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To improve the utilization rate of clean energy, reduce carbon emissions, and alleviate the global energy crisis and greenhouse effect, a low-carbon economic dispatch model of multi-energy park considering high proportion of new energy consumption is proposed. First, after introducing the gas storage and heat storage equipment to the park, the potential of energy coupled devices is further tapped, and the impact of electric vehicle charging mode is explored. Then, based on the stepwise price curve, a price-based integrated thermo-electric demand response model is established. Moreover, considering the low-carbon operation of the integrated energy system, a carbon capture and storage equipment model is built. Furthermore, a mixed integer linear programming model for low-carbon economic dispatch before the day of the multi-energy park is proposed. The example analysis shows that the proposed model can improve the energy utilization rate and the scheduling flexibility of the park, effectively reduce the carbon emissions of the park, increase the income of the park, and promote the consumption of high proportion of new energy.

Silicon carbide (SiC) ceramics prepared by the conventional process has excellent properties and wide application prospects, but the increased cost of high-temperature preparation process restricts its further development. In contrast, the abundant porous structure of biomass makes itself to be ideal replacement of SiC ceramic prepared at low temperature. This paper reviewed the structure characteristics, preparation methods, pyrolysis mechanism and influence parameters of biomass-based SiC ceramic, and eventually explored the current problems and development trends of the pretreatment of carbon source and silicon source, the pyrolysis process and the application research on the preparation for biomass-based SiC ceramic.

歐盟在 2003 年5 月8 日通過「歐盟促進使用生質燃料或其他可再生燃料於交通運輸工具之指令2003/30/EC」（以下簡稱「歐盟生質燃料指令2003/30/EC」）。依據該歐盟生質燃料指令第4 條第2 項之規定，歐盟執行委員會至遲應在2006 年12 月31 日之前，且之後每兩年，定期向歐洲議會及歐盟理事會，提出歐盟會員國有關生質燃料及其他可再生燃料使用之進展評估報告。據此規定，在2007 年1 月10 日，歐盟執委會提出歐盟生質燃料指令的執行情形與成效評估之第一份報告書。除此之外，「歐盟執委會下屬之能源暨運輸總署（Energy and Transport Directorate-General, European Commission）」在2006 年4 月至7 月期間，積極進行廣泛的公共諮詢活動，以收集對於生質燃料相關不同議題之各方意見。據以上述諸多資料以作吾人撰寫本論文之重要參考文獻，且期許本論文之研究成果可作為我國推動綠色能源政策或擬訂法制措施時之建言與回應。 European Union has passed directive 2003/30/EC which is concerning the promotion of the use of biofuels or other renewable fuels for transport on 8 May 2003 (abbreviate as “Biofuel Directive 2003/30/EC of European Union”). According to Article 4(2) of this directive, European Commission shall draw up an evaluation report for the European Parliament and for the Council on the progress made in the use of biofuels and other renewable fuels in the Member States by 31 December 2006 at the latest, and every two years thereafter. On the basis of this regulation, European Commission hands in the first report of execution situation and effect evaluation of Biofuel Directive 2003/30/EC of European Union. Besides, Energy and Transport Directorate-General, European Commission has positively proceeded wide public inquiry activities in order to gather the opinions of different topics about biofuels between April and July 2006. These materials above will be the important references in this paper. And also expect the research results of this paper to be able to be suggestions and responses of green energy promoting policy and legal measures in our country.

As the melting of Arctic Sea ice because of global warming creates new shipping routes and energy resources, the post-Cold War peace and stability of the Arctic has been shattered. It has once again become a strategic location for multinational rivalries, attracting widespread attention in international geopolitical circles. Compared to other regions of the world, studying the Arctic region from a Western geopolitical perspective is at the forefront of international research. Although China, as a near-Arctic country, has developed geopolitical research on the Arctic in response to its practical needs, domestic research in this field started late, with room for improvement in its breadth and depth. Therefore, 98 papers in the Web of Science core database that are highly relevant to Arctic geopolitics are selected as the object of the study. Through a literature review, we summarize the development of Arctic research from a Western geopolitical perspective, and the shift in perspective and hot topics; we adopt a forward-looking perspective of future research development trends to provide reference for innovative research in this field in China. The results reveal the following: (1) Research on the geopolitics of the Arctic has been conducted in a wide range of fields and topics in Western academia, with some correlation among the topics, although the links among the studies are not strong, and the research scale generally shows a fluctuating growth trend. (2) The research content, composed of six major fields (boundary and territorial politics, Arctic shipping routes, Arctic resource development, Arctic geo-strategy, Arctic security and governance, and indigenous population issues), focus on politics and economics but is lack of cultural research. (3) Under the influence of aesthetic humanism and the "cultural and institutional turn," the trend in the cross-fertilization of geopolitical, geo-economic, and geo-cultural perspectives has increasingly become more obvious. (4) Research on the Arctic from a geopolitical perspective has been relatively fruitful, although there remain shortcomings in the depth of theoretical research, breadth of research scale, diversity of research methods, and geo-economic and geo-cultural research paradigms, which require further development. Future research will generate new ideas and directions in immaterial areas such as theoretical framework studies, interdisciplinary studies, and emotional culture, and will focus more on the role of multiple actors, such as indigenous peoples and NGOs, in geopolitical knowledge production and power competition.

Subtropical forests are the largest forest type in China, and play an important role in regulating global climate change and maintaining atmospheric carbon balance. The carbon emitted by soil through respiration is the main source of atmospheric CO2, so slight changes in soil carbon pool will also significantly affect the concentration of atmospheric CO2. Therefore, at present, the size and dynamic change characteristics of soil carbon storage in subtropical forests are widely concern.In this study, soil respiration was estimated of subtropical evergreen broad-leaved forest ecosystem at Ailao Mountain by using a multichannel automated chamber system for soil respiration measurement method. Ailao Mountain Station for Subtropical Forest Ecosystem Studies is a national field station and a basic observation station of the Chinese Ecosystem Research Network. We collected soil respiration data of subtropical evergreen broad-leaved forest in Ailao Mountain from 2010 to 2014 based on a multichannel automated chamber system for soil respiration measurement platform. Including soil temperature 5cm (TS), soil moisture content 10cm (SWC) and soil respiration data (RS), divided into three types of daily, monthly and annual scale files. This dataset is of great significance for revealing the effects of climate change on soil ecological processes in subtropical evergreen broad-leaved forests, correctly assessing soil organic carbon emissions and forest ecosystem management, and provides empirical and theoretical basis for further research on the effects of global changes such as climate warming on soil respiration components, especially soil organic carbon emissions.  Subtropical forests are the largest forest type in China, and play an important role in regulating global climate change and maintaining atmospheric carbon balance. The carbon emitted by soil through respiration is the main source of atmospheric CO2, so slight changes in soil carbon pool will also significantly affect the concentration of atmospheric CO2. Therefore, at present, the size and dynamic change characteristics of soil carbon storage in subtropical forests are widely concern.In this study, soil respiration was estimated of subtropical evergreen broad-leaved forest ecosystem at Ailao Mountain by using a multichannel automated chamber system for soil respiration measurement method. Ailao Mountain Station for Subtropical Forest Ecosystem Studies is a national field station and a basic observation station of the Chinese Ecosystem Research Network. We collected soil respiration data of subtropical evergreen broad-leaved forest in Ailao Mountain from 2010 to 2014 based on a multichannel automated chamber system for soil respiration measurement platform. Including soil temperature 5cm (TS), soil moisture content 10cm (SWC) and soil respiration data (RS), divided into three types of daily, monthly and annual scale files. This dataset is of great significance for revealing the effects of climate change on soil ecological processes in subtropical evergreen broad-leaved forests, correctly assessing soil organic carbon emissions and forest ecosystem management, and provides empirical and theoretical basis for further research on the effects of global changes such as climate warming on soil respiration components, especially soil organic carbon emissions. 

Vegetation phenology is one of the sensitive indicators reflecting global climate change and vegetation growth. Inner Mongolia is an important ecological security barrier in the north of China, and a key area for resource development, environmental protection and ecological security in China. Studying its vegetation phenological changes can know its vegetation growth status, which is of great significance for understanding the characteristics of climate change and extreme climate events in the region. Based on the normalized differential vegetation index (NDVI) data product in MOD13Q1 product, this study use Google Earth Engine platform to process MODIS-NDVI raw data for format conversion, projection conversion and clipping, and exports NDVI long time series data from 2000 to 2021, and dynamic threshold method was used to obtain Inner Mongolia vegetation phenology data set from 2001 to 2020. The dataset includes remote sensing monitoring data of the start of growing season (SOS), the end of growing season (EOS), and the length of growing season (LOS) in Inner Mongolia from 2001 to 2019. And the spatial resolution is 250 m. It provides data support for understanding the temporal and spatial variation of vegetation phenology in Inner Mongolia and its response to climate change.  Vegetation phenology is one of the sensitive indicators reflecting global climate change and vegetation growth. Inner Mongolia is an important ecological security barrier in the north of China, and a key area for resource development, environmental protection and ecological security in China. Studying its vegetation phenological changes can know its vegetation growth status, which is of great significance for understanding the characteristics of climate change and extreme climate events in the region. Based on the normalized differential vegetation index (NDVI) data product in MOD13Q1 product, this study use Google Earth Engine platform to process MODIS-NDVI raw data for format conversion, projection conversion and clipping, and exports NDVI long time series data from 2000 to 2021, and dynamic threshold method was used to obtain Inner Mongolia vegetation phenology data set from 2001 to 2020. The dataset includes remote sensing monitoring data of the start of growing season (SOS), the end of growing season (EOS), and the length of growing season (LOS) in Inner Mongolia from 2001 to 2019. And the spatial resolution is 250 m. It provides data support for understanding the temporal and spatial variation of vegetation phenology in Inner Mongolia and its response to climate change. 

Grassland is an important terrestrial ecosystem for the exchange of mass and energy between land and atmosphere, playing an important role in global carbon cycle. However, the direction and size of its carbon sink are still in dispute. The eddy covariance technique can be sued to continuously determine ecosystem-level carbon, water and energy exchanges between vegetation and atmosphere. The long-term observations of carbon and water fluxes can help quantify the carbon sequestration capability of grassland ecosystems and its response to climate change. This dataset consists of two half-hourly data files, including the carbon, water and heat fluxes data file and the meteorological variables data file. All of the flux data were processed according to the flux data processing procedure specified by ChinaFLUX. The observational quality of this dataset is good, with a complete data observation integrity of over 95% throughout the year and a high energy balance ratio (1.04 ± 0.07). This decadal flux dataset from 2006 to 2015 provides a high-quality and continuous long-term eddy flux observation data valuable for the research of diurnal dynamics, seasonal and interannual variations of carbon and water fluxes, which is significant for evaluating the role of China’s temperate typical grasslands in regional and global carbon and water cycles. Grassland is an important terrestrial ecosystem for the exchange of mass and energy between land and atmosphere, playing an important role in global carbon cycle. However, the direction and size of its carbon sink are still in dispute. The eddy covariance technique can be sued to continuously determine ecosystem-level carbon, water and energy exchanges between vegetation and atmosphere. The long-term observations of carbon and water fluxes can help quantify the carbon sequestration capability of grassland ecosystems and its response to climate change. This dataset consists of two half-hourly data files, including the carbon, water and heat fluxes data file and the meteorological variables data file. All of the flux data were processed according to the flux data processing procedure specified by ChinaFLUX. The observational quality of this dataset is good, with a complete data observation integrity of over 95% throughout the year and a high energy balance ratio (1.04 ± 0.07). This decadal flux dataset from 2006 to 2015 provides a high-quality and continuous long-term eddy flux observation data valuable for the research of diurnal dynamics, seasonal and interannual variations of carbon and water fluxes, which is significant for evaluating the role of China’s temperate typical grasslands in regional and global carbon and water cycles.

As the basic data for the research of climate change, Meteorological data provide basic data support for global climate change and extreme weather events. Alpine Ecosystem Observation and Experiment Station of Gongga Mountain, Chinese Academic of Sciences, is one of the observation stations of Chinese Ecosystem Research Network (CERN) and National Ecosystem Research Network of China (CNERN). Located in southeast edge of the Qinghai-Tibet Plateau, Mt. Gongga is one of the most sensitive areas to global warming. It is a typical and representative alpine ecosystem. Pursuant to the protocols for standard meteorological observation and measurement of CERN, the station has been carrying out long-term meteorological monitoring practice. After data processing, quality control and evaluation, we reported in this dataset the 19 meteorological elements, including 120 indices (301 KB) selected from primary data collected from the automatic meteorological system during 1998–2018. This dataset is aimed to provide background data for the study of the response of alpine ecosystems to global change. As the basic data for the research of climate change, Meteorological data provide basic data support for global climate change and extreme weather events. Alpine Ecosystem Observation and Experiment Station of Gongga Mountain, Chinese Academic of Sciences, is one of the observation stations of Chinese Ecosystem Research Network (CERN) and National Ecosystem Research Network of China (CNERN). Located in southeast edge of the Qinghai-Tibet Plateau, Mt. Gongga is one of the most sensitive areas to global warming. It is a typical and representative alpine ecosystem. Pursuant to the protocols for standard meteorological observation and measurement of CERN, the station has been carrying out long-term meteorological monitoring practice. After data processing, quality control and evaluation, we reported in this dataset the 19 meteorological elements, including 120 indices (301 KB) selected from primary data collected from the automatic meteorological system during 1998–2018. This dataset is aimed to provide background data for the study of the response of alpine ecosystems to global change.

CERN plant phenological observation data sets is the plant phenological observation data integration of CERN ecological station, which contains 22 CERN ecological station phenological observation datas, more than 660 species of 2003-2015. As the difference of phenological stages between woody and herbaceous plants, the subset data set is divided into subsets of Woody and herbaceous. Woody plant subset mainly record the leaf bud breaking phase, leaf unfolding phase, first bloom phase, full flowering phase, fruit or seed ripened phase, leaf turning to autumn color phase and leaf falling phase. Herbaceous plant subset records the germination or turning green phase, flowering phase, fruit or seed ripened phase, seed dispersal phase, autumn wilting phase. In addition, the data set also contains the ecological station code, year, plot code, plot name, plot type, species name, Latin name, and so on. The data set could provide data support for climate change, carbon cycle, plant response to environmental change, etc. CERN plant phenological observation data sets is the plant phenological observation data integration of CERN ecological station, which contains 22 CERN ecological station phenological observation datas, more than 660 species of 2003-2015. As the difference of phenological stages between woody and herbaceous plants, the subset data set is divided into subsets of Woody and herbaceous. Woody plant subset mainly record the leaf bud breaking phase, leaf unfolding phase, first bloom phase, full flowering phase, fruit or seed ripened phase, leaf turning to autumn color phase and leaf falling phase. Herbaceous plant subset records the germination or turning green phase, flowering phase, fruit or seed ripened phase, seed dispersal phase, autumn wilting phase. In addition, the data set also contains the ecological station code, year, plot code, plot name, plot type, species name, Latin name, and so on. The data set could provide data support for climate change, carbon cycle, plant response to environmental change, etc.

This data set covers the CO2 flux monitoring station of Haibei Station from 2002 to 2020 in early May, Early or late June to September and mid-October each year. 12 periods of biomass monitoring data of alpine shrub meadow were collected as EXCEL files. The biomass monitoring data of shrub were aboveground (green grass, dead grass, debris) and underground (0-10cm, 10-20cm, 20-40cm). The data is retained to two decimal places in g/m2. For lack of test data in the "empty", or due to causes such as the sample lost data measurement, data set corresponding cell expressed as a blank. This data set covers the CO2 flux monitoring station of Haibei Station from 2002 to 2020 in early May, Early or late June to September and mid-October each year. 12 periods of biomass monitoring data of alpine shrub meadow were collected as EXCEL files. The biomass monitoring data of shrub were aboveground (green grass, dead grass, debris) and underground (0-10cm, 10-20cm, 20-40cm). The data is retained to two decimal places in g/m2. For lack of test data in the "empty", or due to causes such as the sample lost data measurement, data set corresponding cell expressed as a blank.