Assessing the potential of PV hybrid systems to cover HVAC loads in a grid-connected residential building through intelligent control

Solano, Juan; Olivieri, Lorenzo; Caamaño‐Martín, E.

doi:10.1016/j.apenergy.2017.08.188

Cited by 42 publications

(8 citation statements)

References 52 publications

(51 reference statements)

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“…In this case, the heat battery model includes a resistor with variable electric resistance, whose value is set according to the power output of the PV system. The model includes seven basic components ( Figure 7a): a time table which has registered data for the PV power production (1), a charge control (2), a heat storage (3), a discharge control (4), a constant voltage which simulates the output voltage of the PV system (5), a ground component (6) and a time table which has registered data for the heat demand (7). The heat storage component also includes some connectors which facilitate the data flow between the components, such as the input of the heat demand data (u), the variable resistance value (u1), a Boolean signal which controls the switch (u2) and the output of the value of state of charge (SOC) of the battery (y), as well as positive and negative pins (pin_p and pin_n) for connecting the switch and variable resistor to an electric circuit, as shown in Figure 7b.…”

Section: Case 1a: Lt-tes With Electric Resistormentioning

confidence: 99%

“…Concerning the second strategy, the use of renewable energy for heating and cooling has been considered. Numerous studies dedicated on the combination of advanced energy systems have been performed, involving electricity-driven air conditioning equipment, mainly heat pumps, powered by photovoltaic (PV) systems [6][7][8][9][10][11]. However, the maximization of Renewable Energy Sources (RES) penetration makes the use of appropriate heat storage technologies necessary.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic modeling and energy analysis of renewable heating and electricity systems at residential buildings using phase change material based heat storage technologies

Violidakis

Ατσόνιος

Iliadis

et al. 2020

Journal of Energy Storage

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Several heat storage systems for domestic application can be used to promote Renewable Energy Sources (RES) penetration by storing excess energy, which would otherwise be rejected during curtailments. The present study investigates two types of PV powered latent heat storage technologies for delivering heat and/or electricity at residential buildings and compares them against a reference case which uses a conventional heat pump as a heating system, also powered by a PV. One technology involves a low temperature PCM thermal energy storage system (LT-TES) heated by either an electric resistance or a heat pump and the other technology involves an ultra-high temperature TES (UHT-TES). It is revealed that any case with heat storage is preferable for better exploiting the produced renewable energy than the conventional one which does not include heat storage. The most favorable from this aspect are the cases which include the UHT-TES, which provide both heat and electricity. Focusing exclusively on heat supply, the most preferable case from a technical performance aspect is the one which includes a heat pump and a LT-TES system, albeit not providing any electricity. On the other hand, the most advantageous only in terms of electricity supply is the case which includes the UHT-TES system.

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Section: Case 1a: Lt-tes With Electric Resistormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dynamic modeling and energy analysis of renewable heating and electricity systems at residential buildings using phase change material based heat storage technologies

Violidakis

Ατσόνιος

Iliadis

et al. 2020

Journal of Energy Storage

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show abstract

“…The demand response capability of commercial HVAC systems was explored for RES in [22]. Assessment of the capability of PV and energy storage to supply residential HVAC system was studied in [29] which shows that intelligent control can reduce the storage requirements. The authors in [30][31][32][33][34] proposed various algorithms and control methods for utilising thermostatically controlled loads to compensate the variations in RES.…”

Section: Smart Energy Storagementioning

confidence: 99%

Virtual energy storage capacity estimation using ANN‐based kWh modelling of refrigerators

2018

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Prolific integration of renewable energy sources (RESs) such as solar photovoltaic systems into the distribution network will result in various issues associated with their intermittent nature. Energy storage is a vital component for overcoming issues associated with the intermittent nature of such RES. Though stationary battery systems are used as energy storage for such applications, smart energy storage (SES) systems are also becoming popular owing to various advantages and advent of smart grid systems. SES can be achieved by aggregating electric vehicles (EVs) or by using demand response management for loads with large time constants. Aggregated residential refrigerators are potential candidates for creating SES which has virtual storage capacity, unlike EVs. In this study, residential refrigerators are modelled analogously to energy capacity and selfdischarge of electro-chemical batteries using the artificial neural network based kWh modelling. The model is further extended to estimate the virtual energy storage (VES) capacity with aggregated residential refrigerators; particularly in high-rise residential buildings. Simulation results are presented for scenarios covering the complete range of thermal capacity of typical refrigerators applicable in Singapore's climatic condition. Furthermore, a brief description of the possible applications for the estimated VES, pertaining to smart grid architecture and cyber-attack is also presented.

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“…For such applications, low input voltage from (PV) source need to be stepped-up. For example, in micro PV inverter, interfacing PV panel with a 230 VRMS grid requires the low PV voltage (typical around 30 VDC) to be stepped up to around 375-400 VDC [5,[9][10][11][12][13][14][15][16][17][18][19]. For such applications, the voltage boosting required is too high to be achievable using conventional basic boost DC-DC converter topology, hence there remains a necessity for modified topologies offering high voltage gain.…”

Section: Introductionmentioning

confidence: 99%

Comparative analysis of high voltage gain DC-DC converter topologies for photovoltaic systems

et al. 2019

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In this paper, a comparative analysis has been presented on various topologies of isolated and non-isolated DC-DC converters. Here, the major focus remains on transformer-less (TL) DC-DC converters, based on the conventional basic boost converter. In addition, to attain high voltage gain, a classification of non-isolated converters based on extendable and non-extendable design has been presented. For comparative and theoretical analysis, the parameters chosen are the number of components utilized by each converter topology, high voltage gain offered, voltage stresses on each component involved and the efficiency of the high gain topologies. For the converters under discussion, operation under ideal and non-ideal conditions has also been highlighted. Based on this study, authors present a guide for the reader to identify various high voltage gain topologies for photovoltaic (PV) systems.

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Assessing the potential of PV hybrid systems to cover HVAC loads in a grid-connected residential building through intelligent control

Cited by 42 publications

References 52 publications

Dynamic modeling and energy analysis of renewable heating and electricity systems at residential buildings using phase change material based heat storage technologies

Dynamic modeling and energy analysis of renewable heating and electricity systems at residential buildings using phase change material based heat storage technologies

Virtual energy storage capacity estimation using ANN‐based kWh modelling of refrigerators

Comparative analysis of high voltage gain DC-DC converter topologies for photovoltaic systems

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