Guangzhou Tongwei Smart Technology Co., Ltd. (Tongwei Smart) treats smart energy management as one class of scenario supplied with its industrial-grade AIoT solutions, helping enterprises connect equipment, environment, and energy sites to the IoT. The first step of energy management is not a promise of how much will be saved. It is to establish, for each site, piece of equipment, and production step, what energy was actually used, whether the data can be trusted, and who checks an exception.
The energy exhibits at the fair show that the focus is widening
At CIIF 2026, Delta showed an energy scheme centred on a solid-state transformer, covering a source-grid-load-storage integrated DC microgrid, and introduced infrastructure schemes aimed at scenarios such as AI data centres. This is Delta’s account of its own products and technical route. It cannot be read directly as every enterprise needing the same system. It does show that energy management is becoming connected with power structure, energy storage, data centres, and park operations.
Energy management can be done step by step in three stages
In the first stage, get the data connected completely. Choose the sources for electricity, water, gas, cooling and heating, and for PV, energy storage, and charging, according to the customer’s site, and confirm the meters, the collection frequency, the metering scope, and data responsibility. Data across sites has to use the same units, time periods, and equipment names, or a monthly comparison is easily distorted.
In the second stage, assign the data to business objects. Map energy consumption to a site, a building, a production line, a piece of equipment, or a tenant, and combine classified and itemised statistics, unit consumption, and peak, flat, and valley analysis, so that managers can see where the change occurred. Tongwei Smart can start from edge access, the data register, trend viewing, exception prompts, and reports. Compatibility of specific equipment has to be assessed with the list, the protocol, and the point table.
In the third stage, discuss improvement and control. When the data is stable and the field rules are clear, the management team can choose high-consumption equipment, abnormal periods, or peak load for checking, and then assess energy-saving measures. Automatic dispatch and closed-loop control involve equipment, safety, and production responsibility. They must be assessed separately and carried by the corresponding specialised systems.
First make it visible and traceable
The direction of Tongwei Smart’s energy scheme is to bring dispersed energy data into one register, and to support classified analysis, operating trends, and the operations loop. It is not a complete EMS. It does not perform real-time energy dispatch, production control, or safety protection, and it does not replace equipment such as inverters, PCS, BMS, and charge controllers. Without a project baseline and verification data, a fixed energy-saving ratio or a cost saving should not be promised.
For a multi-site park, or an enterprise with a clear metering retrofit, one building, one site, or one typical circuit can be chosen first. Confirm the data sources, the basis of analysis, and the acceptance target, and then decide the scope of expansion. Tongwei Smart suggests starting from a diagnosis of energy-use data and metering scope.
Common questions
- Which data should a factory smart energy management system connect first?
- Start from metering data that is already on site and can be checked. Make clear the energy types, such as electricity, water, gas, and cooling and heating, the metering scope, the equipment source, and the collection period. Data for PV, energy storage, and charging is assessed item by item against the interface conditions.
- How does a park do classified and itemised metering, and peak, flat, and valley analysis?
- First unify the objects of ownership, such as site, building, production line, or tenant, and then check the meters, units, time periods, and the tariff basis. Only after the data basis is stable can unit consumption, peak, flat, and valley, and abnormal changes be compared.
- Is Tongwei Smart’s energy management scheme a complete EMS?
- No. The scheme is positioned as energy data access, classified analysis, operating visibility, and operations support. It does not perform real-time energy dispatch, production control, or safety protection.
- Can IoT energy management guarantee a given amount of energy saving?
- A fixed ratio cannot be promised when there is no site baseline, no retrofit measure, and no verification period. An energy-saving result has to be measured and confirmed against the specific equipment and operating measures.