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Discussing the diversity of energy consumption structure will provide an interesting new way of thinking for carbon emission reduction. As a large province of energy supply, Shaanxi’s energy consumption structure has attracted much attention, what impact does it have on local energy efficiency and carbon emissions? In this paper, the diversity calculation method will be used to calculate the energy consumption structure of Shaanxi, China, and establish a regression model between the energy consumption structure, energy efficiency and carbon emissions, and discuss the relationship between them. Lian-de LI, Qing WANG, Hao LIU. Research of primary energy supply diversity in China. China Mining Magazine. 2007;16(12):1–4+11. Patterson, M. Complexity and Evolution; Cambridge University Press: Cambridge, UK, 1996. [ Google Scholar] In discussions of the nature and behavior of forces at the microscopic level we often find references to the way they ‘feel’ ( Feynman, 1963 ), or the way they ‘experience’ each other in fields ( Rennie, 2015 ). It would be interesting to investigate what motivates the use of such terms in this context.

Among them, H represents the energy consumption structure diversity, N represents the number of energy types in the primary energy consumption structure, and P i represents the proportion of the energy consumption in the primary energy consumption structure, which essentially reflects the weighted geometric mean of the proportion of each energy consumption in the primary energy consumption structure. The value range of H is greater than or equal to 0, if there is only one energy source in the primary energy consumption structure, then P i equal to 1, then the value of H is equal to 0. If the energy types in the primary energy consumption structure increases, the value of H also increases accordingly. The value of H is related to the type of energy consumption and the proportion of each energy consumption. If the number of energy types is given, when the value of H increase, it means that the consumption of various energy sources tends to be equal in the primary energy consumption and the types of energy consumption are more. And when the value of H value decreases, it means that the primary energy consumption mainly depends on one or several energy sources, the proportion of consumption of different energy sources may be expanding. In addition to producing hydrogen-rich syngas, forest biomass can also be used to produce biogas through anaerobic digestion ( Tabatabaei et al., 2020a). The technology of converting forest biomass into CH 4 is relatively mature and has been used for practical production for many years ( González et al., 2006; Tabatabaei et al., 2020b). The production of biogas, whose main components are CH 4 and CO 2, is largely affected by the composition of raw materials ( Dehhaghi et al., 2019). It should be noted that in addition to species, the composition of forest biomass could also be affected by variations in geographical location and growth environment. Despite the enormous amount of interest in the physics of energy and its central importance in so many branches of science, its nature remains in many ways mysterious ( Feynman, 1963; Smil, 2008; Coopersmith, 2010) and it has been the subject of relatively little philosophical interrogation ( Coelho, 2009). Treating energy as an abstract accounting quantity is perfectly satisfactory for many scientific purposes, where there is little reason to question its nature. But if energetic activity plays a significant role in consciousness, as the evidence cited above suggests it might, then its nature deserves closer scrutiny.

Conclusion

It is proposed that a particular kind of activity occurs in human brains that causes our conscious experience. It is a certain dynamic organization of energetic processes having a high degree of differentiation and integration. This organization is recursively self-referential and results in a pattern of energetic activity that blossoms to a degree of complexity sufficient for consciousness. Lian-de LI, Qing WANG, Hao LIU, Yang SONG. Calculation and Analysis of Diversity of Domestic Primary Energy Supply. Journal of Northeastern University(Natural Science). 2008;29(4):577–580.

i)The energy consumption structure diversity in Shaanxi is lower than the national average. Shaanxi’s energy consumption structure diversity index and equilibrium index generally show a slow upward trend. In most years, the Shaanxi energy consumption structure diversity index is higher than 0.8, and the equilibrium index is higher than 0.6, but lower than the national energy consumption structure diversity index and equilibrium index in the same period. According to the change of the diversity index, it can be roughly divided into three stages. The first stage is from 2000 to 2005, in this stage, Shaanxi energy consumption structure diversity index and equilibrium index show a fluctuating decrease, and Shaanxi energy consumption structure diverse index dropped from 0.7751 in 2000 to 0.7519 in 2005, and the equilibrium index dropped from 0.5591 in 2000 to 0.5424 in 2005, indicating that Shaanxi’s energy consumption is overly dependent on coal resources at this stage, and the gap of various energy consumption within the energy system is widening. The second stage is from 2006 to 2012, both the Shaanxi energy consumption structure diversity index and equilibrium index have shown a rapid upward trend in this stage. The Shaanxi energy consumption structure diversity index increased from 0.766 in 2006 to 0.8257 in 2012. The equilibrium index increased from 0.5525 in 2006 to 0.5956 in 2012, indicating that the optimization of energy consumption in Shaanxi continues to improve at this stage, and the consumption of natural gas, primary electricity and other energy is expanding. The third stage is from 2013 to 2021, Shaanxi energy consumption structure diversity index and equilibrium index are basically stable in this stage, and the diversity index and equilibrium index are maintained at around 0.8 and 0.6 respectively, which reflects that the status quo of high proportion of coal in the energy consumption structure has not been changed, on the other hand, it also reflects that the types of energy sources in Shaanxi have not increased, and the main energy structure is basically stable. We now understand there to be two main forms of energy: kinetic and potential. Kinetic energy is possessed by objects due to their motion, while potential energy is possessed by objects due to their relative position or configuration. All other forms of energy, such as thermal, electromagnetic, solar, chemical, gravitational, atomic, and so on are in themselves forms of either kinetic or potential energy ( Duncan, 2002; Smil, 2008). Much can be said about kinetic and potential energy, including the fact that they are causally efficacious, that is, they cause real change and activity in the material world 7. But I want to draw attention here to the fact that they are both manifestations of difference. Kinetic energy is difference as motion or change; potential energy is difference as tension or antagonism. Neither kinetic nor potential energy inhere absolutely in objects but are relational properties; motion or change occurs relative to a frame of reference, and tension or antagonism occurs between one object, or force, and another. The concept of difference then is of utmost importance when considering the nature of energy and the related properties of force and work 8. Actualized Difference Hongyun Han, Radwan Amira. Economic and social structure and electricity consumption in Egypt. Energy. 2021;231:120962. iv)The energy consumption structure diversity in Shaanxi is negatively correlated with energy efficiency. Shaanxi H index is negatively correlated with total factor energy utilization efficiency in Shaanxi, and for every 1% increase in Shaanxi H index, total factor energy utilization efficiency decreases by 0.044%, indicating that with the improvement of the energy consumption structure diversity in Shaanxi, total factor energy utilization efficiency declines. The internal proportion of the energy consumption structure has constantly optimized with more and more investment, which leads to decline in total factor energy efficiency. Therefore, it is necessary to pay attention to the improvement of total factor energy utilization efficiency while improving the energy consumption structure, so as to promote the GDP. The proportion of coal is negatively correlated with total factor energy utilization efficiency in Shaanxi, and for every 1% increase in coal proportion, total factor energy utilization efficiency decreases by 0.133%, indicating that with the increase in the proportion of coal consumption in total energy consumption in Shaanxi, total factor energy Utilization efficiency declines. High proportion of coal consumption will affect the improvement of total factor energy utilization efficiency. Therefore, it is necessary to improve total factor energy utilization efficiency and gradually reduce the proportion of coal consumption.

Abstract

Nagel clarified the term ‘something it is like’ as meaning not what something resembles but ‘how it is’ for the system ( Nagel, 1974 ). Zheng Yuhua, Luo Dongkun. Industrial structure and oil consumption growth path of China: Empirical evidence. Energy. 2013;57:336–343.

It should be noted that forest biomass, due to the presence of bark and juvenile wood, tends to have higher lignin contents ( Zhu et al., 2015). As a result, forest biomass is more recalcitrant to bioconversion into sugars than other biomass types such as agricultural residues ( Yamamoto et al., 2014). Although there are pretreatment processes to overcome such a high level of recalcitrance for efficient sugar/biofuel production, they are more time-consuming and costlier. One of these methods is steam explosion treatment which has been reported to increase bioethanol production of Hemp fiber by upto 70% ( Zhao et al., 2020). It has also been claimed that the application of surfactants, owing to their unique structure and functional properties, could improve the solubility, fluidity, bioavailability, and biodegradability of forest biomass, thereby increasing the production of bioethanol. Zheng et al. (2020) argued that tween, polyethylene glycol (PEG), and sulfonate-based surfactants could increase the conversion rate of lignocellulose by 10–20%.Is it reasonable then to propose that consciousness is caused by the way energetic activity is dynamically and recursively organized in the brain? It is no less reasonable than attributing the causes of other biological phenomena, such as the behavior of the nematode worm, to the way energetic activity is organized. If consciousness is a physical (biological and chemical) process, and if physical processes are caused by energetic activity (alongside forces and work), then consciousness, in principle, could be caused by energetic activity and the way it is organized. Naturalizing Consciousness

Feng Taiwen, Sun Linyan, Zhang Ying. The relationship between energy consumption structure, economic structure and energy intensity in China. Energy Policy. 2009;37(12):5475–5483.The authors of Wollstadt et al. (2017) , for example, studied the breakdown of local information processing under anesthesia using information theoretic methods. They point out that the EEG procedure they used did not directly record information processing in the brain but local field potentials, that is, fluctuations in quantities of potential energy. Yuan Baolong, Ren Shenggang, Chen Xiaohong. The effects of urbanization, consumption ratio and consumption structure on residential indirect CO2 emissions in China: A regional comparative analysis. Applied Energy. 2015;140:94–106.