ORCID Profile
0000-0002-8883-2770
Current Organisation
Guizhou University
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Publisher: Elsevier BV
Date: 2023
Publisher: MDPI AG
Date: 17-06-2022
DOI: 10.3390/EN15124423
Abstract: As a vital market mechanism to mitigate global warming, the emissions trading system (ETS) has critical research and practice value. According to articles from Web of Science’s core collection, quantitative statistics are used to analyze the ETS, including statistics on the number of articles, distributions of time and geography, journals and subjects, productive authors and institutions, academic collation, article citations, and hot topics. Moreover, this paper presents a qualitative analysis of research on the ETS, exploring hot issues, including its origin, allowance allocation, the impact of allowance allocation, and the ETS in the power sector. The results show that it is necessary to launch ETS to mitigate climate change effectively and reduce emissions at a low cost. Allowance allocation as its critical component has also caused heated discussion among scholars. In allowance allocation, exploring a desire to assign the future allowable carbon emissions reasonably and efficiently is vital, yet scholars widely do not accept this. Moreover, free allocation can only be applied to the transitional stage, and auctioning will be inevitable. In addition, scholars have studied the impact of different allowance allocation schemes from macro and micro perspectives and take the power sector, namely the largest emitter, as an ex le, by linear programming, equilibrium modeling, and multi-agent modeling. However, the quota allocation scheme needs improvement due to firms’ accuracy of emission data. Finally, governments are encouraged to launch the ETS to reduce emissions and combat climate change. The ETS should be improved gradually, including aspects such as cap setting, covering sectors, and the allocation method. Additionally, some key emission sectors and regions can be taken as the research and practice objects in the initial stage of the ETS.
Publisher: MDPI AG
Date: 31-01-2022
DOI: 10.3390/EN15031060
Abstract: The power gap between supply and demand in the microgrid caused by the uncertainty of wind and solar output and users’ electricity consumption needs to be absorbed by the hybrid energy storage devices and the demand-side electricity price response. To maximize the service life of the lithium battery pack, this paper optimizes a reasonable ratio of the supercapacitor pack’s daily charge and discharge times to the daily cycle times of the lithium battery pack. The model construction includes two parts: power prediction and multi-objective optimization modeling. In the case study, a microgrid district under the Guizhou Power Grid is analyzed and discussed. Based on the predicted wind output, solar output, and load demand on a certain day, the optimal scheduling results have been obtained. On the one hand, a reasonable ratio regarding the daily charge and discharge times of hybrid energy storage devices has been obtained under the optimized parameter k in the model. Correspondingly, the daily operation and maintenance of the lithium battery pack is minimum. On the other hand, when the hybrid energy storage devices and demand-side electricity price response are included and not, the changes on the supply and demand sides (a) and of three evaluation indicators (b) are compared, respectively. Thus, the effectiveness of the model in this paper is verified.
Publisher: Elsevier BV
Date: 06-2023
Publisher: Elsevier BV
Date: 04-2023
Publisher: Elsevier BV
Date: 12-2022
Publisher: Elsevier BV
Date: 11-2022
No related grants have been discovered for Yu-Jie Hu.