Navigant Offers Behavioral and Analytical Demand-Side Management ReportFriday, October 30, 2015 Residential and Commercial & Industrial DSM: Market Drivers, Technology Trends, Competitive Landscape, and Global Market ForecastsBehavioral and analytical demand-side management (DSM) are relatively new methods for discovering and promoting energy savings that have the potential to reduce costs for energy consumers beyond what traditional DSM programs have achieved. Each relies on software platforms and utilizing data to capture information on personal and business energy use. Behavioral DSM tends to focus on educating consumers and encouraging individual participation to achieve energy savings, whereas analytical DSM finds opportunities for savings through equipment monitoring and data analytics. The new availability of energy usage data and the creation of software platforms with data analytics have provided the basis for behavioral and analytical DSM. This trend has been driven both by the growth of the smart grid and smart meter deployments. The resulting intelligence has become a tool for promoting reduced energy consumption and cost reduction, leading to greater customer satisfaction for utilities and furthering investment in DSM programs. However, while DSM programming is becoming increasingly important to utilities, there is hesitancy around adopting new technologies. Behavioral and analytical DSM are such new concepts that performance and results from these solutions need to be evaluated to instill confidence in widespread adoption. According to Navigant Research, global behavioral and analytical DSM spending is expected to grow from $214.7 million in 2015 to $2.5 billion in 2024. This Navigant Research report examines the global behavioral and analytical DSM market, with a focus on two sectors: residential and commercial and industrial (C&I). The study provides an analysis of utility case studies and market issues, including drivers and barriers, associated with behavioral and analytical DSM. Global market forecasts for spending, segmented by category (behavioral and analytical), sector, and region, extend through 2024. The report also looks at the competitive landscape of behavioral and analytical DSM to identify and highlight the strengths and challenges of key players in the market. Details at http://www.navigantresearch.com/research/behavioral-and-analytical-demand-side-management Key Questions Addressed:
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Table of Contents1. Executive Summary 1.1 Introduction to Behavioral and Analytical Demand-Side Management 1.2 Market Drivers 1.3 Market Barriers 1.4 Technology Overview 1.5 Market Forecast 2. Market Issues 2.1 History and Evolutionary Path of Demand-Side Management Programs 2.2 Definition of Behavioral and Analytical DSM 2.2.1 Behavioral Definition 2.2.1.1 BEE 2.2.1.2 BDR 2.2.2 Analytical Definition 2.2.3 Energy Efficiency versus DR 2.3 Drivers for Behavioral and Analytical DSM 2.3.1 AMI Data 2.3.2 Electronic Communications 2.3.2.1 Meter Data Communications 2.3.2.2 Social Media/Customer Outreach 2.3.3 Increasing DSM Goals and Regulatory Pressure 2.3.3.1 North America 2.3.3.1.1. Massachusetts 2.3.3.1.2. California 2.3.3.2 Europe 2.3.3.2.1. Germany 2.3.3.2.2. Italy 2.3.3.2.3. United Kingdom 2.3.3.3 Asia Pacific 2.3.3.3.1. China 2.3.3.3.2. Japan 2.3.4 DSM Program Cost-Effectiveness 2.3.4.1 SMB Segment 2.3.5 Utility Customer Engagement/Satisfaction 2.3.6 Grid Modernization 2.3.7 Dynamic Pricing 2.3.8 Smart Thermostats 2.3.9 Carbon Regulations 2.3.9.1 Clean Power Plan 2.3.9.2 EU 2.4 Barriers for Behavioral and Analytical DSM 2.4.1 Utility Resistance to Change 2.4.2 Short Performance History 2.4.2.1 Behavioral Persistence 2.4.2.2 Analytical Accuracy versus Building Audits 2.4.3 Varied EM&V Results 2.4.4 Unknown Customer Acceptance over Time 2.4.5 Data Privacy/Security 2.4.6 Commoditization of Service 2.5 Utility Case Studies 2.5.1 Behavioral 2.5.1.1 BGE 2.5.2 Analytical 2.5.2.1 Consolidated Edison 3. Technology Issues 3.1 Behavioral Theories/Strategies/Algorithms 3.1.1 Energy Usage Comparisons 3.1.2 HVAC Setpoints 3.1.3 DR Notifications 3.2 Analytical Tools 3.2.1 Remote Audits 3.2.2 Usage Disaggregation 3.2.3 Efficiency Recommendations 3.2.4 Thermostat Analytics 4. Key Industry Players 4.1 Competitive Overview 4.1.1 Behavioral DSM Vendors 4.1.1.1 Leading Behavioral Vendors 4.1.1.1.1. Apogee Interactive 4.1.1.1.2. EnerNOC 4.1.1.1.3. Opower 4.1.1.2 Other Behavioral Vendors 4.1.1.2.1. Bidgely 4.1.1.2.2. CEIVA Energy 4.1.1.2.3. EnergyHub 4.1.1.2.4. Schneider Electric 4.1.1.2.5. Tendril 4.1.2 Analytical DSM Vendors 4.1.2.1 Leading Analytical Vendors 4.1.2.1.1. C3 Energy 4.1.2.1.2. FirstFuel 4.1.2.1.3. Retroficiency 4.1.2.2 Other Analytical Vendors 4.1.2.2.1. AutoGrid 4.1.2.2.2. BuildingIQ 4.1.2.2.3. Comverge 4.1.2.2.4. EcoFactor 4.1.2.2.5. Ecova 4.1.2.2.6. Lucid Design Group, Inc. 4.1.2.2.7. Nest Labs 4.1.2.2.8. PlotWatt 4.1.2.2.9. Powerhouse Dynamics 4.1.2.2.10. Space-Time Insight 4.1.2.2.11. WeatherBug 5. Market Forecasts 5.1 Forecast Introduction 5.2 Assumptions Guiding This Forecast 5.2.1 A Note on Report Scope and Market Sizing 5.3 Global Behavioral and Analytical DSM Spending 5.3.1 Behavioral DSM Spending 5.3.2 Analytical DSM Spending 5.4 Conclusions and Recommendations 6. Company Directory List of Charts and Figures
List of Tables
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