Using electrical energy storage in residential buildings – Sizing of battery and photovoltaic panels based on electricity cost optimization

Koskela, Juha; Rautiainen, Antti; Järventausta, Pertti

doi:10.1016/j.apenergy.2019.02.021

Cited by 178 publications

(68 citation statements)

References 41 publications

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“…However, due to the current battery energy storage system tariffs and costs, the usage of thermal energy storage systems could be a more financially attractive method to store the excess energy produced by PV at a building cluster level. Koskela et al, analyzed, from an economic perspective, the profitability of a PV system with an associated electrical energy storage system for apartment buildings forming an energy community [76]. The study highlighted the necessity of firstly sizing the electrical storage in order to have a profitable PV system size, leading to an increased amount of PV production in the residential sector.…”

Section: Electric and Thermal Energy Storagementioning

confidence: 99%

A Technical Review of Modeling Techniques for Urban Solar Mobility: Solar to Buildings, Vehicles, and Storage (S2BVS)

et al. 2020

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The deployment of solar photovoltaics (PV) and electric vehicles (EVs) is continuously increasing during urban energy transition. With the increasing deployment of energy storage, the development of the energy sharing concept and the associated advanced controls, the conventional solar mobility model (i.e., solar-to-vehicles (S2V), using solar energy in a different location) and context are becoming less compatible and limited for future scenarios. For instance, energy sharing within a building cluster enables buildings to share surplus PV power generation with other buildings of insufficient PV power generation, thereby improving the overall PV power utilization and reducing the grid power dependence. However, such energy sharing techniques are not considered in the conventional solar mobility models, which limits the potential for performance improvements. Therefore, this study conducts a systematic review of solar mobility-related studies as well as the newly developed energy concepts and techniques. Based on the review, this study extends the conventional solar mobility scope from S2V to solar-to-buildings, vehicles and storage (S2BVS). A detailed modeling of each sub-system in the S2BVS model and related advanced controls are presented, and the research gaps that need future investigation for promoting solar mobility are identified. The aim is to provide an up-to-date review of the existing studies related to solar mobility to decision makers, so as to help enhance solar power utilization, reduce buildings’ and EVs’ dependence and impacts on the power grid, as well as carbon emissions.

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Section: Electric and Thermal Energy Storagementioning

confidence: 99%

A Technical Review of Modeling Techniques for Urban Solar Mobility: Solar to Buildings, Vehicles, and Storage (S2BVS)

et al. 2020

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“…The aim of the study presented by J. Koskela et al is to research the effect of electricity pricing on the profitability of a PV system and BESS in residential buildings, including detached homes and apartment buildings [4]. Given a set of asset sizes, the optimization of PV system and BESS sizing for a household load is presented in [16].…”

Section: State Of the Artmentioning

confidence: 99%

“…Compared to non-renewable energy resources, renewable energy has an unlimited supply and is environmental beneficial. Although the generation of renewable energy is generally more expensive, recent works have been developed to prove that overall energy costs can be reduced by the adoption of alternative energy sources [2][3][4][5][6][7]. In addition, the adoption of renewable energy as a distributed generation (DG) has increased as technologies associated with photovoltaic (PV) generation and energy storage continue to evolve [8,9].…”

Section: Introductionmentioning

confidence: 99%

Optimal Asset Planning for Prosumers Considering Energy Storage and Photovoltaic (PV) Units: A Stochastic Approach

et al. 2020

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In the distribution system, customers have increasingly use renewable energy sources and battery energy storage systems (BESS), transforming traditional loads into active prosumers. Therefore, methodologies are needed to provide prosumers with tools to optimize their investments and increase business opportunities. In this paper, a stochastic mixed integer linear programming (MILP) formulation is proposed to solve for optimal sizes of prosumer assets, considering the use of a BESS and photovoltaic (PV) units. The objective is to minimize the total cost of the system, which is defined as the combination of a solar PV system investment, BESS investment, maintenance costs of assets, and the cost of electricity supplied by the grid. The developed method defines the optimal size of PV units, the power/energy capacities of the BESS, and the optimal value for initial energy stored in the BESS. Both deterministic and stochastic approaches were explored. For each approach, the proposed model was tested for three cases, providing a varying combination of the use of grid power, PV units, and BESS. The optimal values from each case were compared, showing that there is potential to achieve more economic plans for prosumers when PV and BESS technologies are taken into account.

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“…In addition, BESS can reduce high peak demand and improve the quality of the power system. The optimization of the BAPV system can be increased using the appropriate BESS capacity [28]. The second scenario is 31.5 kWp capacity of BAPV system with a grid only for E6+E8 Buildings.…”

Section: Design Of Bapv Systemmentioning

confidence: 99%

Fuzzy AHP Based Optimal Design Building-Attached Photovoltaic System for Academic Campus

Hapsari

Subiyanto

2020

International Journal of Photoenergy

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Several algorithms have been developed for building-attached photovoltaic system (BAPV) planning in educational institute based on PV capacity. Fewer studies on optimization algorithms for BAPV system planing on campus have been reported which considers a technoeconomic assessment. Therefore, a well-known robust algorithm is used as an optimization technique of BAPV system and considers technoeconomic assessment on campus. This paper presents a combination of analytical hierarchy process (AHP) with fuzzy theory (fuzzy AHP) for selecting a suitable and optimal design of BAPV system on academic campus. The BAPV system design is based on roof area and load profile at the project site. Five BAPV systems have been designed using five different types of PV. The design was comprehensively assessed by experts through a questionnaire with pairwise comparison model. Fuzzy AHP used to consider the qualitative and quantitative assessments that can affect the selection process. The comprehensive assessment in criteria consists of sizing systems, technical, economic, and environmental perspectives as criteria. The perspective is divided into 13 subcriteria. The results show degree of importance from the criteria-based fuzzy AHP as follows: technical > economic > environment > sizing system. Based on the assessment of criteria and subcriteria, design with monocrystalline is most suitable and polycrystalline as the least suitable design for BAPV system connected to grid and battery energy storage system in case study.

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Using electrical energy storage in residential buildings – Sizing of battery and photovoltaic panels based on electricity cost optimization

Cited by 178 publications

References 41 publications

A Technical Review of Modeling Techniques for Urban Solar Mobility: Solar to Buildings, Vehicles, and Storage (S2BVS)

A Technical Review of Modeling Techniques for Urban Solar Mobility: Solar to Buildings, Vehicles, and Storage (S2BVS)

Optimal Asset Planning for Prosumers Considering Energy Storage and Photovoltaic (PV) Units: A Stochastic Approach

Fuzzy AHP Based Optimal Design Building-Attached Photovoltaic System for Academic Campus

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