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SHARED ECONOMY IN ENERGY EFFICIENCY MARKETS
ABSTRACT
Energy markets are transitioning fast; Energy
Efficiency/Productivity is set to play much bigger role
in the transitioning process. With advent of IoT, Big
Data and Cloud technologies there is so much data that
is being generated across the entire value chain.
According to Gartner, 25 billion connected “things”
will be connected to the Internet by 2020. Such
quantity of data when utilised has the potential to
completely disrupt the markets and Energy Efficiency
markets are no different.
Energy Efficiency markets have had a few legacy
problems like authentic Measurement & Verification,
Dynamic Benchmarking (even static for that matter),
redundancy in business model in the services business
to name a few, all these problems have not let Energy
Efficiency scale to it’s potential.
Different think tanks, development agencies and
governments have sponsored/funded numerous
studies on barriers to scaling Energy Efficiency and
potential ways to overcome those barriers. All reports
and studies have been done in silos, the kind of data
that has been collected over the areas has not been
utilised adequately and is not digitally available.
Few years back it would not have been possible to
even think of aggregating such high quality and
quantity of data but today it’s pretty much feasible.
Hence it gives an immense opportunity to overcome
“data gaps” which have long been a problem area for
energy efficiency markets.
Opening-up data assets/insights, establishing central
repositories (at local, national and international levels)
and digitising such data assets can help create better
economic and social value out of data assets,
information and insights that can be generated
collectively could foster business model innovation,
develop tools/applications to simplify energy
efficiency, rationalise the cost of energy audits,
encourage new age Entrepreneurs to leverage
technology and Big Data to solve complex problems.
We have seen the impact of Shared/on demand
economy in sectors like transportation, hospitality and
media. It’s time that Energy Efficiency markets take a
clue; open to create more value for every stakeholder.
INTRODUCTION
What is Shared Economy? An economic model where
technologies & Services enable people to get what
they need from each other rather than from centralized
institutions. Peer to Peer transaction of goods and
services facilitated by third party Platform. It defines
the mind-set of ‘accessibility over ownership’. There
is another term that has been popular for quite some
time ‘On Demand Economy” in which user can access
to products and services by a simple request to a
service provider in return of money. There is a thin
line between above two concepts, one is more
collaborative while other has control on the
transaction and venders. In recent years, technology
start-ups have created a new kind of business model,
in which owners sometimes use their assets for
personal consumption and sometimes rent them out.
Companies unbundle existing assets and enable value
exchange out of those assets, with close to minimum
capital cost. For example companies like Uber, Airbnb
does not actually own the cars and houses but they
play the intermediary role between property owners
and the end consumers which not only optimize the
asset utilization but also create economic and social
benefits to the society.
Similar business model has been tested in Power
sector, though the application is limited to sustainable
energy generation and consumption within the
community. Shared economy is making its way in
Power sector too. Companies like mosaic,
vandebron[1]
are connecting people with a surplus of
energy to the people who are interested in buying
sustainable energy directly from the source.
In India Net metering has enabled rooftop owner to
generate electricity from solar panels and sell it to the
grid, may be in near future owner could sell the energy
to neighbours eliminating the middle man (Electric
Utility). According to the report presented by Rocky
mountain Institute (RMI) ‘Energy efficiency, demand
response, distributed generation such as rooftop solar,
distributed storage such as batteries, smart
thermostats, and more are poised to become the front
lines of a sharing economy revolution for the grid’[2]
In this paper we are going to shed some light on how
we have explored, analysed and demonstrated
concepts on shared economy (in respect to Data) in
Energy Efficiency market which is mostly fuelled by
governments’ programs and development agencies.
In self-economic model Information, assets belong to
the individual entity and the consumption is limited to
their own requirements. Individual entity can use the
assets in whatever ways they want & whenever they
wants. On the other hand in shared economic model
Goods and Services belong to the individuals however
the consumption of those can be open to others in
return of monitory, social and environmental benefits.
For example owning a vehicle for personal use vs.
booking an Uber when required. It’s an Ideal
environment where various collaborators come
together and share uniform platform. One of the
biggest benefits of sharing economy is that it enables
the use of under-utilized inventory via fee-based
sharing model.
To be able to address the issues mentioned above and
to generate more socio-economic value out of data
assets EnergyTech Ventures has created a framework
for Data Hubs/ Central Energy Efficiency Data
Repository.
What is CEEDR?
The Concept
CEEDR is a repository that houses data for an energy
efficiency programme based on sectorial Energy
Performance Indicators and Critical Success Factors
over the programme’s life cycle.
Some of the features of CEEDR are:-
 CEEDR acts as a Central Data Base that digitally
stores all the relevant data and indicators across
the life cycle of the programme.
 Option of exporting and importing data to and
from other systems/ data repositories either
through standardised protocols.
 Flexibility to deploy processing
engine/algorithms on top of the central data base.
 Sector/User specific insights as service for
Energy Auditors, Banks & FIs, Government
Bodies, Business Associations, MSME Units etc.
 Flexibility to allow deployment of micro services
around the central data base, such as performance
assessment tools for Boilers, Compressors,
Pumps etc.
 Essentially runs on a sustainable business model
where the value creation for all stakeholders pays
for continuous maintenance and update of the
entire framework.
EXPERIMENT/ DEMONSTRATION
Under a SME focused programme energy
performance assessment studies including M&V for
implemented projects was done covering 600+ Units
from over a dozen sectors.
The study over a period of its cycle had generated over
2000 reports with potentially valuable data both in
terms of qualitative and quantitative insights.
Challenge was to find a way in which such quantum
of data (insight) could dynamically grow as more unit
gets covered under the programme and also to ensure
that at all points of time access to insights could be
provided to more number of units/ stakeholders.
EnergyTech Ventures was tasked with the assignment
of creating the CEEDR with following key aspects: -
1. Digitization:
Data was available as part of documents either in
Word, Excel and PDF formats. For it be analysed
automatically and also create insights, we have
digitised the data and converted into form that
could be read by a programme.
2. Digitalization:
Having digitised the data we have deployed
processing engine on top of the data base,
processing engine has combination of
business/sector specific logic and intelligent
algorithms that generate reports, benchmarks and
insights on the go.
Table.1 impact of CEEDR application for different
stakeholders
User Category W/O CEEDR With CEEDR
SME
(Foundry)
Audit facility
accessible to
around 100
units
Do it yourself
tools available
for use by
~6000 units
Banks & FI Lack of
standardisation
on assessment
of EE project
funding
viability.
EE project
viability
assessment
with past
verified data
and
performance
assessment
Energy
Auditors
Lack of
availability of
Sector Specific
EnPIs
On demand
updated EnPIs
available,
option to filter
based on
factors like
Capacity,
Technology,
and Product
mix.
User Category W/O CEEDR With CEEDR
Data Owner No utilisation
of the data.
Reduction in
programme
transaction
costs with
automation in
reporting.
Generating
revenue by
providing
benchmarking
as a service to
different
stakeholders.
Micro Service
Providers
NA Can access the
data sets,
develop
algorithms,
tools that can
further be
integrated with
the CEEDR.
Image.1 Interaction of CEEDR with different stakeholders
If such is the impact for one sector imagine the impact
it has for all the sectors combined.
DISCUSSION & RESULT ANALYSIS
Concept of centralizing data related with energy
efficiency projects is gaining momentum in developed
countries. However the definitions and the depth of
data repository varies project by project. In Europe the
Executive Agency for SMEs has developed an
interactive tool that generates information on EU
funding programmes. In this application user can
browse various projects by topics, financing model,
development agencies, country, project type, and
budget range. In United States, Department of Energy
has come up with similar platform for Build energy
consumption data. It is called the Standard Energy
Efficiency Data Platform (SEED Platform) which
provides public agencies and other organizations with
a standardized but flexible, cost-effective, secure,
enterprise data platform to manage portfolio scale
building performance data from a variety of sources.
Empowering Stakeholders
One of the most important and innovative change that
CEEDR will bring in is the Interconnectedness
between the various stakeholders. Every stakeholder
has a different interest in the energy efficiency
program so does the challenges they face are different
for example financial institutes would like to carried
out a risk assessment exercises before investing and
tracking RoI of the project. For auditors, knowing
where the potential saving lies is the most important
aspect. CEEDR enables them to look for area
opportunity. It will also help them to monitor
performance of the EE projects via automated M&V.
Mr Satish Kumar has written a blog on ‘top Five
reasons why ESCOs have failed’ in which he has
highlighted issues like techno commercial ROI
calculations/ validation and risk assessment for the
Financial Institutions.3
MSMEs and large scale
industries are investing heavily on Data acquisition
systems whether it is collecting process parameters or
energy, it is necessary for them to utilize that data to
improve operational performance of the plant and test
it against sectorial benchmarks. CEEDR will help
them to know the sectorial benchmarks. For
Governments and policy makers, realistic Energy
Reduction target setting and GAP analysis is the
important task while designing an EE policy such as
PAT. CEEDR provides that by showing sectorial
energy saving potentials, and help them to do the GAP
assessment of the policy and its effects on the sector
that can drive sustainable energy efficiency
improvements.
Ecosystem Enabler
By opening energy performance data to the different
stakeholders will not just foster EE ecosystem but also
it will attract entrepreneurs and developers to create
Apps, platform & business models which serves
specific purpose in the system. Imagine a future where
there will be tools for boilers, transformers, Motors
which will communicate with each other’s, Predict
and analyse fault and report to the operator. Loan
Application for EE projects can get sanction in single
click as bank will be having past data of the
Technology success rate. A lot of possibility can be
unlocked if the we can work to open up data and co-
create opportunities.
CONCLUSION
Impact & Future Scope
Our work to Digitizing and Opening up the Energy
data to masses through developing Centralized Energy
Efficiency Data Repository (CEEDR) is among the
first to show how to optimize and extract insights from
existing Audit/Survey Reports. It also address some of
the key challenges EE markets has been facing for Ex.
Dynamic Benchmarking to understand how the
sectors are progressing/Performing to reduce energy
Intensity and where existing policies stands to create
long lasting impact on MSMEs, It creates opportunity
of Business model innovation for the Energy Service
Companies, where they can leverage available sector
specific information to Identify next assignment.
Based on our experience developing similar
framework for other development banks we can
confidently state that this will bring the concepts of
shared economy in the Energy efficiency space where
all the stakeholders will be benefited by sharing a
common platform without owning any assets.
NOMENCLATURE
M&V = Measurement & Verification
RMI = Rocky mountain Institute
CEEDR = Central Energy Efficiency Data
Repository
SEED = Standard Energy Efficiency Data
Platform
MSME = Micro, Small and Medium Enterprises
PAT = Perform Achieve & Trade
ESCOs = Energy Service Companies
EE = Energy Efficiency
EU = European Union
REFERENCES
[1] Blog on shared economy by Minnesota Energy
Smart. www.Mnenergysmart.com/rise-sharing-
economy/
[2] Article on “An Airbnb or Uber for the Electricity
Grid?” www.rmi.org/news/airbnb-uber-electricity-
grid/
[3] Blog by Satish Kumar on http://blog.schneider-
electric.com

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Shared Economy & Open Data in #EnergyEfficiency Markets

  • 1. SHARED ECONOMY IN ENERGY EFFICIENCY MARKETS ABSTRACT Energy markets are transitioning fast; Energy Efficiency/Productivity is set to play much bigger role in the transitioning process. With advent of IoT, Big Data and Cloud technologies there is so much data that is being generated across the entire value chain. According to Gartner, 25 billion connected “things” will be connected to the Internet by 2020. Such quantity of data when utilised has the potential to completely disrupt the markets and Energy Efficiency markets are no different. Energy Efficiency markets have had a few legacy problems like authentic Measurement & Verification, Dynamic Benchmarking (even static for that matter), redundancy in business model in the services business to name a few, all these problems have not let Energy Efficiency scale to it’s potential. Different think tanks, development agencies and governments have sponsored/funded numerous studies on barriers to scaling Energy Efficiency and potential ways to overcome those barriers. All reports and studies have been done in silos, the kind of data that has been collected over the areas has not been utilised adequately and is not digitally available. Few years back it would not have been possible to even think of aggregating such high quality and quantity of data but today it’s pretty much feasible. Hence it gives an immense opportunity to overcome “data gaps” which have long been a problem area for energy efficiency markets. Opening-up data assets/insights, establishing central repositories (at local, national and international levels) and digitising such data assets can help create better economic and social value out of data assets, information and insights that can be generated collectively could foster business model innovation, develop tools/applications to simplify energy efficiency, rationalise the cost of energy audits, encourage new age Entrepreneurs to leverage technology and Big Data to solve complex problems. We have seen the impact of Shared/on demand economy in sectors like transportation, hospitality and media. It’s time that Energy Efficiency markets take a clue; open to create more value for every stakeholder. INTRODUCTION What is Shared Economy? An economic model where technologies & Services enable people to get what they need from each other rather than from centralized institutions. Peer to Peer transaction of goods and services facilitated by third party Platform. It defines the mind-set of ‘accessibility over ownership’. There is another term that has been popular for quite some time ‘On Demand Economy” in which user can access to products and services by a simple request to a service provider in return of money. There is a thin line between above two concepts, one is more collaborative while other has control on the transaction and venders. In recent years, technology start-ups have created a new kind of business model, in which owners sometimes use their assets for personal consumption and sometimes rent them out. Companies unbundle existing assets and enable value exchange out of those assets, with close to minimum capital cost. For example companies like Uber, Airbnb does not actually own the cars and houses but they play the intermediary role between property owners and the end consumers which not only optimize the asset utilization but also create economic and social benefits to the society. Similar business model has been tested in Power sector, though the application is limited to sustainable energy generation and consumption within the community. Shared economy is making its way in Power sector too. Companies like mosaic, vandebron[1] are connecting people with a surplus of energy to the people who are interested in buying sustainable energy directly from the source. In India Net metering has enabled rooftop owner to generate electricity from solar panels and sell it to the grid, may be in near future owner could sell the energy to neighbours eliminating the middle man (Electric Utility). According to the report presented by Rocky mountain Institute (RMI) ‘Energy efficiency, demand response, distributed generation such as rooftop solar, distributed storage such as batteries, smart
  • 2. thermostats, and more are poised to become the front lines of a sharing economy revolution for the grid’[2] In this paper we are going to shed some light on how we have explored, analysed and demonstrated concepts on shared economy (in respect to Data) in Energy Efficiency market which is mostly fuelled by governments’ programs and development agencies. In self-economic model Information, assets belong to the individual entity and the consumption is limited to their own requirements. Individual entity can use the assets in whatever ways they want & whenever they wants. On the other hand in shared economic model Goods and Services belong to the individuals however the consumption of those can be open to others in return of monitory, social and environmental benefits. For example owning a vehicle for personal use vs. booking an Uber when required. It’s an Ideal environment where various collaborators come together and share uniform platform. One of the biggest benefits of sharing economy is that it enables the use of under-utilized inventory via fee-based sharing model. To be able to address the issues mentioned above and to generate more socio-economic value out of data assets EnergyTech Ventures has created a framework for Data Hubs/ Central Energy Efficiency Data Repository. What is CEEDR? The Concept CEEDR is a repository that houses data for an energy efficiency programme based on sectorial Energy Performance Indicators and Critical Success Factors over the programme’s life cycle. Some of the features of CEEDR are:-  CEEDR acts as a Central Data Base that digitally stores all the relevant data and indicators across the life cycle of the programme.  Option of exporting and importing data to and from other systems/ data repositories either through standardised protocols.  Flexibility to deploy processing engine/algorithms on top of the central data base.  Sector/User specific insights as service for Energy Auditors, Banks & FIs, Government Bodies, Business Associations, MSME Units etc.  Flexibility to allow deployment of micro services around the central data base, such as performance assessment tools for Boilers, Compressors, Pumps etc.  Essentially runs on a sustainable business model where the value creation for all stakeholders pays for continuous maintenance and update of the entire framework. EXPERIMENT/ DEMONSTRATION Under a SME focused programme energy performance assessment studies including M&V for implemented projects was done covering 600+ Units from over a dozen sectors. The study over a period of its cycle had generated over 2000 reports with potentially valuable data both in terms of qualitative and quantitative insights. Challenge was to find a way in which such quantum of data (insight) could dynamically grow as more unit gets covered under the programme and also to ensure that at all points of time access to insights could be provided to more number of units/ stakeholders. EnergyTech Ventures was tasked with the assignment of creating the CEEDR with following key aspects: - 1. Digitization: Data was available as part of documents either in Word, Excel and PDF formats. For it be analysed automatically and also create insights, we have digitised the data and converted into form that could be read by a programme. 2. Digitalization: Having digitised the data we have deployed processing engine on top of the data base, processing engine has combination of business/sector specific logic and intelligent algorithms that generate reports, benchmarks and insights on the go.
  • 3. Table.1 impact of CEEDR application for different stakeholders User Category W/O CEEDR With CEEDR SME (Foundry) Audit facility accessible to around 100 units Do it yourself tools available for use by ~6000 units Banks & FI Lack of standardisation on assessment of EE project funding viability. EE project viability assessment with past verified data and performance assessment Energy Auditors Lack of availability of Sector Specific EnPIs On demand updated EnPIs available, option to filter based on factors like Capacity, Technology, and Product mix. User Category W/O CEEDR With CEEDR Data Owner No utilisation of the data. Reduction in programme transaction costs with automation in reporting. Generating revenue by providing benchmarking as a service to different stakeholders. Micro Service Providers NA Can access the data sets, develop algorithms, tools that can further be integrated with the CEEDR. Image.1 Interaction of CEEDR with different stakeholders
  • 4. If such is the impact for one sector imagine the impact it has for all the sectors combined. DISCUSSION & RESULT ANALYSIS Concept of centralizing data related with energy efficiency projects is gaining momentum in developed countries. However the definitions and the depth of data repository varies project by project. In Europe the Executive Agency for SMEs has developed an interactive tool that generates information on EU funding programmes. In this application user can browse various projects by topics, financing model, development agencies, country, project type, and budget range. In United States, Department of Energy has come up with similar platform for Build energy consumption data. It is called the Standard Energy Efficiency Data Platform (SEED Platform) which provides public agencies and other organizations with a standardized but flexible, cost-effective, secure, enterprise data platform to manage portfolio scale building performance data from a variety of sources. Empowering Stakeholders One of the most important and innovative change that CEEDR will bring in is the Interconnectedness between the various stakeholders. Every stakeholder has a different interest in the energy efficiency program so does the challenges they face are different for example financial institutes would like to carried out a risk assessment exercises before investing and tracking RoI of the project. For auditors, knowing where the potential saving lies is the most important aspect. CEEDR enables them to look for area opportunity. It will also help them to monitor performance of the EE projects via automated M&V. Mr Satish Kumar has written a blog on ‘top Five reasons why ESCOs have failed’ in which he has highlighted issues like techno commercial ROI calculations/ validation and risk assessment for the Financial Institutions.3 MSMEs and large scale industries are investing heavily on Data acquisition systems whether it is collecting process parameters or energy, it is necessary for them to utilize that data to improve operational performance of the plant and test it against sectorial benchmarks. CEEDR will help them to know the sectorial benchmarks. For Governments and policy makers, realistic Energy Reduction target setting and GAP analysis is the important task while designing an EE policy such as PAT. CEEDR provides that by showing sectorial energy saving potentials, and help them to do the GAP assessment of the policy and its effects on the sector that can drive sustainable energy efficiency improvements. Ecosystem Enabler By opening energy performance data to the different stakeholders will not just foster EE ecosystem but also it will attract entrepreneurs and developers to create Apps, platform & business models which serves specific purpose in the system. Imagine a future where there will be tools for boilers, transformers, Motors which will communicate with each other’s, Predict and analyse fault and report to the operator. Loan Application for EE projects can get sanction in single click as bank will be having past data of the Technology success rate. A lot of possibility can be unlocked if the we can work to open up data and co- create opportunities. CONCLUSION Impact & Future Scope Our work to Digitizing and Opening up the Energy data to masses through developing Centralized Energy Efficiency Data Repository (CEEDR) is among the first to show how to optimize and extract insights from existing Audit/Survey Reports. It also address some of the key challenges EE markets has been facing for Ex. Dynamic Benchmarking to understand how the sectors are progressing/Performing to reduce energy Intensity and where existing policies stands to create long lasting impact on MSMEs, It creates opportunity of Business model innovation for the Energy Service Companies, where they can leverage available sector specific information to Identify next assignment. Based on our experience developing similar framework for other development banks we can confidently state that this will bring the concepts of shared economy in the Energy efficiency space where all the stakeholders will be benefited by sharing a common platform without owning any assets. NOMENCLATURE M&V = Measurement & Verification RMI = Rocky mountain Institute CEEDR = Central Energy Efficiency Data Repository SEED = Standard Energy Efficiency Data Platform MSME = Micro, Small and Medium Enterprises PAT = Perform Achieve & Trade ESCOs = Energy Service Companies EE = Energy Efficiency EU = European Union
  • 5. REFERENCES [1] Blog on shared economy by Minnesota Energy Smart. www.Mnenergysmart.com/rise-sharing- economy/ [2] Article on “An Airbnb or Uber for the Electricity Grid?” www.rmi.org/news/airbnb-uber-electricity- grid/ [3] Blog by Satish Kumar on http://blog.schneider- electric.com