scholarly journals ACCOUNTING FOR THE INFLUENCE OF THE BUILDING SHAPE ON ITS ENERGY EFFICIENCY

Author(s):  
M.V. Rubtsova ◽  
◽  
Е.Е. Semenova

The influence of building plan configurations in relation to their spatial characteristics on their energy consumption is considered. The article substantiates the relevance of the research of space-planning solutions of building forms, taking into account energy efficiency. As the object of research, the authors selected the most common three-dimensional configurations of building forms, taking into account energy efficiency. Examples of the analysis of the main space-planning parameters of the building and the prerequisites for their influence on its heat loss are considered with the provided graphic materials that allow you to find out the dependence of the change in the area of enclosing structures on the change in the floor area. This comparison is carried out in order to determine an energy-efficient and rationally arranged space-planning solution, taking into account the principles of energy saving for the construction of buildings.

2014 ◽  
Vol 587-589 ◽  
pp. 287-293 ◽  
Author(s):  
Anastasiia Sergeevna Fidrikova ◽  
Olga Sergeevna Grishina ◽  
Alexey Pavlovich Marichev ◽  
Xeniya Mikhailovna Rakova

Reduction of the costs in the operation of the building, due to energy-saving technologies, is a priority in the construction today. This article discusses some ways to reduce energy consumption of schools in hot climates such as the installation of solar collectors, using of triple-glazed windows and modern insulating materials. These methods of energy reduction are determined by the selected space-planning solutions, constructive features of the structure, financial possibilities and climatic conditions. Considering these above listed characteristics, the school was designed for the class A of energy efficiency.[1-4]


2013 ◽  
Vol 303-306 ◽  
pp. 1460-1464
Author(s):  
Jian Li Pan ◽  
Shan Zhi Chen ◽  
Raj Jain ◽  
Subharthi Paul

Building environments are significant sources of global energy consumption. To create energy efficient buildings, the first step is to sense and monitor all the energy-consuming appliances in the buildings and record all the energy consumption information. After that, appropriate energy saving policies can be decided and the instructions can be sent to the control devices to apply the energy saving adjustments. To do that, in-building two-way communication networks are needed to connect all the sensors to collect information as well as to send control instructions. However, most of the current devices are provided by separate manufacturers and with separate network infrastructures and so there is not much integration and interaction among different subsystems. In this paper, we envision a new energy sensing and monitoring framework with integrated communication backbone in the intelligent building environments. Specifically, through comprehensive comparisons and investigations, we study different candidate communicating media and protocols like wireline, wireless, and power-line communications technologies that potentially can be used in the intelligent buildings to realize the goals of coordination, integration, and energy efficiency. Also, we propose an extension "smart box" for integration of the devices before the maturity of the standardization process. Cloud computing and smart phone technologies are also introduced to realize the goals of improving energy efficiency and promote global sustainability.


2012 ◽  
Vol 462 ◽  
pp. 348-352
Author(s):  
Jung Mee Yun ◽  
Dae Hwan Kim

Recent studies have shown that the Internet-related energy consumption represents a significant, and increasing, part of the overall energy consumption of our society. Therefore, it is extremely important to look for energy-efficient Internet applications and protocols. For EPON, research on the development of protocols for higher energy efficiency at the PHY/MAC layers and the enactment of standards, and the improvement of energy efficiency of EPON devices is being conducted, while for networking equipment such as routers and switches and IDCs, research on saving the energy consumed by devices and the management of energy efficiency using power monitoring, cooling devices and metering technologies is being conducted. Against this backdrop, this study is aimed to develop methodology for the improvement of network energy efficiency in existing home/ small and medium-sized office network environments and to develop, test and evaluate an energy saving prototype for Convergence Adaptor


2018 ◽  
Vol 11 (1) ◽  
pp. 179 ◽  
Author(s):  
Zhongwei Zhang ◽  
Lihui Wu ◽  
Tao Peng ◽  
Shun Jia

Nowadays, manufacturing industry is under increasing pressure to save energy and reduce emissions, and thereby enhancing the energy efficiency of the machining system (MS) through operational methods on the system-level has attracted more attention. Energy-efficient scheduling (ES) has proved to be a typical measure suitable for all shop types, and an energy-efficient mechanism that a machine can be switched off and back on if it waits for a new job for a relatively long period is another proven effective energy-saving measure. Furthermore, their combination has been fully investigated in a single machine, flow shop and job shop, and the improvement in energy efficiency is significant compared with only applying ES for MS. However, whether such two energy-saving measures can be integrated in a flexible job shop environment is a gap in the existing study. To address this, a scheduling method applying an energy-efficient mechanism is proposed for a flexible job shop environment and the corresponding mathematical model, namely the energy-efficient flexible job shop scheduling (EFJSS) model, considering total production energy consumption (EC) and makespan is formulated. Besides, transportation as well as its impact on EC is taken into account in this model for practical application. Furthermore, a solution approach based on the non-dominated sorting genetic algorithm-II (NSGA-II) is adopted, which can avoid the interference of subjective factors and help select a suitable machine for each operation and undertake rational operation sequencing simultaneously. Moreover, experimental results confirm the validity of the improved energy-efficient scheduling approach in a flexible job shop environment and the effectiveness of the solution.


2015 ◽  
Vol 8 (1) ◽  
pp. 206-210 ◽  
Author(s):  
Yu Junyang ◽  
Hu Zhigang ◽  
Han Yuanyuan

Current consumption of cloud computing has attracted more and more attention of scholars. The research on Hadoop as a cloud platform and its energy consumption has also received considerable attention from scholars. This paper presents a method to measure the energy consumption of jobs that run on Hadoop, and this method is used to measure the effectiveness of the implementation of periodic tasks on the platform of Hadoop. Combining with the current mainstream of energy estimate formula to conduct further analysis, this paper has reached a conclusion as how to reduce energy consumption of Hadoop by adjusting the split size or using appropriate size of workers (servers). Finally, experiments show the effectiveness of these methods as being energy-saving strategies and verify the feasibility of the methods for the measurement of periodic tasks at the same time.


Author(s):  
Xingzheng Chen ◽  
Congbo Li ◽  
Ying Tang ◽  
Li Li ◽  
Hongcheng Li

AbstractMechanical manufacturing industry consumes substantial energy with low energy efficiency. Increasing pressures from energy price and environmental directive force mechanical manufacturing industries to implement energy efficient technologies for reducing energy consumption and improving energy efficiency of their machining processes. In a practical machining process, cutting parameters are vital variables set by manufacturers in accordance with machining requirements of workpiece and machining condition. Proper selection of cutting parameters with energy consideration can effectively reduce energy consumption and improve energy efficiency of the machining process. Over the past 10 years, many researchers have been engaged in energy efficient cutting parameter optimization, and a large amount of literature have been published. This paper conducts a comprehensive literature review of current studies on energy efficient cutting parameter optimization to fully understand the recent advances in this research area. The energy consumption characteristics of machining process are analyzed by decomposing total energy consumption into electrical energy consumption of machine tool and embodied energy of cutting tool and cutting fluid. Current studies on energy efficient cutting parameter optimization by using experimental design method and energy models are reviewed in a comprehensive manner. Combined with the current status, future research directions of energy efficient cutting parameter optimization are presented.


2021 ◽  
Vol 58 (02) ◽  
pp. 192-203
Author(s):  
Padam Singh ◽  
T. P. Singh ◽  
Rajat Kumar Sharma ◽  
Yogesh Kumar Negi ◽  
Ramesh Pal

Pine needle is a typical biomass which is abundantly available in Uttarakhand hills. This shredded biomass contributes significantly in forest fire occurring regularly in Uttarakhand. Different energy harnessing routes as direct combustion, anaerobic digestion, pyrolysis, gasification, and briquetting for pine needle were reviewed. These routes were further compared on the basis of energy consumption and energy efficiency of the processes as per the available literature. The review suggested that briquetting of pine needle and its anaerobic digestion are two most energy efficient methods having energy efficiency of 88% and 41.6%, respectively. The estimated energy required for briquetting of 1 ton pine needle was 1370.5 MJ, whereas for gasification it was 1170 MJ


2021 ◽  
Vol 11 (4) ◽  
pp. 42-58
Author(s):  
Semab Iqbal ◽  
Israr Hussain ◽  
Zubair Sharif ◽  
Kamran Hassan Qureshi ◽  
Javeria Jabeen

Despite the fact that the ocean plays a role in everything from the air we breathe to daily weather and climate patterns, we know very little about our ocean. Underwater wireless sensor network (UWSN) is one of the options helping us to discover some domains such as natural assets and underwater resource exploration. However, the acoustic signal is the only suitable option in underwater communication in the absence of radio waves, which face a number of challenges under this environment. To overcome these issues, many routing schemes are introduced by researchers though energy consumption is still a challenge in underwater communication. To overcome the issue of rapid energy consumption, a reliable and energy-efficient routing method is introduced that avoids the redundant forwarding of data; hence, it achieves energy efficiency and eventually prolongs the network lifetime. Simulation results support the claim that the proposed scheme achieves energy efficiency along higher delivery ratio by reducing the data transmission error rate during the routing decisions.


Author(s):  
Ivan M. Gryshchenko ◽  
Mykhailo O. Verhun ◽  
Andrii S. Prokhorovskyi

This article attempts to verify the relevance of building a network of energy knowledge hub centres to tackle the priority objective in enhancing energy efficiency and energy saving management in higher education institutions. It is emphasized that the issues of careful and wise use of fuels and energy resources challenge more government efforts, active use of advanced projects to manage energy saving and energy efficiency through the integrated use of different energy sources. The study argues that to identify the potential for energy saving, setting regulatory indicators of energy consumption, determining the key energy saving measures and target objects in the public sector where energy saving programs are planned to be implemented, there is a need to conduct energy surveys with further developing of energy passports for buildings. In the frameworks of this study, the following research methods were used: abstract and logical analysis – to interpret the essence of energy saving concepts for universities; systemic approach – to identify the specifics of energy saving projects implementation in universities; in-depth analysis and synthesis – to forecast the university development priority area of the "Energy efficiency and energy saving"; system, structural, comparative and statistical analyses – to assess the energy consumption in universities; economic and statistical methods – to evaluate the level and the dynamics of the energy sources use before and after the implementation of project activities; graph-based and analytical methods – to facilitate visual representation and schematic presentation of forecasts for further development of energy efficiency and energy saving systems. The study offers a mechanism to shape a network of energy knowledge hub centres to forecast a priority development area of energy efficiency and energy saving programs in higher education institutions along with providing an overview on the process of energy saving based on energy knowledge hub centres by carrying out the following tasks: project identification, scanning, energy audit, implementation of an action plan, and monitoring. It has been verified that to enhance the energy supply system in the university buildings, the following objectives should be attained: using the energy knowledge hub to forecast the university energy efficiency and energy saving programme, implementing an automated individual heating station with weather regulation and installing new radiator heaters.


Author(s):  
Vijendra Babu D. ◽  
K. Nagi Reddy ◽  
K. Butchi Raju ◽  
A. Ratna Raju

A modern wireless sensor and its development majorly depend on distributed condition maintenance protocol. The medium access and its computing have been handled by multi hope sensor mechanism. In this investigation, WSN networks maintenance is balanced through condition-based access (CBA) protocol. The CBA is most useful for real-time 4G and 5G communication to handle internet assistance devices. The following CBA mechanism is energy efficient to increase the battery lifetime. Due to sleep mode and backup mode mechanism, this protocol maintains its energy efficiency as well as network throughput. Finally, 76% of the energy consumption and 42.8% of the speed of operation have been attained using CBI WSN protocol.


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