquire a dynamic password and realize bicycle self-rescue, we devise an intelligent lock that utilizes the Internet of Things（IoT） to establish Bluetooth connection with user＇s mobile phone. 2） To avoid bicycle loss and improve the security of data transmission, we design a space-time security protocol to work between bicycle＇s intelligent lock, mobile app, and server. 3） To increase the average utilization rate and distribution, we present a cooperative game model for bicycle scheduling. Finally, we evaluate the performance and validate the theoretical properties of PBOS through extensive simulations.

Optimal Treatment Cost Allocation Methods in Pollution Control

Totalemission controlis an effective pollution controlstrategy.However, Chinese application oftotal emission controllacks reasonable and fair methodsfor optimaltreatment cost allocation,a criticalissue in total emission control.This paper considersfour approachesto allocate treatmentcosts.Thefirstapproachisto setup a multiple objective planning model and to solve the model using the shortest distance ideal point method. The second approachisto define degree ofsatisfaction for cost allocation resultsfor each polluter and to establish a method based onthisconcept.Thethirdisto apply bargaining and arbitrationtheoryto develop a model.Thefourth isto establish a cooperative N person game model which can be solved usingthe Shapley value method,the core method,the Cost Gap Allocation method orthe Minimum Costs Remaining Savings method.These approaches are compared using a practicable case study.