Foresee: A user-centric home energy management system for energy efficiency and demand response

Jin, Xin; Baker, Kyri; Christensen, Dane; Isley, Steven C.

doi:10.1016/j.apenergy.2017.08.166

Cited by 161 publications

(77 citation statements)

References 16 publications

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“…Results from performing this optimization on simulated buildings are presented in (Jin et al 2017). The Home Battery System was also exercised in the laboratory under a set of scenario tests, as described in the next two chapters.…”

Section: Solving the Mpc Problem Via Quadratic Programmingmentioning

confidence: 99%

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Final Report: TIP-337 Home Battery System for Cybersecure Energy Efficiency and Demand Response

Christensen

Jin

Sparn

et al. 2018

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Section: Solving the Mpc Problem Via Quadratic Programmingmentioning

confidence: 99%

“…Note that much of this chapter has been previously published in(Jin et al 2017),(Jin et al 2016), and(Raszmann et al 2017), and we duplicate that prior work here for the reader's convenience.…”

mentioning

confidence: 99%

Final Report: TIP-337 Home Battery System for Cybersecure Energy Efficiency and Demand Response

Christensen

Jin

Sparn

et al. 2018

Self Cite

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“…Considerable work has been undertaken concerning home/residential microgrid energy management for the integration of renewables and EVs into residential loads and optimization of energy consumption for end-users [5][6][7][8][9][10][11][12]. However, most of the existing literature is only directed toward a single residential microgrid system, the interaction relationship between RMGs and active distribution network (ADN) were not taken into account.…”

Section: Introductionmentioning

confidence: 99%

“…In [6], an optimal management system is proposed for the energy management of a residential microgrid, this optimization model considered the renewable energy sources, integration of electric vehicles, vehicle to the grid system, and the energy consumption of a household with the day-ahead electricity price. The researchers in [9][10][11][12] studied the designing of home energy management systems for coordinated optimal control between the behavior of energy use of a household and the operation of distributed energy resources. In [13], optimal management problem of an RMG is formulated as a mixed integer linear programming model aiming for a minimum operating cost of the RMG, and its economic value is assessed from the perspective of a homeowner.…”

Section: Introductionmentioning

confidence: 99%

Distributed Optimal Coordinated Operation for Distribution System with the Integration of Residential Microgrids

Wang

Javid

et al. 2019

Applied Sciences

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With the increasing integration of rooftop photovoltaic (PV) generation and plug-in electric vehicles (EVs) into the households at user level, household consumers become prosumers. The coordination between the household prosumers and distribution network (DN) becomes essential to the energy management and optimal operation for both entities. In this paper, the residential prosumer cluster is considered as a residential microgrid (RMG) and a hierarchical DN integration method for the multi-RMGs is presented. A two-level hierarchical distributed optimization model is established based on the analytical target cascading to coordinate the RMGs and DNs. At the RMGs level, each RMG is required to individually optimize the energy consumption scheduling in every household by taking into account the effect of time-of-use electricity price on the demand response of EVs and flexible loads. At the DN level, the optimally coordinated operation problem is formulated as a relaxed optimal power flow model based on the second order cone programming by considering the power flow balance constraints. Case studies on the modified IEEE 33-bus system demonstrate the feasibility and effectiveness of the proposed method by achieving coordinated economic optimality as well as coordinated operating points for all entities.

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“…A negative energy payback time was computed for home automation devices due to the energy consumption of smart plugs. Foresee TM was presented by [17] as a user-centred HEMs for optimizing its operations to achieve efficiency and utility cost savings. Abushnaf et al in [18] made extensive arguments on the ability of HEMs to optimize residential building energy use especially in tackling the problems of green-house gas emission and energy wastage.…”

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confidence: 99%

A biased load manager home energy management system for low-cost residential building low-income occupants

Monyei

Adediran

Akinyele

et al. 2018

Energy

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This research paper presents the development of a biased load manager home energy management system for low-cost residential building occupants. As a smart grid framework, the proposed load manager coordinates the operation of the inverter system of a low cost residential apartment consisting of rooftop solar photovoltaic panels, converter and battery, and provides a platform for discriminating residential loads into on-grid and off-grid supply classes while maximizing solar irradiance for optimum battery charging and improving consumer comfort from base levels. Modelled in a Matlab simulation environment, the system incorporates a converter system for maximum power point tracking using a hopping algorithm, with a dedicated mechanism for smart dispatch of specified loads to meet the users' comfort based on the priority ranking of the loads. Results obtained indicate a 34% reduction in electricity cost, 26% reduction in carbon emissions and a 4% increase in comfort level for the photovoltaic/battery/utility option compared to the utility only option. The results further show that cost is a major factor affecting the users' comfort and not necessarily dispatch of appliances to meet energy needs. The research can be useful for encouraging the adoption of the photovoltaic/battery/utility option by low/middle income energy users in developing countries.

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Foresee: A user-centric home energy management system for energy efficiency and demand response

Cited by 161 publications

References 16 publications

Final Report: TIP-337 Home Battery System for Cybersecure Energy Efficiency and Demand Response

Final Report: TIP-337 Home Battery System for Cybersecure Energy Efficiency and Demand Response

Distributed Optimal Coordinated Operation for Distribution System with the Integration of Residential Microgrids

A biased load manager home energy management system for low-cost residential building low-income occupants

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