kWhScan Energy Assessment

Data Entry

Project Info

Project name Project type Industry Region Assessment basis Report language Currency Owner Contact Diagnostic scope

Integrated Trend Data

Use one synchronized table to assess every connected energy system.

Site-wide time series Import available meters and operating signals together. Unavailable columns may remain blank.

Download CSV template Import Data The quality check identifies which systems are ready for detailed diagnosis.

Part 1: Manual Inputs Enter data that can be obtained on site. Continuous trend data is optional.

Station Efficiency and Target Gap

Annual operating hours h/a * Electricity price /kWh * Annual electricity kWh/a * Annual air volume Nm3/a Average air flow Nm3/min Suction pressure abs MPa Air humidity / liquid water class Total oil content

Enter either annual air volume or average air flow. If both are entered, annual air volume is used first.

Station Control Diagnosis

Minimum end-use pressure barG * Average supply pressure barG * Minimum supply pressure barG Maximum supply pressure barG Station-to-end-use pressure drop bar Control mode Pressure lower setpoint barG Pressure upper setpoint barG

Equipment Selection Diagnosis

Observation period hours *

Distribution and End-Use Diagnosis

Dryer type * Current dryer purge ratio Measured aftertreatment pressure drop bar Measured drain leak Nm3/min Leak test flow Nm3/min Night baseline flow Nm3/min Leak annualization hours h/a

Multi-Energy Boundary Diagnosis

Compressor cooling method * Heat demand type * Recoverable heat-source temperature C Heat demand temperature C Annual useful heat demand kWh/a Heat demand hours h/a Distance to heat user m Existing heat-source carrier Existing heat-source efficiency % Existing energy price /kWh input Existing energy carbon factor kgCO2/kWh Heat-recovery auxiliary electricity kWh/a

Incomplete fields still produce a potential heat-recovery opportunity, but only a complete direct-use and replacement-energy boundary can enter project savings.

Part 2: Trend Data Import

Import station trend data when available.

Station Trend Data Power, flow and pressure are placed in one table. Leave unavailable columns blank.

Download Template Import Data Equipment, aftertreatment and multi-energy boundary data are still entered on this page.

Part 1: Manual Inputs Enter data that can be read from bills, meters and the control system. A chiller diagnosis can still be produced without trend data.

Performance and Target Gap

Annual operating hours h/a * Electricity price * Annual electricity kWh/a * Annual cooling output kWh/a Average cooling load kW Chiller boundary

Equipment Selection Diagnosis

Plant Control Diagnosis

Control mode Chilled-water supply temperature C * Chilled-water return temperature C Terminal required supply temperature C Condenser-water entering temperature C Condenser-water leaving temperature C Outdoor wet-bulb temperature C

Distribution and Terminal Diagnosis

Chilled-water differential pressure kPa Chilled-water pump total power kW Condenser-water pump total power kW Cooling tower fan total power kW Bypass valve normally open Average terminal valve opening %

Multi-Energy Boundary Diagnosis

TOU tariff available Thermal storage space available Waste heat demand type Heat demand temperature C Annual useful heat demand kWh/a Heat demand hours h/a Distance to heat user m Existing heat-source carrier Existing heat-source efficiency % Existing energy price /kWh input Existing energy carbon factor kgCO2/kWh Heat-recovery auxiliary electricity kWh/a Free cooling condition

Incomplete fields or a required temperature lift remain advisory. They are not added to project savings until the lift-device energy boundary is calculated.

Part 2: Trend Data Import

Import one chiller-plant trend table when BMS, EMS, SCADA or controller exports are available.

Chiller plant trend data Place time, total power, cooling output, flow, temperatures, differential pressure, pump/tower power and unit status in one table. Leave unavailable columns blank.

Download CSV template Import Data Basic information is still entered on this page; trend data improves diagnostic confidence.

Part 1: Manual Inputs Enter bills, heat output, unit records and control data. A heat pump diagnosis can still be produced without trend data.

Performance and Target Gap

Annual operating hours h/a * Electricity price * Annual electricity kWh/a * Annual heat output kWh/a Average heating load kW Heat pump boundary Heat source type

Equipment Selection Diagnosis

Plant Control Diagnosis

Control mode Supply temperature setpoint C * Actual supply temperature C * Actual return temperature C Minimum terminal supply temperature C Heat-source inlet temperature C Heat-source outlet temperature C Auxiliary heat source annual energy kWh/a

Distribution and Terminal Diagnosis

Load-side flow m3/h Source-side flow m3/h Load-side pump power kW Source-side pump power kW Load-side differential pressure kPa Bypass valve normally open

Multi-Energy Boundary Diagnosis

Replacement energy type Replacement energy price /kWh-thermal Replaceable annual heat kWh/a Heat demand temperature C Waste heat source type Waste heat temperature C TOU tariff or PV available

Part 2: Trend Data Import

Import one heat pump trend table when BMS, EMS, SCADA or heat pump controller exports are available.

Heat pump trend data Place time, total power, heat output, supply/return temperatures, source-side temperature, flow, pump power and unit status in one table. Leave unavailable columns blank.

Download CSV template Import Data Basic information is still entered on this page; trend data improves diagnostic confidence.

Part 1: Manual Inputs Enter bills, boiler records, combustion controls and steam distribution data. A steam or boiler diagnosis can still be produced without trend data.

Performance and Target Gap

Annual operating hours h/a * Fuel type * Fuel price /m3 * Annual fuel consumption m3/a * Annual steam generation t/a * Average steam pressure MPa * Typical feedwater temperature C Boiler-house auxiliary electricity kWh/a

Equipment Selection Diagnosis

System Control Diagnosis

Multi-boiler control mode Boiler outlet pressure setpoint MPa * Maximum end-use pressure demand MPa Typical flue gas temperature C Typical flue-gas oxygen % Blowdown rate % Blowdown mode Oxygen trim/combustion control

Distribution and End-Use Diagnosis

Condensate return rate % Condensate return temperature C Steam trap count Steam trap fault rate % Main distribution length m Insulation condition Visible leakage present PRV/desuperheating

Multi-Energy Boundary Diagnosis

Low-grade steam demand t/a Low-grade steam temperature C Replacement energy type Replacement energy price /kWh-thermal Stable waste heat temperature C Absorption chiller demand

Part 2: Trend Data Import

Import one steam/boiler trend table when boiler controller, BMS/EMS or energy-meter exports are available.

Steam/boiler trend data Place time, fuel, steam, pressure, feedwater, flue temperature, oxygen, blowdown, condensate and auxiliary power in one table. Leave unavailable columns blank.

Download CSV template Import Data Boiler records, steam traps and multi-energy boundary data are still entered on this page; trend data improves diagnostic confidence.

Part 1: Manual Inputs Enter electricity bills, demand, power factor, transformer and PV/storage boundary data. An electrical diagnosis can still be produced without trend data.

Bill and Load Target Gap

Annual electricity kWh/a * Annual electricity cost Electricity price /kWh Annual operating hours h/a * Tariff type Maximum demand kW Contract demand kW Demand charge /kW-month Average power factor Annual power factor penalty

Enter either annual electricity cost or electricity price. If both are entered, annual cost is used first to back-calculate the effective electricity price.

Equipment Selection Diagnosis

Transformer count Unit capacity kVA Operating mode Average load rate % Peak load rate % Reactive compensation capacity kvar SVG/APF PV capacity kW Storage power kW Storage capacity kWh

System Control and Dispatch Diagnosis

Demand control mode Shiftable load kW Shiftable hours h/d Storage operating strategy PV self-use rate % PV export credit /kWh EMS present Peak price /kWh Off-peak price /kWh

Distribution and End-Use Diagnosis

Typical voltage level kV Voltage deviation % Phase unbalance % Current THD % Main feeder length m Large motor/load kW

Multi-Energy Boundary Diagnosis

Chiller flexible scheduling available Heat pump flexible scheduling available Compressed air flexible scheduling available Electric boiler/electric heating present Demand window min Flexible peak-shedding capacity kW

Part 2: Trend Data Import

Import one electrical trend table when meter, EMS or power-quality records are available.

Electrical trend data Place time, total power, energy, power factor, voltage/current, harmonics, demand, PV, storage and subsystem power in one table. Leave unavailable columns blank.

Download CSV template Import Data Bills and equipment boundary data are still entered on this page; trend data improves demand, PF, PV/storage and power-quality confidence.

Part 1: Manual Inputs Enter terminal fan, schedule, static pressure, outdoor air, reheat/humidification, filter and hydronic terminal boundaries. A first-pass HVAC diagnosis can still be produced without trend data.

Performance and Target Gap

Annual terminal electricity kWh/a Annual operating hours h/a * Electricity price /kWh Conditioned area m2 Service type System type

Annual terminal electricity can be entered directly. If unavailable, enter operating hours and main fan power; the system estimates terminal electricity from fan-energy share.

Equipment Selection Diagnosis

Terminal unit/fan count Main fan power kW * Total supply airflow m3/h * Design static pressure Pa VFD present Filter pressure drop Pa

Optional AHU / fan unit table

Enter unit-level data when available; the system summarizes fan power and airflow for equipment fit and SFP judgment.

System Control Diagnosis

Control mode Actual operating hours h/week Occupied hours h/week Static pressure setpoint Pa Outdoor air ratio % CO2/demand ventilation present Supply air temperature C Room target temperature C Reheat/humidification present

Distribution and Terminal Diagnosis

Chilled-water supply temperature C Chilled-water return temperature C Hot-water supply temperature C Hot-water return temperature C Average terminal valve opening % Terminal hydronic differential pressure kPa Typical damper opening %

Multi-Energy Boundary Diagnosis

Heat recovery type Exhaust airflow m3/h Heat recovery effectiveness % Upstream heating/cooling source Heating/cooling demand type

Part 2: Trend Data Import

Import one terminal HVAC trend table when BMS, DDC, EMS or fan VFD records are available.

Terminal HVAC trend data Place time, total power, fan power, airflow, static pressure, outdoor-air ratio, CO2, supply/return air temperature, filter pressure drop, water-side temperature and valve position in one table. Leave unavailable columns blank.

Download CSV template Import Data Basic fields are still entered on this page; trend data improves schedule, static pressure, airflow, outdoor-air and water-side confidence.

Annual baseline electricity

0 kWh/a

Quantified savings (total)

0 kWh/a

Of which: engineering estimates

0 kWh/a

Saving rate

Annual cost saving

0 USD/a

The engineering-estimate portion is included in the quantified total, not additional savings.

Project-level diagnosis result

After diagnosis, this section shows the project-level judgment and engineering action direction.

Annual carbon reduction 0 tCO2/a Specific compressed-air energy 0 kWh/Nm3 Specific compressed-air cost 0 USD/Nm3

Industry case

Integrated-energy audit example

Representative example

Priority opportunities and actions

Decision view

Data to prepare next

Site validation

View calculations, assumptions, and verification data For engineers and report reviewers

Baseline cost structure

USD/a

Measure contribution waterfall

USD/a

Electricity savings by system

kWh/a

Heat recovery and fuel-side opportunities

MMBtu/a

Quality, safety and savings boundary

Process boundary used by the diagnosis

Calculation and evidence details

Implementation considerations

Measure	Complexity	Main cost driver	Production impact

Minimum asset register

ID	System	Type	Capacity	Power	Condition

Measurement and verification plan

Performance and Target Gap

Not diagnosed

After diagnosis, this section shows station efficiency, target gap and expected optimized level.

Energy-system diagnosis results

Energy system	Annual baseline electricity	Saving rate	Main finding	Recommended direction
Compressed Air	0 kWh/a	0%	Not diagnosed	Not diagnosed
Chiller system	0 kWh/a	0%	Not diagnosed	Not diagnosed
Heat pump system	0 kWh/a	0%	Not diagnosed	Not diagnosed
Steam/boiler	0 kWh/a	0%	Not diagnosed	Not diagnosed
Electrical	0 kWh/a	0%	Not diagnosed	Not diagnosed
Terminal HVAC	0 kWh/a	0%	Not diagnosed	Not diagnosed
Multi-energy coupling	Project-level increment	0%	Not diagnosed	Not diagnosed

Project saving sources

Diagnosis result

Multi-energy coupling diagnosis

Field verification recommendations

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Project Info

Process-to-energy mapping

Project-level diagnosis result

Integrated-energy audit example

Priority opportunities and actions

Data to prepare next

Baseline cost structure

Measure contribution waterfall

Electricity savings by system

Heat recovery and fuel-side opportunities

Quality, safety and savings boundary

Process boundary used by the diagnosis

Calculation and evidence details

Implementation considerations

Minimum asset register

Measurement and verification plan

Performance and Target Gap

Energy-system diagnosis results

Project saving sources

Multi-energy coupling diagnosis

Field verification recommendations

Compressed Air diagnostic detail

Savings breakdown

Five-module contribution

Top target coverage

Recommended retrofit package and priority

Implementation path and M&V

Implementation path

M&V

Compressed Air five-module review

Five-module diagnostic detail

Chiller system diagnostic detail

Method and evidence basis

Chiller savings breakdown

Five-module contribution

Chiller-by-chiller equipment judgment

Chiller five-module review

Chiller diagnostic detail

Heat pump system diagnostic detail

Method and evidence basis

Heat pump savings breakdown

Five-module contribution

Heat-pump-by-heat-pump equipment judgment

Heat pump five-module review

Heat pump diagnostic detail

Steam/boiler diagnostic detail

Method and evidence basis

Steam savings breakdown

Five-module contribution

Boiler-by-boiler equipment judgment

Steam/boiler five-module review

Steam/boiler diagnostic detail

Electrical diagnostic detail

Method and evidence basis

Electrical benefit breakdown

Five-module contribution

Electrical five-module review

Electrical diagnostic detail

Terminal HVAC diagnostic detail

Top visible measures

Method and evidence basis

Terminal HVAC savings breakdown

Five-module contribution

Terminal HVAC five-module review

Terminal HVAC diagnostic detail

Your industry-mapped diagnosis is ready. Unlock the full engineering pre-audit report.