A Two-Stage Approach for Efficient Power Sharing Within Energy Districts

Giordano, Andrea; Mastroianni, Carlo; Menniti, Daniele; Pinnarelli, Anna; Scarcello, Luigi; Sorrentino, N.

doi:10.1109/tsmc.2019.2902077

Cited by 16 publications

(11 citation statements)

References 26 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%

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%

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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show abstract

“…In [26], the authors proposed a two-stage DRp. The two-stage approach, differently from the typical single-stage adopted in the literature, allows us to improve the distribution of energy among the prosumers of the Power Cloud and to better exploit the local availability of renewable energy.…”

Section: -Second Phase: Demand Responsementioning

confidence: 99%

“…At the local level, each Power Cloud user is equipped with a SEB, which enables the interaction with the cloud level. The SEB implements the prosumer problem, as presented in [26], and provides the control commands to the nGfHA and to the home automation system, when it exists.…”

Section: The Unical Energy Cloud Information and Communication Technomentioning

confidence: 99%

“…The edge layer includes a set of servers (nodes), each of which contains two sublayers that provide the essential abstractions and functionalities for building the applications: the agent sublayer and the At the local level, each Power Cloud user is equipped with a SEB, which enables the interaction with the cloud level. The SEB implements the prosumer problem, as presented in [26], and provides the control commands to the nGfHA and to the home automation system, when it exists.…”

Section: The Unical Energy Cloud Information and Communication Technomentioning

confidence: 99%

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An Energy Community Implementation: The Unical Energy Cloud

Giordano¹,

Mastroianni²,

Menniti

et al. 2019

Electronics

Self Cite

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Reducing greenhouse gas emissions, limiting the effects of climate change and decreasing the environmental, social and economic costs of energy production are some of the main issues related to the sustainable development of modern society. Energy communities, envisioned to enable local energy exchange between consumers and producers of renewable energy, represent a possible scenario towards a cleaner and sustainable energy system. In this paper, an energy community management model called Power Cloud and presented in previous papers is proposed for a real-world practical application at the University of Calabria. In particular, the implementation of the information and communication technology (ICT) architecture and other enabling technologies, such as the nanogrid and the smart energy box, are discussed in detail. The experiment results show that by adopting the Power Cloud management model it is possible to obtain significant savings in terms of energy cost, which provide benefit for a community, such as a university campus.

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“…The reduced rate of the cooling and heating loads caused by changes to the design of building envelopes was analyzed and the results were used to estimate approximate reductions in GHG emissions. Similarly, energy savings in buildings with energy efficiency systems [50][51][52][53] (i.e., microgrid with renewable energy exchange, efficient power sharing within energy districts, robust energy scheduling, energy storage for communities, renewable energy technologies), energy sharing technologies [54][55][56], and zero-energy building technology [57] cannot be analyzed by the method proposed in this study. In other words, energy consumption with respect to energy efficiency and energy sharing, including HVAC system and plant equipment cannot be analyzed.…”

Section: Limitations and Future Workmentioning

confidence: 99%

An Analysis of the Effectiveness of Greenhouse Gas Reduction Policy for Office Building Design in South Korea

et al. 2019

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This paper examines the effectiveness of South Korea’s policy for reducing greenhouse gas (GHG) emissions in office buildings and evaluates if national targets can be met. A sample of office buildings was categorized into two groups—conventional (Group A) and new (Group B)—based on when their construction was approved. Furthermore, data regarding the three design elements of the building envelope, that is building form, window systems, and U-values were collected. By statistically processing data of each element, reference building models were developed and a case study was conducted for each building. Design changes that were incorporated, keeping in mind the GHG reduction policy, showed 13.1% of saving energy in case 8 (reference building of Group B) than case 1 (reference building of Group A). The savings in case 8 were more than the average GHG reduction rate (12.8%) compared to business as usual (BAU). However, case 4 (a conventional (Group A) building form with new (Group B) window systems and U-values) achieved the greatest savings in building loads. The policy to enhance insulation in new buildings to reduce GHG emissions in the building sector has prompted changes in building forms and window systems and has reduced emissions by 10%, that is 3% more than the expected value. Thus, new innovations in building envelope design could achieve an average 12.8% reduction in emissions in buildings.

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A Two-Stage Approach for Efficient Power Sharing Within Energy Districts

Cited by 16 publications

References 26 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

An Energy Community Implementation: The Unical Energy Cloud

An Analysis of the Effectiveness of Greenhouse Gas Reduction Policy for Office Building Design in South Korea

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