Journal articles: 'Residential Battery Energy Storage'

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A. Mustaza, M. S., M. A. M. Ariff, and Sofia Najwa Ramli. "An extensive review of energy storage system for the residential renewable energy system." Indonesian Journal of Electrical Engineering and Computer Science 18, no. 1 (April 1, 2020): 242. http://dx.doi.org/10.11591/ijeecs.v18.i1.pp242-250.

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Energy storage system (ESS) plays a prominent role in renewable energy (RE) to overcome the intermittent of RE energy condition and improve energy utilization in the power system. However, ESS for residential applications requires specific and different configuration. Hence, this review paper aims to provide information for system builders to decide the best setup configuration of ESS for residential application. In this paper, the aim is to provide an insight into the critical elements of the energy storage technology for residential application. The update on ESS technology, battery chemistry, battery charging, and monitoring system and power inverter technology are reviewed. Then, the operation, the pro, and cons of each variant of these technologies are comprehensively studied. This paper suggested that the ESS for residential ESS requires NMC battery chemistry because it delivers an all-rounded performance as compared to other battery chemistries. The four-stages constant current (FCC) charging technique is recommended because of the fast charging capability and safer than other charging techniques reviewed. Next, the battery management system (BMS) is recommended to adapt in advance machine learning method to estimate the state of charge (SOC), state of health (SOH) and internal temperature (IT) to increase the safety and prolong the lifespan of the batteries. Finally, these recommendations and solutions aimed to improve the utilization of RE energy in power system, especially in residential ESS application and offer the best option that is available on the shelf for the residential ESS application in the future.

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Stepaniuk, Viktor, Jayakrishnan Pillai, Birgitte Bak-Jensen, and Sanjeevikumar Padmanaban. "Estimation of Energy Activity and Flexibility Range in Smart Active Residential Building." Smart Cities 2, no. 4 (November 4, 2019): 471–95. http://dx.doi.org/10.3390/smartcities2040029.

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The smart active residential buildings play a vital role to realize intelligent energy systems by harnessing energy flexibility from loads and storage units. This is imperative to integrate higher proportions of variable renewable energy generation and implement economically attractive demand-side participation schemes. The purpose of this paper is to develop an energy management scheme for smart sustainable buildings and analyze its efficacy when subjected to variable generation, energy storage management, and flexible demand control. This work estimate the flexibility range that can be reached utilizing deferrable/controllable energy system units such as heat pump (HP) in combination with on-site renewable energy sources (RESs), namely photovoltaic (PV) panels and wind turbine (WT), and in-house thermal and electric energy storages, namely hot water storage tank (HWST) and electric battery as back up units. A detailed HP model in combination with the storage tank is developed that accounts for thermal comforts and requirements, and defrost mode. Data analytics is applied to generate demand and generation profiles, and a hybrid energy management and a HP control algorithm is developed in this work. This is to integrate all active components of a building within a single complex-set of energy management solution to be able to apply demand response (DR) signals, as well as to execute all necessary computation and evaluation. Different capacity scenarios of the HWST and battery are used to prioritize the maximum use of renewable energy and consumer comfort preferences. A flexibility range of 22.3% is achieved for the scenario with the largest HWST considered without a battery, while 10.1% in the worst-case scenario with the smallest HWST considered and the largest battery. The results show that the active management and scheduling scheme developed to combine and prioritize thermal, electrical and storage units in buildings is essential to be studied to demonstrate the adequacy of sustainable energy buildings.

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Galkin, Ilya A., Andrei Blinov, Maxim Vorobyov, Alexander Bubovich, Rodions Saltanovs, and Dimosthenis Peftitsis. "Interface Converters for Residential Battery Energy Storage Systems: Practices, Difficulties and Prospects." Energies 14, no. 12 (June 8, 2021): 3365. http://dx.doi.org/10.3390/en14123365.

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Recent trends in building energy systems such as local renewable energy generation have created a distinct demand for energy storage systems to reduce the influence and dependency on the electric power grid. Under the current market conditions, a range of commercially available residential energy storage systems with batteries has been produced. This paper addresses the area of energy storage systems from multiple directions to provide a broader view on the state-of-the-art developments and trends in the field. Present standards and associated limitations of storage implementation are briefly described, followed by the analysis of parameters and features of commercial battery systems for residential applications. Further, the power electronic converters are reviewed in detail, with the focus on existing and perspective non-isolated solutions. The analysis covers well-known standard topologies, including buck-boost and bridge, as well as emerging solutions based on the unfolding inverter and fractional/partial power converters. Finally, trends and future prospects of the residential battery storage technologies are evaluated.

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Ahmed, Nadia, Marco Levorato, Roberto Valentini, and Guann-Pyng Li. "Data Driven Optimization of Energy Management in Residential Buildings with Energy Harvesting and Storage." Energies 13, no. 9 (May 2, 2020): 2201. http://dx.doi.org/10.3390/en13092201.

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This paper presents a battery-aware stochastic control framework for residential energy management systems (EMS) equipped with energy harvesting, that is, photovoltaic panels, and storage capabilities. The model and control rationale takes into account the dynamics of load, the weather, the weather forecast, the utility, and consumer preferences into a unified Markov decision process. The embedded optimization problem is formulated to determine the proportion of energy drawn from the battery and the grid to minimize a cost function capturing a user-defined tradeoff between battery degradation and financial expense by user preferences. Numerical results are based on real-world weather data for Golden, Colorado, and load traces. The results illustrate the ability of the system to limit battery degradation assessed using the Rain flow counting method for lithium ion batteries.

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Goebel, Christoph, Vicky Cheng, and Hans-Arno Jacobsen. "Profitability of Residential Battery Energy Storage Combined with Solar Photovoltaics." Energies 10, no. 7 (July 11, 2017): 976. http://dx.doi.org/10.3390/en10070976.

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Regis, N., C. M. Muriithi, and L. Ngoo. "Optimal Battery Sizing of a Grid-Connected Residential Photovoltaic System for Cost Minimization using PSO Algorithm." Engineering, Technology & Applied Science Research 9, no. 6 (December 1, 2019): 4905–11. http://dx.doi.org/10.48084/etasr.3094.

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This paper proposes a new optimization technique that uses Particle Swarm Optimization (PSO) in residential grid-connected photovoltaic systems. The optimization technique targets the sizing of the battery storage system. With the liberation of power systems, the residential grid-connected photovoltaic system can supply power to the grid during peak hours or charge the battery during non-peak hours for later domestic use or for selling back to the grid during peak hours. However, this can only be achieved when the battery energy system in the residential photovoltaic system is optimized. The developed PSO algorithm aims at optimizing the battery capacity that will lower the operation cost of the system. The computational efficiency of the developed algorithm is demonstrated using real PV data from Strathmore University. A comparative study of a PV system with and without battery energy storage is carried out and the simulation results demonstrate that PV system with battery is more efficient when optimized with PSO.

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Förstl, Markus, Donald Azuatalam, Archie Chapman, Gregor Verbič, Andreas Jossen, and Holger Hesse. "Assessment of residential battery storage systems and operation strategies considering battery aging." International Journal of Energy Research 44, no. 2 (November 8, 2019): 718–31. http://dx.doi.org/10.1002/er.4770.

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Dhifli, Mehdi, Abderezak Lashab, Josep M. Guerrero, Abdullah Abusorrah, Yusuf A. Al-Turki, and Adnane Cherif. "Enhanced Intelligent Energy Management System for a Renewable Energy-Based AC Microgrid." Energies 13, no. 12 (June 24, 2020): 3268. http://dx.doi.org/10.3390/en13123268.

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This paper proposes an enhanced energy management system (EEMS) for a residential AC microgrid. The renewable energy-based AC microgrid with hybrid energy storage is broken down into three distinct parts: a photovoltaic (PV) array as a green energy source, a battery (BT) and a supercapacitor (SC) as a hybrid energy storage system (HESS), and apartments and electric vehicles, given that the system is for residential areas. The developed EEMS ensures the optimal use of the PV arrays’ production, aiming to decrease electricity bills while reducing fast power changes in the battery, which increases the reliability of the system, since the battery undergoes fewer charging/discharging cycles. The proposed EEMS is a hybrid control strategy, which is composed of two stages: a state machine (SM) control to ensure the optimal operation of the battery, and an operating mode (OM) for the best operation of the SC. The obtained results show that the EEMS successfully involves SC during fast load and PV generation changes by decreasing the number of BT charging/discharging cycles, which significantly increases the system’s life span. Moreover, power loss is decreased during passing clouds phases by decreasing the power error between the extracted power by the sources and the required equivalent; the improvement in efficiency reaches 9.5%.

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Winters, Jeffrey. "By The Numbers: Grid Energy Storage gets Cheaper." Mechanical Engineering 140, no. 04 (April 1, 2018): 28–29. http://dx.doi.org/10.1115/1.2018-apr-1.

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This article discusses introduction of modern technologies to enhance electric grid storage. The New York investment firm Lazard released an analysis of energy storage technologies, based on the levelized cost. The analysis looked at two different common battery chemistries—lithium-ion and lead-acid—as well as flow batteries. Lazard analyzed the cost of ‘behind the meter’ applications, such as battery backups for residential solar systems or businesses trying to save demand at peak times. Lazard expects lithium-ion storage prices to continue dropping over the next 5 years. It is expected that the cost of storage may soon become cheap enough to make the spotty service of wind and solar power an annoyance, not a deal-breaker.

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Worthmann, Karl, Christopher M. Kellett, Philipp Braun, Lars Grune, and Steven R. Weller. "Distributed and Decentralized Control of Residential Energy Systems Incorporating Battery Storage." IEEE Transactions on Smart Grid 6, no. 4 (July 2015): 1914–23. http://dx.doi.org/10.1109/tsg.2015.2392081.

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Chub, Andrii, Dmitri Vinnikov, Roman Kosenko, Elizaveta Liivik, and Ilya Galkin. "Bidirectional DC–DC Converter for Modular Residential Battery Energy Storage Systems." IEEE Transactions on Industrial Electronics 67, no. 3 (March 2020): 1944–55. http://dx.doi.org/10.1109/tie.2019.2902828.

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Parra, David, and Martin K. Patel. "The nature of combining energy storage applications for residential battery technology." Applied Energy 239 (April 2019): 1343–55. http://dx.doi.org/10.1016/j.apenergy.2019.01.218.

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Bagalini, V., B. Y. Zhao, R. Z. Wang, and U. Desideri. "Solar PV-Battery-Electric Grid-Based Energy System for Residential Applications: System Configuration and Viability." Research 2019 (October 8, 2019): 1–17. http://dx.doi.org/10.34133/2019/3838603.

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Distributed renewable energy share increase in electricity generation is creating challenges for the whole power system, due to its intermittent and nonprogrammable nature. Energy storage has the potential to solve those issues although its technical, economic, and environmental impact is up for debate. The paper presents a study about a PV-battery energy storage system installed in a grid-connected residential apartment in the Green Energy Laboratory at Shanghai Jiao Tong University, China. Daily experimental results show how the presence of energy storage reduces the midday feed-in of excess PV power and the evening peak demand, providing benefits to the distribution network in terms of reduced voltage swings and peak load. Considering the Chinese context, an economic analysis is carried out to assess the profitability of residential PV-battery systems, using the net present value as the economic indicator of an 18-year investment in which the battery pack is replaced twice (6 life years). The analysis shows that such system is not economically viable due to a combination of low electricity prices, valuable PV incentives, and high technology costs. However, considering a future scenario of doubled electricity tariff, halved export tariff, and falling technology costs (-66% battery and -17% PV and inverter), PV-battery investment becomes profitable and shows more resilience to future scenarios than PV-only investment.

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Xiong and Nour. "Techno-Economic Analysis of a Residential PV-Storage Model in a Distribution Network." Energies 12, no. 16 (August 8, 2019): 3062. http://dx.doi.org/10.3390/en12163062.

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The high penetration level of photovoltaic (PV) generation in distribution networks not only brings benefits like carbon savings, but also induces undesirable outcomes, like more harmonic components and voltage fluctuations. Driven by decreasing costs of energy storage, the focus of this paper is to investigate the feasibility of applying energy storage in the grid-connected PV system to mitigate its intermittency. Firstly, to appreciate the functionality of storage, a generic PV-battery-supercapacitor model was simulated in MATLAB/Simulink, and a flat load profile was obtained to enhance predictability from the network management point of view. However, the usage of supercapacitors at the residential level is limited, due to its high startup costs. Secondly, a detailed residential PV-battery model was implemented in the System Advisor Model (SAM) based on local data in Dubai. The optimal sizing of a battery system was determined by assessing two criteria: The number of excursions, and average target power, which are contradictory in optimization process. Statistical indicators show that a properly sized battery system can alleviate network fluctuations. The proposed sizing method can be also applied to other PV-storage systems. Finally, economic studies of PV-battery system demonstrated its competitiveness against standalone PV systems under appropriate tariff incentives.

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Vaz, Warren S. "Multiobjective Optimization of a Residential Grid-Tied Solar System." Sustainability 12, no. 20 (October 19, 2020): 8648. http://dx.doi.org/10.3390/su12208648.

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Residential customers are increasingly turning to solar energy as they are becoming more climate-conscious and solar energy is becoming more cost-effective. However, customers are often faced with myriad choices from retailers. The current retail landscape features several solar panel sizes, battery storage sizes, and technologies, and all of them come in a range of prices. The present study aims to present a strategy to optimize the choice for the customer taking two conflicting objectives into account: minimizing the cost and minimizing the carbon footprint. By presenting multiple nondominated (optimal) solutions based on the individual’s unique parameters, customers can make the optimal choice. Two disparate locations are examined: New York City, NY, USA and Phoenix, AZ, USA. Several variations are examined, including no battery storage, battery storage, and charging of an electric vehicle. The strategy was found to suitably highlight a variety of options that gave the best tradeoff between carbon emissions and cost. Metrics to compare nondominated fronts showed that a variable season charging time for the electric vehicle produced fronts that dominated a fixed season strategy by 6%. This strategy can be easily implemented by customers to avoid choosing improperly sized and priced residential solar systems.

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Parmeshwarappa, Purnima, Ravendra Gundlapalli, and Sreenivas Jayanti. "Power and Energy Rating Considerations in Integration of Flow Battery with Solar PV and Residential Load." Batteries 7, no. 3 (September 8, 2021): 62. http://dx.doi.org/10.3390/batteries7030062.

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Integration of renewable energy sources such as solar photovoltaic (PV) generation with variable power demand systems like residential electricity consumption requires the use of a high efficiency electrical energy system such as a battery. In the present study, such integration has been studied using vanadium redox flow battery (VRFB) as the energy storage system with specific focus on the sizing of the power and energy storage capacities of the system components. Experiments have been carried out with a seven-day simulated solar insolation and residential load characteristics using a 1 kW VRFB stack and variable amounts of electrolyte volume. Several scenarios have been simulated using power and energy scale factors. Battery response, in terms of its power, state of charge and efficiency, has been monitored in each run. Results show that the stack power rating should be based on peak charging characteristics while the volume of electrolyte should be based on the expected daily energy discharge through the battery. The PV source itself should be sized at about 25% more energy rating than the average daily load. The ability to design a VRFB with a high power-to-energy ratio makes it particularly attractive for PV-load integration.

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Et.al, N. Pooja. "Energy Management System Designed for Residential Grid connected Micro Grid." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (April 10, 2021): 4627–34. http://dx.doi.org/10.17762/turcomat.v12i3.1867.

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This paper presents an energy management system supported by PI Controller for a residential grid connected micro grid with renewable hybrid generation (wind and photo voltaic) and battery system. Modeling hybrid system includes non conventional energy sources given at sporadic supply conditions and dynamic energy demand, and to make conceptual energy storage with the help of battery system . Designing an appropriate scheme that dynamically changes modes of renewable integrated system based on the availability of RES power and changes in load. Wind,PV are the primary power supply of the system; battery is going to be act as a substitute.The PI controller is developed and carried out for the aimed hybrid(Wind and PV) energy system to integrate the non conventional energy sources to the serviceability either to grid or to Residential loads.main objective is improvement of transients during switching periods by using an efficient PI controller.maximum power point tracking is also other objective is energy management system designed for the residential grid connected Micro Grid. Simulations are carried out on the proposed Hybrid energy system using MATLAB/ SIMULINK.

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Eum, Jiyoung, and Yongki Kim. "Analysis on Operation Modes of Residential BESS with Balcony-PV for Apartment Houses in Korea." Sustainability 13, no. 1 (December 31, 2020): 311. http://dx.doi.org/10.3390/su13010311.

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The integration of battery energy storage systems (BESS) with renewable energy is a potential solution to address the disadvantages of renewable energy systems, which is irregular and intermittent power. In particular, residential BESS is advancing in numerous countries. The residential BESS connected to the photovoltaic system (PV) can store the PV power in the battery through charging, and supply the PV power, which was stored in the battery, to the load through discharging when there is no PV power. Therefore, the utilization of residential BESS with PV reduces the daily electric power consumption and the electricity bills that households have to charge. However, it is understood that there is no case of installing and using residential BESS in Korea yet. Most residential houses in Korea are apartment houses, and thus residential BESS can be used with balcony PV. This paper presents operation modes of residential BESS with balcony PV for apartment houses. The BESS capacity was estimated by considering the balcony PV capacity, which can be installed in households, and power consumption. The applicability of the residential BESS was analyzed through performance and economics evaluation under current and various conditions. The operation modes of BESS were divided into four types according to PV power supply priority and battery charging source, and a test took place in a demonstration house. The risk of fully discharging the battery has been discovered when PV power is first charged to the battery or when only PV power is charged with the battery. As a result, preferential charging of the battery with PV power and then with PV and grid power was found to be the most optimal operation mode. In addition, additional functions were proposed for residential BESS in apartment households. The results will contribute to effective application of residential BESS with balcony PV in the near future.

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Kermani, Mostafa, Erfan Shirdare, Saram Abbasi, Giuseppe Parise, and Luigi Martirano. "Elevator Regenerative Energy Applications with Ultracapacitor and Battery Energy Storage Systems in Complex Buildings." Energies 14, no. 11 (June 2, 2021): 3259. http://dx.doi.org/10.3390/en14113259.

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Due to the dramatic growth of the global population, building multi-story buildings has become a necessity, which strongly requires the installation of an elevator regardless of the type of building being built. This study focuses on households, which are the second-largest electricity consumers after the transportation sector. In residential buildings, elevators impose huge electricity costs because they are used by many consumers. The novelty of this paper is implementing a Hybrid Energy Storage System (HESS), including an ultracapacitor Energy Storage (UCES) and a Battery Energy Storage (BES) system, in order to reduce the amount of power and energy consumed by elevators in residential buildings. The control strategy of this study includes two main parts. In the first stage, an indirect field-oriented control strategy is implemented to provide new features and flexibility to the system and take benefit of the regenerative energy received from the elevator’s motor. In the second stage, a novel control strategy is proposed to control the HESS efficiently. In this context, the HESS is only fed by regenerated power so the amount of energy stored in the UC can be used to reduce peak consumption. Meanwhile, the BES supplies common electrical loads in the building, e.g., washing machines, heating services (both boiler and heat pump), and lighting, which helps to achieve a nearly zero energy building.

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Rotella Junior, Paulo, Luiz Célio Souza Rocha, Sandra Naomi Morioka, Ivan Bolis, Gianfranco Chicco, Andrea Mazza, and Karel Janda. "Economic Analysis of the Investments in Battery Energy Storage Systems: Review and Current Perspectives." Energies 14, no. 9 (April 27, 2021): 2503. http://dx.doi.org/10.3390/en14092503.

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Sources such as solar and wind energy are intermittent, and this is seen as a barrier to their wide utilization. The increasing grid integration of intermittent renewable energy sources generation significantly changes the scenario of distribution grid operations. Such operational challenges are minimized by the incorporation of the energy storage system, which plays an important role in improving the stability and the reliability of the grid. This study provides the review of the state-of-the-art in the literature on the economic analysis of battery energy storage systems. The paper makes evident the growing interest of batteries as energy storage systems to improve techno-economic viability of renewable energy systems; provides a comprehensive overview of key methodological possibilities for researchers interested in economic analysis of battery energy storage systems; indicates the need to use adequate economic indicators for investment decisions; and identifies key research topics of the analyzed literature: (i) photovoltaic systems with battery energy storage systems for residential areas, (ii) comparison between energy storage technologies, (iii) power quality improvement. The last key contribution is the proposed research agenda.

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Charoenwattana, Praphawadee, and Umarin Sangpanich. "Rooftop Photovoltaic-Battery Systems to Mitigate Overvoltage and Under Voltage in a Residential Low Voltage Distribution System." E3S Web of Conferences 190 (2020): 00028. http://dx.doi.org/10.1051/e3sconf/202019000028.

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High penetration of rooftop photovoltaic systems in a residential low voltage distribution system has to be controlled in order to maintain stable voltage condition. Energy storage systems, such as batteries, can be used to absorb excess energy of photovoltaic systems and to shave peak load during on-peak time. This paper proposes guiding principles for the incorporation of energy storage systems into a residential low voltage distribution system with high penetration of rooftop photovoltaic systems. Real residential distribution system circuits and all parameters from the Geographic Information System database of the Provincial Electricity Authority in Thailand were used for simulation analysis to study the application of energy storage systems for regulating voltage in a range of the nominal voltage by 10 %. Solar radiation data from the PVGIS were used. The voltage results were simulated by using the DIgSILENT Power Factory program. Based on the simulation, it was found that the overvoltage and under voltage protection and energy loss reduction could be achieved by (i) installing small battery systems in households and (ii) installing battery stations within the vicinity of the transformer or the weakest point of the circuit.

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Li, Jianing, Zhi Wu, Suyang Zhou, Hao Fu, and Xiao-Ping Zhang. "Aggregator service for PV and battery energy storage systems of residential building." CSEE Journal of Power and Energy Systems 1, no. 4 (December 2015): 3–11. http://dx.doi.org/10.17775/cseejpes.2015.00042.

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Afxentis, Stavros, Michalis Florides, Vasilis Machamint, Christos Yianni, Per Norgaard, Hendrik Bindner, Johannes Kathan, et al. "Energy class dependent residential battery storage sizing for PV systems in Cyprus." Journal of Engineering 2019, no. 18 (July 1, 2019): 4770–74. http://dx.doi.org/10.1049/joe.2018.9338.

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Cucchiella, Federica, Idiano D'Adamo, and Massimo Gastaldi. "Photovoltaic energy systems with battery storage for residential areas: an economic analysis." Journal of Cleaner Production 131 (September 2016): 460–74. http://dx.doi.org/10.1016/j.jclepro.2016.04.157.

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Kalkbrenner, Bernhard J. "Residential vs. community battery storage systems – Consumer preferences in Germany." Energy Policy 129 (June 2019): 1355–63. http://dx.doi.org/10.1016/j.enpol.2019.03.041.

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Lokar, Jan, and Peter Virtič. "Analysis of photovoltaic system with battery storage in winter period." E3S Web of Conferences 116 (2019): 00045. http://dx.doi.org/10.1051/e3sconf/201911600045.

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Energy sources as a solar, wind and water energy are used in production of electrical energy. Their biggest advantage is that they are renewable and they are sustainable. On the other hand, production from renewable energy sources is limited by environmental conditions. Production of photovoltaic systems are dependent on solar radiation, temperature, incidence angle, shadowing and other variable quantities. That is why designing of photovoltaic system is complex. In this paper a photovoltaic system production analysis and consumption analysis in residential house are presented. With real measured data the consumption and production are compared and energy balance equations, battery charge and discharge model are defined and behaviour of battery storage system through the one day are analysed. In addition, the reactive energy production and consumption are also analysed.

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Zou, Dazhong, Da Meng, Yinping Dai, Shuai Lu, and Huan Xie. "Optimal Charging Strategy of Electric Vehicles with Consideration of Battery Storage." E3S Web of Conferences 236 (2021): 02015. http://dx.doi.org/10.1051/e3sconf/202123602015.

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The high penetration of electric vehicles (EVs) will increase burden of a power grid. However, the expansion of capacity of distribution facilities is not always possible, especially in some old residential community. This paper proposes to use an optimal charging strategy of EVs with additional battery energy storage (BES) to improve the charging capabilities in a residential community. By modeling the EV charging behavior, the required charging capacity is evaluated using Monte Carlo method and the BES size is determined as the difference between the required capacity and the distribution capacity. An optimal charging strategy is then proposed to reduce the charging cost and ensure the safe running of distribution network.

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Kusakana, Kanzumba. "Optimal energy management of a residential grid-interactive Wind Energy Conversion System with battery storage." Energy Procedia 158 (February 2019): 6195–200. http://dx.doi.org/10.1016/j.egypro.2019.01.488.

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Carpinelli, Guido, Shahab Khormali, Fabio Mottola, and Daniela Proto. "Battery Energy Storage Sizing When Time of Use Pricing Is Applied." Scientific World Journal 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/906284.

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Battery energy storage systems (BESSs) are considered a key device to be introduced to actuate the smart grid paradigm. However, the most critical aspect related to the use of such device is its economic feasibility as it is a still developing technology characterized by high costs and limited life duration. Particularly, the sizing of BESSs must be performed in an optimized way in order to maximize the benefits related to their use. This paper presents a simple and quick closed form procedure for the sizing of BESSs in residential and industrial applications when time-of-use tariff schemes are applied. A sensitivity analysis is also performed to consider different perspectives in terms of life span and future costs.

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Ani, Vincent Anayochukwu. "Design of a Reliable Hybrid (PV/Diesel) Power System with Energy Storage in Batteries for Remote Residential Home." Journal of Energy 2016 (2016): 1–16. http://dx.doi.org/10.1155/2016/6278138.

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This paper reports the experience acquired with a photovoltaic (PV) hybrid system simulated as an alternative to diesel system for a residential home located in Southern Nigeria. The hybrid system was designed to overcome the problem of climate change, to ensure a reliable supply without interruption, and to improve the overall system efficiency (by the integration of the battery bank). The system design philosophy was to maximize simplicity; hence, the system was sized using conventional simulation tool and representative insolation data. The system includes a 15 kW PV array, 21.6 kWh (3600 Ah) worth of battery storage, and a 5.4 kW (6.8 kVA) generator. The paper features a detailed analysis of the energy flows through the system and quantifies all losses caused by PV charge controller, battery storage round-trip, rectifier, and inverter conversions. In addition, simulation was run to compare PV/diesel/battery with diesel/battery and the results show that the capital cost of a PV/diesel hybrid solution with batteries is nearly three times higher than that of a generator and battery combination, but the net present cost, representing cost over the lifetime of the system, is less than one-half of the generator and battery combination.

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Ivanov, Ovidiu, Bogdan-Constantin Neagu, Gheorghe Grigoras, Florina Scarlatache, and Mihai Gavrilas. "A Metaheuristic Algorithm for Flexible Energy Storage Management in Residential Electricity Distribution Grids." Mathematics 9, no. 19 (September 24, 2021): 2375. http://dx.doi.org/10.3390/math9192375.

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The global climate change mitigation efforts have increased the efforts of national governments to incentivize local households in adopting PV panels for local electricity generation. Since PV generation is available during the daytime, at off-peak hours, the optimal management of such installations often considers local storage that can defer the use of local generation to a later time. The energy stored in batteries located in optimal places in the network can be used by the utility to improve the operation conditions in the network. This paper proposes a metaheuristic approach based on a genetic algorithm that considers three different scenarios of using energy storage for reducing the energy losses in the network. Two cases considers the battery placement and operation under the direct control of the network operator, with single and multiple bus and phase placement locations. Here, the aim was to maximize the benefit for the whole network. The third case considers selfish prosumer battery management, where the storage owner uses the batteries only for their own benefit. The optimal design of the genetic algorithm and of the solution encoding allows for a comparative study of the results, highlighting the important strengths and weaknesses of each scenario. A case study is performed in a real distribution system.

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Ranaweera, Iromi, Ole-Morten Midtgård, and Magnus Korpås. "Distributed control scheme for residential battery energy storage units coupled with PV systems." Renewable Energy 113 (December 2017): 1099–110. http://dx.doi.org/10.1016/j.renene.2017.06.084.

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Olivieri, Zachary T., and Katie McConky. "Optimization of residential battery energy storage system scheduling for cost and emissions reductions." Energy and Buildings 210 (March 2020): 109787. http://dx.doi.org/10.1016/j.enbuild.2020.109787.

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Alqahtani, Nasser, and Nazmiye Balta-Ozkan. "Assessment of Rooftop Solar Power Generation to Meet Residential Loads in the City of Neom, Saudi Arabia." Energies 14, no. 13 (June 24, 2021): 3805. http://dx.doi.org/10.3390/en14133805.

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The economic and social development of the Kingdom of Saudi Arabia (KSA) has led to a rapid increase in the consumption of electricity, with the residential sector consuming approximately 50% of total electricity production. The KSA depends largely on non-renewable energy resources, and the government has produced Saudi Vision 2030. This plan aims to lessen the country’s reliance on fossil fuels and reduce associated problems such as air pollution. Saudi Vision 2030 combines renewable energy and new building designs so that, for example, the planned city of Neom will be net zero energy. This study addresses how best to reduce Neom’s reliance on the national grid through rooftop photovoltaic generation in residential buildings. The study develops a techno-economic model of rooftop PV with battery storage suitable for existing residential building types likely to be built in Neom city (villas, traditional houses, and apartments), and assesses the optimal PV size, battery storage capacity, and optimal orientation of the PV panels. The study used HOMER Pro to compute the Net Present Cost, Levelized Cost of Energy, orientation of PV panels, and optimum PV system size. The optimal size of PV system is 14.0 kW for the villa, 11.1 kW for the traditional dwelling, and 10.3 kW for the apartment, each with a single battery of capacity 12 kWh.

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Georgious, Ramy, Rovan Refaat, Jorge Garcia, and Ahmed A. Daoud. "Review on Energy Storage Systems in Microgrids." Electronics 10, no. 17 (September 2, 2021): 2134. http://dx.doi.org/10.3390/electronics10172134.

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Energy storage systems (ESSs) are gaining a lot of interest due to the trend of increasing the use of renewable energies. This paper reviews the different ESSs in power systems, especially microgrids showing their essential role in enhancing the performance of electrical systems. Therefore, The ESSs classified into various technologies as a function of the energy storage form and the main relevant technical parameters. In this review paper, the most common classifications are presented, summarized, and compared according to their characteristics. A specific interest in electrochemical ESSs, especially battery energy storage systems, focusing on their classifications due to their importance in the residential sector. Besides that, the benefits and drawbacks of Lithium-Ion (Li-Ion) batteries are discussed due to their significance. Finally, the environmental impact of these ESSs is discussed.

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Reimuth, Andrea, Veronika Locherer, Martin Danner, and Wolfram Mauser. "How Does the Rate of Photovoltaic Installations and Coupled Batteries Affect Regional Energy Balancing and Self-Consumption of Residential Buildings?" Energies 13, no. 11 (May 29, 2020): 2738. http://dx.doi.org/10.3390/en13112738.

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The strong expansion of residential rooftop photovoltaic (PV) and battery storage systems of recent years is expected to rise further. However, it is not yet clear to which degree buildings will be equipped with decentral energy producers. This study seeks to quantify the effects of different PV and battery installation rates on the residential residual loads and grid balancing flows. A land surface model with an integrated residential energy component is applied, which maintains spatial peculiarities and allows a building-specific set-up of PV systems, batteries, and consumption loads. The study area covers 3163 residential buildings located in a municipality in the south of Germany. The obtained results show minor impacts on the residual loads for a PV installation rate of less than 10%. PV installation rates of one third of all residential buildings of the study region lead to the highest spatial balancing via the grid. The rise in self-consumption when utilizing batteries leads to declined grid balancing between the buildings. For high PV installation rates, regional balancing diminishes, whereas energy excesses rise to 60%. They can be decreased up to 10% by the utilization of battery systems. Therefore, we recommend subsidy programs adjusted to the respective PV installation rates.

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Al-Sakkaf, Shehab, Mahmoud Kassas, Muhammad Khalid, and Mohammad A. Abido. "An Energy Management System for Residential Autonomous DC Microgrid Using Optimized Fuzzy Logic Controller Considering Economic Dispatch." Energies 12, no. 8 (April 17, 2019): 1457. http://dx.doi.org/10.3390/en12081457.

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This work presents the operation of an autonomous direct current (DC) DC microgrid for residential house controlled by an energy management system based on low complexity fuzzy logic controller of only 25-rules to manage the power flow that supply house load demand. The microgrid consists of photovoltaic (PV), wind turbine, fuel cell, battery energy storage and diesel generator. The size of the battery energy storage is determined based on the battery sizing algorithm depending on the generation of renewables during all seasons of the year in the eastern region of Saudi Arabia. Two scenarios are considered in this work. In the first scenario: the microgrid consists of solar PV, wind turbine, battery energy storage and fuel cell. The fuzzy logic controller is optimized using an artificial bee colony technique in order to increase the system energy saving efficiency and to reduce the cost. In the second scenario: wind turbine is replaced by a diesel generator, also the rated power of the fuel cell is reduced. In this scenario, a new method is proposed to reduce the generation cost of the dispatchable sources in the microgrid by considering economic dispatch within the optimized fuzzy logic energy management system. To obtain the most suitable technique for solving the economic dispatch problem, three optimization techniques were used which are particle swarm optimization, genetic algorithm and artificial bee colony based on real environmental data and real house load demand. A comparison in terms of energy saving between the two scenarios and a comparison in terms of cost reduction between conventional economic dispatch method and the proposed method are presented.

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Nørgaard, Jacob, Tamás Kerekes, and Dezso Séra. "Case Study of Residential PV Power and Battery Storage with the Danish Flexible Pricing Scheme." Energies 12, no. 5 (February 28, 2019): 799. http://dx.doi.org/10.3390/en12050799.

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The economic viability of renewable energy generation is vital for sustainability. Ensuring that optimal operation is always achieved, using energy management systems and control algorithms, is essential in this endeavor. Here, a new real-time pricing scheme, the Danish flexible pricing scheme, illustrates how residential PV and battery systems can optimize the electricity bill of households, without changing consumption behavior or providing grid services in exchange. This means that the only addition is PV production, storage, and control. A case study is constructed from Danish household consumption data, irradiance measurements, and recorded spot prices. With the input data, the pricing scheme, and the energy flow, simulation models are computed in MATLAB, thereby validating the algorithmic potential and finding the best strategy for charging and discharging the energy storage unit. Different methods are compared to list the viable options and evaluate them, based on the economic feasibility for the household. Furthermore, a discussion of the system implementation is also included to highlight technical difficulties, co-integration opportunities, short-comings, and advantages present in the case study. In conclusion, it is possible to make renewable energy generation, and storage, viable for a Danish residential household under the new pricing scheme.

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Pereira, Lucas, Jonathan Cavaleiro, and Luísa Barros. "Economic Assessment of Solar-Powered Residential Battery Energy Storage Systems: The Case of Madeira Island, Portugal." Applied Sciences 10, no. 20 (October 21, 2020): 7366. http://dx.doi.org/10.3390/app10207366.

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This paper presents an economic assessment of introducing solar-powered residential battery energy storage in the Madeira Island electric grid, where only micro-production for self-consumption is currently allowed. The evaluation was conducted against six local micro-producers using one year of energy consumption and solar photovoltaic production measurements and two distinct storage control strategies. Several inverter sizes and storage capacities were considered based on the six micro-producers’ consumption and production profiles. The results were then analyzed concerning year-long simulations and a projection for the next ten years. To this end, several indicators were assessed, including self-consumption, profit per Euro invested, number of cycles and storage degradation. The results obtained show that, despite the benefits of storage to increase the self-consumption rates, considerable drops in the storage prices are still necessary to achieve profitability during these devices’ lifetime. Furthermore, our results also highlight a very interesting trade-off between self-consumption, pre-charge and profitability, in a sense that higher levels of pre-charge increase the chances of reaching profitability even though this will imply considerable drops in the levels of self-consumption.

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Jing, Wen Long, Chean Hung Lai, Wallace Shun Hui Wong, and Dennis M. L. Wong. "Smart Hybrid Energy Storage for Stand-Alone PV Microgrid: Optimization of Battery Lifespan through Dynamic Power Allocation." Applied Mechanics and Materials 833 (April 2016): 19–26. http://dx.doi.org/10.4028/www.scientific.net/amm.833.19.

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Battery as the key component in stand-alone PV microgrid system tends to be the most vulnerable element in terms of durability. Poorly managed battery charge/discharge process turns out to be one of the main life-limiting factors. To improve the longevity of battery storage system, a novel energy storage system topology and its smart power management strategy is presented in this paper. This paper proposes a stand-alone 6 kW PV microgrid system with hybrid energy storage system that combines supercapacitors and batteries. Smart power allocation strategy among the SC and the battery modules is designed to dynamically allocate the power to optimally charge/discharge the batteries while fulfilling the variations in supply and load. The performance of the proposed system is evaluated via model simulation using Matlab/Simulink. The system is simulated under a typical 24-hours residential load profile and the results proved that the proposed system can provide sufficient power to regulate the fluctuations in supply and load. During the process, the batteries are charged / discharged with ideal charge rate and operated under a low depth-of-discharge that have proven to prolong the battery lifetime.

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Galatsopoulos, Charalampos, Simira Papadopoulou, Chrysovalantou Ziogou, Dimitris Trigkas, and Spyros Voutetakis. "Optimal Operation of a Residential Battery Energy Storage System in a Time-of-Use Pricing Environment." Applied Sciences 10, no. 17 (August 29, 2020): 5997. http://dx.doi.org/10.3390/app10175997.

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Premature ageing of lithium-ion battery energy storage systems (BESS) is a common problem in applications with or without renewable energy sources (RES) in the household sector. It can result to significant issues for such systems such as inability of the system to cover load demand for a long period of time. Consequently, the necessity of limiting the degradation effects at a BESS leads to the development and application of energy management strategies (EMS). In this work, EMSs are proposed in order to define optimal operation of a BESS without RES under time-of-use (ToU) tariff conditions. The objective of the developed EMSs is to reduce the capacity loss at the BESS in order to extend its lifetime expectancy and therefore increase the economic profit in the long-term. The EMSs utilize a widely used battery mathematical model which is experimentally validated for a specific BESS and a battery degradation mathematical model from the literature. Indicative simulation results of the proposed strategies are presented. The outcomes of these simulated scenarios illustrate that the objectives are achieved. The BESS operates efficiently by preventing premature ageing and ensuring higher economic profit at the long term.

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Moncecchi, Matteo, Alessandro Borselli, Davide Falabretti, Lorenzo Corghi, and Marco Merlo. "Numerical and Experimental Efficiency Estimation in Household Battery Energy Storage Equipment." Energies 13, no. 11 (May 28, 2020): 2719. http://dx.doi.org/10.3390/en13112719.

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Battery energy storage systems (BESS) are spreading in several applications among transmission and distribution networks. Nevertheless, it is not straightforward to estimate their performances in real life working conditions. This work is aimed at identifying test power profiles for stationary residential storage applications capable of estimating BESS performance. The proposed approach is based on a clustering procedure devoted to group daily power profiles according to their battery efficiency. By performing a k-means clustering on a large dataset of load and generation profiles, four standard charge/discharge profiles have been identified to test BESS’ performances. Different clustering approaches have been considered, each of them splitting the dataset according to different properties of the profiles. A well-performing clustering approach resulted, based on the adoption of reference parameters for the clustering process of the maximum power exchanged by the BESS and the variation of battery energy content. Firstly, the results have been proven through a numerical procedure based on a BESS electrical model and on the definition of a key performance index. Then, an experimental validation has been carried out on a pre-commercial sodium-nickel chloride BESS: this device is available in the IoT lab of Politecnico di Milano within the H2020 InteGRIDy project.

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Aycı, Doğukan, Ferhat Öğüt, Ulaş Özen, Bora Batuhan İşgör, and Sinan Küfeoğlu. "Energy Optimisation Models for Self-Sufficiency of a Typical Turkish Residential Electricity Customer of the Future." Energies 14, no. 19 (September 27, 2021): 6163. http://dx.doi.org/10.3390/en14196163.

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This paper utilises a two-stage demand response-enabled energy management algorithm for a typical Turkish self-sufficient living space. The proposed energy management model provides an additional gain in line with the goal of self-sufficiency by scheduling flexible loads and energy storage systems at home according to a static time of use tariff. The impact of load scheduling and battery optimisation were evaluated in the scope of self-sufficiency, economic gain and return on investment performances. According to the results, the proposed two-stage structure provided a net saving increase of 9.5% in the one-battery scenario, and it rises to 14% in the design with three batteries. On the other hand, when we inspect the energy management scenarios with the return on investment (ROI) calculations, we see that the single battery system has a higher ROI than the two or three battery systems due to the increased battery cost. Moreover, the ROI value, 13.9% without optimisation, increased to 15.3% in the proposed Home Energy Management System (HEMS) model. As can be seen from this calculation, intelligent management of batteries and flexible loads provided a 10% increase in ROI value.

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Bharti, Pradeep, and A. K. Sharma. "EXPERIMENTAL STUDY AND ANALYSIS OF SOLAR ENERGY SYSTEM WITH GRID." International Journal of Engineering Technologies and Management Research 4, no. 3 (January 31, 2020): 27–29. http://dx.doi.org/10.29121/ijetmr.v4.i3.2017.85.

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In this paper , we are discuss about the solar power and grid connection , in this way we are use the various component such as PV Cells battery inverter, and grid power , after that all component are assembled . This system is optimized design of grid-connected PV system with storage, which is suitable for appliances. This system has requires less installment cost and supplies residential loads with the grid.

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Barcellona, Simone, Luigi Piegari, Vincenzo Musolino, and Christophe Ballif. "Economic viability for residential battery storage systems in grid‐connected PV plants." IET Renewable Power Generation 12, no. 2 (September 12, 2017): 135–42. http://dx.doi.org/10.1049/iet-rpg.2017.0243.

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Moradpour, Milad, Pooya Ghani, Santolo Meo, and Gianluca Gatto. "A Battery Energy Storage System for Single-Phase Residential Application with Paralleled GaN Devices." International Review on Modelling and Simulations (IREMOS) 11, no. 6 (December 31, 2018): 414. http://dx.doi.org/10.15866/iremos.v11i6.17114.

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Celik, A. N., T. Muneer, and P. Clarke. "Optimal sizing and life cycle assessment of residential photovoltaic energy systems with battery storage." Progress in Photovoltaics: Research and Applications 16, no. 1 (2007): 69–85. http://dx.doi.org/10.1002/pip.774.

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Mishra, Partha Pratim, Aadil Latif, Michael Emmanuel, Ying Shi, Killian McKenna, Kandler Smith, and Adarsh Nagarajan. "Analysis of degradation in residential battery energy storage systems for rate-based use-cases." Applied Energy 264 (April 2020): 114632. http://dx.doi.org/10.1016/j.apenergy.2020.114632.

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Darcovich, K., E. R. Henquin, B. Kenney, I. J. Davidson, N. Saldanha, and I. Beausoleil-Morrison. "Higher-capacity lithium ion battery chemistries for improved residential energy storage with micro-cogeneration." Applied Energy 111 (November 2013): 853–61. http://dx.doi.org/10.1016/j.apenergy.2013.03.088.

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Zakeri, Behnam, Samuel Cross, Paul E. Dodds, and Giorgio Castagneto Gissey. "Policy options for enhancing economic profitability of residential solar photovoltaic with battery energy storage." Applied Energy 290 (May 2021): 116697. http://dx.doi.org/10.1016/j.apenergy.2021.116697.

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Journal articles on the topic 'Residential Battery Energy Storage'

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