Evaluating Energy Efficiency of Production Machine

2019 ◽  
Vol 889 ◽  
pp. 580-587
Author(s):  
Thi Ai Lanh Nguyen ◽  
Le Nhat Hoang Tran ◽  
Henri Paris ◽  
Mathieu Museau

Industry is one of the most important energy consumption sectors. In the world, industry sector accounts for almost a third of energy consumption (28.3%, in 2012) [1]. According to the U.S. Department of Commerce: “Sustainable manufacturing is the creation of manufactured products through economically-sound processes that minimize negative environmental impacts while conserving energy and natural resources”. Nowadays, due to different environmental issues: the deficit of energy resources, the growing concern of the carbon emission, the environment impact... the awareness of energy consumption takes its important in manufacturing industries. In a manufacturing system, production machine is one of the basis energy consumed devices. In order to achieve the long-term goal "sustainable manufacturing", it is necessary then to take into account the energy efficiency of production machine [2]. In fact, increasing energy efficiency of production machine allows to reduce not only energy costs but also the overall environmental impact. Energy efficiency evaluation of production machine is therefore one of the prerequisites for energy saving in manufacturing [3]. In order to support designers during the design phase of the next production machine generation, in this paper, the principal objective is to propose a method to evaluate energy efficiency of a production machine.

Author(s):  
Zeyi Sun ◽  
Stephan Biller ◽  
Fangming Gu ◽  
Lin Li

Due to rapid consumption of world’s fossil fuel resources and impracticality of large-scale application and production of renewable energy, the significance of energy efficiency improvement of current available energy modes has been widely realized by both industry and academia. A great deal of research has been implemented to identify, model, estimate, and optimize energy efficiency of single-machine manufacturing system [1–5], but very little work has been done towards achieving the optimal energy efficiency for a typical manufacturing system with multiple machines. In this paper, we analyze the opportunity of energy saving on the system level and propose a new approach to improve energy efficiency for sustainable production systems considering the fact that more and more modern machines have multiple power states. Numerical case based on simulation model of an automotive assembly line is used to illustrate the effectiveness of the proposed approach.


Energies ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3804 ◽  
Author(s):  
Chia-Nan Wang ◽  
Thi-Duong Nguyen ◽  
Min-Chun Yu

Despite the many benefits that energy consumption brings to the economy, consuming energy also leads nations to expend more resources on environmental pollution. Therefore, energy efficiency has been proposed as a solution to improve national economic competitiveness and sustainability. However, the growth in energy demand is accelerating while policy efforts to boost energy efficiency are slowing. To solve this problem, the efficiency gains in countries where energy consumption efficiency is of the greatest concern such as China, India, the United States, and Europe, especially, emerging economies, is central. Additionally, governments must take greater policy actions. Therefore, this paper studied 25 countries from Asia, the Americas, and Europe to develop a method combining the grey method (GM) and data envelopment analysis (DEA) slack-based measure model (SMB) to measure and forecast the energy efficiency, so that detailed energy efficiency evaluation can be made from the past to the future; moreover, this method can be extended to more countries around the world. The results of this study reveal that European countries have a higher energy efficiency than countries in Americas (except the United States) and Asian countries. Our findings also show that an excess of total energy consumption is the main reason causing the energy inefficiency in most countries. This study contributes to policymaking and strategy makers by sharing the understanding of the status of energy efficiency and providing insights for the future.


2014 ◽  
Vol 628 ◽  
pp. 225-228
Author(s):  
Xiao Lin Tian ◽  
Shou Gen Hu ◽  
Hong Bo Qin ◽  
Jun Zhao ◽  
Ling Yuan Ran

As the most widely used fourth energy, compressed air system has high operating costs. The research about energy consumption and energy optimization measures of compressed air system has become the new field to achieve energy saving among countries all over the world. In recent years, air compressor system researches in energy consumption, influence factors, energy saving technologies and energy efficiency evaluation have been carried out at home and abroad, and some achievements have been achieved. This paper summarizes energy consumption research status of air compressor system at home and abroad, and energy-saving technologies of compressed air in generation link, treatment link and gas link, and energy efficiency evaluation methods for of air compressor systems. Potentials and drawbacks of current researches are analyzed simultaneously. In the end energy-saving development directions of air compressor system are predicted.


Author(s):  
M. J. Kelly

Just under half of all energy consumption in the UK today takes place indoors, and over a quarter within our homes. The challenges associated with energy security, climate change and sustainable consumption will be overcome or lost in our existing buildings. A background analysis, and the scale of the engineering challenge for the next three to four decades, is described in this paper.


2014 ◽  
Vol 962-965 ◽  
pp. 1767-1772
Author(s):  
Zun Ming Ren

The paper utilized the co-integration test, error correction model and Granger causality test, and other methods to verify the influence of the coal, oil and electricity prices, industrial and energy consumption structures on China's energy efficiency based on time-series data from 1979 to 2010. Test results show that: there is long-term equilibrium relationship of the energy prices, industrial structure, energy consumption structure and energy efficiency; coal prices, industrial structure and energy consumption structure are the Granger reasons of energy efficiency both in the short and long run; while the oil and electricity prices only constitute the long-term Granger reasons of energy efficiency. Finally, it analyzed the implications of policies of the empirical results and provided some constructive suggestions.


Author(s):  
David A. Guerra-Zubiaga ◽  
Stephen Newman

Global trends indicate that energy consumption in manufacturing automation is an important aspect to support next generation of sustainable eco-factories. Some manufacturing processes consume large amounts of energy to fully be automated. Researchers have been emphasizing the significant challenge energy generation will be in coming years to fulfill demand. Therefore, there is a need to explore new ways of reducing manufacturing automation energy consumption. This paper focuses on research concerned with energy consumption in a fully integrated manufacturing automation, and argues that the understanding of different approaches to explore novel tools for sustainable manufacturing is important to support eco-factories.


Author(s):  
Peter Hormann ◽  
Leith Campbell

Data storage has become an increasingly significant issue with the widespread availability of cheap storage technology and the development of global data centres for cloud storage. This paper reports a study of energy consumption for data storage in data centres. Unlike previous estimates, which have been extrapolations of broad energy usage within the data centre, we take a bottom-up approach. Firstly, we describe the technologies that can be used for data storage. Then we build up a model of energy consumption in data centres based on tiers of data storage. Based on published forecasts of data storage growth and assumptions about improving energy efficiency in technology and data centres, we then estimate the energy consumption for data storage in data centres in 2020. We show that energy consumption will rise substantially if a “business as usual” approach is adopted. We further show that the growth in energy consumption can be mitigated somewhat by adopting a more aggressive policy of data archiving on long-term, low-energy, “cold” storage; or more ideally purging data of little or no future value. This, however, would require a change in the popular assumption that data will be available readily online and forever.


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