Control strategies for decreasing energy costs and increasing self-consumption in nearly zero-energy buildings

Fratean, Adrian; Dobra, Petru

doi:10.1016/j.scs.2018.03.019

Cited by 26 publications

(14 citation statements)

References 29 publications

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“…The literature reports several methods for energy scheduling. In general, two types of strategies can be found as described in detail in the sequel: offline scheduling [18]- [20] and real-time scheduling [22]- [30], [33]- [47]. In the offline setting, independently from the application area, the optimization is performed once for the whole time horizon prior to the start of the system operation.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Consequently, addressing the underlying uncertainty of the problem parameters is not possible [21]. To cope with this, another class of studies adopts real-time strategies taking into account uncertainty on forecast data to achieve a more flexible and effective energy scheduling [22]- [30], [33]- [47]. For example, a real-time cost-efficient residential load scheduling framework is developed in [22] where cost efficiency can vary with different consumption patterns and is sensitive to behaviors of loads.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The VPP is managed by an EMS which can strategically buy and sell energy in the energy market to optimize the aggregated power traded and utility [29]. Finally, Fratean and Dobra [30] analyze the contribution of different control methods to decreasing the energy consumption and increasing self-consumption in nearly zero-energy buildings. Simulation results related to different scenarios show that the MPC control achieves the best performance with respect to control methods [30].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Finally, Fratean and Dobra [30] analyze the contribution of different control methods to decreasing the energy consumption and increasing self-consumption in nearly zero-energy buildings. Simulation results related to different scenarios show that the MPC control achieves the best performance with respect to control methods [30]. Not surprisingly, among several promising advanced control system approaches, MPC has recently gained special attention in DSM of microgrid, since it allows to explicitly account for respecting the dynamics and constraints of the system while optimizing some given criteria [31].…”

Section: Literature Reviewmentioning

confidence: 99%

See 3 more Smart Citations

Energy scheduling of a smart microgrid with shared photovoltaic panels and storage: The case of the Ballen marina in Samsø

Carli

Dotoli

Jantzen

et al. 2020

Energy

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This paper focuses on the Model Predictive Control (MPC) based energy scheduling of a smart microgrid equipped with non-controllable (i.e., with fixed power profile) and controllable (i.e., with flexible and programmable operation) electrical appliances, as well as photovoltaic (PV) panels, and a battery energy storage system (BESS). The proposed control strategy aims at a simultaneous optimal planning of the controllable loads, the shared resources (i.e., the storage system charge/discharge and renewable energy usage), and the energy exchange with the grid. The control scheme relies on an iterative finite horizon on-line optimization, implementing a mixed integer linear programming energy scheduling algorithm to maximize the self-supply with solar energy and/or minimize the daily cost of energy bought from the grid under timevarying energy pricing. At each time step, the resulting optimization problem is solved providing the optimal operations of controllable loads, the optimal amount of energy to be bought/sold from/to the grid, and the optimal charging/discharging profile for the BESS. The proposed energy scheduling approach is applied to the demand side management control of the marina of Ballen, Samsø (Denmark), where a smart microgrid is currently being implemented as a demonstrator in the Horizon2020 European research project SMILE. Simulations considering the marina electric consumption (340 boat sockets, a service building equipped with a sauna and a wastewater pumping station, and the harbour master's office equipped with a heat pump), PV production (60kWp), and the BESS (237kWh capacity) based on a public real dataset are carried out on a one year time series with a 1 hour resolution. Simulations indicate that the proposed approach allows 90% exploitation of the production of the PV plant. Furthermore, results are compared to a naïve control approach. The MPC based energy scheduling improves the self-supply by 1.6% compared to the naïve control. Optimization of the business economy using the MPC approach, instead, yields to 8.2% savings in the yearly energy cost with respect to the naïve approach.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Energy scheduling of a smart microgrid with shared photovoltaic panels and storage: The case of the Ballen marina in Samsø

Carli

Dotoli

Jantzen

et al. 2020

Energy

View full text Add to dashboard Cite

show abstract

“…[3]. Therefore, initiatives aimed at rational and economical management of energy resources are important [4]. Reducing CO 2 emissions is considered one of the key tasks that we have to face in the near future [5].…”

Section: Introductionmentioning

confidence: 99%

The influence of a thermal bridge in the corner of the walls on the possibility of water vapour condensation

Miąsik

Lichołai

2018

E3S Web Conf.

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The article presents an analysis of temperature on an internal wall surface. Simulations on the external wall corner were also carried out. It is a place where the surface temperature is lower due to the thermal bridge effect. The calculations were performed with the ADINA program used for numerical simulations on heat transfer through divisional structures. Finite element analysis was employed to solve the task. The calculations were performed for five case studies with different corner structures and different methods of insulation. The baseline was a wall with the heat transfer coefficient U = 0,30 W/(m2K). The reason for selecting such a coefficient for analysis was due to the fact that in most Polish buildings thermal resistance of walls results from technical norms from before January 2014. The findings of the numerical simulations were used to determine the maximum relative humidity of the internal air where water vapour condensation may occur on the internal surface of the corner. The calculations were crucial to making a qualitative assessment of the employed solutions. The findings showed that it is possible to improve the thermal functioning of a wall in the corner thanks to an additional layer of thermal insulation, for example in the form of an avant-corps, placed within the corner.

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Polysulfone membranes with the improved antibacterial property via surface co‐deposition of dopamine and sodium polystyrene sulfonate

Zhang

Chen

Zhao

et al. 2021

J of Applied Polymer Sci

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Mussel‐inspired dopamine (DA) surface modification has been widely recognized as a promoting strategy to design and exploit valuable multifunctional materials. Herein, polysulfone porous membrane was modified by the co‐deposition of DA and sodium polystyrene sulfonate. In the case of extended duration of the reaction time, the water contact angle of the membrane decreased by 30 ° and the color of the modified membrane presented dark. The rejection rates of bovine serum albumin and lysozyme can close to 100% of the modified membrane and the bacteriostatic rate reached 100% at 18 h. In addition, the co‐deposited membrane performed well bactericidal and excellent antiadhesion to Escherichia coli. This work provides a simple way for the fabrication of an antibacterial surface.

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Control strategies for decreasing energy costs and increasing self-consumption in nearly zero-energy buildings

Cited by 26 publications

References 29 publications

Energy scheduling of a smart microgrid with shared photovoltaic panels and storage: The case of the Ballen marina in Samsø

Energy scheduling of a smart microgrid with shared photovoltaic panels and storage: The case of the Ballen marina in Samsø

The influence of a thermal bridge in the corner of the walls on the possibility of water vapour condensation

Polysulfone membranes with the improved antibacterial property via surface co‐deposition of dopamine and sodium polystyrene sulfonate

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