Influence of Climatic Conditions of Russia and the Countries of the Near East on Lighting Equipment

2018 ◽  
pp. 76-80
Author(s):  
Dmitry N. Ermakov ◽  
Oleg Yu. Kazenkov ◽  
Ravil K. Khusnulin
Keyword(s):  
Energy Consumption ◽  
Middle East ◽  
Construction Industry ◽  
Western Europe ◽  
Rapid Development ◽  
Minimum Energy ◽  
Climatic Conditions ◽  
Industrial Countries ◽  
Minimum Energy Consumption ◽  
Light Supply

The digital economy assumes an increase in the role and importance of the lighting engineering science in the industrial countries. Nowadays, the development of a country is largely characterized by its “light supply” with minimum energy consumption. In modern Western Europe, for example, it is impossible to separate climate protection policies from energy policy. In the countries of the Middle East, there is a rapid development of the construction industry as many residential and public buildings are being built, and energy consumption issues are acute. The article studies the influence of the light climate of Russia and the countries of the Middle East on the development of construction lighting equipment, which enables to optimize energy consumption, create comfortable working and leisure conditions.

scholarly journals Estimating the Efficiency of Anti - Erosion Agricultural

1970 ◽  
Vol 66 (2) ◽  
Author(s):  
Petru CARDEI ◽  
Constantin COTA ◽  
Cornelia MURARU-IONEL ◽  
Raluca SFARU
Keyword(s):  
Energy Consumption ◽  
Storage Capacity ◽  
Minimum Energy ◽  
Calculation Model ◽  
Climatic Conditions ◽  
Low Energy ◽  
Method Of Calculation ◽  
Minimum Energy Consumption ◽  
Low Energy Consumption ◽  
Sediment Profiles

The efficiency of the anti - erosion agricultural operations is one of the main objectives of the designers for machinery and soil working tools on slopes. Mathematical modelling that using a systemic approach of the phenomena and processes and realistic assumptions, allows the optimum constructive-functional parameters for soil working tools, in order to achieve a properly working with low energy consumption. Storage capacity of the sediment profiles achieved by ground shaping is properly estimated according to the geo - climatic conditions of the area. Previous researches (Cardei, Cota, 2008) led to the establishment of a calculation model in this respect. The method of calculation for choosing the geometry of profiles is the application of the final investigations, in conditions to assure a satisfactory storage capacity of sediments and a minimum energy consumption for the soil working processes.

scholarly journals Optimization of Energy-Efficient Speed Profile for Electrified Vehicles

2018 ◽  
Author(s):  
Hadi Abbas ◽  
Youngki Kim ◽  
Jason B. Siegel ◽  
Denise M. Rizzo
Keyword(s):  
Energy Consumption ◽  
Energy Efficient ◽  
Minimum Energy ◽  
Efficient Operation ◽  
Operating Modes ◽  
Minimum Energy Consumption ◽  
System A ◽  
Trip Time ◽  
Route Information

This paper presents a study of energy-efficient operation of vehicles with electrified powertrains leveraging route information, such as road grades, to adjust the speed trajectory. First, Pontryagin’s Maximum Principle (PMP) is applied to derive necessary conditions and to determine the possible operating modes. The analysis shows that only 5 modes are required to achieve minimum energy consumption; full propulsion, cruising, coasting, full regeneration, and full regeneration with conventional braking. The minimum energy consumption problem is reformulated and solved in the distance domain using Dynamic Programming to optimize speed profiles. A case study is shown for a light weight military robot including road grades. For this system, a tradeoff between energy consumption and trip time was found. The optimal cycle uses 20% less energy for the same trip duration, or could reduce the travel time by 14% with the same energy consumption compared to the baseline operation.

scholarly journals A Q-Learning Rescheduling Approach to the Flexible Job Shop Problem Combining Energy and Productivity Objectives

2021 ◽  
Vol 13 (23) ◽  
pp. 13016
Author(s):  
Rami Naimi ◽  
Maroua Nouiri ◽  
Olivier Cardin
Keyword(s):  
Artificial Intelligence ◽  
Energy Consumption ◽  
Job Shop ◽  
Learning Algorithm ◽  
Minimum Energy ◽  
Flexible Job Shop ◽  
Q Learning ◽  
Minimum Energy Consumption ◽  
Machine Failure ◽  
Flexible Job Shop Problem

The flexible job shop problem (FJSP) has been studied in recent decades due to its dynamic and uncertain nature. Responding to a system’s perturbation in an intelligent way and with minimum energy consumption variation is an important matter. Fortunately, thanks to the development of artificial intelligence and machine learning, a lot of researchers are using these new techniques to solve the rescheduling problem in a flexible job shop. Reinforcement learning, which is a popular approach in artificial intelligence, is often used in rescheduling. This article presents a Q-learning rescheduling approach to the flexible job shop problem combining energy and productivity objectives in a context of machine failure. First, a genetic algorithm was adopted to generate the initial predictive schedule, and then rescheduling strategies were developed to handle machine failures. As the system should be capable of reacting quickly to unexpected events, a multi-objective Q-learning algorithm is proposed and trained to select the optimal rescheduling methods that minimize the makespan and the energy consumption variation at the same time. This approach was conducted on benchmark instances to evaluate its performance.

From Construction to Operation: Achieving Indoor Thermal Comfort via Altering External Walls Specifications in Egypt

2013 ◽  
Vol 689 ◽  
pp. 250-253 ◽  
Author(s):  
Mohamed M. Mahdy ◽  
Marialena Nikolopoulou
Keyword(s):  
Energy Consumption ◽  
Thermal Comfort ◽  
Natural Ventilation ◽  
Minimum Energy ◽  
Residential Energy ◽  
Indoor Thermal Comfort ◽  
Minimum Energy Consumption ◽  
Different Types ◽  
Running Cost ◽  
The Cost

The objective of this research is to study the effect of using different material specifications for the external walls on the cost of the energy consumption for achieving internal thermal comfort. We refer to this as operation running cost, which in turn is compared to initial construction cost for each type of the used external walls. In order to achieve this objective, dynamic thermal simulation were carried out for four different types of external walls – commonly used in Egypt – in two different sets of cooling: natural ventilation and mechanical means. Experiments recommend that using the Egyptian Residential Energy Code (EREC) to achieve inner thermal comfort with the minimum energy consumption (consequently the minimum CO2 emissions) and the minimum running cost as well.

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