Energy-Saving and Economic Study of Natural Ventilation in City Tunnel

2012 ◽  
Vol 178-181 ◽  
pp. 92-97 ◽  
Author(s):  
Jin Feng Mao ◽  
Yu Liang Huang ◽  
Jun Zhou ◽  
Zhe Li Xing
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Natural Ventilation ◽  
Economic Study ◽  
Equipment Investment ◽  
Longitudinal Ventilation ◽  
Highway Tunnel ◽  
Tunnel Design ◽  
Total Investment ◽  
Reduce Energy Consumption

City highway tunnel ventilation design is one of the key processes in whole tunnel design. The ventilation design has important influence in ventilation sanitation effect, equipment investment, operations energy consumption and operations cost. On the premise of safety and sanitation, if city tunnel adopts natural ventilation, this can reduce energy consumption, construction cost and operations cost. Combining practical conditions of a project, this paper evaluated three kinds of mechanical ventilation, and analyzed contrastively economic efficiency of the natural ventilation and the jet longitudinal ventilation. At last drew the conclusion that the natural ventilation can reduce the total investment by 30% and has obvious energy-saving efficiency, then put forward the pertinent suggestions to the ventilation construction of highway tunnel.

The Research of Measuring Approach and Energy Efficiency for Hadoop Periodic Jobs

2015 ◽  
Vol 8 (1) ◽  
pp. 206-210 ◽  
Author(s):  
Yu Junyang ◽  
Hu Zhigang ◽  
Han Yuanyuan
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Energy Consumption ◽  
Energy Saving ◽  
Energy Estimate ◽  
Cloud Platform ◽  
Periodic Tasks ◽  
Current Consumption ◽  
Reduce Energy Consumption

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.

An intelligent system for energy management in smart cities based on big data and ontology

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zaoui Sayah ◽  
Okba Kazar ◽  
Brahim Lejdel ◽  
Abdelkader Laouid ◽  
Ahmed Ghenabzia
Keyword(s):  
Big Data ◽  
Energy Consumption ◽  
Energy Saving ◽  
Intelligent System ◽  
Smart Cities ◽  
Semantic Integration ◽  
Saving Energy ◽  
Content Type ◽  
Multi Agent ◽  
Reduce Energy Consumption

PurposeThis research paper aims at proposing a framework based on semantic integration in Big Data for saving energy in smart cities. The presented approach highlights the potential opportunities offered by Big Data and ontologies to reduce energy consumption in smart cities.Design/methodology/approachThis study provides an overview of semantics in Big Data and reviews various works that investigate energy saving in smart homes and cities. To reach this end, we propose an efficient architecture based on the cooperation between ontology, Big Data, and Multi-Agent Systems. Furthermore, the proposed approach shows the strength of these technologies to reduce energy consumption in smart cities.FindingsThrough this research, we seek to clarify and explain both the role of Multi-Agent System and ontology paradigms to improve systems interoperability. Indeed, it is useful to develop the proposed architecture based on Big Data. This study highlights the opportunities offered when they are combined together to provide a reliable system for saving energy in smart cities.Practical implicationsThe significant advancement of contemporary applications (smart cities, social networks, health care, IoT, etc.) requires a vast emergence of Big Data and semantics technologies in these fields. The obtained results provide an improved vision of energy-saving and environmental protection while keeping the inhabitants’ comfort.Originality/valueThis work is an efficient contribution that provides more comprehensive solutions to ontology integration in the Big Data environment. We have used all available data to reduce energy consumption, promote the change of inhabitant’s behavior, offer the required comfort, and implement an effective long-term energy policy in a smart and sustainable environment.

Research and Discussion on Energy-Saving of Existing Buildings in Northwest of Liaoning Province

2012 ◽  
Vol 178-181 ◽  
pp. 221-224
Author(s):  
Ya Jun Wu ◽  
Yu Ma
Keyword(s):  
Energy Consumption ◽  
Energy Conservation ◽  
Energy Saving ◽  
Working Environment ◽  
Liaoning Province ◽  
Existing Buildings ◽  
Cold Regions ◽  
The Status ◽  
Reduce Energy Consumption

Abstract. In view of the status of existing buildings in northwest of Liaoning, most of which are lack of energy-saving practices and appear poor comfort, this paper starts from the energy saving concept, aims at figuring out the energy saving measures for cold regions, such as northwest of Liaoning province. The research includes analyzing energy-saving methods, steps and initiatives. Based on these, this paper also proposes specific technical practices to overcome the shortcomings of the existing buildings on energy conservation, and gives advices on how to reduce energy consumption and improve the quality of people’s living and working environment.

scholarly journals THERMAL INSULATION IN ENERGY-SAVING TECHNOLOGIES IN CONSTRUCTION

2018 ◽  
Vol 1 (12) ◽  
pp. 227-230 ◽  
Author(s):  
Yan Starcev ◽  
Tamara Filippova
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Construction Industry ◽  
Thermal Insulation ◽  
Environmental Problem ◽  
Living Conditions ◽  
Main Aspect ◽  
Global Environmental ◽  
The World ◽  
Reduce Energy Consumption

The article discusses the importance of thermal insulation of building shells as the main aspect of energy saving in the construction industry and as one of the key elements in solving the global environmental problem of energy saving in the world, which leads to the need to reduce energy consumption to save the environment and living conditions of mankind.

scholarly journals The impact of building envelope retrofit measures on postwar MURBS in Toronto

2021 ◽  
Author(s):  
Sara Damyar
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Energy Use ◽  
Energy Savings ◽  
Building Envelope ◽  
Simulation Software ◽  
Energy Simulation ◽  
Reduce Energy Consumption ◽  
The Impact ◽  
Current Standards

Building envelope retrofits is one of the options available to reduce energy consumption of postwar MURBs in Toronto. This study evaluates the impact of building envelope retrofits that meet current standards on energy consumption of a Toronto postwar MURB; utilizing eQUEST energy simulation software. Further upgrades also take place to evaluate how the impact of building envelope retrofits on energy use can be increased and optimized for all assemblies of building envelope and airtightness. Moreover, the retrofit strategies are ranked based on cost and energy-saving effectiveness. The results of the analysis reveal that building envelope retrofit based on OBC-2012 standards can reduce the energy consumption by up to 44%. Furthermore, the optimal RSI values of all building envelope components were found to be equal or less than code requirements which outcomes significant energy savings. Lastly, the ranking of the strategies helps to identify the best option according to the priorities of a project.

scholarly journals Investigation of the Energy Saving Efficiency of a Natural Ventilation Strategy in a Multistory School Building

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1746 ◽  
Author(s):  
Beungyong Park ◽  
Sihwan Lee
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Natural Ventilation ◽  
Cfd Simulation ◽  
Ventilation System ◽  
Internal Heat ◽  
High Energy ◽  
Ventilation Strategy ◽  
Opening And Closing ◽  
Ventilation Rates

Under-ventilation and high energy consumption are some of the problems associated with school classrooms. Thus, it is necessary to develop a ventilation strategy that is characterized by high energy-saving and ventilation efficiency. To this end, this study aims to investigate natural ventilation as a possible strategy to improve the indoor environment while reducing ventilation loads and maintaining energy costs during intermediate seasons. Ventilation and cooling load reductions based on the opening and closing of several windows were analyzed. Window flow coefficients and ventilation rates were measured and used for computational fluid dynamics (CFD) simulation to obtain pressure coefficients for 16 wind directions. The results obtained showed that the improved natural ventilation strategy could be used to effectively establish required indoor conditions (26 °C, 60% RH). Additionally, compared with the mechanical ventilation system with variable refrigerant flow, this natural strategy resulted in a decrease in energy consumption of approximately 30%. However, its application requires that internal heat gain and CO2 emissions, which depend on human population density, as well as the room usage schedule should be considered.

Energy-saving parameterized design of buildings based on genetic algorithm

2020 ◽  
Vol 38 (5) ◽  
pp. 785-795 ◽  
Author(s):  
Kele Zhang
Keyword(s):  
Genetic Algorithm ◽  
Energy Consumption ◽  
Energy Conservation ◽  
Energy Saving ◽  
Natural Ventilation ◽  
Model Building ◽  
Building Energy ◽  
Building Energy Consumption ◽  
Content Type ◽  
Building Parameters

PurposeWith the problem of environment and energy becoming prominent, energy conservation and emission reduction have received more attention. In the using process, buildings not only have the inherent energy consumption but also have the energy consumption of equipment that is installed for improving the indoor environment. This study aims to investigate how to reduce the energy consumption of buildings through utilizing natural resources.Design/methodology/approachThis paper briefly introduces three objective functions in the building energy-saving model: building energy consumption, natural lighting and natural ventilation. Genetic algorithm was used to optimize the building parameters to achieve energy conservation and comfort improvement. Then a two-story rental building was analyzed.FindingsThe genetic algorithm converged to Pareto optimal solution set after 10,000 times of iterations, which took 61024 s. The lowest energy consumption of the scheme that was selected from the 70 optimal solutions was 5580 W/(m2K), the lighting coefficient was 5.56% and Pressure Difference Pascal Hours (PDPH) was 6453 h; compared with the initial building parameters, the building energy consumption reduced by 3.40%, the lighting coefficient increased by 11.65% and PDPH increased by 9.54%.Originality/valueIn short, the genetic algorithm can effectively optimize the energy-saving parameters of buildings.

Research and Simulation on the Energy-Saving Control Model of Large-Scale Intelligent Electromechanical Device

2014 ◽  
Vol 986-987 ◽  
pp. 1236-1239
Author(s):  
Yun Long Zhang
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Large Scale ◽  
Design Method ◽  
Control Process ◽  
Control Model ◽  
Consumption Energy ◽  
Electromechanical Device ◽  
Reduce Energy Consumption ◽  
Energy Saving Control

In energy-saving control process of large-scale-scale intelligent electromechanical device, it is need to consume non-essential energy. To reduce energy consumption, energy-saving design method is proposed based on adaptive linear genetic algorithms. According to theory of adaptive particle swarm optimization, optimal particle is searched in the global domain, which provides basis for energy-saving control of large-scale-scale intelligent electromechanical device. According to adaptive linear genetic theory, energy-saving control model of large-scale intelligent electromechanical device is built to complete energy-saving control. Experimental results show that algorithm can effectively reduce energy consumption and obtain satisfactory results.

Research on Energy Consumption Analysis Method Based on Improved Fuzzy Analytic Hierarchy Process (FAHP) in Iron and Steel Industry

2012 ◽  
Vol 490-495 ◽  
pp. 2396-2399
Author(s):  
Dong Qiu ◽  
Xiao Bo Wang ◽  
Ying Ying Fu
Keyword(s):  
Energy Consumption ◽  
Production Process ◽  
Energy Saving ◽  
Steel Industry ◽  
Production System ◽  
Iron And Steel Industry ◽  
Analytic Hierarchy ◽  
Iron And Steel ◽  
Reduce Energy Consumption ◽  
Hierarchy Process

The relations between production process and energy consumption are made an in-depth application analysis and theory study with theory of systematic energy-saving , technique of intelligence analysis and optimization based on the background of study on energy-saving and reduce energy consumption. Making intensive research on theories of systematic energy-saving and analyzed with function mechanism and quantitative relation of the main production system, auxiliary production system and energy conversion system. It put forward the energy flow direction and energy consumption in each production process and the influence of material flow on energy consumption in iron and steel industry. The sequence of all kinds of material influence comprehensive energy consumption per ton steel and energy quantitative target of all factors influence energy consumption are worked out with improved fuzzy AHP(Analytic Hierarchy Process) which study of comprehensive energy consumption in typical iron and steel production process from the point of system. It has great immediate significance to guide drawing the scientific plan of economy-saving and reduce energy consumption in iron and steel industry

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