India is experiencing rapid growth and
expansion of its cities. Indian cities contribute 2/3rd of the
economy, are major recipients of Foreign Direct Investments and originators of
innovation and technology. Indian cities are projected to grow in population
from 282 million to 590 million people as a result of migration of people from
rural areas to cities in search of economic opportunities (Worldbank, 2011). Meeting the needs
of the growing urban population will require strategic policy making at the
national, regional and state levels. The rapid pace of urbanization would pose
a challenge for cities in terms of provision of essential infrastructure such
as housing, water and sanitation and urban transport which would involve heavy
capital investments. The need of the hour is to have well-managed cities which
offer high quality of services to its citizens.

In pursuance of the goal of improving the
quality of life for people in cities, the Government of India launched the
Smart Cities Mission

1.1.         
Background

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1.1.1 What is a smart city?

The smart cities mission
was launched in 2015 under the aegis of the Ministry of Urban Development. The
mission envisioned the development of 100 smart cities with a focus on making
them citizen friendly and sustainable. The objective of the mission is to
develop cities with core infrastructure that provides a decent quality of life
to citizens, clean and sustainable environment and application of smart
solutions which is an essential character of a smart city. However, the
definition of a smart city varies from place to place depending on the willingness
to change and resources and aspirations of the city residents. The core
infrastructure elements that are described refer to the following;

1)     
Adequate water supply

2)     
Assured electricity supply

3)     
Sanitation, including solid
waste management

4)     
Efficient urban mobility and
public transport

5)     
Affordable housing, especially
for the poor

6)     
Robust it connectivity and
digitalization

7)     
Good governance, especially
e-governance and citizen participation

8)     
Sustainable environment

9)     
Safety and security of
citizens, particularly women, children and the elderly

10) 
Health and education

1.1.2 Smart Solutions

‘Smart’ Solutions refer to the usage of
information technology and data to improve infrastructure and services with an
aim to improve the quality of life, provide employment opportunities for all
and encourage inclusive development of cities (Sumpena, 2016). Smart solutions have been provided in different areas of development
such as urban mobility, waste management, water management, energy management
and E-governance.

Figure 1 Smart Solutions

Smart solutions in the energy and water
management sectors propose the usage of smart grids to promote efficiency in
the provision of water and electric supply.

1.1.3 Smart Water Grid

A
smart grid is a concept which promotes the integration of information and
communication technology in the management of water distribution networks.
Sensors, digital controls and analytical tools are utilised to automate,
monitor and control the transmission and distribution of water to efficiently
deliver good quality water to the consumer. Digitization and automation enable
remote collection of data and transmission to a central system for analysis and
monitoring. The large pools of data collected enable predictive analysis and
efficiency in  operations and management (Public Utilities Board Singapore, 2016).

The
solution was described by Sensus (2012a) as consisting of five layers. The
first layer is a set of measurement and sensing devices (electromagnetic and
acoustic). They collect data and help identify any abnormalities in the system.
The second layer consists of communication channels which continuously gather
information from the first layer and transmit them over wireless networks. Once
the data is collected, it has to be presented in a manner that is legible and
articulate. The data is presented in form of spreadsheets, piecharts, mapping
and other visualization tools. The fourth layer is the real time data analysis
and modelling software, the purpose of these is to extract information from the
collected data such as detecting consumption patterns, discerning between false
alarms and genuine concerns. All these strategies will help the utility to act
efficiently to any future scenarios. The last layer is the water network
solution, which ties with the second layer of communication channels and
includes automation and control tools. It enables the utility to remotely measure
and mange devices in the network. (Martyusheva, 2014).

The
Smart Water Grid provides the following benefits to the Utility

1)     
Real time Monitoring of Assets for preventative maintenance. With
advanced sensing technologies data on assets conditions can be used to prepare
a replacement and rehabilitation schedule in order to replace the right pipe at
the right time.

2)     
Real time monitoring of pressure and water quality – Data from sensors
and meters can enable detection of leaks in the network, monitoring of water
quality conditions and alerts when there is a risk of water contamination.
Automated valve operations enable shutting off of valves in case of flooding,
water loss and spreading of contaminated water.

3)     
Real time information on consumption patterns with respect to water
can encourage consumers to adopt water conservation measures. It enables the
consumers to make informed choices regarding water conservation measures in
their homes and utilities to predict the water demand and the quantity of water
to be treated and pumped.(Public Utilities Board Singapore, 2016)

1.1.4 What is a smart meter?

An
important part of a Smart Water Grid are smart meters. Smart Meters are
electronic devices which record the consumption of electricity, water or gas in
intervals of an hour or less and enable two way communication between the
consumer and the utility. The smart meter has been proposed to replace the
accumulation meter to get more accurate readings through more efficient methods
of water flow detection.   It could help consumers monitor their
consumption and understand how they can save resources efficiently. The meters
interact with the consumer through smart phone applications, website or in-home
display units which shows the consumer their consumption in real time. The
feedback on consumption received by the consumer can promote conservation
behaviour through proper implementation of design principles.  

Smart
Metering refers to both Automated Meter Reading (AMR) and Advanced metering
Infrastructure (AMI). AMR refers to the automated collection of meter readings
through radio transmission which prevents the need for physical inspection (Blom, Cox, & Raczka, 2010).  

Automated
Meter Reading (AMR) – This is a method of collecting meter readings through radio
transmitted signals. This method is considered to be faster than the conventional
method of meter reading. Using the technology utility reader can drive by
residences to collect the water consumption readings. The meter can detect if
the water is being used continuously which is an indicator of a leak in the
system. It has the capability to notify the consumer and prevent high bills for
the end user (Martyusheva, 2014).

Advanced
Metering Infrastructure (AMI) –

The
advantages for the consumer and the utility are as follows.

Advantages
for the utility

It
eliminates the need for monthly manual readings of meters. Enables the utility
to propose dynamic pricing based on demand. Due to the reduction in demand
brought about by the pricing mechanisms and increased awareness of the consumer
towards water consumption provided by feedbacks, the need for capital
investment is deferred.  As smart meters
capture the consumption data accurately they contribute to an increase in
revenue for the utilities particularly the ones which are facing a large
percentage of non-revenue water.

Advantages
for the Consumer

It
enables the consumer to receive detailed data on their consumption through
interfaces such as smart phone applications, websites or in-home display
devices. This feedback on consumption enables the consumer to adopt water
conservation measures and reduce their consumption thereby resulting in savings
for the consumer.

1.1.5 Current scenario of smart metering in India

Indian
Water utilities are plagued with issues such as water theft and high percentage
of non-revenue water. India’s average non-revenue water rate is around 34%
which is significantly higher than the global average of 28%. To address these
problems, Indian utilities have adopted Advanced Metering Infrastructure (AMI).
Two authorities that are trialling AMI are Bangalore Water Supply and Sewerage
Board (BWSSB) and Kerala Water Utility (KWA).

The
utilities are using IBM’s Big Data and Predictive Analytics Technology to
manage distribution networks to meet the increasing water demand in the face of
water scarcity. In Bengaluru, the population growth from 5.4 million to 10
million has put tremendous pressure on the city’s water distribution. This has
been the driving factor behind BWSSB’s move to partner with IBM for an
operational dashboard to monitor, administer and manage its water distribution
networks.

Despite
this, the development of smart city projects has been progressing at a slow
rate and large scale roll-out of smart water meters is not expected until the
2020’s.1
In India, pilot projects for smart electric grids have been initiated in many
cities but so far none have looked into smart water metering.

In
Bangalore where there is an acute water shortage, many apartment complexes are
turning to smart water meters to reduce their dependency on tanker suppled
water which has seen prices soar in the past few years.

1.1.6 International Experiences of Smart Meter Roll outs

Case
study of Smart meter Roll-outs – As the deployment of smart water meters have
been few, the case study of smart meter roll-outs will also include the
deployment of smart electric meters which have been more widely adopted than
smart water meters.

Sweden
– Sweden was one of the first countries to have a large scale roll-out of smart
electric meters. In 2003, Swedish legislation required that accurate monthly
invoices based on actual meter reading be generated for all consumers. This
legislation sought to address the prevalent dissatisfaction among residential consumers
regarding inaccurate invoices, data inaccuracies in switching and long
settlement periods which meant that consumers received long invoices which made
it difficult for them to pay. A survey found that the three energy suppliers
were more unpopular than the tax office and customs.  

Legislation sought to address customer dissatisfaction without
specifically mentioning smart meter roll-out. As a result the unbundled network
companies involved in the roll-out focused only on complying with the
legislation and not on the capabilities of the smart meters for demand –
response, dynamic pricing, frequent feedback to consumers

As a result the meters deployed are not capable of supporting energy
efficiency programs and do not capture the data required for effective pricing
and feedback.

After the meter deployment, the consumer has two options of getting
monthly or hourly readings without any extra charge. Although the
implementation has increased awareness of electricity consumption, it has not
had the impact desired as consumers do not know which appliance consumes the
most electricity and what they can do to reduce consumption.  The positive aspect of implementation was
that consumers became aware of exactly what they were paying and to whom (Dromacque, Xu, & Baynes, 2013).

Australia – In the face of rising demand for electricity, the Victorian Department
of Environment and Primary Industries decided in 2007 to have a large scale
roll-out of smart meters with Time of use Pricing to shave peak demand. However
the roll-out would not be accompanied by in-home display units. Following the
decision, customers complained of inflated electricity bills without a means to
track and manage their consumption which was the very purpose of the roll-out.

1.1.7       
Why is end user acceptance important?

•     
One of the critical success factors in any IT
implementation is user acceptance of information technology systems. Such
projects involve expensive infrastructure that is paid for, whether directly or
indirectly, by consumers, and hence it is important to achieve consumer
confidence. There have been multiple instances of major consumer pushback
against smart meters, for example in Victoria, California and Ontario. This has
resulted in project-sponsors battling to convince consumers of the potential
benefits and this may continue for years.

•     
A technology will not be welcomed by the end user if
it is not useful for them, even if it could contribute to solving major issues
like lowering carbon emissions and climate change (Yesudas & Clarke, 2015). Although end users are central players in
these systems, they are sometimes not central considerations in technology or
program design, and in some cases, their motivations for participating in such
systems are not fully appreciated. Behavioral science can be instrumental in
engaging end-users and maximizing the impact of smart technologies Sintov et.
al (2015)

•     
In this context, the voluntary adoption of smart water
meters in Bangalore becomes highly crucial as it throws light on the factors
that influence the adoption of smart metering which can hold valuable
lessons for the future implementation of smart meters in the city.

1.2.         
Problem Statement

 Smart Metering in
India: A study assessing the factors affecting technology adoption of smart
metering by stakeholders and the challenges associated with implementation.

Context of Bangalore CityReferences Blom, A.,
Cox, P., & Raczka, K. (2010). Developing a Policy Position on Smart Water
Metering, (1).Dromacque,
C., Xu, S., & Baynes, S. (2013). Case study on innovative smart billing for
household consumers.Martyusheva,
O. (2014). Smart Water Grid, 1–80.Public
Utilities Board Singapore. (2016). Managing the water distribution network
with a Smart Water Grid (Vol. 1). https://doi.org/10.1186/s40713-016-0004-4Sumpena,
A. (2016). What is Smart City?

Yesudas,
R., & Clarke, R. (2015). Measures to Improve Public Acceptance of Smart
Metering System, (August).

1 https://www.metering.com/features/smart-water-india-utilities-strive-to-curb-non-revenues/

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