J. Praveenchandar^1,*, A. Tamilarasi²

Intelligent Automation & Soft Computing, Vol.34, No.3, pp. 1839-1850, 2022, DOI:10.32604/iasc.2022.026354 - 25 May 2022

Abstract Cloud computing is one of the emerging technology; it provides various services like Software as a Service, Platform as a Service, and Infrastructure as a Service on demand. It reduces the cost of traditional computing by renting the resources instead of buying them for a huge cost. The usage of cloud resources is increasing day by day. Due to the heavy workload, all users cannot get uninterrupted service at some time. And the response time of some users also gets increased. Resource allocation is one of the primary issues of a cloud environment, one of… More >

Rongge Xiao^a,*, Yanwei Zhang^a , Xu Gao^b , Hongping Yu^c , Wangying Wei^a

Frontiers in Heat and Mass Transfer, Vol.15, pp. 1-8, 2020, DOI:10.5098/hmt.15.22

Abstract In order to improve DMR (double mixed refrigerant) liquefaction process and reduce operation cost of natural gas liquefaction plant, a four-stage DMR process optimization simulation calculation model was established through Aspen Hysys v8.4 and the purpose of the optimization model is achieved by using the segmented compression process in this paper. The minimum energy consumption and the highest exergy efficiency were used as the objective functions. By using the optimizer in HYSYS, the process parameters and ingredient proportion of the mixed refrigerant in the fourstage DMR process was optimized, and the best process parameters and More >

Haiming Sun^1,3, Quande Dong^2,*, Cuixia Zhang², Jianqing Chen^3,4

Energy Engineering, Vol.117, No.3, pp. 153-164, 2020, DOI:10.32604/EE.2020.010706 - 10 July 2020

Abstract The improvement of energy efficiency is considered as one of the keys to the sustainable development of manufacturing enterprises. This paper proposes an energy efficiency improvement method for the manufacturing process. Based on the analysis of the characteristics of energy consumption in the manufacturing process, a necessary energy consumption model, an assistant energy consumption model and an ineffective energy consumption model are constructed for identifying the energy consumption attributes of the manufacturing process. Then, the relationship model of energy consumption is built, and the energy efficiency improvement method for the manufacturing process is proposed based More >

Bo Mi Lee, In-Ho Kim, Hyung-Jo Jung

The International Conference on Computational & Experimental Engineering and Sciences, Vol.19, No.1, pp. 19-20, 2011, DOI:10.3970/icces.2011.019.019

Abstract Vibration energy harvesting, which converts ambient vibration energy into electrical energy, has been an attractive energy scavenging technique to power wireless sensors or low power devices. Even though vibration energy harvesting has drawbacks which are relatively low harvested power and narrow bandwidth, vibration energy scavenging is one of the promising alternative power techniques in that MEMS techniques can be applied to microminiaturize the system. Therefore, many researches have been done to overcome these problems(Lee et al.2010). This paper presents improvement efficiency on piezoelectric vibration energy harvesting device to surmount issues of vibration energy harvesting. Numerical More >