2018
DOI: 10.1016/j.enbuild.2018.07.061
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Development of a multiobjective optimization procedure dedicated to the design of district energy concept

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Cited by 14 publications
(7 citation statements)
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“…In general, the mathematical optimization of district heating and/or cooling systems has been less investigated and is thus less advanced than at building-scale [121], particularly in regions where district energy systems are not well developed, and/or where energy conservation incentives are limited. However, district systems are spatially and temporally large-scale systems with complex characteristics and that require dedicated optimization methodologies [32,111,121], including in terms of objectives and constraints. Their optimizations involve both continuous and discrete variables (e.g., existence of a power generator, chiller, pump, pipe or other network element, pipe insulation material and thickness), non-linear performance parameters, and a larger design space than at building-scale [121].…”
Section: Optimizationmentioning
confidence: 99%
See 3 more Smart Citations
“…In general, the mathematical optimization of district heating and/or cooling systems has been less investigated and is thus less advanced than at building-scale [121], particularly in regions where district energy systems are not well developed, and/or where energy conservation incentives are limited. However, district systems are spatially and temporally large-scale systems with complex characteristics and that require dedicated optimization methodologies [32,111,121], including in terms of objectives and constraints. Their optimizations involve both continuous and discrete variables (e.g., existence of a power generator, chiller, pump, pipe or other network element, pipe insulation material and thickness), non-linear performance parameters, and a larger design space than at building-scale [121].…”
Section: Optimizationmentioning
confidence: 99%
“…However, district systems are spatially and temporally large-scale systems with complex characteristics and that require dedicated optimization methodologies [32,111,121], including in terms of objectives and constraints. Their optimizations involve both continuous and discrete variables (e.g., existence of a power generator, chiller, pump, pipe or other network element, pipe insulation material and thickness), non-linear performance parameters, and a larger design space than at building-scale [121].…”
Section: Optimizationmentioning
confidence: 99%
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“…Kylili and Fokaides, 2015), development of eco-districts (e.g. Gabillet, 2015;Perez et al, 2018) and implementation of novel methods and tools for demand-side management, e.g. demand-response mechanisms (e.g.…”
Section: Scopementioning
confidence: 99%