Rail Transportation Energy Efficiency-Oriented Technologies

2012 ◽  
Author(s):  
Pamela E. Alexander
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Power Systems ◽  
New Technologies ◽  
Rail Transportation ◽  
Transportation Energy ◽  
Increase Energy Efficiency ◽  
Rail Systems ◽  
Sustainability Initiatives ◽  
Carbon Dioxide Co2

Rail transportation is playing a very important role in the effort to keep the world’s expanding major cities safe and mobile. Travel by rail can move people and cargo with higher levels of energy efficiency, greater safety, lower cost and greater reliability than any other mode of transportation. On average, trips by train can generate between one third and one fifth of the carbon dioxide (CO2) produced by the equivalent automobile or airplane travel. Environmental awareness plus reduced operating costs are primary considerations in decision making for new transit programs around the globe. Energy consumption is a major part of rail operation costs and has been at the focus of rail systems sustainability initiatives. The majority of energy consumed by metropolitan and urban rail systems is used to move the trains. In recent years, energy saving technologies for rail vehicle power systems have been implemented on many rail systems worldwide. Improving railway energy efficiency results in not only a reduction in energy consumption and cost, but also a reduction in pollution due to power generation. In an effort to promote environmental quality and energy efficiency, energy usage in rail systems is analyzed to identify new technologies, developments, and procedures for increased efficiency. This paper provides an overview of the various strategies and solutions used to increase energy efficiency in rail systems and highlights the key technologies needed for their implementation.

Naval Energy Management System

2020 ◽  
Vol 26 (3) ◽  
pp. 20-25
Author(s):  
Laurențiu Bogdan Asalomia ◽  
Gheorghe Samoilescu
Keyword(s):  
Energy Consumption ◽  
Power Systems ◽  
New Technologies ◽  
Integrated Navigation ◽  
Integrated Navigation System ◽  
Efficient Management ◽  
Reduce Energy Consumption ◽  
Energy Efficiency Design Index ◽  
Green Ship

AbstractThe paper analyses the role of control and monitoring of electro-energetic equipment in order to reduce operational costs, increase profits and reduce carbon emissions. The role of SCADA and EcoStruxure Power systems is presented and analysed taking into account the energy consumption and its savings. The paper presents practical and modern solutions to reduce energy consumption by up to 53%, mass by up to 47% and increase the life of the equipment by adjusting the electrical parameters. The Integrated Navigation System has allowed an automatic control and an efficient management. For ships, the implementation of an energy efficiency design index and new technologies was required for the GREEN SHIP project.

scholarly journals An Energy Consumption Approach to Estimate Air Emission Reductions in Container Shipping

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 278
Author(s):  
Ernest Czermański ◽  
Giuseppe T. Cirella ◽  
Aneta Oniszczuk-Jastrząbek ◽  
Barbara Pawłowska ◽  
Theo Notteboom
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Early Stage ◽  
Management Plan ◽  
Policy Formulation ◽  
Container Shipping ◽  
Shipping Industry ◽  
Emission Reductions ◽  
Energy Efficiency Design Index ◽  
Carbon Dioxide Co2

Container shipping is the largest producer of emissions within the maritime shipping industry. Hence, measures have been designed and implemented to reduce ship emission levels. IMO’s MARPOL Annex VI, with its future plan of applying Tier III requirements, the Energy Efficiency Design Index for new ships, and the Ship Energy Efficiency Management Plan for all ships. To assist policy formulation and follow-up, this study applies an energy consumption approach to estimate container ship emissions. The volumes of sulphur oxide (SOx), nitrous oxide (NOx), particulate matter (PM), and carbon dioxide (CO2) emitted from container ships are estimated using 2018 datasets on container shipping and average vessel speed records generated via AIS. Furthermore, the estimated reductions in SOx, NOx, PM, and CO2 are mapped for 2020. The empirical analysis demonstrates that the energy consumption approach is a valuable method to estimate ongoing emission reductions on a continuous basis and to fill data gaps where needed, as the latest worldwide container shipping emissions records date back to 2015. The presented analysis supports early-stage detection of environmental impacts in container shipping and helps to determine in which areas the greatest potential for emission reductions can be found.

scholarly journals Real-Time Decision Making in First Mile and Last Mile Logistics: How Smart Scheduling Affects Energy Efficiency of Hyperconnected Supply Chain Solutions

Energies ◽  
2018 ◽  
Vol 11 (7) ◽  
pp. 1833 ◽  
Author(s):  
Tamás Bányai
Keyword(s):  
Energy Efficiency ◽  
Supply Chain ◽  
Energy Consumption ◽  
Real Time ◽  
Real Time Scheduling ◽  
Improve Energy Efficiency ◽  
Increase Energy Efficiency ◽  
Last Mile ◽  
Time Scheduling ◽  
Last Mile Delivery

Energy efficiency and environmental issues have been largely neglected in logistics. In a traditional supply chain, the objective of improving energy efficiency is targeted at the level of single parts of the value making chain. Industry 4.0 technologies make it possible to build hyperconnected logistic solutions, where the objective of decreasing energy consumption and economic footprint is targeted at the global level. The problems of energy efficiency are especially relevant in first mile and last mile delivery logistics, where deliveries are composed of individual orders and each order must be picked up and delivered at different locations. Within the frame of this paper, the author describes a real-time scheduling optimization model focusing on energy efficiency of the operation. After a systematic literature review, this paper introduces a mathematical model of last mile delivery problems including scheduling and assignment problems. The objective of the model is to determine the optimal assignment and scheduling for each order so as to minimize energy consumption, which allows to improve energy efficiency. Next, a black hole optimization-based heuristic is described, whose performance is validated with different benchmark functions. The scenario analysis validates the model and evaluates its performance to increase energy efficiency in last mile logistics.

scholarly journals Big Steps Towards Query Eco-Processing - Thinking Smart

2021 ◽  
Vol Volume 34 - 2020 - Special... ◽  
Author(s):  
Simon Pierre Dembele ◽  
Ladjel Bellatreche ◽  
Carlos Ordonez ◽  
Nabil Gmati ◽  
Mathieu Roche ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Cost Models ◽  
It Systems ◽  
Environmentally Responsible ◽  
International Audience ◽  
Query Optimizers ◽  
Carbon Dioxide Co2 ◽  
Time And Energy ◽  
Sensitive Parameters

Soumission à Episciences International audience Computers and electronic machines in businesses consume a significant amount of electricity, releasing carbon dioxide (CO2), which contributes to greenhouse gas emissions. Energy efficiency is a pressing concern in IT systems, ranging from mobile devices to large servers in data centers, in order to be more environmentally responsible. In order to meet the growing demands in the awareness of excessive energy consumption, many initiatives have been launched on energy efficiency for big data processing covering electronic components, software and applications. Query optimizers are one of the most power consuming components of a DBMS. They can be modified to take into account the energetical cost of query plans by using energy-based cost models with the aim of reducing the power consumption of computer systems. In this paper, we study, describe and evaluate the design of three energy cost models whose values of energy sensitive parameters are determined using the Nonlinear Regression and the Random Forests techniques. To this end, we study in depth the operating principle of the selected DBMS and present an analysis comparing the performance time and energy consumption of typical queries in the TPC benchmark. We perform extensive experiments on a physical testbed based on PostreSQL, MontetDB and Hyrise systems using workloads generatedusing our chosen benchmark to validate our proposal. Les ordinateurs et les machines électroniques des entreprises consomment une quantité importante d’électricité, libérant ainsi du dioxyde de carbone (CO2), qui contribue aux émissions de gaz à effet de serre. L’efficacité énergétique est une préoccupation urgente dans les systèmesinformatiques, partant des équipements mobiles aux grands serveurs dans les centres de données, afin d’être plus respectueux envers l’environnement. Afin de répondre aux exigences croissantes en matière de sensibilisation à l’utilisation excessive de l’énergie, de nombreuses initiatives ont été lancées sur l’efficacité énergétique pour le traitement des données massives couvrant les composantsélectroniques, les logiciels et les applications. Les optimiseurs de requêtes sont l’un des composants les plus énergivores d’un SGBD. Ils peuvent être modifiés pour prendre en compte le coût énergétique des plans des requêtes à l’aide des modèles de coût énergétiques intégrés dans l’optimiseur dans le but de réduire la consommation électrique des systèmes informatiques. Dans cet article, nousétudions, décrivons et évaluons la conception de trois modèles de coût énergétique dont les valeurs des paramètres sensibles à l’énergie sont définis en utilisant la technique de la Régression non linéaire et la technique des forêts aléatoires. Pour ce fait, nous menons une étude approfondie du principe de fonctionnement des SGBD choisis et présentons une analyse des performances en termes de temps et énergie sur des requêtes typiques du benchmarks TPC-H. Nous effectuons des expériences approfondies basées sur les systèmes PostgreSQL, MonetDB et Hyrise en utilisant un jeu de données généré à partir du benchmarks TPC-H afin de valider nos propositions.

Energieeffizienz durch Oberschwingungsreduzierung*/Energy efficiency through harmonic distortion reduction – Harmonics-minimized control strategy in production machines

2019 ◽  
Vol 109 (10) ◽  
pp. 793-800
Author(s):  
S. Ju ◽  
N. Hanenkamp
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Power Electronics ◽  
Control Strategy ◽  
Harmonic Distortion ◽  
Wird Eine ◽  
Motor Speed ◽  
Increase Energy Efficiency ◽  
Fundamental Oscillation ◽  
Distortion Reduction

Oberschwingungen durch frequenzgeregelte Antriebe wirken sich stark negativ auf den Energieverbrauch aus. Diese Oberschwingungen verstärken sich immer dann, wenn schnelle Drehzahländerungen aus Produktivitätsgründen notwendig sind. Zur Kompensation dieser Effekte müssen Steuerungsstrategien optimiert und weiterentwickelt werden. Durch die Erhöhung des Grundschwingungsanteils im Motorsteuersignal lässt sich die Energieeffizienz um bis zu 20 % steigern. Um dieses Ziel zu erreichen, wird eine Bibliothek standardisierter Steuerungsbausteine entwickelt.   The effect of harmonic distortions triggered by frequency-controlled power electronics on energy consumption is non-negligible. These distortions increase when productivity-related accelerations and decelerations occur. A new control strategy has been developed. By increasing the fundamental oscillation ratio in the motor speed changing process, it is possible to increase energy efficiency by up to 20 %. A library model has been developed.

Analysis on the Effect Factors of the Passenger Transportation Energy Consumption Intensity

2013 ◽  
Vol 421 ◽  
pp. 910-916
Author(s):  
Xu Wu ◽  
Shuang Lang ◽  
Xiao Qing Guo
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Saving ◽  
Energy Intensity ◽  
Effect Factors ◽  
Transportation Energy ◽  
Complete Decomposition ◽  
Energy Saving Potential ◽  
Passenger Transportation ◽  
Consumption Intensity

This article proposes using passenger transportation energy intensity to measure the energy utility efficiency and energy-saving potential of the passenger transportation, uses the complete decomposition model to decompose the passenger transportation energy intensity from 1990 to 2007, and then investigate how various factors impact passenger transportation energy intensity. As is shown in the results, transportation structure increases passenger transportation energy intensity, while energy efficiency decreases it, however the decline is limited. Thus energy saving caused by adjustment of transportation structure is much more considerable.

scholarly journals Determination of Correct Lighting Based on Fuzzy Logic Model to Reduce Electricity in the Workplace

2020 ◽  
Author(s):  
Rahib Imamguluyev
Keyword(s):  
Energy Efficiency ◽  
Fuzzy Logic ◽  
Energy Consumption ◽  
New Technologies ◽  
Electricity Consumption ◽  
Logic Model ◽  
Energy Sources ◽  
Lighting System ◽  
Electricity Prices ◽  
Fuzzy Logic Model

Today, awareness of electrical systems is almost one of our main needs. Reducing our energy consumption by ensuring energy efficiency in such a widely used system provides savings that will affect the economy and the life of energy sources, both economically and in terms of energy efficiency. The difference between electricity generation and the amount of electricity required in the last few years has been a cause for concern. In recent years, due to the increase in electricity prices, the steering committees of various organizations have begun to consider various ways to reduce electricity prices, and in this regard, attention should be paid to the basic lighting system. By applying healing methods or using new technologies without reducing production and switching to more efficient use of energy. Improving energy efficiency is more economical than investing in new energy sources. Energy saving in lighting is to provide good lighting conditions without compromising the quality of light. It is possible to achieve the same level of lighting with energy consumption, as good lighting will be provided by more efficient lighting elements. With efficient lighting, there will be less electricity consumption and eye health will be protected. This article discusses the application of a lighting system based on a fuzzy logic model to reduce electricity costs in offices.

scholarly journals Rated Power Determination for Autonomous Micro Combined Heat and Power and Rechargeable Battery System

2020 ◽  
Vol 57 (6) ◽  
pp. 12-22
Author(s):  
A. Fedotov ◽  
G. Vagapov ◽  
L. Grackova ◽  
R. Abdullazyanov
Keyword(s):  
Energy Efficiency ◽  
Power Systems ◽  
Fossil Fuels ◽  
Synchronous Generator ◽  
Combined Heat And Power ◽  
Rechargeable Batteries ◽  
Large Power ◽  
Increase Energy Efficiency ◽  
Operation Process ◽  
Key Issues

AbstractAn autonomous micro combined heat and power (Micro-CHP) is usually installed to increase energy efficiency and reduce energy costs in areas remote from large power systems. The main goal of autonomous Micro-CHP is to provide residential and industrial areas with electricity and heat. By designing an autonomous Micro-CHP, one of the key issues is the determination of rated power, since the energy efficiency of equipment and the costs of fossil fuels depend on the rated power. The mathematical model can better calculate the necessary rated power for an autonomous Micro-CHP in the case of operation with rechargeable batteries. Overall, the results have shown that the engine characteristics, operation process of three-phase synchronous generator and statistical information on loads are the criteria for improving energy efficiency.

scholarly journals Current and Voltage Imbalances at BPTIK Universitas PGRI Semarang

2021 ◽  
Vol 3 (1) ◽  
pp. 0210104
Author(s):  
Margono Margono ◽  
Irna Farikhah
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Conservation ◽  
Neutral Current ◽  
Energy Audit ◽  
Current Development ◽  
Electrical Parameters ◽  
Increase Energy Efficiency ◽  
Current Voltage ◽  
Unbalanced Voltage

Energy conservation is an effort to increase energy efficiency. This research conducted an energy audit in the BPTIK (Badan Pengembangan Teknologi Informasi dan Komunikasi) department room at the Universitas PGRI Semarang, observing the value of electrical parameters, especially unbalanced voltage and current that have the potential to cause neutral currents. In this study the calculated unbalanced voltage value is 0.64% and unbalanced current is 20.25%. From the current development, the neutral current produces an average of 1.72 Amperes. From the value of the neutral current can be calculated the energy lost in the conductor neutral wire per day is about 0.01% of energy consumption by the load per day.Keywords: current, voltage, imbalance

EnergIT

2013 ◽  
Vol 4 (1) ◽  
pp. 83-111 ◽  
Author(s):  
Eugenio Capra ◽  
Paolo Cremonesi ◽  
Chiara Francalanci ◽  
Francesco Merlo ◽  
Nicola Parolini
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Data Centers ◽  
Cooling System ◽  
Increase Energy Efficiency ◽  
Incremental Approach ◽  
Flow Circulation ◽  
System 2 ◽  
Reduction Of Energy Consumption

Researches on green data centers have defined guidelines and end-to-end methodologies to increase energy efficiency. Most of these approaches require a disrupting reengineering of the infrastructure and significant upfront investments. Smaller data centers need to reach green objectives with a more incremental approach. The EnergIT project proposes a methodology and related tools that support the incremental redesign of data centers toward greater energy efficiency based on three main levers: 1) physical repositioning of servers to optimize air flow circulation and cooling, enabling higher set temperatures of the cooling system; 2) replacement of server models; and 3) virtualization. This paper describes the approach and provides evidence on the effectiveness of the methodology by showing how the combined effect of the three levers has led to 62% reduction of energy consumption in a real case study.

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