2019
DOI: 10.1016/j.rser.2019.06.007
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Energy management of small-scale PV-battery systems: A systematic review considering practical implementation, computational requirements, quality of input data and battery degradation

Abstract: The home energy management problem has many different facets, including economic viability, data uncertainty and quality of strategy employed. The existing literature in this area focuses on individual aspects of this problem without a detailed, holistic analysis of the results with regards to practicality in implementation. In this paper, we fill this gap by performing a comprehensive comparison of seven different energy management strategies, each with different levels of practicality, sophistication and com… Show more

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Cited by 93 publications
(52 citation statements)
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References 112 publications
(156 reference statements)
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“…The algorithms have also been dealt with in several review papers. 49,50 However, a comparison and assessment of the implications to battery aging has not been provided previously. Each method is evaluated for a residential PV-BESS for a time span of 20 years.…”
Section: Methodsmentioning
confidence: 99%
“…The algorithms have also been dealt with in several review papers. 49,50 However, a comparison and assessment of the implications to battery aging has not been provided previously. Each method is evaluated for a residential PV-BESS for a time span of 20 years.…”
Section: Methodsmentioning
confidence: 99%
“…Poompavai and Kowsalya 11 presented a review study on energy management strategies applicable for PV and wind-fed water pumping system, but uncertainties associated with PV and wind generation are not addressed in the paper. Azuatalam et al 12 provide a technoeconomic assessment of seven different HEMS strategies including their forecast, and it was found that practical implementation of these strategies is limited due to the assumption made in modeling of different EMS. Zia et al 13 Abbreviations: BEMS, building energy management system; DR, demand response; DSM, demand-side management; EMS, energy management system; ESS, energy storage system; HEMS, home energy management system; PEV, plug-in electric vehicle; SHEMS, smart home energy management system.…”
Section: Contributionsmentioning
confidence: 99%
“…Poompavai and Kowsalya presented a review study on energy management strategies applicable for PV and wind‐fed water pumping system, but uncertainties associated with PV and wind generation are not addressed in the paper. Azuatalam et al provide a technoeconomic assessment of seven different HEMS strategies including their forecast, and it was found that practical implementation of these strategies is limited due to the assumption made in modeling of different EMS. Zia et al provided a critical review on microgrids EMS with insights on various solution approaches and communication requirement for microgrid.…”
Section: Introductionmentioning
confidence: 99%
“…While modeling energy storage, solar PV, and EVs can be fairly straightforward, forecasting and controlling HVAC loads as a source of flexibility would require a detailed thermal modeling of the building. More generally, optimization-based and analytical models have worked well in the modeling and predictive control of energy storage and solar PV systems [43,44]. On the other hand, flexible loads in buildings, particularly HVAC systems, are more difficult to predict due to many uncertainties involved in occupancy-building interactions arising from both internal and external factors [45].…”
Section: Transactive Dermentioning
confidence: 99%