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TashIT

energy monitoring and dispatch

Lower energy cost per unit with optimised dispatch

We meter where energy actually goes, forecast load, solar output and tariff bands, and recommend the lowest-cost safe dispatch for every hour.
Pilot
8–12 weeks
Starts with
A diagnostic, typically 1–3 weeks
Measured against
Your own agreed baseline

The problem

Does this sound familiar?

This is the situation the solution is designed for. If it matches yours, a short diagnostic will show how large the opportunity is in your operation.

Who it is for

Plants that run a mix of grid supply, captive gas or coal generation, solar, batteries and waste-heat recovery, where dispatch still depends on a phone call and a spreadsheet.

A typical situation

Energy is now one of our largest costs after raw materials. We have grid supply, gas engines, a coal-fired boiler, rooftop solar and a new battery, but dispatch is still decided by phone and by habit. We pay peak-band rates when we should not, we know our total bill but not which line, shift or product drives it, and we cannot show the board whether the solar and battery investment is paying back.

A composite description of a common situation, not a quote from any organisation.

Outcomes

What Energy Monitoring & Dispatch Optimisation can improve

Indicative ranges, validated in your pilot. These figures come from comparable industry programmes, not from TashIT projects. Your pilot sets a baseline with you and measures the actual change.

  • Indicative

    Energy cost

    Typically 3-8% saving on total energy spend

    Basis: Sub-metering and dispatch optimisation programmes in energy-intensive plants. Depends on tariff structure, the generation mix and how well dispatch is run today.

  • Indicative

    Peak and time-of-use charges

    Typically 5-15% lower peak-band and maximum-demand charges

    Basis: Load shifting and battery peak shaving where tariffs price time of use or maximum demand. Only applies where the tariff rewards it and loads can move.

  • Indicative

    Captive generation fuel

    Typically 1-4% less fuel per kWh generated

    Basis: Better engine loading, fewer part-load hours and coordination with waste-heat recovery. Depends on engine condition, load profile and fuel contracts.

  • Indicative

    Energy reporting effort

    Typically from days to hours each month

    Basis: Automated collection replaces manual meter readings and spreadsheets for monthly energy, cost-allocation and emissions reports. Depends on metering coverage.

From data to decision

How energy monitoring and dispatch works

Each step builds on the systems you already run. Nothing is switched to automatic control until your team has seen it work.
Ask about your data
  1. Step 1: Meter what matters

    We review your single-line diagram and existing meters, then add sub-meters and gateways at main feeders, large drives, compressors, chillers and every generation source. Reliable data already in PLCs, SCADA or generator controllers is reused.

  2. Step 2: Build the energy baseline

    Energy use is related to production volume, product mix, shift pattern and weather to give a baseline per line and per unit of output. Every saving is measured against this reference.

  3. Step 3: Forecast load, solar and tariffs

    Models forecast plant load and solar output for the coming hours and days, and combine them with tariff bands, fuel prices, battery state of charge and equipment limits.

  4. Step 4: Recommend the dispatch

    An optimiser recommends which sources to run, at what load, and when to charge or discharge the battery, within reliability and safety constraints. Operators see each recommendation and the reason for it. Closed-loop control is optional and comes later, if at all.

  5. Step 5: Verify the savings

    Dashboards and monthly reports compare actual cost with the baseline and with the recommended plan, so savings are verified rather than assumed.

Data and integration

What we need, and what it connects to

Most of this data already exists in your systems. The diagnostic confirms what is usable before the pilot starts.

Data we need

  • 12 months of utility bills and the tariff schedules that apply to your connection
  • Single-line diagram and a list of existing meters, generators, solar inverters, batteries and waste-heat recovery units
  • Interval data from existing meters and controllers (15-minute or finer where available)
  • Fuel purchase and consumption records for captive generation
  • Production volumes by line or product, and shift patterns
  • Equipment constraints: minimum loads, start-up times, ramp rates and maintenance windows

Integrates with

  • SCADA, DCS and PLC systems over Modbus or OPC UA
  • Plant historians such as AVEVA PI
  • Generator controllers, solar inverters and battery management systems
  • Building management systems
  • ERP production and cost data (SAP, Oracle, Microsoft Dynamics and local ERPs)
  • Utility AMR or AMI meter data, where the utility provides access

How the pilot works

Piloting energy monitoring and dispatch

A paid pilot on a defined scope, with success measures you sign off before work starts.

Duration

8–12 weeks

Scope

One site or one complex: sub-metering of the main loads and sources, an agreed energy baseline, and dispatch recommendations run alongside current practice for at least four weeks.

Success measures

Agreed in writing before work starts, with targets set against your baseline.

  • Agreed share of site load metered and reconciled with the utility bill
  • Energy cost per unit of output against the agreed baseline
  • Cost difference between recommended and actual dispatch over the trial period
  • Share of recommendations reviewed and acted on by operators

The pilot follows a short diagnostic and ends with a written results review. Scaling up is a separate decision, made on the measured results. How our engagements work

  • Solution blueprint

    Captive power dispatch optimiser

    A forecast-based dispatch advisor that schedules grid supply, captive generation, solar and battery storage to meet plant load at the lowest cost per unit.

    Status: Reference architecture and pilot plan, available for a paid proof of concept. Reference material, not a client project.

    See the solution blueprint

Keep exploring

Solutions that often sit alongside this one in the same industries. Many organisations start with one and add a second once the first has shown results.

Related insights

FAQs

Questions about energy monitoring and dispatch

Something else to ask?

Email your question with a little about your site and systems, and we will reply in plain language.

info@tashit.com
Do you replace our SCADA or generator controls?

No. We read from existing systems and add meters only where data is missing. Recommendations go to operators first. If you later want closed-loop control, it is engineered with your controls team and equipment vendors, and existing safety interlocks stay where they are.

We already have an energy dashboard. What is different?

Most dashboards show what happened. This adds a baseline that adjusts for production, forecasts of load and solar output, and a dispatch plan that accounts for tariffs and equipment limits. If your meters and dashboard are sound, we build on them rather than duplicate them.

How are savings measured?

Against a baseline agreed before the pilot starts, normalised for production volume and, where relevant, weather and tariff changes. We follow the logic of the International Performance Measurement and Verification Protocol (IPMVP) so the figures stand up to finance review.

Ready to scope a pilot?

Tell us about your site or process and the data you already have. We will reply with a diagnostic plan, the measures we would propose for a pilot and an honest view of feasibility.