An Energy Management System (EMS), also called SGE (Système de Gestion de l'Énergie), is a combined software and hardware solution that collects, analyzes and controls energy consumption in real time across industrial or commercial sites.

It identifies hidden waste, detects consumption anomalies automatically, and enables corrective actions that reduce energy costs by 10 to 30%. Unlike a one,time energy audit, an EMS delivers continuous, measurable improvement over time.

An energy audit is a one-time photograph of consumption, typically conducted over a few weeks and often mandatory by regulation. It produces a static report with theoretical recommendations , but no ongoing monitoring.

An EMS is a permanent system that continuously monitors, alerts and optimizes. The audit identifies levers for action; the EMS ensures those actions are implemented, sustained over time and that savings are actually measured.

The two are complementary: the audit defines the strategy, the EMS guarantees execution.

Real-time monitoring relies on IoT sensors installed at key measurement points (meters, motors, HVAC systems, compressors, production lines). These sensors transmit data every few seconds to a cloud platform, which aggregates, normalizes and visualizes it on a dashboard.

Smart alerts trigger automatically when an anomaly is detected — a deviation from a consumption threshold, an unusual pattern outside production hours, or a fault signature in equipment behavior.

Yes. Wattnow is designed to integrate with existing infrastructure via standard industrial protocols: Modbus, BACnet, MQTT and OPC-UA. Wattnow's smart sensors can also be installed on any type of electrical, gas, water or compressed air infrastructure without replacing existing equipment.

Installation is non-intrusive ; no production shutdown is required.

Standard deployment on an industrial site takes 2 to 6 weeks depending on complexity: number of measurement points, type of equipment and network infrastructure. Hardware installation is carried out by Wattnow's teams. Internal team training and platform commissioning take place in parallel to minimize disruption.

Yes. The Wattnow platform is structured around ISO 50001 requirements: definition of Energy Performance Indicators (EnPI), tracking of reference consumption baselines, automatic generation of energy review reports, and traceability of improvement actions.

Multiple Wattnow clients across Tunisia and Morocco have obtained or renewed their ISO 50001 certification using the platform as their core monitoring tool.

The main levers in manufacturing are: optimization of cooling systems and compressed air compressors (typically 30–40% of the total bill), detection of off-production waste (baseload energy), and management of contracted peak demand. An EMS identifies and quantifies each consumption driver in real time.

Typical savings observed by Wattnow clients in manufacturing: 12–25% reduction in annual energy bills within the first 12 months of deployment.

A hotel deploying an EMS typically sees a 15 to 25% reduction in its energy bill within the first year. Savings come primarily from HVAC (detection of air-conditioned unoccupied rooms), domestic hot water, lighting and kitchen equipment.

ROI is generally achieved within 12 to 24 months. Beyond financial savings, hotels using Wattnow can report verified carbon emission reductions to support sustainability certifications (Green Globe, EarthCheck, etc.).

Yes. Hospitals and clinics must reconcile absolute service continuity (operating rooms, intensive care) with energy optimization. Wattnow's alert configurations and optimization recommendations are designed never to interfere with critical equipment.

Optimization focuses on non-critical zones: corridor lighting, administrative area ventilation, parking management, and unoccupied ward temperature control ; where savings of 10 to 20% are typically achievable without any clinical risk.

An EMS allows a local authority to centralize supervision of its entire building portfolio , town halls, schools, swimming pools, public lighting , on a single interface. It enables cross-site performance comparison, early detection of drifts, and prioritization of renovation investments where impact will be highest.

Wattnow currently manages energy consumption for several Tunisian municipalities including Sousse, Mahdia and El Jem.

In Tunisia, companies whose consumption exceeds 800 TOE/year (tonnes of oil equivalent) are subject to Law No. 2004-72 on energy management. This law requires: a mandatory energy audit every 5 years, the appointment of a certified energy manager, and submission of an annual energy report to ANME (Agence Nationale pour la Maîtrise de l'Énergie).

Non-compliance exposes companies to administrative penalties. Wattnow's platform generates the structured data and documentation needed to meet these obligations automatically.

CBAM (Carbon Border Adjustment Mechanism) is the EU's carbon border tax applied to certain imported products: steel, aluminium, fertilizers, cement, electricity and hydrogen. Tunisian and Moroccan exporters to the EU must declare their embedded emissions from 2026 and pay the associated tax from 2034.

For sectors like textiles, steel processing and chemicals in Tunisia and Morocco, reducing carbon intensity is now a direct competitive imperative ; not just a sustainability preference. An EMS that measures and certifies emission reductions becomes a commercial asset in EU-facing supply chains.

STEG (Société Tunisienne de l'Électricité et du Gaz) bills high-voltage clients using a three-part tariff structure: a fixed contracted power premium (prime fixe), a peak-demand overage penalty, and active energy charges indexed to time-of-use slots (peak hours, full hours, off-peak hours).

The two main levers to reduce the STEG bill are: (1) optimizing contracted power demand to avoid overage penalties, and (2) load-shifting energy-intensive processes to off-peak time slots. Wattnow's platform automates detection of both opportunities and generates actionable alerts.

In Morocco, energy efficiency projects can benefit from programmes run by AMEE (Agence Marocaine pour l'Efficacité Énergétique), ESCO contracts (energy performance contracts where achieved savings finance the initial investment), and climate finance from the EBRD, EIB and other multilateral development banks aligned with Morocco's 2030 energy targets.

Morocco aims to reach 52% renewable energy in its electricity mix by 2030, creating a favourable policy environment for industrial energy efficiency investments.

EMS ROI is calculated by dividing annual savings achieved (bill reduction + avoided maintenance costs) by the total project cost (hardware + software + integration + training). At Wattnow, the average observed payback period is 12 to 18 months, with energy savings of 10 to 30% depending on sector and baseline consumption profile.

A simulation of expected ROI for your site profile is available on request from our energy experts.

The recommended core indicators are: Energy Intensity (kWh per unit produced), Power Factor, Baseload Energy (consumption outside production hours), Anomaly Detection Rate (detected vs corrected), and deviation from the reference consumption baseline (EnPI per ISO 50001).

All these KPIs are available natively on the Wattnow dashboard, with historical comparison, site benchmarking and automated management reports.

Financial arguments are measurable and auditable: direct reduction in the energy bill (a verifiable P&L line), avoidance of contracted-power overage penalties, reduction of unplanned downtime through early anomaly detection, and carbon credit valuation for CBAM-exposed companies.

Wattnow provides certified savings reports with before/after methodology for management reviews, auditors and board presentations. These reports align with ISO 50001 and international energy accounting standards.

Wattnow's AI algorithms analyze historical consumption data to automatically detect anomalies ; without manual rule configuration. They predict energy demand, anticipate equipment behavior and recommend the most cost-effective optimization actions.

Unlike rule-based alert systems, machine learning models improve over time as they learn the site's consumption patterns. Detection accuracy on Wattnow,deployed sites increases progressively during the first 3 to 6 months.

The electrical load curve represents power consumed over time (day, week, month). Its analysis reveals consumption peaks and their tariff cost, off-production waste periods, and load-shifting opportunities. It is the primary diagnostic tool for STEG tariff optimization.

Wattnow automatically generates load curves by equipment, workshop or building, with comparison to historical baselines and annotation of detected anomalies ; enabling engineers to act on insights rather than spend hours on data preparation.

Baseload energy is the minimum consumption of a site when it is not in production ; nights, weekends, public holidays. It represents on average 15 to 30% of the total annual bill and is structurally avoidable: it signals equipment left on unnecessarily, standby losses or HVAC running in empty spaces.

Wattnow's platform automatically calculates the expected baseload for each site and triggers alerts when actual consumption exceeds the norm ; enabling immediate corrective action.