2013
DOI: 10.1016/j.renene.2012.10.038
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Optimal design of hybrid renewable energy systems (HRES) using hydrogen storage technology for data center applications

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Cited by 73 publications
(22 citation statements)
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“…442 Polynomial mutation operator [87] and simulated binary crossover operator [88] are used along with differential 443 evolutionary operators [77]- [79]in the reproduction of the population. Constraints for the optimization algorithm are 444 handled at two different levels: constraint tournament method [87] is used to handle the constraints in the 445 optimization algorithm and loss of load probability is considered as a constraint while states of the control system 446 were defined to handle the constraints due to grid curtailments.…”
Section: Optimization Algorithm 431mentioning
confidence: 99%
See 1 more Smart Citation
“…442 Polynomial mutation operator [87] and simulated binary crossover operator [88] are used along with differential 443 evolutionary operators [77]- [79]in the reproduction of the population. Constraints for the optimization algorithm are 444 handled at two different levels: constraint tournament method [87] is used to handle the constraints in the 445 optimization algorithm and loss of load probability is considered as a constraint while states of the control system 446 were defined to handle the constraints due to grid curtailments.…”
Section: Optimization Algorithm 431mentioning
confidence: 99%
“…When the price of electricity in the grid increases further, it is 384 economical to discharge the battery bank in addition to directing excess electricity generated ( Designing electric hubs integrated to the grid is challenging due to a number of reasons as discussed before. A 395 heuristic algorithm has been amply used in the literature [19], [32]- [34], [39], [79]- [81] and shown to be much 396 efficient when optimizing these systems when compared to enumerative methods [82] which are used in existing 397 software such as Homer [83]. A detailed comparison of these methods can be found in recent reviews on hybrid 398 energy system designing [80], [84].…”
mentioning
confidence: 99%
“…The research of [20] introduced a multi-objective optimization approach for a green data center that involves use of both renewable sources and conventional power sources. The study of [21] introduced a power architecture and power management approach for data centers that use both wind turbines and solar panels as a power source. With smart control of load demand, using renewable sources in data centers can become economically feasible [21].…”
Section: Previous Work and Contributionsmentioning
confidence: 99%
“…The study of [21] introduced a power architecture and power management approach for data centers that use both wind turbines and solar panels as a power source. With smart control of load demand, using renewable sources in data centers can become economically feasible [21]. A real-time control approach for factories with PV panel installation has also been proposed [22].…”
Section: Previous Work and Contributionsmentioning
confidence: 99%
“…This (unpredictable) uncontrollability in output power of most of RES can be somehow mitigated by introducing a storage component to RES in order to decouple the instantaneous generation from the consumption. A Hybrid Renewable Energy System (HRES) is defined as a system consisting of single/multiple RES along with a (or a combination of several) storage element(s) [1]. Some examples are commercialized stand-alone solar-battery configuration for street lighting, or a wind-solar-fuel cellhydrogen storage configuration for electrifying a remote rural area or an island.…”
Section: Introductionmentioning
confidence: 99%