Estimate whether your current micromobility charging room can keep up with resident demand. Enter fleet size, charger power, available hours, and circuit ratings to see how many lockers you need, how full the outlets will be, and what scheduling tweaks keep charging safe and fair.
Scenario | Lockers needed | Utilization (%) | Budget impact ($) |
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Apartment buildings, co-ops, and community centers are scrambling to adapt their amenity spaces to a micromobility wave. Residents who would never dream of storing a gasoline scooter indoors now bring e-bikes, cargo bikes, and electric scooters upstairs every night. Fire marshals, insurance carriers, and facilities teams all say the same thing: improvised power strips and hallway charging are not acceptable. Yet the broader internet offers mostly marketing brochures or high-level safety bulletins. There is little guidance to determine how many charging lockers or outlets a property actually needs, how long they must be available each day, or how close a building might be to tripping a breaker. The Apartment E-Bike Charging Locker Capacity Planner fills that void. It provides a structured way to quantify daily energy demand, match it with available charging time, and stress-test the electrical infrastructure before expanding access.
A handful of data points tells a surprisingly detailed story. By estimating each bike’s daily energy draw, multiplying by the number of riders, and dividing by the power that a standard charger pulls, we can compute the charger-hours required. When the total charger-hours exceed the access hours multiplied by the number of lockers, a backlog forms: residents either can’t plug in when they need to or resort to charging in unsafe locations. Even when the schedule seems manageable, electrical code requires that circuits stay below 80 percent of their breaker rating for continuous loads. That means a 20-amp branch circuit at 120 volts really should not deliver more than 1,920 watts for more than three hours. The planner calculates the current draw per charger, multiplies it by the number of simultaneous lockers, and compares the result with your utilization target. It surfaces the headroom you have today and how quickly it will shrink if ridership grows.
Buildings also face budget planning challenges. Outfitting a secure charging locker with ventilation, suppression sensors, and access control can cost hundreds of dollars per slot. Without a forecasting tool, boards may delay upgrades only to discover that growth in residents with e-bikes overwhelms the facility. The planner converts your projected ridership increase into the number of future chargers needed and checks that against your budget. If you can only add three lockers per year but demand signals six, you can start aligning capital plans or exploring shared scheduling tools such as the shared EV charger rotation planner. For properties exploring broader electrification, cross-checking with the home EV charger load and schedule planner ensures micromobility charging coexists with larger vehicle loads on the same electrical service.
The math is straightforward yet powerful. Total daily energy demand equals the number of riders times the per-bike energy draw. Dividing that energy by charger power (converted from watts to kilowatts) yields the number of charging hours required. Because most chargers are constant-power devices, their current draw is simply power divided by voltage. Multiply current per charger by the number of lockers to estimate the peak branch circuit load if every slot is in use. To keep the building within safe limits, the planner compares that peak load to your target fraction of the breaker rating. It also computes the minimum number of lockers needed by dividing total charger-hours by the available access hours and rounding up. Growth is handled by applying the projected percentage increase to the rider count, which allows you to explore next year’s stress before residents start complaining.
In MathML form, the minimum lockers required is:
where is the number of riders, is the daily energy per bike in kilowatt-hours, is charger power in watts, and is the access hours per locker each day. The planner treats utilization constraints by ensuring that the simultaneous load equals lockers times charger power divided by voltage, and checks that does not exceed the breaker rating times the utilization fraction you provided. If it does, the tool highlights the deficit so you can add lockers on a new circuit or enforce scheduling rules.
Suppose an apartment community has 18 riders, each consuming 0.6 kWh per day. Their chargers draw 300 watts from a 120-volt circuit, and the bike room is open for 12 hours daily. Six lockers are currently available. Total daily energy demand is 10.8 kWh. Divide by 0.3 kW (300 watts) to find that 36 charger-hours are needed. With 12 hours of access for each of the six lockers, the room delivers 72 charger-hours per day, more than enough to keep up. However, the circuit story is different. Each locker pulls 2.5 amps (300 W ÷ 120 V). Six lockers in use draw 15 amps, which is 75 percent of the 20-amp breaker. Because the planner automatically applies an 80 percent continuous load limit, it confirms that utilization is within bounds but leaves little room for future growth. If ridership jumps by 15 percent, the building would need at least seven lockers and would exceed the preferred utilization limit unless a second branch circuit is added.
The budget portion tells management whether expansion is feasible. Adding two lockers at $650 each costs $1,300—comfortably below the $2,500 budget. Adding three would cost $1,950, still acceptable. Because the planner always rounds up the locker requirement, it shows how many slots you must add to avoid scheduling headaches while staying within the electrical limit. Those outputs feed the comparison table so you can see at a glance what happens if you hold steady, add one locker, or add two.
The table above displays three scenarios. “Current capacity” reflects the numbers you typed, including today’s locker count. “Add one locker” assumes you expand by one slot without changing other inputs; the planner recalculates utilization and budget impacts. “Growth year” applies the ridership increase you entered, keeping the locker count constant to reveal future stress. By comparing the utilization percentages, you can spot whether to invest now or lean on scheduling tools. If all scenarios show utilization above your target, you know to revisit electrical plans immediately.
This planner assumes each bike charges once per day on average and draws a consistent amount of energy. In reality, some residents ride more on weekends while others skip days. The model also assumes chargers operate at nameplate power, even though some smart chargers taper toward the end of a session. Battery-balancing algorithms can therefore reduce actual current draw. The tool does not model thermal runaway risk or battery health, nor does it validate whether your lockers meet local fire code. Always consult fire prevention authorities before permitting indoor charging and consider additional safeguards such as temperature sensors and suppression blankets. Finally, the budget section ignores financing costs; it simply multiplies the number of new lockers by the installed cost you provided. Use the NPV & IRR Calculator if you plan to borrow funds for an upgrade.
How should I collect accurate energy usage data? Start with charger labels and manufacturer specs, then audit actual charging sessions using smart plugs or the bike room’s submeter. Use those findings to update the daily energy field. Can I mix charger power levels? Yes, but you will need to calculate a weighted average power draw or split the analysis into multiple runs. Does the planner handle scooters or mobility devices? Absolutely. As long as you know the typical energy per day and charger power, the math applies. What about staggered schedules? If you enforce time slots, adjust the access hours to match the usable window for each locker. How should I treat seasonal variation? If winter riding drops energy demand, run the tool twice with different inputs and budget for the busier season.