A BRIEF HISTORY OF ENERGY CONSUMPTION

2016 ◽  
pp. 1-26
Athenea ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 14-21
Author(s):  
Héctor Tillerias ◽  
Juan Segura ◽  
Gabriela Álvarez

This paper presents a description of the history of the technology used in the industries, its evolution regarding the use of energy and the processes that have innovated it within the industries. It describes the technology that highlighted industrial revolutions from the first to the present, and presents estimates of future trends. The evolution presents changes regarding energy consumption and efficiencies in the use of technologies in the industry. The innovation presents the changes or techniques implemented to obtain greater benefit from the technology and respond in a better way to the market demand. Clear trends are identified in the increased use of technology in industries with respect to their labor and energy consumption. Keywords: Technologies, industrial revolutions, innovation. References [1]G. M. GROSSMAN, «Innovation and Growth in the Global Economy,» Cambridge, 1991. [2]S. NAVA, «New Paradigm of Big Data in Industry 4.0 era,» TOG ( A Coruña), 2018. [3]L. Kim, La dinámica del aprendizaje tecnológico en la industrialización, Suam Foundation, 2000. [4]H. Pack, E.Westphal, Industrial Strategy and Technological Change, Journal of Development Economies, vol. 4, pp. 205-237, 1986. [5]A. ESCARDINO, «La innovación tecnológica en la industria cerámica de Castellón,» Boletin de sociedad Española Ceramica y vidrio, vol. 40, 2001. [6]M ASHTON, T.S. «The lnduetrtal Revolutlon, 1760-1830. Oxford University Press, 1948». La Revolución Industrial. F.C.E., México, 1950. [7]E. WRIGLEY, The Supply of Raw Materials in the Industrial Revolution, Economic History Review, 1962. [8]R. CANTOR, La tercera revolución industrial. Universitas Humanística, 2004. [Online]. Available: https://revistas.javeriana.edu.co/index.php/univhumanistica/article/view/9908. [Last access: January 23, 2020]. [9]K. SCHWAB, Cuarta Revolución Industrial. Madrid: Debate, 2016. [10]C. MACHICADO, Las revoluciones industriales. INESAD: Desarrollo sobre la Mesa, 2018, [Online]. Available: [http://inesad.edu.bo/dslm/2018/08/las-revoluciones-industriales/[Last access: January 23, 2020].


2019 ◽  
Vol 26 (2) ◽  
pp. 121-127
Author(s):  
Lech J. Sitnik

Abstract For the third time in the history of humankind, it is trying to implement e-mobility. There is a reasonable hope that this attempt will succeed this time. E-mobility is generally regarded as a zero emission. This sentence can only be true in a very small scope, as only in relation to selected parameters and in a very limited its dimension. The situation can change radically. If it will be take into account, the emissions in the production of electricity is necessary for the movement of this type of vehicles Second problem is the energy use amount. We know today that the energy consumption of electric cars, especially in long-term operation is too big. This general knowledge is not confirmed by research results. Both relevant databases and methods of their analysis are missing. This is an unfavourable situation because it is not possible to verify the effects of various changes introduced e.g. in the construction or technology of cars. This publication can be included in those in which it is shown how to change this situation. The analysis of the results of long-term car use can be used as a verification of various development works, especially in e-mobility, which is only just starting. In the future, it will be need to create the appropriate “big data” databases and a number of tools to analyse the data collected there.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Farnaz Mahan ◽  
Seyyed Meysam Rozehkhani ◽  
Witold Pedrycz

In recent years, due to the growing demand for computational resources, particularly in cloud computing systems, the data centers’ energy consumption is continually increasing, which directly causes price rise and reductions of resources’ productivity. Although many energy-aware approaches attempt to minimize the consumption of energy, they cannot minimize the violation of service-level agreements at the same time. In this paper, we propose a method using a granular neural network, which is used to model data processing. This method identifies the physical hosts’ workloads before the overflow and can improve energy consumption while also reducing violation of service-level agreements. Unlike the other techniques that use a single criterion, namely, worked on the basis of the history of using the processor, we simultaneously use all the productivity rates criteria, that is, processor productivity rates, main memory, and bandwidth. Extensive real-world simulations using the CloudSim simulator show the high efficiency of the proposed algorithm.


2018 ◽  
Vol 10 (9) ◽  
pp. 3250 ◽  
Author(s):  
Milad Mohammadalizadehkorde ◽  
Russell Weaver

Given the prominent position of academia in sustainability studies and sustainability science, it is natural to want to look to universities as models of (or keepers of knowledge about) sustainable practices—including practices related to energy consumption. Nevertheless, there is a long history of and literature on universities failing to implement their own sustainability initiatives. Apart from typical justifications for implementation failure that include budget constraints and financial infeasibility, one of the main obstacles that consistently keeps universities from achieving their own sustainability-related goals is a lack of enforcement. More precisely, universities tend to codify their sustainability-related goals in non-binding declarations that are voluntary. In that respect, failure to achieve a goal does not result in any sort of formal sanction. As such, universities are free to claim a commitment to sustainability in their public communications, without having to consistently and persistently demonstrate that commitment in practice. Situated on this backdrop, the present review paper aims to concisely and selectively stitch together three streams of literature: (1) the rationale for sustainability and, by extension, sustainable energy consumption, in higher education; (2) the current state of sustainability planning and its (in)efficacy in institutions of higher education; and (3) effective practices for reducing energy consumption at scales comparable to university campuses.


POPULATION ◽  
2021 ◽  
Vol 24 (2) ◽  
pp. 142-153
Author(s):  
Vladimir Tetelmin

The continuous increase in human energy production per caput is accompanied by an increase in the world population. The work considers the demographic history of civilization as a function of the growing production and use of the energy by mankind. The evolution in the «energy-man» system took place relatively safely for the biosphere and a man up to the value of the per caput energy consumption of 11,000 kW*h/year*person that was achieved by civilization in 1950. Modern high per caput energy consumption of civilization is achieved at the cost of the loss of the environment-forming functioning by the biosphere and at the cost of the loss of the psychophysical health of a person. We can see the prospects for development of civilization through analysis of the energy-demographic history of mankind over the past 200 years. The features of fertility and mortality in the world are considered depending on the per caput energy consumption with a forecast for the future. Two limits to the growth of global energy production were formulated in terms of preventing harm to humans. Corresponding analytical dependencies are proposed. To prevent an ecological and demographic catastrophe and ensure transition of civilization to sustainable development, it is proposed to reduce the world energy production to 140*1012 kW*h/year with a decrease in per caput energy consumption to a relatively safe level of 18,000 kW*h/year*person, which existed in society in 1970. After this «step back» civilization will enter a state of relatively safe existence.


Author(s):  
Malanima Paolo ◽  
Astrid Kander ◽  
Paul Warde

This book explores the role that energy has played in the economic history of Europe, highlighting the link between energy consumption and economic development. Using three industrial revolutions as the organizing principle, it shows that the path of the modern economy has not been a straightforward story of a constant rate of increase in the use of energy. Instead, the overall trajectory of energy use within Europe follows a logistic S-shaped curve. Three phases can be identified: the first phase, 1500–1800, was marked by little growth in overall energy consumption; the second phase, 1800–1970, is the Industrial Age, which saw explosive expansion in energy use, except during the World Wars and interwar period; the third period, 1970–2008, was marked by stabilization in energy consumption per capita. Based on these developments, the book considers the drivers of energy transitions as well as the economic efficiency of energy use.


2021 ◽  
Vol 16 (2) ◽  
pp. 1-17
Author(s):  
Paulo Cesar Santos ◽  
Francis Birck Moreira ◽  
Aline Santana Cordeiro ◽  
Sairo Raoní Santos ◽  
Tiago Rodrigo Kepe ◽  
...  

One of the main challenges for modern processors is the data transfer between processor and memory. Such data movement implies high latency and high energy consumption. In this context, Near-Data Processing (NDP) proposals have started to gain acceptance as an accelerator device. Such proposals alleviate the memory bottleneck by moving instructions to data whereabouts. The first proposals date back to the 1990s, but it was only in the 2010s that we could observe an increase in papers addressing NDP. It occurred together with the appearance of 3D-stacked chips with logic and memory stacked layers. This survey presents a brief history of these accelerators, focusing on the applications domains migrated to near-data and the proposed architectures. We also introduce a new taxonomy to classify such architectural proposals according to their data distance.


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