enmat details of each chart

Introducing

Daily Consumption


ConsumptionThe consumption graph shows kWh consumption over a specified time. It separates different energy types by colour and also by day/night time hours which is set in ENMAT’s tariff settings.


Consumption

1 year in daily data sets


Consumption

1 year in weekly data sets


Consumption

2 days in 1 hourly data sets


Average Power Factor


Power factor is a measure of how effectively electrical power is being used. A high power factor indicates efficient use of the electrical distribution system while a low power factor indicates poor use of the system.

Average Power Factor


Peak Demand


Peak demand shows Authorised Peak Demand (ASC) from the electricity distribution company.

The graph shows Actual Peak Demand of the site against Authorised Peak Demand.

If you exceed your ASC you may be prone to power cuts, blown fuses and general electrical failure.


Maximum Demand


Maximum DemandThe Maximum Demand Chart is showing usage data in Kw.

This chart is showing what is being used on site.


Detailed Chart


Detailed ChartThe detailed chart shows kWh over time. It is useful for identifying gaps in readings or for spike monitoring.


Energy Consumption Chart


Energy Consumption Chart

The Energy Consumption chart shows kWh consumption over a specified time. It separates different energy types by colour and also by day/night time hours which is set in ENMAT’s tariff settings. It is similar to the Consumption Chart, but clusters the energy types and day/night splits side by side rather than stacked on top of one another.


Cost per M2


Cost per M2Cost per M2 provides a useful costing analysis based on the date range specified and a site’s tariff against the surface area of the entire site, or sub metered area. The calculations used are the cost divided by M2.


kWh per M2


kWh per M2kWh per M2 is based on the date range specified against a company, site or sub meted area against the surface area of the entire site, or sub metered area. It provides Energy Managers information on the kWh output of a specified surface area.


Power Factor Detail


Power Factor DetailThe Power Factor Detail Chart shows two lines through the chart over a specified time. Line 1 illustrates power factor, whilst line 2 illustrates kVA (Kilovolt Amperes)


Power Factor Gauge


Power Factor GaugeThe Power Factor Gauge provides a useful outlook on how effectively electrical power is being used on site.

The value on the PF gauge is the average power factor for the period date range specified, scaled up by 100. It provides Energy Managers with an overview of actual power factor against a red, amber and green guidance.

0.95 and above = Green 0.85-0.95 = Amber 0.85 and below = Red


Production per kWh


Production per kWhProduction per kWh graph shows Energy Managers the energy usage against unit of production.

The unit of production method is useful when the property's value is more closely related to the number of units it produces than the number of years it is in use.

This graph is useful to understand the optimum throughput and the minimum energy used to achieve this.


Site Usage Summary


Site Usage SummaryThe site usage summary provides a useful kWh and cost benchmark against a previous time. It outlines YTD against last year, depending on the date ranges you specify and then calculates the variance differential based on red, amber and green targets, which are typically:

10% + = Red 0-9.9% = Amber 0% and under = Green


Co2 Emissions


Carbon Emissions FactorsENMAT uses the DECC Carbon Emissions Factors to provide a more accurate reading of a site’s carbon emissions.


Energy Target Setting


Energy Target SettingENMAT’s Energy Target Charts allows the user to view the following:

• Current Average Consumption for period selected

• vs past consumption (e.g. last year) for period selected

• vs the target that has been set e.g. 10+ = red, 0-9% = Amber, 05 or under = Green


When you specify date ranges ENMAT averages the days specified from last year against current year


Summary Pie Charts


Summary Pie ChartsSummary Pie charts provide an overview of the following:

• Breakdown of day/night consumption

• Week/weekend consumption

• Breakdown of consumption by site/ or sub meter areas

• Elec, Gas and Co2 Emissions breakdown over day/night


Site Usage


Site Usage

The Site Usage Summary provides Energy Managers with a “Bird’s Eye View” of current energy consumption against a previous time (benchmark) it can be used to compare consumption on sites or sub metered areas.


Period Summary


Period SummaryThe period summary provides a useful outlook on electricity and gas usage comparing static costs against variable consumption costs. It summarises day and night energy usage differentials against typical static costs such as standing charges.


Bill ForecastingENMAT Calculates a customer’s Energy Bill by taking the kWh recorded and calculating this against the following costs that are applied by the energy supplier:

• Day Rate e.g. £15 per kWh• Night Rate e.g. £17 per kWh• Standing Charge - £50 P/M Also known as fixed charge, this typically covers the cost of

reading and maintaining energy supply meters, sending bills etc.

• PF Threshold (Guidance) e.g. 11 kWh/KVARH• ASC (Available Supply Capacity) 300 KVA/Month• AC Charge e.g. £400 per kVA• AC Charge Type Fixed Monthly


Bill forecasting and Cost


Bill Forecasting

Now that we have created the predicted energy bill we can also design advanced graphical interfaces


Degree Days


Degree Days ENMAT uses HDD and has taken an average of 15.5. You then subtract the 2.7 degree day or whatever the values are for each region of each day which will give you the recommended heating value that you need to heat to get the building to 15.5 which is the standard building temperature for the UK.

The x axis is representative of the total degrees needed to heat the building, so it could be that I needed to produce 450 degrees in 3 months to heat my building, for exampleCopyright 2015 Envantage Ltd

Main Dashboard


Main DashboardThe Main dashboard is a customisable dashboard allowing users to choose the charts they wish to view on one page.


Main DashboardSelecting the Edit Button as highlighted takes the user into the customise dashboard options page.


Main DashboardHere users can drag available dashboards from the right hand side list, to the left hand side of the screen. The left hand side screen is the list of graphs which will be displayed on a single page.


Regression Analysis


Multiple Regression Analysis


Multiple regression analysis is a powerful technique used for predicting the unknown value of a variable from the known value of two or more variables- also called the predictors.

Regression analysis essentially estimates the relationships among variables (trend).

The purpose of multiple regression is to predict a single variable from one or more independent variables.

What is R2?


R-squared is a statistical measure of how close the data are to the fitted regression line. It is also known as the coefficient of determination, or the coefficient of multiple determination for multiple regression.

R-squared = Explained variation / Total variation.

R-squared is always between 0 and 100%:0% indicates that the model explains none of the variability of the response data around its mean.

100% indicates that the model explains all the variability of the response data around its mean.

What is CUSUM


CUSUM (or cumulative sum control chart) is a change detection technique. As its name implies, CUSUM involves the calculation of a cumulative sum (which is what makes it "sequential")

A CUSUM chart is a time-weighted control chart that displays the cumulative sums (CUSUMs) of the deviations of each sample value from the target value.

Multiple Regression Analysis


The following charts support multifactor regression and CUSUM:

Contact us today for more information

Envantage Ltd 8 Grange Lane Didsbury Manchester M20 6RW

Tel: +44(0) 161 448 7722 Fax: +44(0) 161 448 7722 Email: [email protected] Web: www.en-mat.com

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enmat details of each chart

Environment