FEEM: Mitigation最新文献

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Willingness to Pay for Solar Panels and Smart Grids 愿意为太阳能电池板和智能电网买单

FEEM: Mitigation Pub Date : 2017-06-08 DOI: 10.2139/ssrn.2983006

Tunç Durmaz, A. Pommeret, I. Ridley

{"title":"Willingness to Pay for Solar Panels and Smart Grids","authors":"Tunç Durmaz, A. Pommeret, I. Ridley","doi":"10.2139/ssrn.2983006","DOIUrl":"https://doi.org/10.2139/ssrn.2983006","url":null,"abstract":"It is expected that the renewable share of energy generation will rise considerably in the near future. The intermittent and uncertain nature of renewable energy (RE) calls for storage and grid management technologies that can allow for increased power system flexibility. To assist policy makers in designing public policies that incentivize RE generation and a flexible power system based on energy storage and demandside management, better knowledge as to the willingness to pay for the corresponding devices is required. In this paper, we appraise the willingness of a household (HH) to pay for a 1.9 kW peak photovoltaic (PV) system and smart grid devices, namely, a smart meter and a home storage battery. Results indicate that having access to a storage device is key for the HH decision to install a smart meter. We also find that it is beneficial for the HH to install the PV system regardless of the pricing scheme and the ownership of the battery pack. It is, nevertheless, barely desirable to install the battery pack regardless of the presence of the PV system; an outcome pointing to the fact that the high cost of storage is a drawback for the wider use of these systems. When storage is constrained in such a way that only the generated power can be stored, the willingness to install the battery pack reduces even further. The investment decisions made when legislation prohibits net-metering are also analyzed.","PeriodicalId":435947,"journal":{"name":"FEEM: Mitigation","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122628583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 25

What Factors Affect the Competiveness of Power Generation Sector in China? An Analysis Based on Game Cross-Efficiency 影响中国发电行业竞争力的因素是什么?基于博弈交叉效率的分析

FEEM: Mitigation Pub Date : 2017-02-01 DOI: 10.2139/ssrn.2945337

Bai-Chen Xie, Jie Gao, Shuangying Zhang, Zhongxiang Zhang

{"title":"What Factors Affect the Competiveness of Power Generation Sector in China? An Analysis Based on Game Cross-Efficiency","authors":"Bai-Chen Xie, Jie Gao, Shuangying Zhang, Zhongxiang Zhang","doi":"10.2139/ssrn.2945337","DOIUrl":"https://doi.org/10.2139/ssrn.2945337","url":null,"abstract":"China’s unbundling reform in 2002 aimed to introduce competitiveness into the power industry, especially the generation sector, to improve its operational efficiency. Meanwhile, great concern about a range of environmental problems and global climate change increasingly calls for saving energy and abating emissions. Thus, the ability to balance the reduction of carbon emissions with economic benefits may to a great extent determine the competitiveness of power generation sector. This study first adopts the game cross-efficiency approach to evaluate the environmental efficiency of the generation sectors in China’s 30 provinces. It then employs a system generalized method of moments model to explore the determinants of their performance while eliminating the associated endogeneity problem. The results of this first study combining the two methods indicate that efficiency gaps do exist among the regions even though overall efficiency has been improved. Despite the negative correlation between environmental efficiency and the thermal power ratio, the power mix should be adjusted gradually. The average firm size and capacity utilization rates are positive factors boosting the environmental efficiency. The incentive policies for clean energy development should be differentiated across regions according to their power mix and self-sufficiency ratio.","PeriodicalId":435947,"journal":{"name":"FEEM: Mitigation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130662005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 16

Spatial Heat Transport, Polar Amplification and Climate Change Policy 空间热输运、极性放大与气候变化政策

FEEM: Mitigation Pub Date : 2016-01-02 DOI: 10.2139/ssrn.2740994

W. Brock, A. Xepapadeas

引用次数: 7