High level automation to achieve improved productivity, energy efficiency and consistent cement quality

The depletion of traditional organic energy sources and aggravated environmental problems are the reasons why the level of energy efficiency is an important factor in the competitiveness of the national economy. Russia ranks third in the world in terms of total energy consumption and its economy is distinguished by a high level of energy intensity (amount of energy per unit of GDP). In 2019, this figure was 9.62 tons of oil equivalent (toe) per 1 million rubles, which is 40% higher than the world average. The low energy efficiency of the Russian economy is a widely recognized problem. A special decree of the Government of Russia in 2018 sets the task of increasing the level of energy efficiency of the Russian economy by 23% by 2030. One of the ways to solve this problem is the development of nuclear energy, and increasing the competitiveness of nuclear energy is one of the key issues for the national economy. In this connection, solving the problem of assessing the competitiveness of the nuclear industry and its leading companies occupies a key place among the practical scientific problems, the solution of which is facilitated by the results presented by the authors in this article. Rosenergoatom Concern JSC is the leading energy generating company in the Russian nuclear industry. The results of the study of the competitiveness of Rosenergoatom Concern JSC were obtained on the basis of the authors’ methodology for assessing the competitiveness of an energy generating company. The novelty of the presented methodology lies in the developed normative and evaluative model and the coefficients of competitiveness of an energy generating company. The advantages of the authors’ model are that it allows (1) obtaining integral assessments of the competitiveness of a power generating company at short time intervals for a large number of indicators and (2) quantitatively measuring the effects of different factors on the competitiveness of a power generating company, provided that the grouping of indicators of competitiveness of a power generating company is justified by influencing factors. The two factors considered by the authors were: the general market factor and the industry factor. According to the results of the study, it was found that Rosenergoatom Concern JSC demonstrates positive increase of the competitiveness indicator mainly due to the industry factor. With this regard, it was concluded that, within the framework of state policy, it is advisable to strengthen support for the Russian nuclear industry by creating additional conditions and opportunities for its energy generating companies on the domestic energy market.

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Problems of modeling of complex technological systems of greenhouse production

MATEC Web of Conferences ◽

10.1051/matecconf/201822602020 ◽

2018 ◽

Vol 226 ◽

pp. 02020 ◽

Cited By ~ 2

Author(s):

Evgeniya P. Klyuchka ◽

Viktor V. Radin ◽

Leonid M. Groshev ◽

Sergey I. Kambulov

Keyword(s):

Energy Efficiency ◽

Comparative Analysis ◽

Optimal Solution ◽

Technological Systems ◽

Greenhouse Production ◽

Technological Paradigm ◽

Scale Models ◽

Methodological Approaches ◽

The Individual ◽

High Level

The main problems connected with modelling of complex technological systems of greenhouse production are considered. The methodological approaches used at present on the basis of classical comparative analysis with subsequent heuristic conclusions are analysed. Based on the study of this issue, it was concluded that the development and implementation of innovative technologies that affect the individual subsystems of the greenhouse complex do not provide the optimal solution to improve the energy efficiency of the system as a whole. There is a need to create a new synergistic technological paradigm for abandoning costly full-scale models and developing models with a high level of adequacy of real technological processes.

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Incorporating Security and Energy Efficiency for Multimedia Communications in WANets

Technological Advancements and Applications in Mobile Ad-Hoc Networks ◽

10.4018/978-1-4666-0321-9.ch014 ◽

2012 ◽

pp. 228-246

Author(s):

Lamia Kaddar

Keyword(s):

Energy Efficiency ◽

Wireless Ad Hoc Networks ◽

Ad Hoc ◽

Text Message ◽

Limited Resource ◽

Multimedia Data ◽

Plain Text ◽

Hoc Networks ◽

High Level ◽

Inter Frame

The security of multimedia data in Wireless Ad hoc Networks (WANet) is commonly provided by encryption, which consists in transforming a plain text message into an unintelligible ciphertext. Nevertheless, the classical and modern ciphers have all been developed without taking into consideration the intrinsic characteristics of multimedia flows. In this chapter, the author proposes to reduce the computational requirements for the multimedia flow’s encryption when the energy is a limited resource, as it is the case of WANets. Thus, the chapter defines a new profile of Secure Real Time Protocol (SRTP), named EE_SRTP. EE_SRTP provides energy efficiency to SRTP, which provides essentially confidentiality, message authentication, and replay protection to the RTP traffic. In EE_SRTP, the author exploits the dependency existing between the frames created by the inter-frame coding to further improve the energy-efficiency of the encryption process. In contrast with the existing approaches, this chapter presents an experimental model that integrates EE_SRTP to Video LAN Coding (VLC). Therefore, to validate EE_SRTP, the author implements a secure version of VLC (SecVLC). The performance evaluation demonstrates clearly that using this new scheme in the context of wireless ad hoc nodes allows saving energy while ensuring a high level of content confidentiality, without adding an overhead to the wireless network.

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Economic and energy efficiency of agriculture

Agricultural Economics (Zemědělská ekonomika) ◽

10.17221/170/2020-agricecon ◽

2020 ◽

Vol 66 (No. 8) ◽

pp. 355-364

Author(s):

Marcin Wysokiński ◽

Joanna Domagała ◽

Arkadiusz Gromada ◽

Magdalena Golonko ◽

Paulina Trębska

Keyword(s):

Energy Efficiency ◽

Economic Development ◽

Data Envelopment ◽

Eu Countries ◽

Modern Agriculture ◽

Socio Economic Development ◽

Industrial Energy ◽

Production Technologies ◽

High Level ◽

The Eu

Article concerns economic and energy efficiency of agriculture in European Union countries. The study period concerned 2016. For analysis and presentation of materials, descriptive, tabular and graphic methods and the Data Envelopment Analysis (DEA) method – CCR (Charnes, Cooper and Rhodes) model focused on input-oriented minimisation were used. An assessment of the socio-economic development of the EU countries was made using the following measures: Human Development Index (HDI) and Gross Domestic Product (GDP) per capita (USD per inhabitant). Modern agriculture depends on industrial energy sources and as the socio-economic development changes into more and more energy-intensive production technologies. After presenting the introduction and review of the literature, the economic and energy efficiency of agriculture in the EU countries in 2016 was examined, which was at a high level – the DEA reached 0.67. Then, the correlation between the socio-economic development of countries and their economic and energy efficiency was analysed. It was also found that along with socio-economic development in the EU countries, the economic and energy efficiency of agriculture is increasing.

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Artificial Intelligence: An Energy Efficiency Tool for Enhanced High performance computing

Symmetry ◽

10.3390/sym12061029 ◽

2020 ◽

Vol 12 (6) ◽

pp. 1029

Author(s):

Anabi Hilary Kelechi ◽

Mohammed H. Alsharif ◽

Okpe Jonah Bameyi ◽

Paul Joan Ezra ◽

Iorshase Kator Joseph ◽

...

Keyword(s):

Artificial Intelligence ◽

Energy Efficiency ◽

High Performance Computing ◽

High Performance ◽

Large Data ◽

Computing Systems ◽

Computing Power ◽

Product Delivery ◽

High Level ◽

Performance Computing

Power-consuming entities such as high performance computing (HPC) sites and large data centers are growing with the advance in information technology. In business, HPC is used to enhance the product delivery time, reduce the production cost, and decrease the time it takes to develop a new product. Today’s high level of computing power from supercomputers comes at the expense of consuming large amounts of electric power. It is necessary to consider reducing the energy required by the computing systems and the resources needed to operate these computing systems to minimize the energy utilized by HPC entities. The database could improve system energy efficiency by sampling all the components’ power consumption at regular intervals and the information contained in a database. The information stored in the database will serve as input data for energy-efficiency optimization. More so, device workload information and different usage metrics are stored in the database. There has been strong momentum in the area of artificial intelligence (AI) as a tool for optimizing and processing automation by leveraging on already existing information. This paper discusses ideas for improving energy efficiency for HPC using AI.

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Effects of Servers' Rack Location and Power Loading Configurations on the Thermal Management of Data Center Racks' Array

Journal of Thermal Science and Engineering Applications ◽

10.1115/1.4036009 ◽

2017 ◽

Vol 9 (4) ◽

Cited By ~ 3

Author(s):

S. A. Nada ◽

K. E. Elfeky

Keyword(s):

Energy Efficiency ◽

Thermal Management ◽

Thermal Performance ◽

Data Center ◽

Real Data ◽

Heat Index ◽

Power Loading ◽

And Performance ◽

High Level ◽

Power Densities

Effects of server/rack locations and server loading configurations on the thermal performance of data center racks' array are experimentally investigated using a scaled physical model simulating real data. Front and rear rack temperatures profiles, server temperatures, and performance indices supply/return heat index (SHI/RHI) are used to evaluate the thermal management of the racks' array. The results showed that (i) servers located in high level rack cabinet have the worst thermal performance, (ii) middle racks of the rack row showed optimum thermal performance and energy efficiency, and (iii) locating the servers of high power densities in the middle of the racks row improves the thermal performance and energy efficiency of the racks array.

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An integrated torque-vectoring control framework for electric vehicles featuring multiple handling and energy-efficiency modes selectable by the driver

Meccanica ◽

10.1007/s11012-021-01317-3 ◽

2021 ◽

Author(s):

Andrea Mangia ◽

Basilio Lenzo ◽

Edoardo Sabbioni

Keyword(s):

Energy Efficiency ◽

Electric Vehicles ◽

Degrees Of Freedom ◽

Integrated Approach ◽

Sideslip Angle ◽

Control Framework ◽

Torque Vectoring ◽

Wheel Torque ◽

High Level ◽

Yaw Moment

AbstractA key feature achievable by electric vehicles with multiple motors is torque-vectoring. Many control techniques have been developed to harness torque-vectoring in order to improve vehicle safety and energy efficiency. The majority of the existing contributions only deal with specific aspects of torque-vectoring. This paper presents an integrated approach allowing a smooth coordination among the main blocks that constitute a torque-vectoring control framework: (1) a reference generator, that defines target yaw rate and sideslip angle; (2) a high level controller, that works out the required total torque and yaw moment at the vehicle level; (3) a low level controller, that maps the required force and yaw moment into individual wheel torque demands. In this framework, the driver can select one among a number of driving modes that allow to change the vehicle cornering response and, as a second priority, maximise energy efficiency. For the first time, the selectable driving modes include an “Energy efficiency” mode that uses torque-vectoring to prioritise the maximisation of the vehicle energy efficiency, thus further increasing the vehicle driving range. Simulation results show the effectiveness of the proposed framework on an experimentally validated 14 degrees of freedom vehicle model.

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Comprehensive Energy Renovation of Two Danish Heritage Buildings within IEA SHC Task 59

Heritage ◽

10.3390/heritage4040155 ◽

2021 ◽

Vol 4 (4) ◽

pp. 2746-2762

Author(s):

Jørgen Rose ◽

Kirsten Engelund Thomsen

Keyword(s):

Energy Efficiency ◽

Energy Consumption ◽

Cultural Values ◽

Best Practice ◽

Energy Savings ◽

Indoor Climate ◽

Historical Building ◽

Efficiency Measures ◽

Heritage Buildings ◽

High Level

Historic and heritage buildings present a significant challenge when it comes to reducing energy consumption to mitigate climate change. These buildings need careful renovation, and increasing their energy efficiency is often associated with a high level of complexity, because consideration for heritage values can often reduce and impede possibilities and sometimes even rule out certain improvements completely. Despite these issues, many such renovation projects have already been carried out, and therefore the IEA SHC Task 59 project (Renovating Historic Buildings Towards Zero Energy) in cooperation with Interreg Alpine Space ATLAS has developed a tool for sharing these best-practice examples—the HiBERatlas (Historical Building Energy Retrofit Atlas). The Internet serves as a best-practice database for both individual energy efficiency measures and whole-building renovation projects. This paper presents two of the Danish projects featured in HiBERatlas. The first project, Ryesgade 30, is a Copenhagen apartment building with a preservation-worthy period brick façade. The second project is the Osram Building, a listed Copenhagen office building from 1959 with a protected façade, which today acts as a culture centre. Both renovation projects achieved significant energy savings and consequently CO2-emission reductions, and the indoor climate in both buildings have also improved significantly. Furthermore, a detailed analysis was carried out regarding possible window solutions and ventilation systems in Ryesgade 30, and for the Osram Building regarding daylighting technologies. This paper investigates the two renovation cases through the available measurement and calculation results before and after renovations and demonstrates that it is possible to reduce energy consumption significantly and at the same time improve the indoor climate without compromising the cultural values of buildings.

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FORMATION OF CLUSTER STRUCTURES IN THE CONDITIONS OF THE ENERGY INDEPENDENCE DEVELOPMENT

Economic Analysis ◽

10.35774/econa2017.03.056 ◽

2017 ◽

pp. 56-61

Author(s):

Oksana Mykoliuk

Keyword(s):

Energy Efficiency ◽

Innovation Development ◽

Scientific Principles ◽

Energy Independence ◽

General Scientific ◽

State Rate ◽

Growth Energy ◽

High Level ◽

Energy Cluster

Introduction. The formation of cluster structures in Ukraine is a prerequisite for the revival of domestic production, the innovation development efficiency increasing, and achievement of high level of economic growth, energy efficiency, energy security and competitiveness. To inform everyone about the peculiarities of the development of the regions of the country means to actualize the role of clusters, which will create advantages in the competition. Purpose. The article aims to analyse foreign and domestic experience in the formation of cluster structures, as well as to identify opportunities and prospects for their application as an instrument for improving energy efficiency and establishing energy independence. Methodology. The fundamental positions of the general economic theory, scientific knowledge, general scientific principles, historical and system approaches to the study of the formation and development of the energy cluster have become the methodological basis of the article. Results. In the article the foreign experience of creation and functioning of clusters, including energy ones, has been considered. The activity of domestic clusters has been analysed. The conceptual scheme of the structure of cluster education has been represented by the identification of the coordination centre. The factors of activating the state rate on energy efficiency within the framework of creation of the energy cluster have been determined.

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Scotch

Proceedings of the VLDB Endowment ◽

10.14778/3430915.3430919 ◽

2020 ◽

Vol 14 (3) ◽

pp. 281-293

Author(s):

Martin Kiefer ◽

Ilias Poulakis ◽

Sebastian Breß ◽

Volker Markl

Keyword(s):

Energy Efficiency ◽

Large Scale ◽

Broad Class ◽

Approximate Query Processing ◽

Code Generator ◽

Domain Specific ◽

Large Scale Network ◽

Hardware Description ◽

Definition Of ◽

High Level

Sketching algorithms are a powerful tool for single-pass data summarization. Their numerous applications include approximate query processing, machine learning, and large-scale network monitoring. In the presence of high-bandwidth interconnects or in-memory data, the throughput of summary maintenance over input data becomes the bottleneck. While FPGAs have shown admirable throughput and energy-efficiency for data processing tasks, developing FPGA accelerators requires a sophisticated hardware design and expensive manual tuning by an expert. We propose Scotch, a novel system for accelerating sketch maintenance using FPGAs. Scotch provides a domain-specific language for the user-friendly, high-level definition of a broad class of sketching algorithms. A code generator performs the heavy-lifting of hardware description, while an auto-tuning algorithm optimizes the summary size. Our evaluation shows that FPGA accelerators generated by Scotch outperform CPU- and GPU-based sketching by up to two orders of magnitude in terms of throughput and up to a factor of five in terms of energy efficiency.

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