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Article

An Inventive Method for Eco-Efficient Operation of Home Energy Management Systems

Department of Computer Science, COMSATS University Islamabad, Islamabad 44000, Pakistan
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Author to whom correspondence should be addressed.
Energies 2018, 11(11), 3091; https://doi.org/10.3390/en11113091
Received: 21 August 2018 / Revised: 12 October 2018 / Accepted: 29 October 2018 / Published: 8 November 2018
(This article belongs to the Special Issue Energy Economy, Sustainable Energy and Energy Saving)
A demand response (DR) based home energy management systems (HEMS) synergies with renewable energy sources (RESs) and energy storage systems (ESSs). In this work, a three-step simulation based posteriori method is proposed to develop a scheme for eco-efficient operation of HEMS. The proposed method provides the trade-off between the net cost of energy ( C E n e t ) and the time-based discomfort ( T B D ) due to shifting of home appliances (HAs). At step-1, primary trade-offs for C E n e t , T B D and minimal emissions T E M i s s are generated through a heuristic method. This method takes into account photovoltaic availability, the state of charge, the related rates for the storage system, mixed shifting of HAs, inclining block rates, the sharing-based parallel operation of power sources, and selling of the renewable energy to the utility. The search has been driven through multi-objective genetic algorithm and Pareto based optimization. A filtration mechanism (based on the trends exhibited by T E M i s s in consideration of C E n e t and T B D ) is devised to harness the trade-offs with minimal emissions. At step-2, a constraint filter based on the average value of T E M i s s is used to filter out the trade-offs with extremely high values of T E M i s s . At step-3, another constraint filter (made up of an average surface fit for T E M i s s ) is applied to screen out the trade-offs with marginally high values of T E M i s s . The surface fit is developed using polynomial models for regression based on the least sum of squared errors. The selected solutions are classified for critical trade-off analysis to enable the consumer choice for the best options. Furthermore, simulations validate our proposed method in terms of aforementioned objectives. View Full-Text
Keywords: eco-efficient home energy management, dispatch of renewables and energy storage systems, load-shedding-compensating dispatchable generators, optimization using surface fitting techniques, multi-objective genetic algorithm, Pareto optimization eco-efficient home energy management, dispatch of renewables and energy storage systems, load-shedding-compensating dispatchable generators, optimization using surface fitting techniques, multi-objective genetic algorithm, Pareto optimization
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MDPI and ACS Style

Hussain, B.; Javaid, N.; Hasan, Q.U.; Javaid, S.; Khan, A.; Malik, S.A. An Inventive Method for Eco-Efficient Operation of Home Energy Management Systems. Energies 2018, 11, 3091. https://doi.org/10.3390/en11113091

AMA Style

Hussain B, Javaid N, Hasan QU, Javaid S, Khan A, Malik SA. An Inventive Method for Eco-Efficient Operation of Home Energy Management Systems. Energies. 2018; 11(11):3091. https://doi.org/10.3390/en11113091

Chicago/Turabian Style

Hussain, Bilal, Nadeem Javaid, Qadeer U. Hasan, Sakeena Javaid, Asif Khan, and Shahzad A. Malik 2018. "An Inventive Method for Eco-Efficient Operation of Home Energy Management Systems" Energies 11, no. 11: 3091. https://doi.org/10.3390/en11113091

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