Pit & Pendulum
What We Measured
Real-time IoT energy monitoring & optimisation was deployed across 6 categories of equipment over a representative measurement period of one week.
Bottle Fridges
8 units optimised
Beerline + cask Coolers
4 units optimised
Soft Drink Cooler
1 unit optimised
OUTDOOR LIGHTING
Boiler
1 unit optimised
Cellar Cooling
1 unit optimised
Scope of Analysis
GeoEnergy's assessment combined physical site intelligence with live IoT monitoring data across all connected equipment at the Pit & Pendulum .
Site Survey
Physical survey of Pit & Pendulum capturing equipment inventory, scheduling practices, and operational behaviours across 16 items.
Energy Data Analysis
Half-hourly electricity and gas consumption data reviewed
Operational Analysis
Out-of-hours usage reviewed against actual trading hours
EQUIPMENT Reviewed
Bottle fridges, beerline & cask coolers, soft drink coolers, cellar cooling, boiler and outdoor lighting — the principal sources of controllable energy consumption at this site.
The Findings at a Glance
PROJECTED Reduction
38,805 kWh annualised savings potential
PRoJECTED AnnualISED Savings
Mixed rate: gas @ £0.06/kWh, electricity @ £0.23/kWh
Breakdown by Equipment Type
HIGHLIGHTS
The boiler out-of-hours is the single largest saving at 23,3 kWh/yr, followed by beerline coolers at 4,9 kWh/yr.
All figures are annualised from one week of live monitoring data.
How We Achieve SAVINGS
Savings are achieved by controlling when equipment runs — turning things off overnight and during closed hours, with smart pre-starts to ensure everything is ready for trading.
Electricity — Refrigeration & Cooling Equipment
- Turned off overnight based on trading hour schedule
- Pre-starts ensure equipment is at correct operating temperature before opening
- Cellar cooler runs at a higher setpoint overnight rather than maintaining full cooling
Gas — Heating (Boiler)
- Out-of-hours operational schedule control switches heating off overnight
- Site-specific tuning applied (lower balance point of ~11–12°C due to urban location)
- No savings claimed during trading hours — conservative approach
Gas — Hot Water
- Circulation pump controlled on schedule rather than running 24/7
- Indirectly reduces how much the water heater needs to run to maintain temperature
- Exact savings pending gas meter data confirmation
Recommended NEXT STEPS
Pilot Parameters
sites TO SURVEY
sites TO install
Month duration
Sites to be selected to represent a cross-section of estate typologies — ensuring findings are broadly applicable at rollout.
Pilot Objectives
Validate Projected Savings
Confirm that half-hourly data analysis translates into measurable, on-bill cost reduction at live sites
Identify Operational Improvements
Surface site-specific behaviours and equipment issues beyond those visible through desktop analysis alone
Build the Estate Rollout Case
Produce an evidenced commercial case — with verified payback metrics — to support a board-level decision on full deployment
APPENDIX
Methodology
This section outlines the technical approach to energy monitoring and optimisation. IoT sensors were deployed on each identified equipment type, logging consumption data at minute intervals. Advanced algorithms analysed usage patterns, identified inefficiencies, and simulated optimised schedules based on operational hours and thermal inertia. Environmental factors were cross-referenced to ensure accurate baseline calculations.
- Real-time data capture and cloud processing
- Machine learning for predictive optimisation
- Validation against historical energy bills
Key Terminology
Understanding the core terms used in this report:
- IoT: Internet of Things – network of physical devices embedded with sensors for data collection.
- kWh: Kilowatt-hour – standard unit of energy consumption.
- Baseline Consumption: The measured energy usage of equipment before any optimisation was applied.
- Optimised Consumption: The projected energy usage after implementing smart control schedules.
- Annualised Savings: The estimated yearly reduction in energy consumption and cost based on observed pilot data.
APPENDIX: Site Survey
Daily Baseline
Total all equipment
Projected Baseline Cost
Electricity £9,750 + Gas £1,996
Projected Optimised Cost
Electricity £6,073 + Gas £627
Annualised Saving
Projected at mixed rate
* Boiler & hot water calculated at gas rate (£0.06/kWh). All refrigeration at electricity rate (£0.23/kWh). Hot water saving pending gas meter confirmation.
Surveyor Notes
- 24/7 running equipment — majority of sites had something left on around the clock
- Ageing/broken kit — boilers and water heaters in disrepair, costing significantly in energy efficiency across multiple sites
- No operational runtime controls — more often than not, systems were left running manually with no scheduling or time-based control
APPENDIX: Consumption Profile
The charts below show examples of live energy consumption data captured over the measurement week. Spikes visible during the optimised period are due to brief overshoot when equipment powers on — this is expected behaviour.
INTERIM POV ENERGY OPTIMISATION UPDATE