Transactive Energy article in Metering International magazine Fall 2013. Provides practical explanation of transactive energy in an evolutionary context.
21st C.Electric Distribution System Operations, 2014Paul De Martini
L. Kristov & P. De Martini paper that defines Distribution System Operator and provides a framework to considering a range of business and policy issues.
Our article that is published in Metering International issue 3, september 2011. The article is about smart meters and new business model in the utilities sector.
Supply chain is defined as a system of suppliers, manufacturers, distributors, retailers and customers where material, financial and information flows connect participants in both directions. Most supply chains are composed of independent agents with individual preferences. It is expected that no single agent has the power to optimise the supply chain. Supply chain management is now seen as a governing element in strategy and as an effective way of creating value for customers. The so-called bullwhip effect, describing growing variation upstream in a supply chain, is probably the most famous demonstration that decentralised
decision making can lead to poor supply chain performance. Information asymmetry is one of the most powerful sources of the bullwhipef fect. Information sharing of customer demand has an impact on the bullwhipef fect. Information technology has lead to centralised information, shorter lead times and smaller batch sizes. The analysis of causes of the bullwhipef fect has lead to suggestions for reducing the bullwhip effect in supply chains by strategic partnership. Supply chain partnership leads to increased information flows, reduced uncertainty, and a more profitable supply chain. The cooperation is based on
contacts and formal agreements. Information exchange is very important issue for coordinating actions of units. New business practices and information technology make the coordination even closer. Information sharing and strategic partnerships of units can be modelled by different network structures.
Transactive Energy article in Metering International magazine Fall 2013. Provides practical explanation of transactive energy in an evolutionary context.
21st C.Electric Distribution System Operations, 2014Paul De Martini
L. Kristov & P. De Martini paper that defines Distribution System Operator and provides a framework to considering a range of business and policy issues.
Our article that is published in Metering International issue 3, september 2011. The article is about smart meters and new business model in the utilities sector.
Supply chain is defined as a system of suppliers, manufacturers, distributors, retailers and customers where material, financial and information flows connect participants in both directions. Most supply chains are composed of independent agents with individual preferences. It is expected that no single agent has the power to optimise the supply chain. Supply chain management is now seen as a governing element in strategy and as an effective way of creating value for customers. The so-called bullwhip effect, describing growing variation upstream in a supply chain, is probably the most famous demonstration that decentralised
decision making can lead to poor supply chain performance. Information asymmetry is one of the most powerful sources of the bullwhipef fect. Information sharing of customer demand has an impact on the bullwhipef fect. Information technology has lead to centralised information, shorter lead times and smaller batch sizes. The analysis of causes of the bullwhipef fect has lead to suggestions for reducing the bullwhip effect in supply chains by strategic partnership. Supply chain partnership leads to increased information flows, reduced uncertainty, and a more profitable supply chain. The cooperation is based on
contacts and formal agreements. Information exchange is very important issue for coordinating actions of units. New business practices and information technology make the coordination even closer. Information sharing and strategic partnerships of units can be modelled by different network structures.
The utility landscape is dynamic. Some pundits claim that traditional utility regulation is becoming obsolete. Others are calling for a complete overhaul of utility ratemaking as we know it; distributed energy resources, technology advancements and societal trends are changing the way utilities function. In such turbulent times, how can utilities manage their financials through rate structures? How can utilities bridge the span between the rate and regulatory frameworks of yesterday and tomorrow? One way to do so is to revisit the design of rate offerings available to all utility customers and to residential customers in particular.
A guide to system data for use in a more distributed system and a roadmap for using system data to plan and operate an integrated distribution system with DER
Richard Cowart - Delivering Energy Efficiency on a Large Scale: Challenges an...noe21
http://www.managing-energy-demand.org
This seminar held on november 4 ‘09 in Bern, Switzerland, hosted international specialists in managing energy demand, mainly electric energy. Presentations concentrated on best cases in demand side management and regulation easing the way for DSM programs. The event was organised by noe21, a Geneva based NGO.
Advanced techno-economic modelling of distribution network investment require...Power System Operation
In an increasingly dynamic and changing electricity sector
with rising distributed energy resources, new network investment models are needed that enable consideration
of flexibility, uncertainty and risk. Existing modelling frameworks include “top down” models that offer a comparison of investment and investment strategies between
scenarios and “bottom up” models that consider detailed
technical impacts on real networks. These frameworks are broadly appropriate for analysing investment, with
the requirements of the business, stakeholders and
regulator influencing the specific model design and
implementation. There are a number of dimensions across network engineering, investment, customers and energy markets to be captured and represented in the modelling
at some level. This paper presents a number of advanced modelling techniques which can be applied to both topdown
and bottom up modelling frameworks, enabling
better consideration of customer variability, network risk and optioneering of solutions.
Drawing on Bayesian statistics, customer load has been represented using a sophisticated statistical model that
reflects both variability and uncertainty in demand on LV networks. This can help to explicitly quantify network risk due to existing loads, new loads and customer flexibility. A network ‘emulator’ model provides significantly faster run-
times for analysis of large solution sets by parameterising the variables of a power flow model against the inputs.
This has been applied and tested with LV, HV and EHV networks with results closely matching equivalent power
flow models. Implemented in combination with the
Bayesian customer load model enables probabilistic,
risk- based modelling. A constrained cost optimisation algorithm has also been developed to find the lowest cost
Presentation to the annual UCLA Smart Grid research collaborative discussing the operational considerations of an increasing hybrid electric system involving millions of customers participating.
The Digitally Enabled Grid: What is the future of the utility distribution business? Mapping out a new role for electricity distribution in an era of disruption.
The utility landscape is dynamic. Some pundits claim that traditional utility regulation is becoming obsolete. Others are calling for a complete overhaul of utility ratemaking as we know it; distributed energy resources, technology advancements and societal trends are changing the way utilities function. In such turbulent times, how can utilities manage their financials through rate structures? How can utilities bridge the span between the rate and regulatory frameworks of yesterday and tomorrow? One way to do so is to revisit the design of rate offerings available to all utility customers and to residential customers in particular.
A guide to system data for use in a more distributed system and a roadmap for using system data to plan and operate an integrated distribution system with DER
Richard Cowart - Delivering Energy Efficiency on a Large Scale: Challenges an...noe21
http://www.managing-energy-demand.org
This seminar held on november 4 ‘09 in Bern, Switzerland, hosted international specialists in managing energy demand, mainly electric energy. Presentations concentrated on best cases in demand side management and regulation easing the way for DSM programs. The event was organised by noe21, a Geneva based NGO.
Advanced techno-economic modelling of distribution network investment require...Power System Operation
In an increasingly dynamic and changing electricity sector
with rising distributed energy resources, new network investment models are needed that enable consideration
of flexibility, uncertainty and risk. Existing modelling frameworks include “top down” models that offer a comparison of investment and investment strategies between
scenarios and “bottom up” models that consider detailed
technical impacts on real networks. These frameworks are broadly appropriate for analysing investment, with
the requirements of the business, stakeholders and
regulator influencing the specific model design and
implementation. There are a number of dimensions across network engineering, investment, customers and energy markets to be captured and represented in the modelling
at some level. This paper presents a number of advanced modelling techniques which can be applied to both topdown
and bottom up modelling frameworks, enabling
better consideration of customer variability, network risk and optioneering of solutions.
Drawing on Bayesian statistics, customer load has been represented using a sophisticated statistical model that
reflects both variability and uncertainty in demand on LV networks. This can help to explicitly quantify network risk due to existing loads, new loads and customer flexibility. A network ‘emulator’ model provides significantly faster run-
times for analysis of large solution sets by parameterising the variables of a power flow model against the inputs.
This has been applied and tested with LV, HV and EHV networks with results closely matching equivalent power
flow models. Implemented in combination with the
Bayesian customer load model enables probabilistic,
risk- based modelling. A constrained cost optimisation algorithm has also been developed to find the lowest cost
Presentation to the annual UCLA Smart Grid research collaborative discussing the operational considerations of an increasing hybrid electric system involving millions of customers participating.
The Digitally Enabled Grid: What is the future of the utility distribution business? Mapping out a new role for electricity distribution in an era of disruption.
Distributed energy resources (DERs) can provide net benefits to the electric system (e.g., congestion relief) and broader society (e.g., emission reductions). However, despite these advantages, the deployment of high penetrations of DER has proved challenging. Against this backdrop, the electric utility is often singled out as a fundamental barrier to deployment of DER assets. To overcome the perceived electric utility shortcomings, many stakeholders conclude that a completely new model is needed for the electric industry.
ScottMadden disagrees with this assessment and instead believes electric utilities maintain natural advantages that can be leveraged to deploy renewables and DER assets as well or better than some models being offered. In our 51st Phase II Roadmap, ScottMadden proposes leveraging the natural advantages of the electric utility in order to accelerate the deployment and penetration of DER assets.
Distributed energy resources (DERs) can provide net benefits to the electric system (e.g., congestion relief) and broader society (e.g., emission reductions). However, despite these advantages, the deployment of high penetrations of DER has proved challenging. Against this backdrop, the electric utility is often singled out as a fundamental barrier to deployment of DER assets. To overcome the perceived electric utility shortcomings, many stakeholders conclude that a completely new model is needed for the electric industry.
ScottMadden disagrees with this assessment and instead believes electric utilities maintain natural advantages that can be leveraged to deploy renewables and DER assets as well or better than some models being offered. In our 51st Phase II Roadmap, ScottMadden proposes leveraging the natural advantages of the electric utility in order to accelerate the deployment and penetration of DER assets.
For more information, please visit www.scottmadden.com.
"Next Gen Grid Tech Commercialization" for Duke University Energy Initiative ...Josh Gould
Guest lecture on "Next Gen Grid Tech Commercialization" for Duke University Energy Initiative graduate level course entitled: “Emerging Energy Technologies – From Lab to Market.” (790-01)
Case Study: Blockchain as the Foundation of Alectra's Grid Exchange Transacti...Jill Kirkpatrick
Alectra Utilities is leveraging blockchain technologies to develop GridExchange, a platform for transactive energy that allows its users to create new energy markets, as well as bidding into existing ones.
Behavior changes are set based on homeowner preferences for use of their distributed energy resources. The platform also creates statistics on customer energy usage and validates participation in these energy markets, confirming settlement when compensation for energy services has been paid.
As a result, users are empowered with greater choices, control and autonomy to buy, consume, and sell energy, and the utility improves reliability and forecasting by gaining visibility of energy usage patterns and changing behaviors.
Various demand side management techniques and its role in smart grid–the stat...IJECEIAES
The current lifestyle of humanity relies heavily on energy consumption, thusrendering it an inevitable need. An ever-increasing demand for energy hasresulted from the increasing population. Most of this demand is met by thetraditional sources that continuously deplete and raise significantenvironmental issues. The existing power structure of developing nations isaging, unstable, and unfeasible, further prolonging the problem. The existingelectricity grid is unstable, vulnerable to blackouts and disruption, has hightransmission losses, low quality of power, insufficient electricity supply, anddiscourages distributed energy sources from being incorporated. Mitigatingthese problems requires a complete redesign of the system of powerdistribution. The modernization of the electric grid, i.e., the smart grid, is anemerging combination of different technologies designed to bring about theelectrical power grid that is changing dramatically. Demand sidemanagement (DSM) allow customers to be more involved in contributors tothe power systems to achieve system goals by scheduling their shiftableload. Effective DSM systems require the participation of customers in thesystem that can be done in a fair system. This paper focuses primarily ontechniques of DSM and demand responses (DR), including schedulingapproaches and strategies for optimal savings.
NEW BUSINESS MODELS & DIGITALIZATION IN THE ENERGY SECTORArjun Reghu
This paper investigates the key technologies that underpin the digitisation of energy and examines their potential impacts.
Understand the effects new technologies will have on the current energy system,
The new challenges they will pose, and the policies and regulatory measures which will assist in making them a success.
Illustrative slides on the 3 Stage Evolution model and the application of Walk, Jog, Run step-wise approach to transition between stages through sequential enhancements in functionality and technology investments.
DOE white paper discussing the elements of integrated distribution planning and considerations for Minnesota based on the experience of other states incl, CA and NY.
Paper explores two bookend visions of market-control structures that form Transactive Energy architectures. This expands on the LBNL paper by De Martini & Kristov in collaboration with J. Taft.
Report assessing the structural evolution of Distribution System Operator model spanning distribution planning, operations and integration of DER provided value. Report critically discusses the business and policy decision considerations in relation to DER adoption.
Evolving Distribution Grid article in Electric Perspectives magazine Jan-Feb 2015 edition. Article discusses emerging business opportunities for a utility Distribution Services Provider.
PNNL-Caltech conceptual paper on network effects and convergence for electric grids. Paper presents introductory information and organizing frameworks on the development of electric networks and the opportunity to achieve synergies from multi-network convergence.
Presentation at 2014 Fall CCIF workshop focused on the evolution and value of information in the new energy economy as relates to electric industry business opportunities.
California's More Than Smart summary discussion materials regarding a new distribution planning process for the integration and value for distributed energy resources. Slides represent discussions between June 2014 thru March 2015.
Turin Startup Ecosystem 2024 - Ricerca sulle Startup e il Sistema dell'Innov...Quotidiano Piemontese
Turin Startup Ecosystem 2024
Una ricerca de il Club degli Investitori, in collaborazione con ToTeM Torino Tech Map e con il supporto della ESCP Business School e di Growth Capital
how to sell pi coins on Bitmart crypto exchangeDOT TECH
Yes. Pi network coins can be exchanged but not on bitmart exchange. Because pi network is still in the enclosed mainnet. The only way pioneers are able to trade pi coins is by reselling the pi coins to pi verified merchants.
A verified merchant is someone who buys pi network coins and resell it to exchanges looking forward to hold till mainnet launch.
I will leave the telegram contact of my personal pi merchant to trade with.
@Pi_vendor_247
how to sell pi coins in South Korea profitably.DOT TECH
Yes. You can sell your pi network coins in South Korea or any other country, by finding a verified pi merchant
What is a verified pi merchant?
Since pi network is not launched yet on any exchange, the only way you can sell pi coins is by selling to a verified pi merchant, and this is because pi network is not launched yet on any exchange and no pre-sale or ico offerings Is done on pi.
Since there is no pre-sale, the only way exchanges can get pi is by buying from miners. So a pi merchant facilitates these transactions by acting as a bridge for both transactions.
How can i find a pi vendor/merchant?
Well for those who haven't traded with a pi merchant or who don't already have one. I will leave the telegram id of my personal pi merchant who i trade pi with.
Tele gram: @Pi_vendor_247
#pi #sell #nigeria #pinetwork #picoins #sellpi #Nigerian #tradepi #pinetworkcoins #sellmypi
Yes of course, you can easily start mining pi network coin today and sell to legit pi vendors in the United States.
Here the telegram contact of my personal vendor.
@Pi_vendor_247
#pi network #pi coins #legit #passive income
#US
what is the future of Pi Network currency.DOT TECH
The future of the Pi cryptocurrency is uncertain, and its success will depend on several factors. Pi is a relatively new cryptocurrency that aims to be user-friendly and accessible to a wide audience. Here are a few key considerations for its future:
Message: @Pi_vendor_247 on telegram if u want to sell PI COINS.
1. Mainnet Launch: As of my last knowledge update in January 2022, Pi was still in the testnet phase. Its success will depend on a successful transition to a mainnet, where actual transactions can take place.
2. User Adoption: Pi's success will be closely tied to user adoption. The more users who join the network and actively participate, the stronger the ecosystem can become.
3. Utility and Use Cases: For a cryptocurrency to thrive, it must offer utility and practical use cases. The Pi team has talked about various applications, including peer-to-peer transactions, smart contracts, and more. The development and implementation of these features will be essential.
4. Regulatory Environment: The regulatory environment for cryptocurrencies is evolving globally. How Pi navigates and complies with regulations in various jurisdictions will significantly impact its future.
5. Technology Development: The Pi network must continue to develop and improve its technology, security, and scalability to compete with established cryptocurrencies.
6. Community Engagement: The Pi community plays a critical role in its future. Engaged users can help build trust and grow the network.
7. Monetization and Sustainability: The Pi team's monetization strategy, such as fees, partnerships, or other revenue sources, will affect its long-term sustainability.
It's essential to approach Pi or any new cryptocurrency with caution and conduct due diligence. Cryptocurrency investments involve risks, and potential rewards can be uncertain. The success and future of Pi will depend on the collective efforts of its team, community, and the broader cryptocurrency market dynamics. It's advisable to stay updated on Pi's development and follow any updates from the official Pi Network website or announcements from the team.
Currently pi network is not tradable on binance or any other exchange because we are still in the enclosed mainnet.
Right now the only way to sell pi coins is by trading with a verified merchant.
What is a pi merchant?
A pi merchant is someone verified by pi network team and allowed to barter pi coins for goods and services.
Since pi network is not doing any pre-sale The only way exchanges like binance/huobi or crypto whales can get pi is by buying from miners. And a merchant stands in between the exchanges and the miners.
I will leave the telegram contact of my personal pi merchant. I and my friends has traded more than 6000pi coins successfully
Tele-gram
@Pi_vendor_247
how to sell pi coins at high rate quickly.DOT TECH
Where can I sell my pi coins at a high rate.
Pi is not launched yet on any exchange. But one can easily sell his or her pi coins to investors who want to hold pi till mainnet launch.
This means crypto whales want to hold pi. And you can get a good rate for selling pi to them. I will leave the telegram contact of my personal pi vendor below.
A vendor is someone who buys from a miner and resell it to a holder or crypto whale.
Here is the telegram contact of my vendor:
@Pi_vendor_247
BYD SWOT Analysis and In-Depth Insights 2024.pptxmikemetalprod
Indepth analysis of the BYD 2024
BYD (Build Your Dreams) is a Chinese automaker and battery manufacturer that has snowballed over the past two decades to become a significant player in electric vehicles and global clean energy technology.
This SWOT analysis examines BYD's strengths, weaknesses, opportunities, and threats as it competes in the fast-changing automotive and energy storage industries.
Founded in 1995 and headquartered in Shenzhen, BYD started as a battery company before expanding into automobiles in the early 2000s.
Initially manufacturing gasoline-powered vehicles, BYD focused on plug-in hybrid and fully electric vehicles, leveraging its expertise in battery technology.
Today, BYD is the world’s largest electric vehicle manufacturer, delivering over 1.2 million electric cars globally. The company also produces electric buses, trucks, forklifts, and rail transit.
On the energy side, BYD is a major supplier of rechargeable batteries for cell phones, laptops, electric vehicles, and energy storage systems.
Customer-oriented Networks paper - CSIRO Australia
1. Customer-oriented Networks: A North American Perspective
Network Transformation Roadmap (NTR) Program
Commonwealth Scientific & Industrial Research Organisation (CSIRO)
Australia
Paul De Martini
ICF International
September 3, 2015
2. About the Author
Paul De Martini is a Senior Fellow at ICF International and a Visiting Scholar at the California Institute of
Technology. His advisory and research work focuses on customer-centric business models, integration of
distributed energy resources and grid modernization. Paul draws on his prior experience as Chief
Technology & Strategy Officer for Cisco’s Energy Networks business, Vice President of Advanced
Technology at Southern California Edison, and market development roles as an executive with leading
North American competitive energy services firms. He currently facilitates California’s More Than Smart
working group and is an advisor to the New York Reforming the Energy Vision, Market Design & Platform
Technology working group.
4. 1
Introduction
Changing customer needs are leading to the growth of distributed energy resources (DER)1, a
development which is transforming the utility industry worldwide. Utilities and policymakers in North
America and globally are focusing their strategies on creating 21st-century customer services and
electric distribution platforms that provide superior customer value. Network modernization and
customer operations investments create a foundation for the future, but are not sufficient.
An ideal strategy will position electric network service providers (NSP) to successfully navigate and
influence the evolving utility business model to transition from the historical load-serving paradigm to a
new customer-centric service-based paradigm, being mindful of three key goals:
1. Maintain the franchise (social license) via providing and enabling superior value options for
customers;
2. Sustain relevance in the 21st century economy; and as a result
3. Secure the utility as an investment vehicle.
The significant uncertainty about the future means that NSP strategy must provide optionality for the
utility to be in the best position to thrive under a wide spectrum of potential future business models.
However, several key aspects of a successful model are clear:
The preferred NSP model must create value for customers
The preferred NSP model must also achieve financial recovery of the use of the network
The preferred NSP model will utilize the utility’s competencies as a network owner and operator
Customer decisions regarding alternatives to manage energy costs and improve reliability, based on
policy incentives - or not, are creating substantial change in the use and related value of the distribution
network. The adoption patterns observed globally to-date, along with the related impacts to distribution
system operation, can help clarify the key interrelationships between customers and NSP business.
Figure 1 below illustrates a three-stage evolutionary framework for a customer-centric distribution
network as is developing in North America.
Figure 1: Customer-centric Network Evolution
1 Distributed resources includes demand response, energy efficiency, renewable and clean distributed generation, distributed
energy storage and electric vehicles. While back-up generation is not usually part of the DER definition, this paper also
considers customer adoption of back-up generation for reliability enhancement.
5. 2
This framework is based on the assumption that NSP services and infrastructure will evolve in response
to both bottom-up (customer choice) and top-down (public policy) drivers. The yellow line represents
customer DER adoption in a NSP service area and regulatory jurisdiction. Thus, each stage represents
the effects of both increasing customer adoption of DER and a set of public policies enabled by
technological innovation. Each level includes additional services and functionalities to support the
greater amounts of DER adoption and the level of system integration desired. Each level expands on the
capabilities developed in the earlier stage expanding the role of customer decisions into electric system
operations. The result is an increasingly customer-centric system.
Customer-centric NSP
Traditionally, electric network utilities largely viewed customers as predicable load under a monopoly
franchise model in which generation was seen as the profit center – not customers. This has evolved
over the past two decades through various global electric industry restructuring efforts and emergence
of commercially viable alternatives to customers’ use of utility services. Utility focus has shifted to more
clearly understand the interrelationships between their customers’ decisions and a) network planning
and operations, and b) utility financial performance in the context of revenues and regulatory
authorizations.
Structured vs. unstructured evolution2
Customer decisions regarding energy use, DER adoption and selection of adjacent services are a material
disruptive force on the operation of electric networks. To better understand the implications of the
three developmental stages just described, it is useful to distinguish between “structured” and
“unstructured” industry evolution. These are two very different models for how change can occur in a
large-scale complex system: a) gradual change guided by policy and regulation and adaptation on the
part of the existing system construct (“structured”), and b) dramatic change driven by customers and
external forces such as technology and business innovation that disrupts the existing structural elements
and their relationships and requires more systemic reorganization of the system (“unstructured”). In the
electricity industry context, these two models have different implications for customer engagement and
services; network operations, planning and markets; and for regulatory reforms needed.
Structured evolution occurs without significantly disrupting the existing industry structure, through
measured policy and regulatory changes that affect the pace of DER adoption to a considerable degree.
The growth of DER adoption in Stage 1 is largely structured evolution driven by policy. As a result, it is
more a process of adaptation to changing conditions, or accommodation or integration of new entrants
and technologies, rather than a dramatic change in paradigm. In contrast, a shift toward unstructured
customer-driven evolution, as technologies reach commercial viability and cost-effectiveness, emerges
in Stage 2 and is predominant in the more revolutionary step to Stage 3 — a high-DER, more
decentralized power system with peer-to-peer energy trading across the distribution.
Each state and locality will experience customer adoption at a different pace based on when the cost-
effectiveness of a DER solution equals or is less than the customer’s cost of electric service.
Technological advancements will diminish the ability for policy makers and regulators to shape the pace
and dispersion of customer DER adoption. Utilities are recognizing that old deterministic models of
2 Adapted from P. De Martini and L. Kristov, Distribution Systems in a High Distributed Energy Resources Future Technical
Report No. 2, Future Electric Utility Regulation Series, Lawrence Berkeley National Laboratory, 2015, pre-publication
6. 3
customer load are increasingly irrelevant and that a combination of customer behavior economic
modeling, marketing propensity analysis and probabilistic network planning is necessary.
This means that electric network service providers need to understand customer behavioral economics
(in addition to electric system economics) and new ways to engage customers to adopt and utilize DER
within a more holistic manner that is beneficial for all customers and the network owner. This includes
recognizing and valuing the net benefits can be achieved from leveraging customer DER across a modern
electric network platform.
Customers in Regulatory-Financial Context3
Utilities are also increasingly recognizing enabling alternatives (as opposing) may better position them
with customers in terms of financial and regulatory outcomes based on enhanced social license. Studies
over the past decade have shown material positive correlation between a utility’s customer satisfaction
ratings and profitability through favorable regulatory authorizations and credit ratings.
A 2005 report by Standard & Poor’s (S&P)4, indicated there is a “fairly strong correlation” between
customer satisfaction and a supportive utility regulatory environment which can indicate better credit
quality. S&P’s analysis compared its opinion of a utility’s regulatory environment and the J.D. Power and
Associates Customer Satisfaction Index (CSI).
More recently, a 2012 J.D. Power study5 of regulated electric utility customer satisfaction results in the
U.S. showed that higher levels of customer satisfaction is linked with higher profitability as shown in
Figure 1. Specifically, that regulated utilities in the top quartile of customer satisfaction one year prior to
a rate case had 0.5% higher ROE than the bottom quartile. Also, the study found utilities in the top
quartile received rate increases closer to their requests than did utilities in the bottom quartile.
Figure 2: J.D. Power, 2011 Industry Quartiles Based On Overall Customer Satisfaction
While these linkages have been increasingly established, utilities have been slow to internalize the
“value of customers” in their business strategies. This has changed more recently as customers have
chosen alternatives. Utilities in North America and globally have begun to explore the interdependencies
between providing electric network services essential to modern life and the more clearly understood
relationship to social license created by satisfied customers necessary for a regulated business.
3 Adapted from P. De Martini, Customer Driven Utility Business Models, Edison Electric Institute, 2014
4 T. Shipman, Customer Satisfaction Levels Can Affect U.S. Utility Credit Quality, Standard & Poor’s Ratings Direct Service.
August 2005
5 A. Heath and D. Seldin, How Customer Satisfaction Drives Return On Equity for Regulated Electric Utilities, JD Power &
Associates, May 2012
7. 4
This examination has expanded beyond customer satisfaction to explore dimensions of customer loyalty
as it becomes more relevant for network providers in a disruptive competitive environment. Customer
satisfaction is not a measure of loyalty – meaning that high customer satisfaction doesn’t mean a
customer won’t choose another alternative when given a choice. As such, loyalty may be a better
measure to assess the future relationship with customers in the context of new business options. A key
loyalty issue today is whether customers believe that “my utility does what’s right for me even if it’s not
best for them.”
This is a critical issue for regulators and utilities to consider in shaping electric network provider roles
and services and customer expectations. Misalignment between standard network service and related
regulation, and customers’ expectations for differentiated services can create unintended customer
misperception. In 2013, Accenture highlighted that “just 24 percent of consumers trust their utility to
inform them of actions they can take to optimize energy consumption”, based on their annual utility
customer survey.6 Bain & Company’s global loyalty survey7 of industries found similar results as
highlighted in the Figure 3 below. Any discussion of new utility business models and regulation should
consider alignment with customer’s interests.
Figure 3: Bain & Co. Industries' Net Promoter Scores
However, all is not lost for NSPs as a Swiss Re survey8 showed more customers would rather buy
renewable energy from utilities than generate their own. The issue for utilities and regulators to
consider is what network business options and related services are needed to enhance customer
satisfaction and ensure long-term loyalty in order to maximize value for all customers. This requires
deeper customer engagement and collaboration with all customer segments. As an executive with a
large U.S. retailer shared at the 2014 Edison Electric Institute National Key Accounts Workshop, “We
need to discuss potential business that we have together. We need to look at each other as valued
business partners.”
6 Accenture, 2013 New Energy Consumer research study, Accenture press release, June 2013
7 J. Moerkerken, K. Petrick, A. Dullweber and B. Hamilton, Turning On Utility Customer Loyalty, Bain & Company, 2012
8 Cited in J. St. John, Consumers Want Green Energy From the Utility if the Price Is Right, Greentech Media, Nov. 19, 2013
8. 5
Essential Characteristics
Defining the essential characteristics of customer-orientation for long-term NSP success starts with
understanding customer expectations (“voice of the customer”), in addition to policy objectives as
regulated network providers continue to be viewed as facilitators of public policy.9 These expectations
and objectives provide the basis for identifying the direction and shape of customer engagement,
services and enabling technology platforms.
Customer Expectations
Business and organizations across all industry sectors are facing the challenge of responding to well-
informed customers with high expectations. As J.D. Power noted in 2014, “Consumers are becoming
more familiar with a higher level of service in their daily activities with other service providers and, as a
result, their expectations are rising.” An expectation economy, has emerged enabled by unfettered
access to information regarding the best and most relevant products and services anytime and
anywhere via ubiquitous Internet connectivity. For the electric industry these include increased
expectations regarding options for lowering cost, eco-friendly energy supply and enhancing service
reliability that include the ultimate control of doing-it-yourself.
Active Energy Management
Commercial customer decisions on energy cost management “have become an integral aspect of
managing key financial, energy security, brand, regulatory and competitive risks,” according to a recent
Ernst & Young (E&Y) survey of 100 global corporations.10 Similarly, a 2014 Smart Grid Consumer
Collaborative survey found, “most consumers voice a desire to reduce their energy bills, not be wasteful,
and express a belief that they are energy conscious.” Customers are taking advantage of greater access
to information and automation to manage their energy spending.
Alternative Energy Supply
Customers are seeking alternative distributed generation supply options based on retail costs, reliability,
and environmental objectives. The over 50% decline in rooftop solar prices since 2010 and expectation
for continued reductions may allow rooftop solar to reach retail parity11 in the most populous states in
America within 10 years. Also, by 2020 rooftop solar PV systems in North America will be bundled with
energy storage as the standard customer offering from leading firms, such as SolarCity12 and SunPower.
Sustained low natural gas prices in North America have spurred a renewed interest in combined heat
and power as another option, particularly in microgrids and sustainable city developments. The
economics of alternatives do vary greatly by utility service area based on local service factors, including
applicable tariffs, regulation, federal and state subsidies, and individual customers’ perception of value,
but the overall trend is clear.
Reliability Enhancement
Recent major weather events in the U.S. have highlighted the value of reliable electric service to
customers, communities, and local economies. As a result, residential and commercial customers are
9 The policy role is often ignored in the current U.S. discussions regarding network provider models in a more competitive
and potentially disruptive environment.
10 Cleantech Matters, Global competitiveness Global cleantech insights and trends report, Ernst & Young, 2012
11 Retail parity is the price in which the customer’s cost of buying/leasing solar PV equals their applicable tariff rate. Retail
parity includes the cost reduction from federal and/or state incentives.
12 Public comments by SolarCity COO Peter Rive at the October, 2014 More Than Smart workshop in California as reported by
GreenTech Media.
9. 6
adopting onsite back-up generation at an average annual growth rate of 10% since 2005 according to
Generac, the U.S. market leader. Generac also recently estimated current U.S. residential market
adoption at over 3% for stationary and 13% for portable generators. Reliability is also a significant
concern for critical city emergency services, military and business. This is leading a growing number of
customers to consider microgrids13 that can integrate energy management systems with onsite clean
and backup generation to create improved resiliency.
Customer Engagement Evolution
Many utilities recognize they have a way to go in achieving true engagement across their customer base
and operations. This requires addressing the evolution of customer engagement as is developing in
many industries in terms of enabling greater customer control through information and choices,
providing operational/market context for customers, collaboratively interacting with customers, and
seeking opportunities to co-create value through customer partnerships. These elements are not
sequential and should be pursued within a holistic customer engagement strategy and implementation
plan. These plans have been implemented as part of a customer journey14 initiated with smart meter
deployments or other pervasive customer touch programs.
Figure 4: Customer Engagement Evolution
Customer in Control
The first step in in a 21st
Century customer engagement strategy is providing the information and
decision support tools to empower customers to make informed decisions regarding the various means
and alternatives to manage their energy budgets. This is being expanded to include information on
alternatives for energy supply and enhancing reliability. Automated access is simple and available to 3rd
parties via customer authorization.
13 Microgrid is a group of interconnected customer loads and distributed energy resources that acts as a single controllable
entity that can operate in integrated or independent modes to increase reliability for the customer/s.
14 Southern California Edison and BC Hydro implemented such a customer journey as part of their smart meter/smart grid
deployments leveraging experts from IDEO, the global human-centered innovation and design firm.
10. 7
Customer in Context
Customer information (utility, public and 3rd
party proprietary) combined with operational information
developed through greater use of analytics and geospatial data enables contextual insights for both
customer decisions as well as planners and operators. This mutually beneficial information spans
distribution network hosting capacity for DER development to targeted demand side management
program design to real-time outage and restoration information.
Customer Collaboration
Customer interaction is increasingly being explored for not only self-service operational savings, but also
market participation opportunities and information about outages and damage assessment after
storms. This information exchange not only uses structured data, but also unstructured information
from social media sites such as Twitter, YouTube and Instagram regarding, for example, outages and
storm damage.
Customer Co-creation
Customer DER is increasingly viewed as a viable alternative to traditional generation, transmission and
distribution investment. In this context, customers and their merchant providers become co-creators of
the future integrated grid. The opportunities to expand value creation extend to the electrification of
transportation to achieve greenhouse gas reduction objectives as well as local municipal partnerships to
achieve sustainable urban development globally.
Network Services Customers/Users
Network services customers are evolving and expanding with the adoption of DER and opening of
market opportunities for these resources to provide services to market and network operators. Many
customers will continue to receive more traditional network services, with perhaps options for greater
information access and enhanced reliability. However, there is a growing segment of business and
residential customers, prosumers, that are adopting DER that are using the network in new ways (e.g.,
bi-directional use) and related services (e.g., virtual energy storage). Additionally, an emerging set of
merchant customers that are using the network as a means of enabling transactions with both
consumers and prosumers. The following discusses the emergence of prosumers and merchant users.
Prosumers
The evolution of certain customers (regardless of business or residential segment) becoming prosumers
– that is, producing excess energy and related services as well as consuming delivered energy from the
power system, is well established. The network and related services largely involve delivery and market
access services to participate in wholesale markets. Additionally, services may include DER portfolio
management and optimization for customers’ assets. For government customers, the needs may
involve a larger scope of services related to urban sustainable development through zero net energy and
enhanced reliability solutions. These solutions more often propose to integrate various renewable and
clean resources to serve multiple end-users leveraging NSP infrastructure, and DER asset management
and monetization.
11. 8
Merchant Users
A set of merchant users are emerging for distribution network services, similar in nature to those in
wholesale markets, including:
Energy Service Providers
Competitive, unregulated Energy Services Providers (ESP), such as Constellation, Direct Energy and NRG
in North America, and new non-profit Community Choice Aggregators will continue to bundle energy
with other value added services including onsite generation, storage and demand response technology
for customers. These ESPs will be customers of the NSP in terms of transporting energy and related
services across the distribution network between the customer and the wholesale market. Also, as DER
grows, ESPs will likely seek to avoid transmission system charges by transacting over local distribution
networks where possible.
DER Aggregators
The role of aggregating non-commodity energy services by for profit firms and government sponsored
non-profit organizations will evolve to include aggregation of DER resources that supply network
management services as alternatives to generation and network investment. In the U.S. demand
response aggregators like EnerNoc and Comverge, are being joined by DER developers like SolarCity and
SunPower and non-profit state demand side management organizations15 in distribution and
transmission level markets.
Technology Platform Service Providers
As a distribution market place evolves, opportunities to access and mine customer transactional data
may develop. Companies like Google, Apple, ADT (home security), Comcast (cable service provider) and
others are looking to adapt and expand their hardware and software technology platforms to offer
energy-related services to customers. They are also looking to monetize the latent value from the
intelligent building or home energy devices and consumer energy conservation. This value monetization
will involve use of electric network services in many cases to monetize the system energy and capacity
value.
NSP Services: Present & Future
Network service providers may expand the range of services for existing business, government and
residential consumers without DER, prosumers with DER and emergent merchant users of the
distribution network. Today, utilities across North America have begun the process of redefining existing
services and identifying new services to meet the changing needs of customers. The following is a
summary of this ongoing exploration.
NSP Services by Customer Category
Figure 5 below highlights existing and potential future NSP service offerings by customer category. This
list is based on current customer service offerings and announced service demonstrations by North
America utilities. The future services listed have been discussed in several research papers and in the
New York Reforming the Energy Vision (REV) regulatory proceeding and subsequent Market Design and
Platform Technology working group.
15 Examples include Hawaii Energy and Efficiency Vermont
12. 9
Figure 5: NSP Services by Customer Category
NSP Services Examples
The following figures 5 and 6 highlight representative NSP service offerings based on the list above for
Consumers, Prosumers and Merchant customers as proposed, in demonstration or currently available in
North America.
15. 12
Conclusion
The electricity industry is experiencing a sea change across the world: distributed energy resources are
being deployed by customers who are increasingly seeking options to augment existing NSP service that
are more economic, environmentally friendly and offer improved reliability. This trend is expected to
continue its rapid growth through the next decade through accelerating technological and business
innovation. It is important to note that while there has been strong growth rates, customer adoption of
distributed resources is currently at a relatively early stage of market adoption. There remains
significant potential for NSPs to benefit from further growth through a more customer-centric and
distributed power system.
However, new NSP strategies will be required involving new business models and regulation based on a
fundamental shift to customer-centric thinking. The convergence of new energy and information
technologies, expansion of electric markets, pervasive connectivity and related rise of social businesses
allow business strategies and customer engagement that were not possible a decade ago.
As such, the time is now for NSPs to consider the following and begin a journey with their customers –
all of their customers – including those that may be disrupting aspects of the traditional service model.
Customers’ perceived value of NSP service drives enterprise value through revenues and social
license. Customer satisfaction is an excellent starting point, but delving deeper into customer
loyalty is needed to more fully understand the changing nature of customer perceptions in a
wider competitive landscape.
NSPs need to engage customers on all four dimensions; control, context, collaboration and co-
creation to plan and operate a 21st
Century electric network. Close engagement will also yield
insights into customer decision making that has the potential for material changes (positive and
negative) in the operation of a network as well as opportunities for new mutually beneficial
value creation with customers.
NSPs should explore opportunities to facilitate customer choice as the value of doing the right
thing for customers now may be a primary factor for future success in a more customer-centric
electric system.
NSP customers are expanding to include prosumers and merchants that have generally viewed
as competitors – these customers have new service needs with associated revenue potential
that may more than offset the loss of traditional revenue.16
Business model pilots are an effective approach to validate new NSP services - allowing
validation of customer acceptance, revenue models, and processes and technologies toward
production service launch. Global experience with new NSP business models and revenue
opportunities is growing and opportunities for best practice sharing is expanding.
16 New York’s NYSERDA research organization is conducting an analysis of the revenue potential from these types of services
that is expected to be completed by the end of 2015.