When evaluating an energy storage system, the first question is almost always the same: how many kWh do I need?<\/b><\/b><\/p>\n
Immediately after, the battery cost, inverter power, expected savings, and payback period are considered. But there is a variable that should enter the economic calculation right from the start: battery degradation.<\/b><\/b><\/p>\n
Every charge and discharge cycle, temperature, State of Charge (SOC), and depth of discharge can affect the system’s useful life.<\/p>\n
A recent scientific review dedicated to optimizing Battery Energy Storage Systems highlights this exact point: advanced battery management, degradation analysis, and optimization strategies are key elements in improving efficiency, lifespan, and economic sustainability of a storage system.<\/p>\n
The question, therefore, is not only how much a battery costs per kWh, but how much each MWh of energy actually used during its operational life will cost<\/b>.<\/p>\nA 100 kWh BESS battery is not simply a 100 kwh asset<\/b><\/b><\/h3>\n
Consider two identical storage systems, both with a nominal capacity of 100 kWh and the same cell chemistry.<\/p>\n
The first system is used every day without specific optimization strategies, experiencing deep cycles, high currents, and sub-optimal temperatures.<\/p>\n
The second system instead uses a Battery Management System<\/b> (BMS<\/b>) and an Energy Management System (EMS)<\/b> that consider:<\/p>\n After several years, the two systems could exhibit different remaining capacities and performance levels.<\/p>\n Intelligent management can help reduce stress on the battery, slow down degradation, and preserve economic value.<\/p>\n Consider an energy arbitrage<\/b> application: the battery is charged when energy costs less and discharged when prices rise.<\/p>\n However, economic margin depends not only on price differences. Energy losses and the cost of degradation associated with the cycle must also be considered.<\/p>\n A more comprehensive analysis must therefore evaluate: <\/span>Revenue or energy savings \u2212 cost of purchased energy \u2212 conversion losses \u2212 degradation cost = economic value of the operation. This is where software plays a strategic role.<\/span><\/p>\n Degradation models, also based on operational data analysis, can support more efficient management strategies.<\/p>\n In some cases, the most economically convenient cycle might be the one the system decides not to execute.<\/p>\n Storage systems are no longer used exclusively to store solar power for evening use.<\/p>\n Today, a Battery Energy Storage System can support various applications:<\/p>\n However, these functions can conflict with one another.<\/p>\n Keeping the battery fully charged to guarantee backup, for example, reduces available capacity to absorb solar energy.<\/p>\n A BESS must therefore manage not only when to charge and discharge, but also when it is beneficial to use energy and when to conserve it.<\/p>\n The Battery Management System (BMS) is fundamental to lithium battery safety.<\/p>\n It monitors voltage, current, temperature, and State of Charge, managing primary protection functions.<\/p>\n In more advanced systems, however, the BMS can also provide valuable information for performance optimization.<\/p>\n Available data points include:<\/p>\n – cell voltages and current;<\/p>\n – temperature and SOC;<\/p>\n – cycle count and depth of discharge;<\/p>\n – protection events;<\/p>\n – operating hours;<\/p>\n – charge and discharge history.<\/p>\n This information reveals actual operating conditions and supports diagnostic activities.<\/p>\n Monitoring BESS systems allows analysis of how batteries age over time during operation.<\/p>\n Degradation mainly manifests through two phenomena: capacity fade (progressive loss of capacity) and increased internal resistance, which can reduce performance and efficiency.<\/p>\n We also distinguish between:<\/p>\n – Calendar ageing<\/b>: time-based aging, even without cycling.<\/p>\n – Cycle ageing<\/b>: degradation associated with charge and discharge cycles.<\/p>\n Analyzing operational history helps identify anomalies such as high temperatures, cell imbalances, or unusual performance drops.<\/p>\n In advanced systems, these data support predictive maintenance strategies, helping pinpoint critical issues and plan interventions.<\/p>\n Cost per installed kWh is one of the most common parameters for comparing storage systems, but it does not always represent true cost-effectiveness.<\/p>\n Two batteries with the same initial cost can deliver different amounts of energy over their operational lifespan.<\/p>\n A useful metric is the Cost per Delivered MWh,<\/b> calculated as:<\/p>\n Total System Cost \/ Energy Delivered Over Lifetime<\/b><\/b><\/p>\n This metric indirectly considers factors like lifespan, efficiency, cycle count, operating conditions, and system availability.<\/p>\n An efficient management strategy can therefore help lower the cost of delivered energy and improve the investment’s economic sustainability.<\/p>\n Nominal battery capacity is obviously important. But capacity alone does not determine the economic value of a storage system.<\/p>\n Value stems from the interaction between: hardware + BMS + software + data + operational strategy<\/b><\/b><\/p>\n Two systems using similar cells can produce very different economic results if managed differently.<\/p>\n This concept will become even more crucial with the spread of:<\/p>\n Batteries will increasingly move from passive components to dynamically managed energy assets.<\/p>\n When analyzing a storage project, we shouldn’t just ask how many kWh are needed.<\/p>\n It is also important to consider:<\/p>\n The central question remains: which strategy allows maximizing the battery’s value throughout its operational lifetime?<\/b><\/b><\/p>\n At Archimede Energia, we develop lithium battery systems, BMS, and monitoring solutions for industrial applications and energy storage.<\/p>\n Starting from real plant data, we can analyze required capacity, peak shaving potential, expected cycles, depth of discharge, and potential optimization strategies.<\/p>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” bg_color=”#F3F3F3″ scene_position=”center” top_padding=”30″ bottom_padding=”30″ left_padding_desktop=”30″ right_padding_desktop=”30″ bottom_margin=”40″ text_color=”dark” text_align=”left” row_border_radius=”15px” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none” gradient_type=”default” shape_type=””][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text css=”.vc_custom_1794306500598{margin-bottom: 20px !important;}” text_direction=”default”]\n Send us your load profile, even in CSV format, and together we can evaluate the most suitable storage strategy for your application.<\/b><\/p>\n[\/vc_column_text][nectar_cta btn_style=”basic” heading_tag=”span” link_type=”regular” button_color=”accent-color” button_color_hover=”#50A17C” text_color=”#FFFFFF” text_color_hover=”#FFFFFF” button_border_thickness=”0px” alignment=”left” alignment_tablet=”default” alignment_phone=”default” display=”block” display_tablet=”inherit” display_phone=”inherit” icon_family=”none” link_text=”Contact us” url=”\/en\/contact\/” padding_top=”15″ padding_bottom=”15″ padding_left=”30″ padding_right=”30″][\/vc_column][\/vc_row]\n","protected":false},"excerpt":{"rendered":" [vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px”…<\/p>\n","protected":false},"author":1,"featured_media":7781,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[50],"tags":[133,166,429,310,151,76],"class_list":["post-7779","post","type-post","status-publish","format-standard","has-post-thumbnail","category-news-en","tag-archimede-energia-en","tag-batterie-al-litio-en","tag-battery-management-system","tag-bess-en","tag-energy-storage-en","tag-lithium-batteries"],"acf":[],"yoast_head":"\n\n
Not all charge and discharge cycles have the same value<\/b><\/b><\/h3>\n
Applications of BESS systems: not just solar storage<\/b><\/b><\/h3>\n
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The role of BMS in Lithium Battery management<\/b><\/b><\/h3>\n
From monitoring to predictive maintenance<\/b><\/b><\/h3>\n
Cost per kWh or delivered MWh: how should you evaluate a BESS?<\/b><\/b><\/h3>\n
More data can mean more value from the same battery<\/b><\/b><\/h3>\n
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Questions to ask before installing a BESS system<\/b><\/b><\/h3>\n
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How to optimize a BESS system with Archimede Energia<\/b><\/b><\/h3>\n
Do you already have your facility’s consumption data?<\/b><\/b><\/h3>\n