The Energy Category under the Physical Pillar considers four core indicators and five supporting indicators to calculate the category Index. It primarily looks at authorised electric connections, efficiency of electric supply, energy from alternate sources, energy used by city governments for street lighting, water supply and sewerage and finally per capita energy consumption.
A total of 9 parameters have been considered for determining the Energy Index. These have been explained below. Kindly click each parameter for detailed description and tentative sources of information.
| No. | Name | Unit | Benchmark | |
|---|---|---|---|---|
| 10.1 | Percentage of city population with authorized electrical service | Percentage | 100% | |
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Description:
This denotes the extent to which households in the city are being served through authorized electrical connections, and enjoy associated services such as complaint registration and timely grievance redressal.
Expressed as:
Number of authorized electrical connections at household level
X 100 =
Total number of households in the city
Methodology/
Interpretation and Sources of Data:
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| 10.2 | Percentage of electrical connections covered through smart meters | Percentage | 100% | |
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Description:
The extent to which electrical connections in the city are covered through smart meters, leading to better monitoring and reduction in losses. Smart metering is an essential component of a smart grid, and supplies the required meter data and events’ information to the utility’s various IT systems, including its outage management system. This allows better management of power outages and restoration, and can improve reliability of supply in the long run.
Expressed as:
Number of electrical connections (residential and commercial) with smart meters
X 100 =
Total number of electricity connections in the city
Methodology/
Interpretation and Sources of Data:
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| 10.3 | Average number of electrical interruptions per customer per year | Number per consumer | City with the lowest number of outages (amongst cities in the same city-size classification as given in this document) will be treated as a benchmark | |
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Description:
This denotes the reliability of electric supply for both residential and commercial users, in terms of frequency of electrical interruptions causing inconvenience to users. This indicator is also known as the System Average Interruption Frequency Index (SAIFI), defined as the average number of sustained interruptions (outages that last more than 5 minutes) per consumer during the year. This is one of the critical reliability indicators prescribed under the IEEE Standard 1366, 2012.
Expressed as:
Total number of sustained electrical interruptions in a year
=
Total number of consumers (residential and commercial) served in the same year
Methodology/
Interpretation and Sources of Data:
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| 10.4 | Average length of electrical interruptions per customer per year | Hours per consumer | City with the lowest average length of outages (amongst cities in the same city-size classification as given in this document) will be treated as a benchmark | |
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Description:
In combination with Indicator 10.3 this denotes the reliability of electrical supply for both residential and commercial users, in terms of average duration of unscheduled electrical interruptions causing inconvenience to users. This indicator is also known as the System Average Interruption Duration Index (SAIDI), defined as the average duration of sustained interruptions (outages that last more than 5 minutes) per consumer during the year. This is one of the critical reliability indicators prescribed under the IEEE Standard 1366, 2012.
Expressed as:
Sum of duration of all sustained electrical interruptions in a year (in hours)
=
Total number of consumers (residential and commercial) served in the same year
Methodology/
Interpretation and Sources of Data:
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| 10.5 | Percentage of total energy derived from renewable sources | Percentage | 10% | |
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Description:
The extent to which energy demand is met from non-conventional energy sources such as solar energy, wind energy etc. thereby reducing the dependence on energy produced through nonrenewable sources. Cities can actively promote installation of renewable energy systems both in public buildings and public spaces, as well as individual households and community facilities.
Expressed as:
Total installed capacity for generation of renewable energy in the city
X 100 =
Total energy consumption from all sources
Methodology/
Interpretation and Sources of Data:
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| 10.6 | Energy consumption per unit - water supply and sewerage | kWh per million litres | City with the lowest per unit consumption (amongst cities in the same city-size classification as given in this document) will be treated as a benchmark | |
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Description:
The extent to which ULB has adopted energy saving options to reduce the energy consumption on water supply and sewerage services through interventions such as use of energy efficient pumps for water and wastewater systems.
Expressed as:
Energy consumption on water supply and sewerage services
=
Total quantum of water and waste water handled during the period
Methodology/
Interpretation and Sources of Data:
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| 10.7 | Energy consumption per unit – street lighting | kWh per light installation | City with the lowest per unit consumption (amongst cities in the same city-size classification as given in this document) will be treated as a benchmark | |
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Description:
The extent to which ULB has adopted energy saving options to reduce the energy consumption on street lighting through interventions such as installation of energy saving LED lights and/or solar panels in street lights, and general lighting in public places such as plazas, squares etc.
Expressed as:
Energy consumption on street lighting
=
Total number of street light installations
Methodology/
Interpretation and Sources of Data:
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| 10.8 | Percentage of new and redeveloped buildings following green building norms | Percentage | 80% | |
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Description:
The extent to which new developments and redevelopments have adopted green building norms and have received GRIHA, LEEDS or equivalent green ratings, leading to reduction in overall energy consumption.
Expressed as:
Built up area of new/redeveloped buildings completed that have received green ratings
X 100 =
Total built up area of all new/redeveloped buildings completed during the same year
Methodology/
Interpretation and Sources of Data:
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| 10.9 | Total energy consumption per capita | kWh per capita | City with the lowest per capita consumption (amongst cities in the same city-size classification as given in this document) will be treated as a benchmark | |
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Description:
This denotes the per capita energy consumption by residential, commercial and industrial users in the city. This is an important indicator that can be used by cities to plan various conservation and efficiency-related interventions for optimizing energy use.
Expressed as:
Total energy consumption (for all uses) in the city
=
Total population of the city
Methodology/
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