Evaluation of electricity storage versus thermal storage as part of two different energy planning approaches for the islands Samsø and Orkney

Marczinkowski, Hannah Mareike; Østergaard, Poul Alberg

doi:10.1016/j.energy.2019.03.103

Cited by 56 publications

(36 citation statements)

References 38 publications

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“…4) is the Ballen marina located in Samsø (Denmark), where a smart energy system is being installed and tested in the framework of the Horizon2020 European research project SMILE [54]. Samsø was appointed in 1997 as Denmark's renewable energy island and has been the site for many energy innovations which are leading the island to be fossil fuel free by 2030 [56]- [58]. Today, the annual energy demand balances the annual supply from RES (sometimes the island produces more electricity than it consumes owing to offshore and onshore wind power, and a district heating based on biomass) but the island is currently not self-sufficient, yet.…”

Section: Parameters and Settingsmentioning

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: Parameters and Settingsmentioning

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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“…EnergyPLAN has been used in a high number of articles [23,24], including island studies on Korčula [11], Samsø [25][26][27], Gran Canaria [28], La Gomera [10], Flores [29], and Bornholm [30], to name a few.…”

Section: Energyplanmentioning

confidence: 99%

Transitioning Island Energy Systems—Local Conditions, Development Phases, and Renewable Energy Integration

2019

Self Cite

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Islands typically have sensitive energy systems depending on natural surroundings, but innovative technologies and the exploitation of renewable energy (RE) sources present opportunities like self-sufficiency, but also challenges, such as grid instability. Samsø, Orkney, and Madeira are in the transition to increase the RE share towards 100%—however, this is addressed in different ways depending on the local conditions and current development phases in the transition. Scenarios focusing on the short-term introduction of new technologies in the energy systems are presented, where the electricity sector is coupled with the other energy sectors. Here, both smart grid and sector-integrating solutions form an important part in the next 5–15 years. The scenarios are analyzed using the modeling tool EnergyPLAN, enabling a comparison of today’s reference scenarios with 2030 scenarios of higher RE share. By including three islands across Europe, different locations, development stages, and interconnection levels are analyzed. The analyses suggest that the various smart grid solutions play an important part in the transition; however, local conditions, sector integration, and balancing technologies even more so. Overall, the suggestions complement each other and pave the way to reach 100% RE integration for both islands and, potentially, other similar regions.

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“…Ferrari et al reviewed the studies to predict the buildings energy demand at district level. Marczinkowski and Ostergaard compared the electricity storage and thermal energy storage (TES) for different energy planning approaches. They emphasized that TES shows more advantages for all energy systems.…”

Section: Introductionmentioning

confidence: 99%

Potential use of thermal energy storage for shifting cooling and heating load to off‐peak load: A case study for residential building in Canada

Erdemir

Dinçer

2020

Energy Storage

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This study presents an investigation of the potential use of thermal energy storage for shifting cooling and heating loads to off-peak hours in order to balance the electricity production and demand periods. In Canada, the main energy source for cooling and heating applications is generally electricity. Therefore, cooling and heating devices have a great impact on the electricity peak load. In this study, it is considered that heating and cooling loads on the electricity peak load periods are shifted to off-peak hours by thermal energy storage systems. At the end of this study, it is observed that the thermal energy storage has great potential for shifting electricity peak load depending on cooling and heating load to off-peak periods. The electricity peak loads can be reduced by 25% and 45% by shifting heating and cooling loads to off-peak hours and doing storage. Furthermore, the thermal energy storage systems can help reduce both cooling and heating costs in Canadian dwellings by 20% and 18%, respectively. K E Y W O R D Scooling, cost assessment, heating, thermal energy storage

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Evaluation of electricity storage versus thermal storage as part of two different energy planning approaches for the islands Samsø and Orkney

Cited by 56 publications

References 38 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

Transitioning Island Energy Systems—Local Conditions, Development Phases, and Renewable Energy Integration

Potential use of thermal energy storage for shifting cooling and heating load to off‐peak load: A case study for residential building in Canada

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