abawajy-schedulingdistributed-2018.pdf (1.18 MB)
Scheduling distributed energy resource operation and daily power consumption for a smart building to optimize economic and environmental parameters
journal contribution
posted on 2018-05-25, 00:00 authored by Z Pooranian, Jemal AbawajyJemal Abawajy, P Vinod, M ContiIn this paper, we address the problem of minimizing the total daily energy cost in a smart residential building composed of multiple smart homes with the aim of reducing the cost of energy bills and the greenhouse gas emissions under different system constraints and user preferences. As the household appliances contribute significantly to the energy consumption of the smart houses, it is possible to decrease electricity cost in buildings by scheduling the operation of domestic appliances. In this paper, we propose an optimization model for jointly minimizing electricity costs and CO2emissions by considering consumer preferences in smart buildings that are equipped with distributed energy resources (DERs). Both controllable and uncontrollable tasks and DER operations are scheduled according to the real-time price of electricity and a peak demand charge to reduce the peak demand on the grid. We formulate the daily energy consumption scheduling problem in multiple smart homes from economic and environmental perspectives and exploit a mixed integer linear programming technique to solve it. We validated the proposed approach through extensive experimental analysis. The results of the experiment show that the proposed approach can decrease both CO2emissions and the daily energy cost.
History
Journal
EnergiesVolume
11Issue
6Article number
1348Pagination
1 - 17Publisher
MDPILocation
Basel, SwitzerlandPublisher DOI
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eISSN
1996-1073Language
engPublication classification
C Journal article; C1 Refereed article in a scholarly journalCopyright notice
2018, the authorsUsage metrics
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