A comparative study on the separating methods of Al, Ca and Mg based on theoretical energy consumption

The Sports and Recreation sector within the UK uses the equivalent of 3 millions tonnes of coal per year to supply the activities demanded by an ever increasing sports conscience society. The government has attempted to stimulate energy efficiency in this sector through the use of good practice guides and case studies. A comparative study was undertaken to analyse the performance of two leisure complexes in the Seven Valley degree day region. One site had double the occupancy rate of the other. It was found that the energy consumption per user was approximately 10 kWh for both sites. However the energy cost per user showed a large difference: for Site A this index was 31p/user compared to 15p/user at Site B. The primary causes of this difference are attributed to variation in energy mix between the two sites, as well as a difference in the price paid for primary fuel. Indices based on floor area of the facilities exhibit similar trends, and furthermore show that both sites were in the high band of energy consumption. This indicated that both sites had the potential to make significant energy-related savings, and a further breakdown of electrical, natural gas and water consumption per site is used to identify these potential savings in a rapidly expanding sector.

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Comparative study of real-world driving cycles, energy consumption, and CO2 emissions of electric and gasoline motorcycles driving in a congested urban corridor

Sustainable Cities and Society ◽

10.1016/j.scs.2018.12.031 ◽

2019 ◽

Vol 45 ◽

pp. 619-627 ◽

Cited By ~ 6

Author(s):

Triluck Koossalapeerom ◽

Thaned Satiennam ◽

Wichuda Satiennam ◽

Watis Leelapatra ◽

Atthapol Seedam ◽

...

Keyword(s):

Energy Consumption ◽

Comparative Study ◽

Co2 Emissions ◽

Real World ◽

Driving Cycles ◽

Urban Corridor

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A Comparative Study of Machine Learning Models in Predicting Energy Consumption

10.1007/978-3-030-90275-9_13 ◽

2021 ◽

pp. 154-161

Author(s):

Ana Isabel Perez Cano ◽

Hongrui Liu

Keyword(s):

Machine Learning ◽

Energy Consumption ◽

Comparative Study ◽

Learning Models ◽

Machine Learning Models

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Comparative Study of Road Lighting Efficiency in the Context of CEN/TR 13201 2004 and 2014 Lighting Standards and Dynamic Control

Energies ◽

10.3390/en12081524 ◽

2019 ◽

Vol 12 (8) ◽

pp. 1524 ◽

Cited By ~ 12

Author(s):

Igor Wojnicki ◽

Konrad Komnata ◽

Leszek Kotulski

Keyword(s):

Energy Consumption ◽

Comparative Study ◽

Dynamic Control ◽

Optimal Designs ◽

Traffic Intensity ◽

Intensity Data ◽

Test Bed ◽

Road Lighting ◽

Traffic Characteristics ◽

One Year

This paper presents a comparative study of differences in energy consumption while applying 2004 and 2014 releases of the CEN/TR 13201 standard for lighting designs. Street lighting optimal design and its optimization is discussed. To provide a reliable comparison, optimal designs for a given representative set of streets were calculated. The optimization was performed by newly developed software. As a test bed, a set of streets was selected with varying physical and traffic characteristics. The energy consumption was measured on the same set of streets both statically, which assumed the same lighting levels throughout night, and with a dynamic control, which adjusted lighting based on traffic intensity. For experiments with the dynamic control, one year of traffic intensity data were used. The findings confirm increased economical impact of dynamic control for the 2014 standard, which results in significant energy saving.

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