Dynamic Pricing

Open Automated DR Dynamic Pricing

Project Status: 
Current

This project developed and evaluated the use of OpenADR with time-differentiated prices such as static Time-of-Use (TOU) and dynamic Real-Time Pricing (RTP) rate models. This project will include creating a framework for a tabular RTP model as a proof of concept Demand Response Automation Server (DRAS) interface.  These models will be integrated with OpenADR simple and smart clients used within building control systems to demonstrate responses to communication and data models developed using the OpenADR specification. While the primary focus of OpenADR has been commercial and industrial facilities that have 15-minute interval meters, this project will consider time-differentiated prices for residential buildings that have 1-hour interval meters.The initial phase of the project met the following purposes:

  • Evaluate implementation methods for OpenADR time-differentiated pricing and related RTP models.
  • Develop simple Time of Use (TOU) models that are a subset of RTP models.
  • Evaluate how these models map onto signals for existing rates in California.
  • Demonstrate the OpenADR RTP and TOU data model and signal implementation.  The initial test will be with PCTs in a project run by HMG.
  • Provide concepts to evaluate commercial, industrial, and residential buildings response to dynamic pricing.

Contacts: 

Demand Response Behavior (RON03)

Project Status: 
Completed
Date Range: 
Completed in 2009

RIA PROJECT: This paper discusses results of a two-year collaborative research project between the authors and the Demand Response Research Center focused on behavioral response to a voluntary time-of-use pilot rate offered by the Sacramento Municipal Utilities District (SMUD) under the PowerChoice label. The project had two purposes: one was to assess the potential for increasing demand response through the introduction of enhanced information and real-time consumption feedback; the second was to better understand behavioral response to a TOU rate.

Three successive waves of telephone surveys collected details about reasons for participation, actions taken, capacities and constraints to altering behavior, and a range of salient conditions, such as demographics and dwelling characteristics. Pre- and post-program interval meter data for participants and a comparison sample of households were also collected and analyzed to consider initial and season-change price effects of the rate and the effect of supplemental information treatments on response.

Over half of surveyed participating households reported that they had made a great deal of effort to adjust their electricity consumption to the rate. Despite this, load data analysis revealed only minimal price effects; and, though households subjected to information treatments seemed to have learned from these treatments, load data analysis again detected only minimal effects on load. Given the currently high hopes for behavioral intervention and residential TOU rates, these unexpected results require explanation. We suggest a number of possibilities and discuss some implications for TOU programs, and for understanding demand response behavior and approaches to experiments with TOU rates.

HMG PROJECT: This report documents a field study of 78 small commercial customers in the Sacramento Municipal Utility District service territory who volunteered for an integrated energy-efficiency/ demand-response (EE-DR) program in the summer of 2008. The original objective for the pilot was to provide a better understanding of demand response issues in the small commercial sector. Early findings justified a focus on offering small businesses (1) help with the energy efficiency of their buildings in exchange for occasional load shed, and (2) a portfolio of options to meet the needs of a diverse customer sector.

To meet these expressed needs, the research pilot provided on-site energy efficiency advice and offered participants several program options, including the choice of either a dynamic rate or monthly payment for air-conditioning setpoint control. An analysis of hourly load data indicates that the offices and retail stores in our sample provided significant demand response, while the restaurants did not. Thermostat data provides further evidence that restaurants attempted to precool and reduce AC service during event hours, but were unable to because their air-conditioning units were undersized.

On a 100°F reference day, load impacts of all participants during events averaged 14%, while load impacts of office and retail buildings (excluding restaurants) reached 20%. Overall, pilot participants including restaurants had 2007-2008 summer energy savings of 20% and bill savings of 30%. About 80% of participants said that the program met or surpassed their expectations, and three quarters said they would probably or definitely participate again without the $120 participation incentive.

These results provide evidence that energy efficiency programs, dynamic rates and load control programs can be used concurrently and effectively in the small business sector, and that communicating thermostats are a reliable tool for providing air-conditioning load shed and enhancing the ability of customers on dynamic rates to respond to intermittent price events.

Additional Contacts

Rick Diamond, LBNL
Jane Peters, Research Into Action
Karen Herter, Heschong Mahone Group

Demand Response Valuation Framework

Project Status: 
Completed
Date Range: 
Completed in 2009

While there is general agreement that demand response (DR) is a valued component in a utility resource plan, there is a lack of consensus regarding how to value DR. Establishing the value of DR is a prerequisite to determining how much and what types of DR should be implemented, to which customers DR should be targeted, and a key determinant that drives the development of economically viable DR consumer technology. Most approaches for quantifying the value of DR focus on changes in utility system revenue requirements based on resource plans with and without DR. This “utility centric” approach does not assign any value to DR impacts that lower energy and capacity prices, improve reliability, lower system and network operating costs, produce better air quality, and provide improved customer choice and control. Proper valuation of these benefits requires a different basis for monetization. The review concludes that no single methodology today adequately captures the wide range of benefits and value potentially attributed to DR. To provide a more comprehensive valuation approach, current methods such as the Standard Practice Method (SPM) will most likely have to be supplemented with one or more alternative benefit-valuation approaches.

Additional Contacts

Grayson Heffner, Global Energy Associates

Establish the Value of Demand Response (RON02)

Project Status: 
Completed
Date Range: 
Completed in 2006

The objective of these two research projects, conducted under the DRRC’s “ RON 01 – Establish the Value of Demand Response” was to develop a “comprehensive DR conceptual evaluation framework.” The Energy and Environmental Economics, Inc. (E3) team reviewed approaches for demand response (DR) valuation applied in California and other states, and recommended an approach for developing a comprehensive DR valuation methodology. The review identified no complete DR valuation framework that can be applied directly in California, and recommended the current standard practice for cost/benefit analysis of energy efficiency be modified to capture the attributes of DR. The team identified a minimum of six gaps in the existing standard practice that need to be addressed to appropriately value demand response. The Summit Blue team developed a framework for developing and describing approaches, processes, and procedures for making good decisions regarding the role of DR in regional California electric markets. The framework that was developed uses as its organizing focus the investment decision in DR, i.e., what information is needed to make good decisions regarding the appropriate investment in DR to lower overall system costs and achieve market-wide objectives. This method is also designed to be able to address different stakeholder objectives. The project report develops a “problem statement” for the valuation of DR, and an assessment of needs and objectives that should be met by a comprehensive valuation framework. The report presents an approach to developing a comprehensive valuation framework that consists of four Task Work Areas: 1) Price effects from DR portfolios; 2) Transmission investment avoided/deferred costs; 3) Distribution investment deferred costs; and 4) Market effects focusing on hard to quantify benefits.

Additional Contacts

Dan Violette, Summit Blue Consulting
Ren Orans, Energy and Environment Economics, Inc.

Incentives and Rate Designs for Efficiency and Demand Response (RON01)

Project Status: 
Completed
Date Range: 
Completed in March 2006

The objective of these two research projects, conducted under the DRRC’s “ RON 02 – Incentives and RateDesign for Energy Efficiency and Demand Response” was to develop an analysis framework for evaluating incentives and rate design for demand response. The Energy and Environmental Economics team developed a framework consisting of a number of screens that evaluate different aspects of DR rate design performance. The assessment includes economic efficiency and fit with the California emerging market structure, potential for significant load reduction, value to the system and customers, potential bill savings, and customer acceptance. Taken together, the screening steps should help to ensure that a DR rate design that scores highly against these criteria would be implementable within the California market, regulatory, and policy context. The E3 team then evaluates illustrative DR rate designs with the evaluation framework as a proof of concept. The analysis, which is completed without input from stakeholders, uses only readily available or proxy data, and therefore the results are not necessarily meaningful beyond a validation of the concept. The Christensen Associates team developed a conceptual framework for designing retail electricity rate structures that provide appropriate incentives for energy efficiency and demand response. The conceptual framework is based upon well-established economic theory of public utility pricing going back at least twenty years, and upon power industry experience of a similar length of history. The emphasis within this document is on the proper application of pricing principles in designing a portfolio of products that will produce the efficient amount of demand response. The report also describes prototype rate designs that illustrate the types of retail rates that provide these incentives.

Additional Contacts

Steve Braithwait, Christensen Associates
Ren Orans, Energy and Environment Economics, Inc.

Program and Tariff Analysis: Electricity Pricing and Demand Response

Project Status: 
Completed
Date Range: 
Completed in 2005

The focus of this research evaluated lessons learned from DR programs and experiences with dynamic tariffs to inform policy and technology programs in California.

Additional Contacts

Chuck Goldman, LBNL

Rate Design for Capturing Energy Efficiency and Demand Response for Technical Potential

Project Status: 
Completed
Date Range: 
Completed in December 2008

Identify and demonstrate new rate designs that achieve the state’s energy efficiency and demand response goals while recovering utility revenue requirements and ensuring equity in ratemaking among customers.

Additional Contacts

Ahmad Faruqui, Brattle Group