A linear programming approach to the optimal utilization of renewable energy sources in buildings

Georgiou, Giorgos S.; Christodoulides, Paul; Georgiou, Avraam; Kalogirou, Soteris A.

doi:10.1109/upec.2017.8231968

Cited by 6 publications

(3 citation statements)

References 8 publications

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“…These reports are often differentiated by their particular emphasis, e.g., on maximizing the synergies between PV generation and EVs in minimizing the potential negative grid impacts of EVs [5]- [11], and/or on minimizing total energy costs [7]- [11] etc. Authors in [12]- [14] presented methods to minimize the cost of electricity for buildings integrated with stationary battery storage and solar PV generation. However, these studies did not account for charging and discharging of EVs while also ignoring the limitations of distributed generation capacity installation in high density residential buildings.…”

Section: A Literature Reviewmentioning

confidence: 99%

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Energy Management Systems for Residential Buildings With Electric Vehicles and Distributed Energy Resources

et al. 2021

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This paper proposes two electric energy management systems (EMSs) in the context of a gridconnected residential neighbourhood with electric vehicles (EVs), battery storage, and solar photovoltaic (PV) generation. The EMSs were developed to minimize the cost of electricity whilst having no impact on routine individual energy needs and travel patterns. The EMSs were evaluated using common sets of real data with the aim to compare the effectiveness of a centralized EMS with decentralized EMS. The models also accounted for the battery capacity degradation and the associated costs. Simulation studies and numerical analyses were presented to validate the effectiveness of the proposed EMSs considering a high-density residential building in Sydney, Australia. The simulation results indicate that the centralized EMS is more effective compared to the decentralized EMS in terms of cost savings. It is also observed that the energy management strategies significantly reduce the energy drawn from the grid compared to un-optimized energy management schemes.

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Section: A Literature Reviewmentioning

confidence: 99%

“…The SOC of stationary battery for the day-ahead scheduling are generally modelled in eqs. (11) and (12). Here, δ B t represent the SOC of stationary battery storage for time interval t. χ B represent the maximum capacity of the stationary battery.…”

Section: ) Stationary Battery Soc Modellingmentioning

confidence: 99%

Energy Management Systems for Residential Buildings With Electric Vehicles and Distributed Energy Resources

et al. 2021

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“…In this section we summarize research relevant to optimal utilization of solar PV, battery storage and EVs for buildings. Methods to minimize the cost of electricity in low density residential buildings containing some renewable energy generation and stationary storage were presented in [4]- [6]. The latter works did not consider the strong constraints on renewable generation capacity applicable in apartment buildings, nor did they consider charging and discharging of EVs.…”

Section: Literature Reviewmentioning

confidence: 99%

An aggregator-based-strategy to minimize the cost of energy consumption by optimal utilization of energy resources in an apartment building

Rafique

Nizami

Irshad

et al. 2019

2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Syst

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Buildings and transport consume two thirds of the total global energy. It is desirable to maximize the use of renewable generation in these sectors, and to optimize the use of that energy by managing diverse sources and loads. This is particularly challenging in high-density residential premises where the space for such infrastructure is limited, and storage can have significant impact on energy utilization and demand. In this paper, we have proposed an aggregator-based-strategy (ABS) to optimally utilize the available energy resources and storage in an apartment building with twenty households, each having an electric vehicle (EV), and an aggregated solar photovoltaic (PV) energy and stationary battery storage (BS) system. The strategy is flexible and can be applied to any building with EVs, solar PV and BS to minimize the cost of energy consumption without compromising the flexibility of energy usage or travel requirements. The model also accounts for the battery capacity degradation and its associated cost to make it more realistic. The model is evaluated using real data and the results show that the strategy not only reduces the cost of energy consumption but also reduces the amount of energy drawn from the grid significantly.

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A customer-based-strategy to minimize the cost of energy consumption by optimal utilization of energy resources in an apartment building

Rafique

Nizami

Irshad

et al. 2019

IOP Conf. Ser.: Earth Environ. Sci.

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Global energy consumption in heating and cooling of buildings and in the transport sector together accounts for approximately two-thirds of total energy consumption. Consequently, it is important to maximize the use of renewable generation energy in these sectors, and to optimize the use of that energy by managing diverse sources and loads. This is particularly challenging in high-density residential premises where the space for such infrastructure is limited, and storage can have significant impact on energy utilization and demand. In this paper, we describe a customer-based strategy (CBS) to optimize the usage of the available energy resources in such scenarios. The effectiveness of the strategy was validated for an apartment block of 20 households with photovoltaic generation (PV) and stationary battery storage (BS) systems, each with a vehicle-to-grid (V2G) capable electric vehicle (EV). The modelling used real data for customer demand and included the cost of battery degradation and expected vehicle usage in optimizing resource scheduling. Substantial savings in energy costs were shown to be possible for each customer.

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A linear programming approach to the optimal utilization of renewable energy sources in buildings

Cited by 6 publications

References 8 publications

Energy Management Systems for Residential Buildings With Electric Vehicles and Distributed Energy Resources

Energy Management Systems for Residential Buildings With Electric Vehicles and Distributed Energy Resources

An aggregator-based-strategy to minimize the cost of energy consumption by optimal utilization of energy resources in an apartment building

A customer-based-strategy to minimize the cost of energy consumption by optimal utilization of energy resources in an apartment building

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