Microgrid systems, typically comprising distributed renewable energy generation equipment like photovoltaics and wind turbines, energy storage devices, and smart control systems, can operate connected to the grid or independently.
Against this backdrop, microgrids, as a new type of distributed energy system, have garnered attention due to their flexibility, reliability, and environmental friendliness. According to data from the International Energy Agency (IEA), renewable energy generation is expected to account for over 40 % of total power generation by 2040 .
Diab et al. proposed a simulation model for a PV/wind/diesel hybrid microgrid system with battery bank storage, focusing on optimal sizing to minimize the cost of energy (COE) while increasing system reliability and efficiency, as measured by the loss of power supply probability (LPSP) .
This study proposes an innovative microgrid capacity planning framework aimed at optimizing the configuration of standalone microgrid systems in suburban Beijing. The framework comprehensively considers economic benefits and environmental impacts, introducing dynamic avoided GHG emissions (AGE) and a cost-benefit index (CBI) as evaluation metrics.
Battery storage costs have evolved rapidly over the past several years, necessitating an update to storage cost projections used in long-term planning models and other activities. This work documents the development of these projections, which are based on recent publications of storage costs.
The suite of publications demonstrates wide variation in projected cost reductions for battery storage over time. Figure ES-1 shows the suite of projected cost reductions (on a normalized basis) collected from the literature (shown in gray) as well as the low, mid, and high cost projections developed in this work (shown in black).
Battery cost projections for 4-hour lithium-ion systems, with values relative to 2024. The high, mid, and low cost projections developed in this work are shown as bold lines. Published projections are shown as gray lines. Figure values are included in the Appendix.
By expressing battery system costs in $/kWh, we are deviating from other power generation technologies such as combustion turbines or solar photovoltaic plants where capital costs are usually expressed as $/kW. We use the units of $/kWh because that is the most common way that battery system costs have been expressed in published material to date.
The 2020 Cost and Performance Assessment provided installed costs for six energy storage technologies: lithium-ion (Li-ion) batteries, lead-acid batteries, vanadium redox flow batteries, pumped storage hydro, compressed-air energy storage, and hydrogen energy storage.
Recent contracts are predominantly for much larger transmission-connected energy storage projects. Earlier energy storage contracts were significantly more expensive across all grid domains, and they generally reflect the cost reductions seen in the global storage industry.
Non-battery systems, on the other hand, range considerably more depending on duration. Looking at 100 MW systems, at a 2-hour duration, gravity-based energy storage is estimated to be over $1,100/kWh but drops to approximately $200/kWh at 100 hours.
Cost metrics are approached from the viewpoint of the final downstream entity in the energy storage project, ultimately representing the final project cost. This framework helps eliminate current inconsistencies associated with specific cost categories (e.g., energy storage racks vs. energy storage modules).
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