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Scheduling Smart Home Appliances in the Stockholm Royal Seaport
KTH, School of Electrical Engineering (EES), Automatic Control.
2012 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This thesis investigates the optimal scheduling of smart home appliances

with respect to economic benefits (electricity bill) and reducing environmental

impacts (CO


emissions) for the Stockholm Royal Seaport project. The

aim of this project is to develop a new urban district developing in the eastern

Stockholm which will house 10,000 new apartments and 30,000 new office

spaces where modern living is combined with environmental thinking to create

sustainable living. In a previous work the scheduling objective was to minimize

electricity bill, subject to various constraints such as sequential processing

and consumer preferences. In this work the optimization framework will be

extended to consider the trade-off between electricity bill and CO



minimization. This is a main concern in the Royal Seaport project. The study

of this thesis shows that a well balanced result between minimizing the electricity

cost and reducing the CO


emissions for an unusual cold day in Sweden

(2010-01-05) with three typical home appliances showed that for formulation

suggested in a previous work one could save up to 35.9% of electricity costs

as well as reducing the CO


emissions with up to 16.5 %. This saving is with

respect to the worst case scheduling for that specific day. The trade-off analysis

is based on multi-objective Pareto frontier exploration, which requires solving

multiple schedules instead of one as in the previous single objective case. In

addition, for practical implementation the smart home control devices that will

be used in the Stockholm Royal Sea project apartments will have a CPU and

memory similar to those of a smart phone. Therefore there exists a need for

faster implementation. The studies in this thesis indicate that the proposed

simplified formulation can lead to a almost sixfold speed up in solve time, while

providing schedules similar to those by the previous approach. The solve time

of the proposed formulation decreases when the number of breakpoints in the

piecewise linear objective decreases. A variant of the Ramer-Douglas-Peucker

algorithm is applied to reduce the number of breakpoints while guaranteeing

the objective function error is within a pre-specified bound. Finally, extensions

of the current framework are discussed.

Place, publisher, year, edition, pages
2012. , 44 p.
EES Examensarbete / Master Thesis, XR-EE-RT 2012:017
National Category
Control Engineering
URN: urn:nbn:se:kth:diva-101437OAI: diva2:547613
Available from: 2012-09-05 Created: 2012-08-28 Last updated: 2012-09-05Bibliographically approved

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