Whispers of the Earth: Decolonizing Energy for a Just Energy Transformation

Analysis of the structure and function of urban energy metabolic systems is an important tool to facilitate compliance with China’s current energy-conservation policy. In this study, we used network throughflow analysis and network utility analysis to analyze the structure of an urban energy metabolic system and the complex relationships among its components. Using weight distributions in the network flow matrix, we determined the system structure; using the sign distribution in the network utility matrix, we determined the relationships between pairs of components. We then developed an ecological network model using Beijing in 1995, 2000, 2005, and 2007 as an example of how the model can be used to understand the system’s structure and function. The model’s components were the energy exploitation, transformation, consumption, and recovery sectors. Network throughflow analysis revealed that the energy transformation and consumption sectors had high weights (34–45%) in all 4 years, whereas the energy recovery sector had small weights (<5%) and the energy exploitation had low to intermediate weights (which decreased from 23% in 1995 to 11% in 2007). Network utility analysis revealed that the ecological relationships between the energy transformation and exploitation sectors, the energy consumption and transformation sectors, and the energy consumption and exploitation sectors did not change, but that the ecological relationships between the energy recovery sector and other sectors changed greatly. Our analysis of Beijing’s urban energy metabolic system provided guidance for optimizing the system’s structure and adjusting the relationships among the sectors.

Network relationship analysis of urban energy metabolic system

Researches on the relation of a loaded mechanical energy to the damaged banana maturation and its quality evolution has significance to its storage, but there are few researches at present. This paper studied on the effect of the loaded energy on banana to its internal maturation substance evolution and stored quality with time, including the change of maximum impact stress, re-enduring impact energy. The results showed there existed a significant correlation between energy transformation and increment of maturity substance in the damaged banana. Also, there existed a significant association between energy transformation and increment of maturity substance in the damaged banana in its storage time, and appeared a trends that the mechanical energy being transferred into fruit internal energy increased its maturity substance and decreased its stored quality, but individual maturity difference had less effect. Thus, decreasing the energy and the substance transformation in damage area are the important means of extending the physiology life of fruits, which is an urgent problem to be solved in their field of processing and storage at present.

The research on the damage banana quality with loaded mechanical energy has significance to its storage, but there are few researches at present. This paper investigated 3 indexes of the energy and substance transformation in the damage banana by loading, including the change of the respiration rate CO2, the maximum impact stress intensity of fruit re-enduring and the maximum mechanical energy etc. during the storage. The results showed that there existed a significant association between the energy conversion and quality characteristics for the damaged banana, and the energy transformation affected the individuals physiological and biochemical process. There presented a significant trend on the intensity of the loading mechanical energy against the quality characteristics on above 3 indexes during the storage, but the difference between the individual had little effects on it. Decreasing the energy and substance transformation in damage area are the important means of extending the physiology life of fruits, which is an urgent problem to be solved in their field of processing and storage at present.

The climate system envelops our planet, with swirling fluxes of mass, momentum, and energy through air, water, and land. Its processes are partly regular and partly chaotic. The regularity of diurnal and seasonal fluctuations in these processes is well understood. Recently, there has been significant progress in understanding some of the mechanisms that induce deviations from that regularity in many parts of the globe. These mechanisms include a set of combined oceanic–atmospheric phenomena with quasi-regular manifestations. The largest of these is centered in the Pacific Ocean and is known as the El Niño–Southern Oscillation. The term “oscillation” refers to a shifting pattern of atmospheric pressure gradients that has distinct manifestations in its alternating phases. In the Arctic and North Atlantic regions, the occurrence of somewhat analogous but less regular interactions known as the Arctic Oscillation and its offshoot, the North Atlantic Oscillation, are also being studied. These and other major oscillations influence climate patterns in many parts of the globe. Examples of other large-scale interactive ocean–atmosphere– land processes are the Pacific Decadal Oscillation, the Madden-Julian Oscillation, the Pacific/North American pattern, the Tropical Atlantic Variability, the West Pacific pattern, the Quasi-Biennial Oscillation, and the Indian Ocean Dipole. In this chapter we review the earth’s climate system in general, define climate variability, and describe the processes related to ENSO and the other major systems and their interactions. We then consider the possible connections of the major climate variability systems to anthropogenic global climate change. The climate system consists of a series of fluxes and transformations of energy (radiation, sensible and latent heat, and momentum), as well as transports and changes in the state of matter (air, water, solid matter, and biota) as conveyed and influenced by the atmosphere, the ocean, and the land masses. Acting like a giant engine, this dynamic system is driven by the infusion, transformation, and redistribution of energy.

Chapter 6 - Electrochemistry and the Processes of Energy Conversion in Plants

Influence of temperature on the transformation and self-control of energy during sandstone damage: Experimental and theoretical research

The definition of time formulated by Isaac Newton was created in the 17th century, so naturally it could not refer to thermodynamics, which significantly influences thinking about time. The essential content of the definition is the statement that time is absolute and flows uniformly independent of all events. This paper modifies this definition of time by pointing out that time is a manifestation of a thermodynamic process, it flows uniformly, at a rate determined by a suitable natural constant. The constant has a value of 0.08 [1/year] and indicates the natural, mathematical connection of the passage of time with the cyclic motion of the planet Earth, and therefore with the calendar. The thermodynamic process involves the transformation of the primary energy of modern man’s life into his human capital, i.e., his ability to act and perform useful work. The term presented is conciliatory to the natural and economic sciences. The constant of the passage of time also plays an inalienable role in understanding capital and its periodic growth or profit. In considerations, entropy is consistently seen as a transformation of energy, so the constant discovered with the theory of measuring personal human capital turned out to be a measure of the passage of time.

The impact of energy transition on economy and health and its fairness

We propose the use of length and energy transforms in the classification of multichannel EEG data to identify different cognitive activity using a reduced set of recording electrodes. The length transform (ET) represents a temporarily smoothed time course of the data, while the energy transform (ET) can be interpreted as a short-term energy estimate. The transformation of the data in the length/energy domain allows to effectively preserving important data features when autoregressive (AR) models are used to reduce the dimension of the classification problem. We evaluate the performance of the ET and ET on the classification of real cognitive EEG data for the case when the optimal AR model is selected under the Schwarz's Bayesian criterion (SBC) and a Mahalanobis distance-based classifier is used. Our results show that accurate classification is achieved when the data is transformed through the ET or ET even for low-order AR models, having the ET slightly better performance.

The article presents the results of research on the issues of Poland’s energy transformation from a sociological perspective. The exploratory analysis covered the attitude of the Polish society to the energy transformation, i.e. a change in the methods of generating energy in Poland, which results from the climate policy adopted by the Polish government.1 The aim of the article is to present social awareness – the social expectations and perceptions of Poles regarding the energy transformation understood in this way – to determine whether the opinions and views of the Polish society are in line with the planned and implemented energy transformation processes. The article provides an answer to the question about the Polish society’s attitudes towards the energy transformation and energy sources – to what extent the attitudes towards the proposed solutions to the problems are positive, and to what extent negative. For this purpose, the method of analysing the existing statistical data was used The basis of the secondary data analysis are the results of public opinion polls, carried out by the Public Opinion Research Centre (CBOS) in the period from 19872 to 2021. The sociological perspective adopted here assumes that the energy transformation is not only an economic but also a social process. For this reason, public support, in particular the positive attitude of respondents to new energy sources, is considered an important element of its success.

We present a formalism for constructing schematic diagrams to depict chaotic three-body interactions in Newtonian gravity. This is done by decomposing each interaction in to a series of discrete transformations in energy- and angular momentum-space. Each time a transformation is applied, the system changes state as the particles re-distribute their energy and angular momenta. These diagrams have the virtue of containing all of the quantitative information needed to fully characterize most bound or unbound interactions through time and space, including the total duration of the interaction, the initial and final stable states in addition to every intervening temporary meta-stable state. As shown via an illustrative example for the bound case, prolonged excursions of one of the particles, which by far dominates the computational cost of the simulations, are reduced to a single discrete transformation in energy- and angular momentum-space, thereby potentially mitigating any computational expense. We further generalize our formalism to sequences of (unbound) three-body interactions, as occur in dense stellar environments during binary hardening. Finally, we provide a method for dynamically evolving entire populations of binaries via three-body scattering interactions, using a purely analytic formalism. In principle, the techniques presented here are adaptable to other three-body problems that conserve energy and angular momentum.

International science assessments consistently show the Philippines scoring low, highlighting a critical gap in the effectiveness of current learning materials. This study aimed to address this gap by assessing a Strategic Intervention Material (SIM) designed to improve student learning in science. The researchers developed a pocket SIM titled "Transformation City" to target the least mastered competency in the topic 'Transformation of Energy' for Grade 6 students. A mixed-methods research design was employed to analyze the impact of the SIM on 30 students at DMMMSU-MLUC Laboratory Elementary School. The study utilized pre-tests, post-tests, student perception surveys, and student feedback to assess knowledge gained and gather insights for improvement. The findings revealed a significant increase in student learning outcomes after using the "Transformation City" SIM, demonstrating its potential to bridge the gap in science education.

The rapid urbanization and urban energy transformation worldwide have surpassed the urban global tipping point and poses serious challenges to the current energy systems and infrastructures in global mega cities. The cities consume about 75% of worldwide energy production and produce 80% of CO2 emissions. It is estimated that nearly 68% of the world&amp;#8217;s population will be living in urban areas by 2050 as well as 2.5 billion people will be added to the world&amp;#8217;s urban population (UN Department of Economic Social Affairs, 2018). The exponentially increasing urbanization poses environmental threats. This calls for research and development of technologies, sustainability assessment tools and public policy instruments with a strong focus on the energy transformation in mega cities. The knowledge base compiled from such an analysis will help in fast-tracking the transition towards equitable, sustainable, and livable cities. This requires a thorough analysis via life-cycle approach for the structure and the feedback of the cities to the implementation of the sustainable energy transformation pathways. To fill these gaps, the overarching goal of this proposed study is to assess the sustainability (i.e., environmental, economic and social) impacts and air quality benefits of urban energy transformation in future smart cities. This will be accomplished via a systematic review of existing literature for following key objectives, (i) To assess the impact of energy efficiency measures in smart cities planning as well as increasing uptake of renewable energy sources and diversification; (ii) To conduct the sustainability assessment and quantify the environmental benefits (i.e., air pollution reduction) of four specific interventions in smart city transport planning including, electrification, automation, vehicle sharing schemes and micro mobility options. The analysis will follow a life cycle thinking approach ; (iii) To examine the structure and the sensitivities of the cities in response to the sustainable energy transformation via modes such as alternative energy use, deployment of green infrastructure and distribution of decentralized energy systems (e.g., Solar photovoltaic technology and battery technology); &amp;#160;(iv) Further, the necessity and effectiveness of the legislative policies for energy transformation in smart cities planning and governance will be evaluated. This proposed study will provide benchmarks to broaden our knowledge and decision-making capabilities to quantify the energy and resource efficiencies of sustainable energy transformation pathways. It will indirectly contribute towards fulfilling and realizing the Sustainability Developments Goals (SDG&amp;#8217;s) put forward by the UN. The findings of this study will be helpful for the city planners, local councils as well as the policy makers for a sustainable urban energy transformation for smart cities planning and implementation. This will help to broaden knowledge of different stakeholders for informed decision-making towards energy options with minimal sustainability impacts and greater energy/resource efficacies.

Recent advancement and challenges in multifunctional carbon nanotube buckypaper and its composites for energy storage and conversion applications