2019
DOI: 10.1016/j.energy.2019.03.104
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Integrating industrial waste heat recovery into sustainable smart energy systems

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Cited by 46 publications
(24 citation statements)
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References 31 publications
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“…Fuel savings of 3.1 MWh/year; payback time less than a year [74]. [74,80,117] Inertising Drying stage is eliminated, with energy savings being achieved through the use of dry grinding instead of wet grinding [98]; the inertising operation has a common duration of 10-15 min, using a maximum operation temperature of 900 • C and allows the use of raw materials of worse quality [98].…”
Section: Drying Air Preheatingmentioning
confidence: 99%
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“…Fuel savings of 3.1 MWh/year; payback time less than a year [74]. [74,80,117] Inertising Drying stage is eliminated, with energy savings being achieved through the use of dry grinding instead of wet grinding [98]; the inertising operation has a common duration of 10-15 min, using a maximum operation temperature of 900 • C and allows the use of raw materials of worse quality [98].…”
Section: Drying Air Preheatingmentioning
confidence: 99%
“…[73][74][75][76] Practical achievements of WHR implementation Design and application of several technologies and the assessment of achievements of WHR implementation,[77][78][79][80] …”
mentioning
confidence: 99%
“…Dimensioning the plants to the winter case would not be economically feasible, therefore, storages have to be implemented. As shown in this example, waste heat from offices can help balancing the energy system as well as industrial waste heat [17] or waste heat from data centers [18]. Sector coupling is therefore a key issue towards the realization of heating and cooling grids with renewable and waste heat sources.…”
Section: Pv Is the Only Universally Accessible Electricity Generationmentioning
confidence: 99%
“…However, as noted by some authors, a joint representation of the electricity system behavior and the wastewater treatment process in an integrated energy system has not been implemented at present. Nowadays, mathematical modelling and simulation tools are being increasingly applied to WWTP upgrading and optimization [15]: multi-objective optimization models, in particular, allow one to account for different objective functions, with the aim of optimizing design and operations of a selected process [16].…”
Section: Introductionmentioning
confidence: 99%