A New Model for Energy-Saving in Cast Irons Production Introduced Technology Contribution

2011 ◽  
Vol 71-78 ◽  
pp. 2420-2423
Author(s):  
Dan Huang ◽  
Wu Zhao ◽  
Wei Ping Chen
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Analysis Model ◽  
Cast Irons ◽  
New Model ◽  
Yield Increase ◽  
Study Results ◽  
Technological Level ◽  
Lost Foam

A new model for energy-saving in cast irons production introduced technology contribution has been developed. According to the analysis model, in case of keeping same energy efficiency of device, the higher technological level increases, the easier the R increases; even if keep the same melting and heat treatment devices, significant reduction of production energy consumption would be implemented just depending on the production yield increase. A case study results show that technology measurements which has no direct effect on energy consumption play an important role in energy conservation, where the contribution rates of lost-foam casting and computer technology are 20% and 17%. The technological measurements play an important role in cast irons production which cannot be ignored.

scholarly journals Analysis of the electric energy consumption components for mine train traction

2019 ◽  
Vol 294 ◽  
pp. 01001 ◽  
Author(s):  
Serhii Arpul ◽  
Viktor Artemchuk ◽  
Mykola Babyak ◽  
Viacheslav Vasilyev ◽  
Hennadii Hetman ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Energy Intensity ◽  
Electric Energy ◽  
Rolling Stock ◽  
List Type ◽  
Opencast Mining ◽  
Study Results ◽  
Transportation Process ◽  
The Cost

The paper considers the issues of reducing the energy intensity of transportation at opencast mining enterprises, the relevance of which has now increased due to the rise in the cost of fuel and energy resources. It presents the study results concerning the cost structure of the electricity consumed by electric mine transport, which form the basis for the development of technical and operational measures to reduce the energy intensity of the transportation process. It is shown that the work to reduce the electricity consumption for mined rock transportation should be aimed at: Reduction of losses in the power circuits of the traction rolling stock due to the use of more advanced electric rolling stock and regulation of the degree of utilization of the installed traction power; Introduction of new contact materials for electrical circuits with the lowest possible resistivity, including for current collector plates; Introduction of measures to reduce energy consumption for power supply of auxiliary circuits; Development and implementation of rational train control techniques. The introduction of energy-saving measures should include the development and application of effective methods for calculating individual norms of energy consumption and incentives for energy saving of the employees involved in the organization of the transportation process.

Study on Energy-Saving Product Concept Design Based on TRIZ and Function Analysis

2010 ◽  
Vol 156-157 ◽  
pp. 123-126 ◽  
Author(s):  
Fu Ying Zhang ◽  
Hong Chao Zhang ◽  
Hui Zheng ◽  
Qing Qing Zhang
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Function Analysis ◽  
New Product ◽  
Concept Design ◽  
Energy And Environment ◽  
Product Concept ◽  
Product Function ◽  
And Function

The energy consumption and environmental impacts of a product are largely determined during concept design. It is the core for energy saving product development to integrate energy saving into product concept design process. In this paper, a framework for energy-saving product concept design based on TRIZ/function analysis is proposed, the energy flow chart is built based on the analysis of product function. By eliminating the harmful function associated with energy and environment, resolving the conflict parameter and attributes of components in energy and function, the new product that satisfy user needs while minimizing energy consumption is obtained. A case study is also presented to illustrate the effectiveness of the proposed design framework.

Regional Economic Growth and Carbon Emissions - A Case Study of Anhui Province

2013 ◽  
Vol 869-870 ◽  
pp. 1056-1062
Author(s):  
Xue Qin Wang ◽  
Cheng Xin Wang ◽  
Yun Wei Du ◽  
Jia Lu Shi
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Energy Saving ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Reduction Process ◽  
Anhui Province ◽  
Energy Structure ◽  
Analysis Model ◽  
Promotion Policy

This essay tends to probe into the decoupling relationship between economic growth and carbon emissions through structuring the decoupling analysis model. The results show that: In recent years, the decoupling relationship between economic growth and carbon emissions in Anhui province has improved. Through the research about some intermediate variables, we find that the change trend of energy consumption elastic elasticity of carbon emissions and the one of GDP elastic elasticity of carbon emissions are basically the same. Meanwhile, Anhui province is relatively backward in the energy-saving and emission reduction process, carbon emissions growth and energy consumption growth did not achieve effective decoupling, which reflects that this province still has some defects in the adjustment of energy structure, energy saving and emission reduction technology promotion policy etc.

Application of lifecycle assessment to Shinkansen vehicles and cross ties in Japan

2003 ◽  
Vol 217 (4) ◽  
pp. 271-278 ◽  
Author(s):  
H Ueda ◽  
T Miyauchi ◽  
T Tsujimura
Keyword(s):  
Energy Consumption ◽  
Environmental Impact ◽  
Energy Saving ◽  
Global Scale ◽  
Environmental Load ◽  
Lifecycle Assessment ◽  
Useful Knowledge ◽  
Railway System ◽  
Effective Instrument

Recently, environmental protection has become one of the most critical concerns on a global scale. Currently, it is widely recognized that lifecycle assessment (LCA) is a very effective instrument used to evaluate the environmental impact of various products quantitatively across their whole lifecycle. A basic LCA survey of Shinkansen vehicles and cross ties was conducted as a case study for the railway system. Through this study, the following results were confirmed. For any type of vehicle, more than 95 per cent of lifecycle energy consumption (LCE) and lifecycle CO2 emission LCCO2 is attributable to vehicle running. Lightweight vehicles, reduction of running resistance and the use of regenerative brakes contribute to energy saving in vehicle running. Regarding the CO2 emission from four types of ties (wood, concrete, synthetic and steel), wood ties emit the least amount of CO2 and synthetic ties the most. When the effect throughout the lifetime is considered, however, wood ties are by no means insignificant in terms of the environmental load. As a result of this survey, useful knowledge for applying LCA to railways was obtained.

scholarly journals Evaluating Insulation, Glazing and Airtightness Options for Passivhaus EnerPHit Retrofitting of a Dwelling in China’s Hot Summer–Cold Winter Climate Region

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 6950
Author(s):  
Chenfei Liu ◽  
Stephen Sharples ◽  
Haniyeh Mohammadpourkarbasi
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Building Energy ◽  
Low Energy ◽  
Cold Winter ◽  
Winter Climate ◽  
Climate Region ◽  
Low Energy Consumption ◽  
Insulation Performance

Passivhaus EnerPHit is a rigorous retrofit energy standard for buildings, based on high thermal insulation and airtightness levels, which aims to significantly reduce building energy consumption during operation. However, extra retrofit materials are required to achieve this standard, which raises a contradiction between how to balance the environmental impacts of the retrofitting material inputs and extremely low energy consumption after retrofit. This motivated the analysis in this paper, which aimed to evaluate the possibilities of reducing the required retrofitting material inputs when trying to achieve the EnerPHit energy standard using a typical suburban dwelling in China’s hot summer–cold winter climate region as a case study. Firstly, how the insulation performance of each envelope component affected the building’s energy consumption was analysed. Based on this, sensitivity simulations of combinations of different insulation levels with different fabric components were investigated under four scenarios of insulation levels, airtightness and glazing choice. The final proposed retrofitting plans achieved the EnerPHit standard with insulation materials’ savings between 18% to 58% compared to a baseline retrofit plan, and this led, in turn, to 3.9 to 12.6 tonnes of carbon reductions. Moreover, an energy-saving of 87% in heating and 70% in cooling was achieved compared with the pre-retrofit dwelling.

scholarly journals 98Framework for the Treatment And Reporting of Missing data in Observational Studies: The TARMOS framework

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Rosie Cornish ◽  
Kate Tilling ◽  
Rosie Cornish ◽  
James Carpenter
Keyword(s):  
Missing Data ◽  
Observational Studies ◽  
Potential Effect ◽  
Observational Research ◽  
Analysis Model ◽  
Parents And Children ◽  
Alternative Approach ◽  
Study Results ◽  
Data Checking

Abstract Focus of presentation Missing data are ubiquitous in medical research. Although there is increasing guidance on how to handle missing data, practice is changing slowly and misapprehensions abound, particularly in observational research. We present a practical framework for handling and reporting the analysis of incomplete data in observational studies, which we illustrate using a case study from the Avon Longitudinal Study of Parents and Children. Findings The framework consists of three steps: 1) Develop an analysis plan specifying the analysis model and how missing data are going to be addressed. Important considerations are whether a complete records analysis is likely to be valid, whether multiple imputation or an alternative approach is likely to offer benefits, and whether a sensitivity analysis regarding the missingness mechanism is required. 2) Explore the data, checking the methods outlined in the analysis plan are appropriate, and conduct the pre-planned analysis. 3) Report the results, including a description of the missing data, details on how missing data were addressed, and the results from all analyses, interpreted in light of the missing data and clinical relevance. Conclusions/Implications This framework encourages researchers to think carefully about their missing data and be transparent about the potential effect on the study results. This will increase confidence in the reliability and reproducibility of results from published papers. Key messages Researchers need to develop a plan for missing data prior to conducting their analysis, and be transparent about how they handled the missing data and its potential effect when reporting their results.

scholarly journals 98Framework for the Treatment And Reporting of Missing data in Observational Studies: The TARMOS framework

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Katherine Lee ◽  
Kate Tilling ◽  
Rosie Cornish ◽  
James Carpenter
Keyword(s):  
Missing Data ◽  
Observational Studies ◽  
Potential Effect ◽  
Observational Research ◽  
Analysis Model ◽  
Parents And Children ◽  
Alternative Approach ◽  
Study Results ◽  
Data Checking

Abstract Focus of presentation Missing data are ubiquitous in medical research. Although there is increasing guidance on how to handle missing data, practice is changing slowly and misapprehensions abound, particularly in observational research. We present a practical framework for handling and reporting the analysis of incomplete data in observational studies, which we illustrate using a case study from the Avon Longitudinal Study of Parents and Children. Findings The framework consists of three steps: 1) Develop an analysis plan specifying the analysis model and how missing data are going to be addressed. Important considerations are whether a complete records analysis is likely to be valid, whether multiple imputation or an alternative approach is likely to offer benefits, and whether a sensitivity analysis regarding the missingness mechanism is required. 2) Explore the data, checking the methods outlined in the analysis plan are appropriate, and conduct the pre-planned analysis. 3) Report the results, including a description of the missing data, details on how missing data were addressed, and the results from all analyses, interpreted in light of the missing data and clinical relevance. Conclusions/Implications This framework encourages researchers to think carefully about their missing data and be transparent about the potential effect on the study results. This will increase confidence in the reliability and reproducibility of results from published papers. Key messages Researchers need to develop a plan for missing data prior to conducting their analysis, and be transparent about how they handled the missing data and its potential effect when reporting their results.

Method Research on Assessment of Regional Energy Consumption and Air Pollutants Emission – A Case Study

2010 ◽  
Vol 113-116 ◽  
pp. 616-622
Author(s):  
Xue Liang Yuan ◽  
Qing Song Wang ◽  
Rui Min Mu ◽  
Chun Yuan Ma
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Saving ◽  
Air Pollutants ◽  
Limiting Factors ◽  
Average Level ◽  
Regional Energy ◽  
Industrial Dust ◽  
Pollutants Emission

Low energy efficiency, energy shortage and energy related environmental issues are the important limiting factors for the development of China. As a developed province, high economic growth has had huge implications for great energy consumption and produced significant air pollutants in Shandong. REPI model is introduced to analyze the evolution of the performance of energy consumption, emissions of SO2, soot and industrial dust in Shandong over the past 12 years. Energy saving index of Shandong kept going up since 1997 and surpassed 1 in 2002, which means the obvious decrease of energy efficiency. SO2 saving index was greater than 1 in 1997-2002 then less than 1 in 2003-2008, which shows SO2 control in Shandong is significant. The saving index of soot and industrial dust kept much less than 1, which means the reduction of these two air pollutants are much better than China average level in the study period. Though the saving indexes of SO2, soot and industrial dust are all less than 1 after 2002, which show the reduction of these pollutants are above China average level, we should still be aware for the massive emissions of these pollutants. To balance economic development, energy saving as well as pollutants reduction, Shandong is faced with huge pressure.

Study on Energy Saving and Emission Reduction Using Data Envelopment Analysis Model

2012 ◽  
Vol 524-527 ◽  
pp. 2437-2441
Author(s):  
Lei Chen ◽  
Hao Qiang Pang ◽  
Tian Yuan Liu ◽  
Guang Mu Zhu ◽  
Wen Quan Tao
Keyword(s):  
Energy Consumption ◽  
Data Envelopment Analysis ◽  
Energy Saving ◽  
Emission Reduction ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Weight Method ◽  
Emission Reduction Target ◽  
Using Data

In the paper, on the basis of the comprehensive weight method, the total energy saving and emission reduction target is distributed to every region. Then the DEA model is adopted to evaluate the actual effect of the energy consumption and the emission reduction. Finally, the optimal scheme is put forward. Taking China as example to compare the efficiency of the program A, B and the program C, we get that program B is more suitable for China, and in more developed economical region, the task of energy saving and emission reduction is done better.

Energy Audits and Energy-Saving Potential Analysis of the Science Building at Xi'an Jiaotong-Liverpool University in Suzhou

2013 ◽  
Vol 291-294 ◽  
pp. 1044-1049 ◽  
Author(s):  
Wen Long Jing ◽  
Mohamed Nayel
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Building Energy ◽  
Building Energy Consumption ◽  
Energy Audit ◽  
Potential Analysis ◽  
Energy Saving Potential ◽  
Science Building ◽  
Energy Audits

A building energy audit was developed through a case study on the science building at Xi'an Jiaotong-Liverpool University (XJTLU). The annual energy consumption of the building was surveyed over a two year period. The building energy consumption characteristics were displayed and the corresponding energy saving potential was analyzed. Additionally, an energy saving methods is proposed based on the characteristics of the target building.

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