How IoT optimises water networks

The infrastructure of Bulgarian water utilities is old, water losses are high, and the capital for pipe replacement is limited. This is exactly where IoT offers the strongest lever: instead of "digging" everywhere, we place eyes and ears across the network and optimise pressure, flow, energy and quality in real time. The international consensus is clear: a "smart" network is an integration of sensors, connectivity, SCADA and analytics that allows every aspect of distribution to be managed. The Bulgarian picture reinforces the imperative — the long-term regulatory target for non-revenue water (NRW) is 49%, yet for many operators the actual levels remain well above that. (SWAN Forum)

The first principle is zoning and pressure management. Dividing the network into DMA zones, combined with continuous flow and pressure measurement and dynamic control through pressure-reducing valves, is the most effective tool against real losses — it lowers minimum nighttime flows, limits bursts and stabilises the regime. Practice confirms it: international IWA guidelines place DMAs and pressure at the core of loss control, and the Bulgarian MDPI review points specifically to pressure management and a well-developed SCADA as the differentiator for lower NRW in Sofia. (hikom.grf.bg.ac.rs)

The second driver is smart meters and telemetry (AMI). They provide hourly/daily consumption, backflow and sudden-surge alarms, fairer billing and a base for active leak control. Europe is already scaling up: Spain's Aqualia is digitising over a million meters with NB-IoT connectivity; Yorkshire Water is deploying 1.3 million LoRaWAN devices — two paths to the same goal: mass, low-cost, long-lived connectivity with 10+ year battery life. (Smart Energy)

The third layer is acoustic detection and transient monitoring. Permanent acoustic loggers and correlators, combined with pressure sensors at critical points, locate hidden leaks before they become bursts. The approach is not theoretical: from Singapore onwards, "tangible" sensor networks have shown how cheap, dense measurement transforms operational decisions in real time. (DSpace)

The energy impact is significant and often underestimated. Pumping stations under SCADA control, with variable-frequency drives and tariff-based schedules, lower kWh/m³, and the reduction in real losses translates directly into lower energy intensity. The Bulgarian academic review links leak reduction and good pressure management with better energy performance; where gravity does not help, automation restores control. (MDPI)

Connectivity is no longer a barrier. NB-IoT is available across the country and is used in urban applications; in parallel, LoRaWAN is used for remote water-meter readings, including by the largest operator in Sofia. Both LPWAN technologies have a place: NB-IoT for deep-indoor and carrier-supported deployments; LoRaWAN for self-owned or hybrid networks where flexibility and TCO are priorities. (telecompaper.com)

Water quality and reservoirs are the next obvious target. Cheap sensors for level, conductivity, chlorine and turbidity, tied into a historian and dashboards, make it possible to predict overflows, "smooth" reservoir cycles and catch quality degradation before complaints and fines. International case-study catalogues are already full; the lesson is universal — what gets measured gets managed. (SWAN Forum)

Cybersecurity does not get enough attention in Bulgaria. NIS2 places the water sector among the essential services and requires asset mapping, MFA, logging, vulnerability management and incident readiness across the entire OT/IT chain. This is not a "paper" exercise: without network segmentation and role-based access, every new telemetry deployment simply expands the attack surface. (enisa.europa.eu)

Where do we start in Bulgaria? By prioritising zones with high losses, over-pressure and frequent incidents; with 3–5 pilot DMAs (1–3 thousand subscribers), in which smart meters, acoustic detection and dynamic pressure are deployed simultaneously. In parallel, SCADA/historian is configured, KPIs are defined — NRW, minimum night flow, leaks/km, bursts/km, kWh/m³ — and data discipline and cyber controls under NIS2 are introduced. The data already shows that, locally, well-built pressure and digital control correlate with lower losses; other operators can catch up to this standard if they put sensors and analytics ahead of the excavator. (MDPI)

Instead of chasing the "perfect" billion-euro pipeline replacement, the pragmatic path is sequential: visibility → control → automation → replacement where the data proves it makes sense. IoT makes this possible at a cost Bulgarian water utilities can carry, and with results within the year — not the decade.