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Laminated bamboo is a bamboo species that has been successfully exported to the building market. The paper examines the carbon emission of a 3-layer plain-pressed LB board, as well as the manufacturing steps and carbon emission measurement boundary of LB. The processing bamboo strip strips leave the most carbon dioxide, followed by 1-layer boards and the 3-layer board. The study, in comparison to two previous case reports, indicates that lowering the carbon emission factor of electricity used in manufacturing is the greatest way to reduce total C value of LB.
Source link: https://doi.org/10.1007/978-981-19-4293-8_10
This chapter examines the effect of China's pilot emissions trading scheme policies on provincial industrial carbon dioxide emissions from 2008 to 2017 based on a provincial-industrial level panel dataset with the details of carbon dioxide emissions and socioeconomic variables from 2008 to 2017. Using the difference-in-difference tests and difference-in-difference-in-difference methods to examine the impact of China's pilot emissions trading scheme plans on provincial industrial carbon reductions from 2008 to 2017, this chapter uses the difference-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in-in- The pilot ETS created carbon dioxide reductions in the pilot industries in the pilot regions, according to the findings. Also, Beijing ETS' lowering effect is much higher than that of Guangdong ETS, although Guangdong ETS's is much smaller than the average.
Source link: https://doi.org/10.1007/978-981-19-5562-4_8
The impact of China's pilot carbon emission trading on urban carbon pollution was empirically examined by this chapter. The pilot carbon reduction programs have reduced urban carbon pollution of cities covered by the initiative, according to the results. Overall, China's pilot carbon emission trading has played a positive role in encouraging the country's carbon stabilization in 2019.
Source link: https://doi.org/10.1007/978-981-19-5562-4_7
Since it reveals the connection between carbon reductions and economic growth, carbon reductions can be a key indicator to determine the efficiency of emissions trading schemes, it should be a key indicator to determine the effectiveness of the emissions trading system. This chapter is based on a quasi-natural experiment in which the effects of China's pilot ETS on industrial carbon productivity are empirically investigated. Moreover, the promotion of Beijing ETS is considerably greater than the average, although Chongqing ETS's is significantly smaller than the average level. In general, China's pilot ETS has contributed to the country's industrial carbon productivity rise.
Source link: https://doi.org/10.1007/978-981-19-5562-4_9
u201d buildings in the twentieth century are considered 'u201c buildings' in this context. The 100 kV substation in Jiangsu Province was chosen as a case study to quantitatively assess the benefits of energy conservation and emission reduction of steel substations. We calculated the emission volume of greenhouse gases generated by the steel and concrete substations based on the complete life cycle theory and the calculation method of building life-cycle carbon capture.
Source link: https://doi.org/10.1007/978-981-19-5783-3_3
The European Union pioneered an emissions trading scheme that monitors emissions in government-selected industries and has proven to be fruitful, combating global warming. Nevertheless, most existing ETSs only cover the operation phase of a typical project, while the materialization phase is rarely considered. Both construction work and product of concrete material are involved in the materialization process. Currently, there are no tools to monitor carbon pollution during the manufacturing process of building materials. This paper outlines the development of a carbon emission testing system for wood products such as glulam. The latest version is also supported by the distributed ledger, which is highly compatible with future ETSs under Industry 4. 0 framework. The system helps construction material manufacturers evaluate, upload, and share data in a distributed manner. When producing building constructional materials, Carbon emissions and materials properties were simultaneously updated.
Source link: https://doi.org/10.1007/978-981-19-5217-3_36
Carbon emissions of passive buildings in cold regions and traditional building models based on the example of passive building in the same geographical areas were calculated and analyzed in the building's production section and operation section. The bulk of carbon dioxide emissions in passive buildings occur in the entire life cycle of passive buildings, according to this research, passive buildings in passive buildings' production section and operation section of building materials exhibit the greatest percentage of carbon emission reductions in the entire life cycle of passive buildings. According to the study, passive buildings have low carbon values compared to traditional buildings in the entire life cycle.
Source link: https://doi.org/10.1007/978-981-19-5217-3_20
Carbon dioxide rises in various industries are believed to account for the rise in carbon dioxide pollution. CO2 is thought to be the most common greenhouse gas in global warming, according to researchers. In this research, we focus on elucidating the negative aspects of Artificial Intelligence's climate change-related behaviours. Calculations of carbon dioxide use have become a necessity to reduce the use of resources and raise public knowledge of the impacts of global warming. In addition, the paper discusses the use of a real-time carbon emission calculator used to determine personal computer emissions.
Source link: https://doi.org/10.1007/978-981-19-2600-6_46
By completing a city-level carbon emissions conversion analysis, this chapter explores the spatiotemporal dynamics of China's carbon emissions. In CEE, the distribution dynamics model is then used to investigate the club convergence. In addition, the city CEE's club fusion is discussed from a geographical spillover perspective. According to the empirical findings, cities in northwestern provinces have considerably lower CEE than those in the coastal provinces. In addition, cities with high-level CEE are expected to positively influence their neighbors, while others with low-level CEE have a negative effect.
Source link: https://doi.org/10.1007/978-981-19-5562-4_2
The main aim of this chapter is to investigate the impact of various aspects of a vehicle on CO2 emissions and design a machine learning system that can accurately predict CO2 emissions by any vehicle. CO_2 emissions will rise as the fuel consumption on the highway and in the city increases or the vehicle size increases. On the other hand, a feature like COMB, essentially the car's economy, can be inversely proportional to CO_2 emissions, i. e. , higher the economy, lower the CO_2 emissions. The two leading models, the random forest regressor and XGBoost regressor, can help forecast the carbon emissions of any type of vehicle that runs on fossil fuels.
Source link: https://doi.org/10.1007/978-981-19-5244-9_10
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