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Contact UsStreet lighting electricity costs are a significant recurring expense for many local governments and property management operators. One of the first questions that arises when considering a smart street lighting project is: How much can we actually save?
The answer depends on the existing lighting infrastructure, but there is a clear framework for calculating potential savings.
The following five factors contribute to reducing public street lighting (PJU) operating costs.
It is important to distinguish between savings achieved by replacing conventional lighting with energy-efficient LEDs and additional savings generated through monitoring and control systems.
Both approaches complement each other, but their individual contributions should be calculated separately to ensure an accurate and transparent project evaluation.
Many public street lighting installations in Indonesia operate under a non-metered billing system, where electricity charges are calculated based on estimated installed capacity and operating hours rather than actual energy consumption.
Under this arrangement, reducing electricity consumption through dimming does not necessarily result in lower electricity bills because charges are not based on actual usage.
Several studies and local government initiatives have therefore explored electricity metering to better align billing with actual consumption.
To maximize potential savings, street lighting projects should follow three key steps:
In addition to reducing electricity consumption, a smart street lighting monitoring system can help lower several other operating costs:
To ensure that reported savings are accurate and measurable, project operators should establish a structured monitoring and evaluation process.
This approach provides measurable evidence of energy efficiency improvements and supports more informed investment decisions.
The following framework can be applied to estimate monthly electricity consumption and potential cost savings.
Calculate monthly electricity consumption:
Number of lighting points × Power per lighting point (kW) × Operating hours per day × 30 days = Monthly energy consumption (kWh).
Calculate monthly energy costs:
Multiply total monthly consumption (kWh) by the applicable electricity tariff per kWh.
Compare different lighting scenarios:
Repeat the calculation for conventional lighting, LED replacement, and LED lighting with scheduled dimming.
Estimate maintenance savings:
Include potential reductions in inspection costs, technician visits, and equipment replacement expenses.
Account for additional operating costs:
Deduct expenses associated with monitoring platforms, connectivity services, and operational personnel to determine estimated net savings.
For the most reliable results, use actual consumption data collected from pilot lighting controllers rather than relying exclusively on manufacturer specifications.
This ensures that project evaluations are supported by measurable evidence and can withstand review by management teams, auditors, and other stakeholders.
Reducing public street lighting electricity costs requires a combination of energy-efficient LED technology, scheduled dimming, optimized operating hours, responsive maintenance, and accurate electricity billing verification.
However, achieving measurable financial benefits requires more than simply reducing electricity consumption.
Ensuring that electricity billing reflects actual usage, supported by reliable monitoring data, is essential for translating energy efficiency improvements into real operational cost savings.
With the right monitoring and control strategy, local governments and property operators can improve street lighting efficiency, reduce operational expenses, and make more informed infrastructure management decisions.
The IoT Kreasi Indonesia team is ready to support your smart street lighting journey, from initial lighting assessments and pilot projects to full-scale implementation across cities and commercial or industrial areas.
Discuss your project requirements with our team at weiots.io.