Welcome!

News Feed Item

Fourth Utility Case Study Released by the Association for Demand Response & Smart Grid

WASHINGTON, Oct. 11, 2013 /PRNewswire-USNewswire/ -- The Association for Demand Response & Smart Grid (ADS) released a new case study today that examines how systems thinking and an open attitude can help utilities innovate, learn, and view smart meter rollouts as opportunities to proactively reach out to their entire customer base. The case study uses interviews with employees and partners of San Diego Gas & Electric (SDG&E) to illustrate how the utility's smart meter deployment and community outreach affected its traditional business processes and how it involved customers and stakeholders to co-design new products, programs, and systems. The narrative-style case study is the fourth in an ADS series that goes behind the scenes to examine the goals, reasoning, and processes used to design and evaluate program offerings and tools.

"This case study highlights the way that a traditional, investor-owned utility, can still find ways to be a creative learning organization by working with its customers and community stakeholders in designing its programs and products," said Dan Delurey, Executive Director of ADS.

Delurey noted that SDG&E was chosen as a case study subject because it would appear that many of its lessons could be useful to other utilities, regardless of size or governance structure. The case study, which was funded by the Department of Energy's Office of Electricity Delivery and Energy Reliability, and authored by Judith Schwartz of To the Point, lists the following among the lessons learned by SDG&E in its smart meter deployment:

  1. Cultural shifts take time and commitment from leadership and managers throughout the organization. 
  2. Transparency and accountability are critical to effective collaboration.
  3. If customers, stakeholders, and interveners are partners in the creation process, they have a vested interest in the successful outcome of new programs and practices.
  4. Prototyping and rapid development models work successfully with a structured collaborative framework, even in regulated environments. 
  5. Working with trusted community-based partners allows utilities to proactively anticipate the changing requirements and concerns of evolving communities while communicating more effectively.
  6. Deployment of smart meters can provide a focal point to connect with every customer in a positive and proactive way.
  7. A learning mindset is effective when applied to technical, IT, and operational projects as well as customer outreach.        

"Like the previous case studies released by ADS, our format uses interviews with the 'players' to provide an inside view of implementing a smart meter rollout, and challenges readers to consider how they would apply these experiences to their own organizations," said Delurey. "You get to hear from SDG&E personnel, not just what their conclusions are, but how they got there, and who they worked with along the way. We hope that practitioners and policymakers will use this to see what lessons were learned by SDG&E and how they might be applied to their own work."

Delurey also noted that one aspect of the deployment at SDG&E involved the question of how energy efficiency programs could be enhanced via integration with the smart meter deployment, and how traditional barriers and silos are being transcended. This question will also be explored in-depth at the upcoming National Summit on Integration of Energy Efficiency and Smart Grid being held in Washington, DC October 15-16.  More information on that is available at www.energyefficiencysmartgrid.org.

The case study can be found on the ADS website at www.demandresponsesmartgrid.org/CaseStudies.

About the Association for Demand Response & Smart Grid

The Association for Demand Response & Smart Grid (ADS) is a nonprofit organization consisting of professionals, companies, and organizations involved in demand response and smart grid. It provides services to educate and help policymakers and practitioners its members in the conduct of their work and in the attainment of their goals.  ADS seeks to establish and grow a demand response "community" of policymakers, utilities, system operators, technology companies, consumers, and other stakeholders.

Group Members of ADS are Ameren, American Public Power Association (APPA), Arizona Public Service (APS), California ISO, Comverge, Con Edison, Conservation Services Group (CSG), Constellation, Corporate Systems Engineering, Dimplex, Duke Energy, Emerson Climate Technologies, ENBALA, Energate, EnergyHub, EnerNOC, Freeman, Sullivan & Co, GE, ISO New England, Itron, Landis+Gyr, MISO, National Grid, National Rural Electric Cooperative Association (NRECA), Navigant Energy Practice, Negawatt, NYSERDA, Olivine, On-Ramp Wireless, Opower, Pacific Gas & Electric (PG&E), PECO, PJM Interconnection, Reliant, Rodan Energy Solutions, San Diego Gas & Electric (SDG&E), Siemens, Silver Spring, Southern California Edison (SCE), Southern Company, Tennessee Valley Authority (TVA), and Vermont Energy Investment Corporation (VEIC).    

More information on ADS can be found at: www.demandresponsesmartgrid.org

About To the Point

Judith Schwartz is an entrepreneur, marketing strategist, and communications professional on the forefront of sustainability issues, the Smart Grid, alternative energy, and the digital home. Her Silicon Valley- based firm, To the Point, designs human-centered strategies, conducts research and meta- analysis, creates narratives and messaging, facilitates cross-stakeholder conversations, and develops communications and outreach prototypes.

SOURCE Association for Demand Response & Smart Grid (ADS)

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will d...
While DevOps most critically and famously fosters collaboration, communication, and integration through cultural change, culture is more of an output than an input. In order to actively drive cultural evolution, organizations must make substantial organizational and process changes, and adopt new technologies, to encourage a DevOps culture. Moderated by Andi Mann, panelists discussed how to balance these three pillars of DevOps, where to focus attention (and resources), where organizations might...
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Le...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
CI/CD is conceptually straightforward, yet often technically intricate to implement since it requires time and opportunities to develop intimate understanding on not only DevOps processes and operations, but likely product integrations with multiple platforms. This session intends to bridge the gap by offering an intense learning experience while witnessing the processes and operations to build from zero to a simple, yet functional CI/CD pipeline integrated with Jenkins, Github, Docker and Azure...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Dhiraj Sehgal works in Delphix's product and solution organization. His focus has been DevOps, DataOps, private cloud and datacenters customers, technologies and products. He has wealth of experience in cloud focused and virtualized technologies ranging from compute, networking to storage. He has spoken at Cloud Expo for last 3 years now in New York and Santa Clara.
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure ...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.