Energy Saving for Process Industries: An Introduction

2010 ◽  
Vol 43 (4) ◽  
pp. 111-111
Author(s):  
Hong Wang ◽  
Huan Bin Liu
Energies ◽  
2019 ◽  
Vol 12 (20) ◽  
pp. 3935 ◽  
Author(s):  
Miriam Benedetti ◽  
Francesca Bonfà ◽  
Vito Introna ◽  
Annalisa Santolamazza ◽  
Stefano Ubertini

Most manufacturing and process industries require compressed air to such an extent that in Europe, for instance, about 10% of the total electrical energy consumption of industries is due to compressed air systems (CAS). However, energy efficiency in compressed air production and handling is often ignored or underestimated, mainly because of the lack of awareness about its energy consumption, caused by the absence of proper measurements on CAS in most industrial plants. Therefore, any effective energy saving intervention on generation, distribution and transformation of compressed air requires proper energy information management. In this paper we demonstrate the importance of monitoring and controlling energy performance in compressed air generation and use, to enable energy saving practices, to enhance the outcomes of energy management projects, and to obtain additional benefits for non-energy-related activities, such as operations, maintenance management and energy accounting. In particular, we propose a novel methodology based on measured data, and baseline definition through statistical modelling and control charts. The proposed methodology is tested on a real compressed air system of a pharmaceutical manufacturing plant in order to verify its effectiveness and applicability.


Author(s):  
G H King

Innovative measures to improve the energy efficiency of industrial processes are being stimulated by the Energy Efficiency Demonstration Scheme of the Energy Efficiency Office. Nearly 200 projects relevant to the process industries have already been mounted covering a whole range of energy-saving technologies. Replications of the demonstrations now total nearly 500, with energy savings reaching ½ million tonnes of coal equivalent per year. Provided the lessons of the failures as well as the successes are learnt, then when the complete programme of over 300 projects has been promoted in collaboration with the equipment supply industries, savings of 7 million tonnes of coal equivalent per year should be achieved, worth £½ billion per year to the process industries.


2001 ◽  
Vol 32 (3) ◽  
pp. 133-141 ◽  
Author(s):  
Gerrit Antonides ◽  
Sophia R. Wunderink

Summary: Different shapes of individual subjective discount functions were compared using real measures of willingness to accept future monetary outcomes in an experiment. The two-parameter hyperbolic discount function described the data better than three alternative one-parameter discount functions. However, the hyperbolic discount functions did not explain the common difference effect better than the classical discount function. Discount functions were also estimated from survey data of Dutch households who reported their willingness to postpone positive and negative amounts. Future positive amounts were discounted more than future negative amounts and smaller amounts were discounted more than larger amounts. Furthermore, younger people discounted more than older people. Finally, discount functions were used in explaining consumers' willingness to pay for an energy-saving durable good. In this case, the two-parameter discount model could not be estimated and the one-parameter models did not differ significantly in explaining the data.


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