Energy end-use model of the Jordanian SMES industries

Al–Bashir, Adnan; Al-Ghandoor, A.; Abdallat, Yousef; Al-Hadethi, Rami

doi:10.1063/1.4768980

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…The distribution of EEU among end-users and energy saving potentials have previously been studied in industries other than the aluminium industry, e.g., the Jordanian SMEs industries [8], a textile mill in India [9], paper mills in the Netherlands [10], the industrial sector in Malaysia [11], the global cheese-making industry [12], and the Swedish wood industry [13].…”

Section: Introductionmentioning

confidence: 99%

Taxonomy, Saving Potentials and Key Performance Indicators for Energy End-Use and Greenhouse Gas Emissions in the Aluminium Industry and Aluminium Casting Foundries

et al. 2021

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Increasing energy efficiency within the industrial sector is one of the main approaches in order to reduce global greenhouse gas emissions. The production and processing of aluminium is energy and greenhouse gas intensive. To make well-founded decisions regarding energy efficiency and greenhouse gas mitigating investments, it is necessary to have relevant key performance indicators and information about energy end-use. This paper develops a taxonomy and key performance indicators for energy end-use and greenhouse gas emissions in the aluminium industry and aluminium casting foundries. This taxonomy is applied to the Swedish aluminium industry and two foundries. Potentials for energy saving and greenhouse gas mitigation are estimated regarding static facility operation. Electrolysis in primary production is by far the largest energy using and greenhouse gas emitting process within the Swedish aluminium industry. Notably, almost half of the total greenhouse gas emissions from electrolysis comes from process-related emissions, while the other half comes from the use of electricity. In total, about 236 GWh/year (or 9.2% of the total energy use) and 5588–202,475 tonnes CO2eq/year can be saved in the Swedish aluminium industry and two aluminium casting foundries. The most important key performance indicators identified for energy end-use and greenhouse gas emissions are MWh/tonne product and tonne CO2-eq/tonne product. The most beneficial option would be to allocate energy use and greenhouse gas emissions to both the process or machine level and the product level, as this would give a more detailed picture of the company’s energy use and greenhouse gas emissions.

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