What kind of energy consumption does high-bay ASRS have?

High-bay automated storage and retrieval systems (ASRS) consume electricity primarily through stacker crane movements, conveyor drives, and control systems. Actual consumption varies widely depending on load mass, travel distances, cycle frequency, and system design. A heavy-load crane handling steel coils or paper rolls draws considerably more power per cycle than a mini-load unit in a parts warehouse. The factors that determine electricity use, along with practical approaches to reducing it, are outlined below.

What Determines ASRS Electricity Use?

ASRS electricity use is determined by four main variables: the mass of the loads being handled, the distances the stacker crane travels (both horizontally and vertically), the number of operating cycles per hour, and the power drawn by auxiliary systems during idle periods. Together, these inputs define both peak demand in kW and cumulative consumption in kWh over a given period.

Load mass has a direct effect on the energy required for lifting and acceleration. A stacker crane raising a 30-tonne steel coil to a storage position 30 metres above floor level requires substantially more energy than a mini-load crane lifting a 50 kg tote to 12 metres. For this reason, energy figures published for mini-load ASRS research cannot be transferred directly to heavy-load industrial systems serving the pulp and paper, steel and aluminium, or tyre manufacturing sectors.

Movement distances matter because longer horizontal travel and greater lifting heights increase both the duration and intensity of motor operation. High-bay storage systems with rack heights exceeding 30 metres involve significant potential energy changes with every storage or retrieval cycle.

Operating cycles compound these per-movement costs across a shift or a full year. A warehouse running three shifts with continuous throughput accumulates far more energy consumption than one operating a single shift with intermittent demand. Idle consumption from control cabinets, sensors, lighting, HVAC, and standby drives also adds a baseline load that persists regardless of throughput.

Researchers such as Lerher et al. (2014) developed energy-efficiency models for ASRS that add energy consumption as a design objective alongside conventional criteria like travel time, throughput, and cost. This kind of modelling highlights that energy is not a fixed specification but a function of layout, operating profile, and equipment selection. To build a meaningful picture, energy and investment managers should assess annual kWh, energy per transaction or per handled tonne, and peak electrical demand together rather than relying on any single metric.

How Can ASRS Energy Consumption Be Reduced?

ASRS energy consumption can be reduced through regenerative drive technology, energy-aware crane scheduling, optimised storage layout, and on-site renewable generation. Each approach targets a different component of the energy equation, and the greatest gains typically come from combining several of them.

Regenerative Drives and Braking Energy Recovery

Regenerative drives recover a portion of the kinetic and potential energy that would otherwise be dissipated as heat during braking and lowering operations. When a loaded crane descends or decelerates, the drive converts mechanical energy back into electrical energy and feeds it into the system’s DC bus or the facility grid. This does not make all movements energy-neutral, but it meaningfully reduces net consumption per cycle, particularly in high-bay systems with large vertical travel distances and heavy loads.

Energy-Aware Crane Scheduling

Research by Rizqi and Chou (2025) demonstrated that crane scheduling algorithms designed with energy objectives can improve both energy use and system responsiveness within a simulated ASRS environment. By sequencing storage and retrieval tasks to minimise unnecessary travel and to coordinate dual-command cycles, these scheduling strategies reduce the total distance and acceleration events per shift. While specific algorithm results depend on system configuration, the principle applies broadly: smarter task sequencing reduces energy without sacrificing throughput.

Storage layout also plays a role. Placing high-turnover SKUs closer to input/output points shortens average travel distances. Reducing empty crane runs through intelligent task batching further lowers per-cycle energy. On-site solar generation can offset a share of purchased electricity, though the actual contribution depends on roof area, local irradiance, and the alignment between generation and consumption profiles.

How Does Pesmel Address Warehouse Energy Efficiency?

Pesmel integrates energy-efficient design features directly into its high-bay warehousing technology. Stacker cranes in Pesmel systems use regenerative drives for both lifting and travelling movements, recovering braking energy during lowering and deceleration operations. This reduces net electricity consumption across the thousands of cycles a heavy-load system performs each day in pulp and paper mills, steel and aluminium facilities, or tyre plants.

Pesmel’s high-bay storage designs also accommodate rooftop solar energy integration, enabling facilities to offset a portion of their purchased electricity with on-site generation. Because every warehouse operates under different conditions, Pesmel does not publish a universal kWh figure. Load profiles, throughput requirements, rack heights, and product characteristics all influence the outcome.

Want to understand the energy profile of a high-bay ASRS for your specific application? Contact Pesmel’s team to discuss an application-specific energy estimate based on your throughput, product characteristics, and facility requirements.