Relevant bibliographies by topics / Residential Battery Energy Storage

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Residential Battery Energy Storage'

Author: Grafiati
Published: 23 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "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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Dissertations / Theses on the topic "Residential Battery Energy Storage"

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Gomez, Fabrizio. "Optimization of a grid connected residential battery storage system in Sweden : Home Energy Management System Approach." Thesis, Högskolan i Halmstad, Akademin för ekonomi, teknik och naturvetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-36927.

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The market for energy production has experienced relevant changes to reach more sustainable characteristics, during the last two decades. In this context, residential photovoltaic (PV) system has gained popularity as a practical and profitable alternative to complement the electric supply from the grid. In the same line, the seasonal and variable nature of PV supply generates an interest in BESS-battery energy storage systems.The aim with this thesis is to investigate HEMS-home energy management system for a residential electricity production using PV and storage in Sweden. HEMS allows residential customer and producer to sell or buy energy to minimize the final electricity bill. The capacityof BESS and the scheduling are optimized by using a proposed algorithm. Results gained indicate that factors such as household electricity demand and allocation during the day, electricity price, and tariff scheme are the critical variables to consider in the design of the BESS system. Optimal battery capacities obtained are within the range of available battery market stock-sizes. However, several of the standard battery capacities of the leading manufacturers are oversized for this case. For Swedish context, a BESS installation cost below 270 €/kWh generates saving on the annual electricity bill of having BESS in comparison with not using BESS. In addition, the daily charge of EV, electric vehicle, was studied to see if a higher demand for household electricity could generate an optimal capacity and higher savings.
Marknaden för energiproduktionhar under de senaste två decenniernagenomgått förändringar för att bli mer hållbar. I detta sammanhang har solcell-system eller photovoltaic, PVför elproduktion i bostäder blivit ett praktiskt och lönsamt alternativ för att komplettera elförsörjning från elnätet. Solcellernas produktion är dock säsongsbetonadoch varierar även över dygnet varför system för lagring av el i batterier s.k. BESS blir intressant.Syftet med denna uppsatsär att undersöka HEMS, ett hushålls system för hantering avel-generering med solcelleroch batterilagring i Sverige. HEMS tillåter bostadskunder och producent att sälja ochköpa elför att minimera den slutliga elräkningen. Kapaciteten för BESSoch schemaläggning optimeras med hjälp av en föreslagen algoritm. De uppnådda resultaten tyder på att faktorer som efterfrågan på hushållsel och fördelning under dagen, elpriset och systemen för taxaär de kritiska variablernaatt beakta vid utformningen av BESS. Optimal batterikapacitet som uppnåtts ligger inom området för, på marknaden, tillgängliga batteristorlekar. Flera av de vanligaste batteriernas kapacitet,hos de ledande tillverkarna,är dock överdimensionerade. För svenska sammanhang genererar en BESS-installationskostnad under 270 € / kWh besparingar på den årliga elräkningen i jämförelse med att inte använda BESS. Som tillägg studerades daglig laddning av en elbil för att se om ett större elbehov kunde generera en mer optimal kapacitet och än större besparinga
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Reimuth, Andrea [Verfasser], and Wolfram [Akademischer Betreuer] Mauser. "The role of residential photovoltaic-coupled battery storages in the energy system from a regional perspective : a spatiotemporal assessment of residential photovoltaic and battery storage systems and their effects on the energy flows / Andrea Reimuth ; Betreuer: Wolfram Mauser." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2020. http://d-nb.info/1223849937/34.

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Rinaldi, Luca. "Techno-economic analysis for a photovoltaic system with Lithium-Ion battery energy storage for a residential house in Valencia-Spain." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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This thesis deals with a techno economic analysis of a hybrid photovoltaic(PV)-battery energy storage (BES) system. A first view is taken on the technologies and prices of the main components need, inverter, photovoltaic panels and batteries, and the possible configuration of the plant. Before proceeding with the complete analysis simulating an entire year, a comparison between an analysis made with measures based on 5 seconds time step, with the data taken in a residential hours and a PV plant in Valencia over a week, and on 15 minutes time step is done. The will is to prove the reliability of the latter one, which is way faster and lighter. Proved its reliability, an analysis over an entire year with a time step of 15 minutes is carried out to evaluate the economic profitability of a hybrid PV-BES plant. With the results it will be possible to see that, even if a plant with batteries has a positive Net Present Value (NPV), a system with PV panels only is more convenient.
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Berg, Agnes, and Emelie Detert. "Implementation of Battery Energy Storage Systems in Residential Buildings : A case study of a multifamily building in southern Sweden, exploring profitability, self-sufficiency and environmental performance." Thesis, Linköpings universitet, Energisystem, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176780.

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Energy storage is of increasing interest as an enabler of incorporating renewable intermittent power in the power systems globally. There are several technologies for energy storage, and this thesis focuses on battery energy storage systems (BESS). Previous research has shown that it is difficult to install BESS with a payback time within the battery lifetime, making it a challenge to realise profitable investments. The complexity of developing an optimal control of the battery is also documented in research as another challenge. Optimal sizing of the BESS could be a solution to the challenge of reaching profitability. The thesis is identifying and analysing some important technical and energy-related parameters affecting the performance of BESS installations. Identification and analysis of parameters affecting the performance will help build insight into the optimization of BESS and help enable the development of more efficient sizing and operation. By developing an algorithm simulating the BESS when controlled using two different strategies, this thesis additionally contributes to the research by displaying the complexity of battery control, which is realised by the energy management system (EMS). Thereby the thesis is adding to the research base for the future development of smarter and more optimal EMS. The main research methodologies used in the thesis was a literature study and a case study. The results suggested that the energy management strategy used in the battery control was gravely affecting the performance in terms of economic profitability, self-sufficiency and environmental impact. It was also implied that it is difficult to develop an efficient battery control to reach the full potential of the storage system. The main conclusions in this paper are that the most important parameters to consider when implementing a battery storage in a residential multifamily building are battery technology, battery capacity, building load, renewable energy generation, energy management strategy as well as the electricity prices and investment cost. The energy management strategy most favourable for the case building studied was found to be a combination of optimizing the self-sufficiency and performing peak shaving. It would also be preferable to further develop the battery control to also take electricity prices and balance services into consideration. For this, AI and machine learning could be integrated in the control of the system. According to the case study results, the lithium ion battery technology had better potential for reaching economic profitability while the nickel metal hydride technology showed better potential in terms of environmental performance. The choice of battery technology and energy management strategy should however be adjusted to the customer specific demands and prerequisites.
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Baumann, Lars. "Improved system models for building-integrated hybrid renewable energy systems with advanced storage : a combined experimental and simulation approach." Thesis, De Montfort University, 2015. http://hdl.handle.net/2086/11103.

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The domestic sector will play an important role in the decarbonisation and decentralisation of the energy sector in the future. Installation numbers of building-integrated small-scale energy systems such as photovoltaics (PV), wind turbines and micro-combined heat and power (CHP) have significantly increased. However, the power output of PV and wind turbines is inherently linked to weather conditions; thus, the injected power into the public grid can be highly intermittent. With the increasing share of renewable energy at all voltage levels challenges arise in terms of power stability and quality. To overcome the volatility of such energy sources, storage technologies can be applied to temporarily decouple power generation from power consumption. Two emerging storage technologies which can be applied at residential level are hydrogen systems and vanadium-redox-flow-batteries (VRFB). In addition, the building-integrated energy sources and storage system can be combined to form a hybrid renewable energy system (HRES) to manage the energy flow more efficiently. The main focus of this thesis is to investigate the dynamic performance of two emerging energy storage technologies, a hydrogen loop composed of alkaline electrolyser, gas storage and proton exchange membrane (PEM) fuel cell, and a VRFB. In addition, the application of building-integrated HRES at customer level to increase the self-consumption of the onsite generated electricity and to lower the grid interaction of the building has been analysed. The first part deals with the development of a research test-bed known as the Hybrid Renewable Energy Park (HREP). The HREP is a residential-scale distributed energy system that comprises photovoltaic, wind turbine, CHP, lead acid batteries, PEM fuel cell, alkaline electrolyser and VRFB. In addition, it is equipped with programmable electronic loads to emulate different energy consumption patterns and a charging point for electric vehicles. Because of its modular structure different combinations of energy systems can be investigated and it can be easily extended. A unified communication channel based on the local operating network (LON) has been established to coordinate and control the HREP. Information from the energy systems is gathered with a temporal resolution of one second. Integration issues encountered during the integration process have been addressed. The second part presents an experimental methodology to assess the steady state and dynamic performance of the electrolyser, the fuel cell and the VRFB. Operational constrains such as minimum input/output power or start-up times were extracted from the experiments. The response of the energy systems to single and multiple dynamic events was analysed, too. The results show that there are temporal limits for each energy system, which affect its response to a sudden load change or the ability to follow a load profile. Obstacles arise in terms of temporal delays mainly caused by the distributed communication system and should be considered when operating or simulating a HRES at system level. The third part shows how improved system models of each component can be developed using the findings from the experiments. System models presented in the literature have the shortcoming that operational aspects are not adequately addressed. For example, it is commonly assumed that energy systems at system level can respond to load variations almost instantaneously. Thus, component models were developed in an integrated manner to combine theoretical and operational aspects. A generic model layout was defined containing several subsystems, which enables an easy implementation into an overall simulation model in MATLAB®/Simulink®. Experimental methods were explained to extract the new parameters of the semi-empirical models and discrete operational aspects were modelled using Stateflow®, a graphical tool to formulate statechart diagrams. All system models were validated using measured data from the experimental analysis. The results show a low mean-absolute-percentage-error (<3%). Furthermore, an advanced energy management strategy has been developed to coordinate and to control the energy systems by combining three mechanisms; statechart diagrams, double exponential smoothing and frequency decoupling. The last part deals with the evaluation, operation and control of HRES in the light of the improved system models and the energy management strategy. Various simulated case studies were defined to assess a building-integrated HRES on an annual basis. Results show that the overall performance of the hydrogen loop can be improved by limiting the operational window and by reducing the dynamic operation. The capability to capture the waste heat from the electrolyser to supply hot water to the residence as a means of increasing the overall system efficiency was also determined. Finally, the energy management strategy was demonstrated by real-time experiments with the HREP and the dynamic performance of the combined operation has been evaluated. The presented results of the detailed experimental study to characterise the hydrogen loop and the VRFB as well as the developed system models revealed valuable information about their dynamic operation at system level. These findings have relevance to the future application and for simulation studies of building-integrated HRES. There are still integration aspects which need to be addressed in the future to overcome the proprietary problem of the control systems. The innovations in the HREP provide an advanced platform for future investigations such as electric-vehicles as decentralised mobile storage and the development of more advanced control approaches.
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Appen, Jan von [Verfasser]. "Sizing and operation of residential photovoltaic systems in combination with battery storage systems and heat pumps / Jan von Appen." Kassel : Kassel University Press, 2018. http://d-nb.info/1169947344/34.

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Goncalves, Sofia. "Feasibility study of an EV management system to provide Vehicle-to-Building considering battery degradation." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-247624.

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The recent increase of electric cars adoption will inuence the electricity demand in the distributionnetworks which risks to be higher than the maximum power available in the grid, if not well planned. Forthis reason, it is on the DSOs and TSOs's interest to plan carefully coordinated charging of a bulk of EVsas well as assess the possibility of EVs acting as energy storages with the Vehicle-to-Grid (V2G) or Vehicleto-Building (V2B) capability. When parked and plugged into the electric grid, EVs will absorb energy andstore it, being also able to deliver electricity back to the grid/building (V2G/B system).This can be anoptimized process, performed by an aggregator, gathering multiple EVs that discharge the battery into thegrid at peak time and charge when there is low demand i.e. overnight and o-peak hours.Numerous studies have investigated the possibility of aggregating multiple EVs and optimizing theircharging and discharging schedules for peak load reduction or energy arbitrage with participation in theelectricity market. However, no study was found for optimizing a shared eet of EVs with daily reservationsfor dierent users trying to perform V2B. In this study an optimization modelling algorithm (mixed integerlinear problem - MILP) that manages the possible reservations of the shared eet of EVs, coordinates thecharging and discharging schedules, and provides V2B (Vehicle-to-Building), with the objective of minimizingenergy costs and accounting with battery ageing has been developed. A case study with real data for abuilding is carried out modelling dierent number of EVs for two dierent days in year 2017, one in Marchand other in June.Results show that the prots are higher for all cases when introducing V2B as compared to a no optimizationscenario: V2B with battery degradation (50 ore/kWh) has decreased daily variable electricity costsbetween 54 and 59% in March and 60 and 63% for June when compared without smart charging. Integrationof battery degradation cost in V2B applications is necessary and inuences signicantly the chargingand discharging strategies adopted by EV and nally the total daily costs: The total daily cost increaseby maximal 10% for the day in March and 13% for the day in June when comparing the scenario that hasstationary battery and uses only-charging model for EVs with the scenario applying V2B mode consideringa degradation cost of 80 ore/kWh.
Ö kningen av antalet elbilar kommer att påverka lasten i elnätet som riskerar att bli högre än kapacitetom det inte är väl planerat. Därför är det i elnätsföretags intresse att samordna laddningen av de flesta elbilarna samt att utvärdera möjligheterna att använda elbilar som energilager gentemot elnätet (Vehicleto-Grid,V2G) eller byggnader (Vehicle-to-Building, V2B). Vid parkering och anslutning till elnätet kommer elbilar att ladda energi och lagra den, samtidigt de kan leverera el tillbaka till elnätet eller byggnaden (V2G/V2B). Detta kan vara en optimerad process som utförs av en aggregator genom att ladda flera elbilar i låglasttimmar och ladda ur dem under höglasttimmar.Många studier har undersökt möjligheten att aggregera flera elbilar och optimera laddningsoch urladdningsplaner för topplastreduktion eller energiarbitrage på elmarknaden. Ingen studie har dock hittats för att optimera en gemensam flotta av elbilar med dagliga reservationer för olika användare som försöker utföra V2B. Denna studie har utvecklat en optimeringsmodell (blandad heltalsprogrammering MILP) som hanterar möjliga reservationer av en flotta av elbilar, koordinerar laddning och urladdning planering, och utför V2B för att minimera energikostnader med hänsyn till batteriets åldrande. En fallstudie för en byggnad genomfördes modellering av olika antal elbilar för två dagar 2017, en i mars och andra i juni.Resultaten visar att vinsten är högre i samtliga fall då man introducerar V2B jämfört med scenario utan optimering: V2B med batteriladdningskostnad 50 öre/kWh minskade dagliga rörliga elkostnader mellan 54% och 59% i mars och mellan 60% och 63% i juni jämfört med utan smart laddning. Att inkludera batteriladdningskostnaden i V2B-applikationer är nödvändigt och har en signifikant inverkan på laddningsstrategierna och de totala kostnaderna: De totala dagliga kostnaderna ökar med upp till 10% i mars och upp till 13% i juni då man jämför scenariot att bara ladda elbilar och ha stationärt batteri med scenariot V2B med hänsyntill batteriladdningskostnad 80 öre/kWh.
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Westerberg, Jacob. "Active Phase Balancing and Battery Systems for Peak Power Reduction in Residential Real Estate : An Economic Feasibility Study." Thesis, KTH, Industriell Management, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-272974.

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Research has shown that three-phase balancing alone can improve the operation of secondary distribution networks and that the addition of energy storage to the phase balancing power electronics further helps to alleviate the negative effects of phase unbalances. However, less attention has been paid to the economic potential of said technologies and particularly for loadside implementation. It appears that the deployment of phase balancers, with or without energy storage, is indeed hampered by uncertainty related to its economic feasibility, despite both technologies being commercially available. This thesis therefore aims to assess and compare the economic feasibility of the two configurations for peak shaving purposes in the context of residential property loads in Sweden. The assessment was performed using a specially developed deterministic techno-economic model taking into consideration historical load data from three Swedish real estate, cost estimations for a range of alternatives used when sizing the systems, applicable tariffs and fees for electricity and its distribution as well as technical parameters such as the capacities and efficiencies of the involved components. A novel approach was taken by linearly extrapolating the three load profiles into three sets of 91 synthesized load profiles to enable a larger dataset for analysis. The net present values generated for each set were then graphed and analyzed per original real estate. The results showed that both configurations can be economically feasible, but only under certain conditions. A phase balancer alone was found to be feasible for real estate whose peak currents are distinctly unbalanced and exceed 50 A, with the best expected rate of return for profiles exceeding 63 A since they enable a tariff switch. The combined system was found to be even more contingent on the tariff switch and therefore only feasible for peaks above 63 A. A substantial difference in the initial investment further makes the single phase balancer the preferred choice, unless the discount rate is as low as 2 % or less. On this basis, potential investors need to assess the state of unbalance of their loads and perform their own calculation based their load profile, cost of capital and applicable tariffs.
Tidigare forskning har visat att fasbalansering enskilt kan förbättra driften hos lokala distributionsnät och att ett batterisystem i tillägg till fasbalanserarens kraftelektronik ytterligare kan minska de negativa effekterna av fasobalanser. Däremot har mindre uppmärksamhet riktats mot den ekonomiska genomförbarheten hos dessa teknologier och i synnerhet för implementation på lastens sida av elmätaren. Det tycks vara så att spridningen av fasbalanserare, med eller utan energilagring, hindras av osäkerheten kring dess ekonomiska potential trots att båda teknologierna är kommersiellt tillgängliga. Detta arbete ämnar därför att värdera och jämföra den ekonomiska nyttan hos de två konfigurationerna vid toppreducering av fastighetselen i svenska bostadsfastigheter. Värderingen utfördes med hjälp av en särskilt utvecklad deterministisk tekno-ekonomisk modell som beaktade historiska lastdata från tre svenska fastigheter, kostnadsuppskattningar för en uppsättning av konfigurationer som användes vid dimensionering av systemen, applicerbara tariffer och avgifter för elektricitet och dess distribution samt tekniska parametrar såsom kapaciteter och verkningsgrader för de olika komponenterna. Ett annorlunda tillvägagångssätt tillämpades vidare för att utöka datamängden genom linjär extrapolation av lastprofilerna, vilket resulterade i tre uppsättningar av 91 syntetiserade lastprofiler. Nettonuvärdet beräknades följaktligen för varje profil och investeringsalternativ för att sedan plottas och analyseras per ursprunglig fastighet. Resultaten visade att båda konfigurationerna kan uppvisa lönsamhet, men endast under särskilda förutsättningar. Den enskilda fasbalanseraren bedömdes som lönsam för fastigheter vars strömtoppar är påtagligt obalanserade och som överstiger 50 A, med största möjliga lönsamhet för profiler som överstiger 63 A då dessa möjliggör ett tariffbyte. Det kombinerade systemets lönsamhet bedömdes vara ännu mer beroende av tariffbytet och därför endast lönsamt för strömtoppar över 63 A. En betydligt större grundinvestering för det kombinerade systemet gör vidare att den enskilda fasbalanseraren i regel är att föredra, såvida inte kalkylräntan är så låg som 2 % eller mindre. Baserat på detta uppmanas potentiella investerare att undersöka balanstillståndet hos deras laster och att utföra en egen kalkyl baserat på deras specifika last, kapitalkostnad och nätföretag.
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Rydberg, Lova. "RTDS modelling of battery energy storage system." Thesis, Uppsala universitet, Elektricitetslära, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-155960.

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This thesis describes the development of a simplified model of a battery energy storage. The battery energy storage is part of the ABB energy storage system DynaPeaQ®. The model has been built to be run in RTDS, a real time digital simulator. Batteries can be represented by equivalent electric circuits, built up of e.g voltage sources and resistances. The magnitude of the components in an equivalent circuit varies with a number of parameters, e.g. state of charge of the battery and current flow through the battery. In order to get a model of how the resistive behaviour of the batteries is influenced by various parameters, a number of simulations have been run on a Matlab/Simulink model provided by the battery manufacturer. This model is implemented as a black box with certain inputs and outputs, and simulates the battery behaviour. From the simulation results a set of equations have been derived, which approximately give the battery resistance under different operational conditions. The equations have been integrated in the RTDS model, together with a number of controls to calculate e.g. state of charge of the batteries and battery temperature. Results from the RTDS model have been compared with results from the Simulink model. The results coincide reasonably well for the conditions tested. However, further testing is needed to ensure that the RTDS model produces results similar enough to the ones from the Simulink model, over the entire operational range.
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Kromlidis, S. "Battery energy storage for power quality improvement." Thesis, University of Manchester, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.556320.

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Books on the topic "Residential Battery Energy Storage"

1

Energy saving and storage in residential buildings. Hauppauge, N.Y: Nova Science Publishers, 2011.

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Blum, Andrew F., and R. Thomas Long. Fire Hazard Assessment of Lithium Ion Battery Energy Storage Systems. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-6556-4.

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Kikō, Nihon Bōeki Shinkō. Pilot project to install a system to promote energy savings in residential buildings that use district heating in the Northeast Region of China (Shenyang): Main report. Tokyo]: Japan External Trade Organization, 2009.

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Ashekele, Hina Mu. Business potentials and management systems at AccuPower Pilot Sites: Socio-economic and engineering evaluations of a deep dischargeable battery operation : summary and recommendations of survey reports for the Ministry of Mines and Energy of the Republic of Namibia. Windhoek]: Engineering Science & Technology Division, Multidisciplinary Research and Consultancy Centre, UNAM, 2000.

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Office, General Accounting. Federal electric power: Bonneville's Residential Exchange Program : report to the Chairman, Subcommittee on Water, Power, and Offshore Energy Resources, Committee on Interior and Insular Affairs, House of Representatives. Washington, D.C: U.S. General Accounting Office, 1990.

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Begum, Fouzia. Battery: For Energy Storage. XLIBRIS, 2018.

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Economic Analysis of Battery Energy Storage Systems. World Bank, Washington, DC, 2020. http://dx.doi.org/10.1596/33971.

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Bajaj, Vinay. Promising Alternatives to Lithium-Ion Battery Energy Storage. Independently Published, 2020.

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Blum, Andrew F., and R. Thomas Long Jr. Fire Hazard Assessment of Lithium Ion Battery Energy Storage Systems. Springer, 2016.

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Warranties for Battery Energy Storage Systems in Developing Countries. World Bank, Washington, DC, 2020. http://dx.doi.org/10.1596/34493.

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Book chapters on the topic "Residential Battery Energy Storage"

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She, Ying, Ergin Erdem, and Jing Shi. "Profitability Analysis of Residential Wind Turbines with Battery Energy Storage." In Springer Proceedings in Physics, 439–48. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05521-3_56.

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Chatzigeorgiou, Nikolas G., Yerasimos P. Yerasimou, Michalis A. Florides, and George E. Georghiou. "Grid Export Reduction Based on Time-Scheduled Charging of Residential Battery Energy Storage Systems—A Case Study in Cyprus." In Sustainability in Energy and Buildings 2020, 231–41. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8783-2_19.

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Yang, Wen-Jei. "Electrical Energy Storage Battery." In Energy Storage Systems, 599–603. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2350-8_27.

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Atcitty, Stan, Jason Neely, David Ingersoll, Abbas Akhil, and Karen Waldrip. "Battery Energy Storage System." In Power Electronics for Renewable and Distributed Energy Systems, 333–66. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5104-3_9.

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Sedghi, Mahdi, Ali Ahmadian, Ali Elkamel, Masoud Aliakbar Golkar, and Michael Fowler. "Battery Energy Storage Planning." In Electric Distribution Network Planning, 185–214. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7056-3_7.

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Akhtar, Mainul, and S. B. Majumder. "Hybrid Supercapacitor-Battery Energy Storage." In Handbook of Advanced Ceramics and Composites, 1–39. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-73255-8_43-1.

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Akhtar, Mainul, and S. B. Majumder. "Hybrid Supercapacitor-Battery Energy Storage." In Handbook of Advanced Ceramics and Composites, 1259–96. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-16347-1_43.

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Khalilpour, Kaveh Rajab, and Anthony Vassallo. "PV-Battery Nanogrid Systems." In Community Energy Networks With Storage, 61–82. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-287-652-2_4.

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Yanga, Jie, Jie Yanga, Zhenghui Pana, Zhenghui Pana, Yuegang Zhang, Yongcai Qiu, and Yongcai Qiu. "Doped Graphene for Electrochemical Energy Storage Systems." In Advanced Battery Materials, 511–612. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2019. http://dx.doi.org/10.1002/9781119407713.ch11.

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Jung, Joey. "Lead-Acid Battery." In Electrochemical Technologies for Energy Storage and Conversion, 111–74. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2012. http://dx.doi.org/10.1002/9783527639496.ch4.

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Conference papers on the topic "Residential Battery Energy Storage"

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Stepaniuk, Viktor, Jayakrishnan Pillai, and Birgitte Bak-Jensen. "Battery Energy Storage Management for Smart Residential Buildings." In 2018 53rd International Universities Power Engineering Conference (UPEC). IEEE, 2018. http://dx.doi.org/10.1109/upec.2018.8541980.

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Byrne, C., and G. Verbic. "Feasibility of residential battery storage for energy arbitrage." In 2013 Australasian Universities Power Engineering Conference (AUPEC). IEEE, 2013. http://dx.doi.org/10.1109/aupec.2013.6725471.

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Galatsopoulos, Charalampos, Simira Papadopoulou, Chrysovalantou Ziogou, and Spyros Voutetakis. "Energy Management Strategy in a Residential Battery Energy Storage System." In 2018 26th Mediterranean Conference on Control and Automation (MED). IEEE, 2018. http://dx.doi.org/10.1109/med.2018.8442681.

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Hong, Seong-Jun, Moiz Masood Syed, Geun-Hie Rim, and Hyung-Suk Kim. "Residential battery energy storage system with 3kWh Li-ion battery pack." In IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2014. http://dx.doi.org/10.1109/iecon.2014.7049354.

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Song, In-beom, Doo-yong Jung, Young-hyok Ji, Seong-chon Choi, Su-won Lee, and Chung-yuen Won. "A residential 10kWh lithium-polymer battery energy storage system." In ECCE Asia (ICPE 2011- ECCE Asia). IEEE, 2011. http://dx.doi.org/10.1109/icpe.2011.5944747.

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Montano-Martinez, Karen, and Agustin Irizarry-Rivera. "Hybrid Battery Energy Storage System for Residential Customer Services." In 2020 52nd North American Power Symposium (NAPS). IEEE, 2021. http://dx.doi.org/10.1109/naps50074.2021.9449704.

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Nizami, M. S. H., M. J. Hossain, B. M. Ruhul Amin, Muhammad Kashif, Edstan Fernandez, and Khizir Mahmud. "Transactive Energy Trading of Residential Prosumers Using Battery Energy Storage Systems." In 2019 IEEE Milan PowerTech. IEEE, 2019. http://dx.doi.org/10.1109/ptc.2019.8810458.

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Jing, Wenlong, Derrick K. X. Ling, Chean Hung Lai, Wallace S. H. Wong, and M. L. Dennis Wong. "Hybrid energy storage retrofit for standalone photovoltaic-battery residential energy system." In 2017 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia). IEEE, 2017. http://dx.doi.org/10.1109/isgt-asia.2017.8378395.

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Waffenschmidt, Eberhard, Till Paulzen, and Alexander Stankiewicz. "Common battery storage for an area with residential houses." In Proceedings of the 13th International Renewable Energy Storage Conference 2019 (IRES 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/ires-19.2019.2.

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Moradpour, Milad, Pooya Ghani, and Gianluca Gatto. "A GaN-Based Battery Energy Storage System for Residential Application." In 2019 International Conference on Clean Electrical Power (ICCEP). IEEE, 2019. http://dx.doi.org/10.1109/iccep.2019.8890238.

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Reports on the topic "Residential Battery Energy Storage"

1

Kraft, S., and A. Akhil. Battery energy storage market feasibility study. Office of Scientific and Technical Information (OSTI), July 1997. http://dx.doi.org/10.2172/510377.

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Author, Not Given. Battery storage for supplementing renewable energy systems. Office of Scientific and Technical Information (OSTI), January 2009. http://dx.doi.org/10.2172/1216656.

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COREY, GARTH P., LARRY E. STODDARD, and RYAN M. KERSCHEN. Boulder City Battery Energy Storage Feasibility Study. Office of Scientific and Technical Information (OSTI), March 2002. http://dx.doi.org/10.2172/793408.

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LANDI, J. T., and R. F. PLIVELICH. ENERGY EFFICIENCY AND ENVIRONMENTALLY FRIENDLY DISTRIBUTED ENERGY STORAGE BATTERY. Office of Scientific and Technical Information (OSTI), April 2006. http://dx.doi.org/10.2172/881760.

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DiOrio, Nicholas, Aron Dobos, Steven Janzou, Austin Nelson, and Blake Lundstrom. Technoeconomic Modeling of Battery Energy Storage in SAM. Office of Scientific and Technical Information (OSTI), September 2015. http://dx.doi.org/10.2172/1225314.

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Kraft, S., and A. Akhil. Battery energy storage market feasibility study -- Expanded report. Office of Scientific and Technical Information (OSTI), September 1997. http://dx.doi.org/10.2172/541858.

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Lu, Ning, Mark R. Weimar, Yuri V. Makarov, Jian Ma, and Vilayanur V. Viswanathan. The Wide-Area Energy Storage and Management System ? Battery Storage Evaluation. Office of Scientific and Technical Information (OSTI), July 2009. http://dx.doi.org/10.2172/969906.

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Akhil, A. A., P. Butler, and T. C. Bickel. Battery energy storage and superconducting magnetic energy storage for utility applications: A qualitative analysis. Office of Scientific and Technical Information (OSTI), November 1993. http://dx.doi.org/10.2172/10115548.

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Swaminathan, S., W. T. Flynn, and R. K. Sen. Modeling of battery energy storage in the National Energy Modeling System. Office of Scientific and Technical Information (OSTI), December 1997. http://dx.doi.org/10.2172/560846.

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Borneo, Daniel R., and Frank M. Currie. Los Alamos County Battery Energy Storage System Use Review. Office of Scientific and Technical Information (OSTI), March 2018. http://dx.doi.org/10.2172/1530140.

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