WAYS TO IMPROVE ENERGY EFFICIENCY IN CIVIL BUILDINGS

2021 ◽  
Vol 4 (2) ◽  
pp. 9-12
Author(s):  
Oybek G‘oyibov ◽  
◽  
Shaxram Xaydarov
Keyword(s):  
Energy Efficiency ◽  
Temperature Field ◽  
Fuel Consumption ◽  
Thermal Characteristics ◽  
Outer Wall ◽  
Primary Energy ◽  
Innovative Technologies ◽  
Improve Energy Efficiency ◽  
Resource Material ◽  
Unconventional Resource

As a result of theoretical and experimental experiments carried out in this research paper, specificaspects of the temperature field in the parts of the canopy in terms of the thermal characteristics of its outer wall for improving energy efficiency in civil buildings are determined. Also, taking into account the fact that there is currently an increased demand for energy in buildings, it is advisable to use new innovative technologies. Therefore, this conducted experiment gave a positive result.Keywords:heat, insulation, ventilation, primary energy, external barriers, reserve, unconventional, resource, material, capacity, demand, fuel, consumption, air, indicator

Ship Energy Efficiency Management Requires a Total Solution Approach

2013 ◽  
Vol 47 (1) ◽  
pp. 83-95 ◽  
Author(s):  
Philip J. Ballou
Keyword(s):  
Energy Efficiency ◽  
Fuel Consumption ◽  
Health And Safety ◽  
Operating Efficiency ◽  
Management Tools ◽  
Solution Approach ◽  
Improve Energy Efficiency ◽  
Slow Steaming ◽  
Transit Times ◽  
Multiple Metrics

AbstractShip and fleet operating efficiencies are multifaceted and interdependent. As such, efficiency management must involve an integrated solution that extends across the entire operation of the fleet. No single metric can be used to indicate success or failure of improving overall efficiency. Rather, a comparative analysis of multiple metrics is required. Furthermore, to be viable, efficiency management must accommodate operating priorities, goals, and constraints. Technology to save fuel and reduce carbon footprint is only useful if critical mission objectives are also met. Most ships can reduce fuel consumption simply by slowing down, albeit at the expense of increased passage duration. Tactical objectives that require fast transit times or reliable just-in-time arrival may justify the associated increase in fuel consumption. Ship operators fulfilling those objectives must look for ways other than slow steaming to improve energy efficiency, including, for example, deployment optimization, smart voyage planning, and onboard energy management. Other key metrics associated with operating efficiency include health and safety of crew and cargo, ship life cycle costs, and unscheduled time in port. Through strategic application of multiple efficiency management tools, these costs may be maintained or reduced while supporting the operational objectives and constraints of ship, fleet, and operator. All of these aspects of ship and fleet operating efficiency may be quantitatively compared to previous baselines using objective benchmarking methodologies.

scholarly journals Survey of Green Radio Communications Networks: Techniques and Recent Advances

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Mohammed H. Alsharif ◽  
Rosdiadee Nordin ◽  
Mahamod Ismail
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Cellular Networks ◽  
Multiple Input Multiple Output ◽  
Primary Energy ◽  
Base Station ◽  
Radio Communications ◽  
Improve Energy Efficiency ◽  
Advantages And Disadvantages ◽  
Green Radio

Energy efficiency in cellular networks has received significant attention from both academia and industry because of the importance of reducing the operational expenditures and maintaining the profitability of cellular networks, in addition to making these networks “greener.” Because the base station is the primary energy consumer in the network, efforts have been made to study base station energy consumption and to find ways to improve energy efficiency. In this paper, we present a brief review of the techniques that have been used recently to improve energy efficiency, such as energy-efficient power amplifier techniques, time-domain techniques, cell switching, management of the physical layer through multiple-input multiple-output (MIMO) management, heterogeneous network architectures based on Micro-Pico-Femtocells, cell zooming, and relay techniques. In addition, this paper discusses the advantages and disadvantages of each technique to contribute to a better understanding of each of the techniques and thereby offer clear insights to researchers about how to choose the best ways to reduce energy consumption in future green radio networks.

Policy measures to improve energy efficiency in russian buildings: Forecast up to 2050

2016 ◽  
pp. 75-98 ◽  
Author(s):  
I. Bashmakov
Keyword(s):  
Energy Efficiency ◽  
Energy Use ◽  
Primary Energy ◽  
Economic Benefits ◽  
Additional Energy ◽  
Improve Energy Efficiency ◽  
Efficiency Measures ◽  
Housing Services ◽  
Policy Measures ◽  
Energy Efficiency Policies

The article presents a long-term forecast of costs and benefits associated with the implementation of additional energy efficiency policies in Russian buildings. In Russia, buildings are directly and indirectly responsible for 38% of primary energy use; at the same time, they have a large energy efficiency potential. The 10 assessed scenarios of implementing packages of policy measures to improve energy efficiency illustrate that it is possible to halve fossil fuel use while providing energy services to the buildings stock which is expected to double by 2050. Additional benefits are considered, such as reduced greenhouse gas emissions and air pollution and improved indoor comfort, employment growth, improved affordability of housing services for both residents and the public sector. The paper estimates the costs and economic benefits of the implementation of energy efficiency measures and policies in the buildings sector. It shows that a new model of economic growth in Russia should be based on improving the overall economic efficiency, including energy efficiency.

scholarly journals Enhanced Dragonfly Algorithm based K-Medoid Clustering Model for VANET

2021 ◽  
Vol 3 (1) ◽  
pp. 50-59
Author(s):  
Joy Iong Zong Chen ◽  
Hengjinda P
Keyword(s):  
Energy Efficiency ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Simulation Analysis ◽  
Optimization Technique ◽  
Primary Energy ◽  
Node Mobility ◽  
Dragonfly Algorithm ◽  
Improve Energy Efficiency ◽  
Clustering Model

A VANET or vehicular Ad Hoc Network is known for its fast topology transition and node mobility, contributing to its attributes as an ad hoc network. The aspect of gathering the nodes, making this system extremely vigorous is known as clustering. However, in certain cases, it is not possible to keep track of the nodes which will results in network issues due to energy insufficiency during execution. Hence this will lead to primary energy management problems faced during the routing protocol which take into consideration the node lifetime. To address this discrepancy, we have proposed a novel optimization technique based on clustering. It has been observed that the proposed methodology will further improve the effectiveness of V2V communication. In this paper, clustering of the vehicle nodes is done using K-Medoid clustering model and are then used to improve energy efficiency. A metaheuristic algorithm is used to establish an energy efficient communication methodology. Based on the simulation analysis performed, it is seen that this methodology requires lesser execution time and improves the nodes’ energy efficiency.

scholarly journals Evaluating the Dynamic Energy Production Efficiency in APEC Economies

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4343
Author(s):  
Dan Wu ◽  
Ching-Cheng Lu ◽  
Xiang Chen ◽  
Pei-Chieh Tu ◽  
An-Chi Yang ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Fuel Consumption ◽  
Co2 Emissions ◽  
Capital Stock ◽  
Production Efficiency ◽  
Fossil Fuel ◽  
Asia Pacific ◽  
Energy Investment ◽  
Improve Energy Efficiency ◽  
Fossil Fuel Consumption

This study introduces the translation adjustment model of Seiford and Zhu (2002) into dynamic DEA models to measure and analyze the dynamic energy efficiency of Asia-Pacific Economic Cooperation (APEC) economies from 2010 to 2014. The APEC economies are divided into annual energy and overall energy efficiency ratings, and improvement directions are proposed for the different variables. With the proposal of magnitude, this study discusses the changes in intertemporal conversion variables and proposes suggestions for improvement. Finally, this study analyzes the implications of energy investment and the efficiency policies of APEC economies. The results show that economies with the lowest overall energy efficiency ratings have great potential for improvement. Reducing capital stock, labor, fossil fuel consumption, and CO2 emissions while increasing GDP can increase energy efficiency ratings. However, economies do not want to reduce the state’s capital stock, and labor and population birth adjustments are difficult. Energy efficiency can only start by adjusting the consumption of fossil fuels, CO2 emissions, and GDP. The results indicate that to improve energy efficiency and reduce fossil fuel consumption and CO2 emissions, economies are expected to increase their GDP unless they enact cuts through policy and technical approaches, appropriately adjust their energy policies, and actively develop new energy technologies to effectively reduce CO2 emissions and achieve optimal energy efficiency.

scholarly journals Improve Energy Efficiency in Surface Mines Using Artificial Intelligence

2021 ◽  
Author(s):  
Ali Soofastaei ◽  
Milad Fouladgar
Keyword(s):  
Artificial Intelligence ◽  
Energy Efficiency ◽  
Fuel Consumption ◽  
Greenhouse Gas Emission ◽  
Surface Mining ◽  
Effective Parameters ◽  
Improve Energy Efficiency ◽  
Surface Mines ◽  
Mine Sites ◽  
Haul Truck

This chapter demonstrates the practical application of artificial intelligence (AI) to improve energy efficiency in surface mines. The suggested AI approach has been applied in two different mine sites in Australia and Iran, and the achieved results have been promising. Mobile equipment in mine sites consumes a massive amount of energy, and the main part of this energy is provided by diesel. The critical diesel consumers in surface mines are haul trucks, the huge machines that move mine materials in the mine sites. There are many effective parameters on haul trucks’ fuel consumption. AI models can help mine managers to predict and minimize haul truck energy consumption and consequently reduce the greenhouse gas emission generated by these trucks. This chapter presents a practical and validated AI approach to optimize three key parameters, including truck speed and payload and the total haul road resistance to minimize haul truck fuel consumption in surface mines. The results of the developed AI model for two mine sites have been presented in this chapter. The model increased the energy efficiency of mostly used trucks in surface mining, Caterpillar 793D and Komatsu HD785. The results show the trucks’ fuel consumption reduction between 9 and 12%.

scholarly journals Are Cross-Border Classes Feasible for Students to Collaborate in the Analysis of Energy Efficiency Strategies for Socioeconomic Development While Keeping CO2 Concentration Controlled?

2021 ◽  
Vol 13 (3) ◽  
pp. 1584
Author(s):  
Roberto Araya ◽  
Pedro Collanqui
Keyword(s):  
Energy Efficiency ◽  
Socioeconomic Development ◽  
Concept Maps ◽  
Research Question ◽  
Co2 Concentration ◽  
Asia Pacific ◽  
School Students ◽  
Improve Energy Efficiency ◽  
Cross Border ◽  
Science Classes

Education is critical for improving energy efficiency and reducing CO2 concentration, but collaboration between countries is also critical. It is a global problem in which we cannot isolate ourselves. Our students must learn to collaborate in seeking solutions together with others from other countries. Thus, the research question of this study is whether interactive cross-border science classes with energy experiments are feasible and can increase awareness of energy efficiency among middle school students. We designed and tested an interactive cross-border class between Chilean and Peruvian eighth-grade classes. The classes were synchronously connected and all students did experiments and answered open-ended questions on an online platform. Some of the questions were designed to check conceptual understanding whereas others asked for suggestions of how to develop their economies while keeping CO2 air concentration at acceptable levels. In real time, the teacher reviewed the students’ written answers and the concept maps that were automatically generated based on their responses. Students peer-reviewed their classmates’ suggestions. This is part of an Asia-Pacific Economic Cooperation (APEC) Science Technology Engineering Mathematics (STEM) education project on energy efficiency using APEC databases. We found high levels of student engagement, where students discussed not only the cross-cutting nature of energy, but also its relation to socioeconomic development and CO2 emissions, and the need to work together to improve energy efficiency. In conclusion, interactive cross-border science classes are a feasible educational alternative, with potential as a scalable public policy strategy for improving awareness of energy efficiency among the population.

scholarly journals Dimensionless Analysis on the Characteristics of Pneumatic Booster Valve with Energy Recovery

2016 ◽  
Vol 2016 ◽  
pp. 1-13
Author(s):  
Fan Yang ◽  
Kotaro Tadano ◽  
Gangyan Li ◽  
Toshiharu Kagawa
Keyword(s):  
Mathematical Model ◽  
Energy Efficiency ◽  
Energy Recovery ◽  
Operational Parameters ◽  
Local Pressure ◽  
Air Power ◽  
Improve Energy Efficiency ◽  
Dimensionless Analysis ◽  
Air Supply ◽  
Save Energy

Factories are increasingly reducing their air supply pressures in order to save energy. Hence, there is a growing demand for pneumatic booster valves to overcome the local pressure deficits in modern pneumatic systems. To further improve energy efficiency, a new type of booster valve with energy recovery (BVER) is proposed. The BVER principle is presented in detail, and a dimensionless mathematical model is established based on flow rate, gas state, and energy conservation. The mathematics model was transformed into a dimensionless model by accurately selecting the reference values. Subsequently the dimensionless characteristics of BVER were found. BVER energy efficiency is calculated based on air power. The boost ratio is found to be mainly affected by the operational parameters. Among the structural ones, the recovery/boost chamber area ratio and the sonic conductance of the chambers are the most influential. The boost ratio improves by 15%–25% compared to that of a booster valve without an energy recovery chamber. The efficiency increases by 5%–10% depending on the supply pressure. A mathematical model is validated by experiment, and this research provides a reference for booster valve optimisation and energy saving.

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