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Market Research Report

Global Virtual Power Plant Market, Forecast to 2022

Published by Frost & Sullivan Product code 498183
Published Content info 76 Pages
Delivery time: 1-2 business days
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Global Virtual Power Plant Market, Forecast to 2022
Published: April 28, 2017 Content info: 76 Pages

Changing Consumer Roles in the Utility Industry will Spur the Demand for Virtual Power Plant Solutions

This research service analyzes the Virtual Power Plant (VPP) market by end users (demand management, power trading), region (North America, Europe, Asia-Pacific, and Rest-of-world), trends, and revenue forecast till 2022. VPP promises significant improvements in grid reliability and resilience and early adoption has taken place in Western Europe and North America. This research service hopes to solve issues around peak power demand and facilitate the adoption of distributed energy resources. This study also discusses key trends and analyzes the implemented business models (supply-side, demand-side, and mixed-asset models) for VPP across the globe. Additionally, there is also focus on the top participants in the global market such as ABB, Next Kraftwerke, Siemens, VPP Intelligent Energy, Enbala Power Networks, and AutoGrid, Viridity Energy. The study also discusses the growth opportunities for companies in the global VPP market along with strategic imperatives for success and growth for the companies.

Key Questions this Study will Answer

  • What are the top trends that will drive the VPP market in 2017? What impact will these trends have on the market during the forecast period?
  • What are the key industry trends propelling the adoption of VPP solutions globally?
  • What was the size of the total VPP solutions market in 2016 and how is it expected to grow in 2017 and where will it be by 2022?
  • Who are the key stakeholders in the market?
  • What are the future prospects and growth opportunities for VPP vendors?

VPP solutions aggregate all the distributed energy resources along the grid. Traditional utility business models are likely to be disrupted due to growing Distributed Energy Resources (DERs) along the grid. A number of different vendors together contribute to the value chain of a VPP system. These include solar Photovoltaic (PV) companies, battery storage providers, wind turbine manufacturers, demand response companies, software solution providers, communication vendors, and building energy management solution providers.

The study period is from 2016 to 2022, with 2016 as the base year. The forecast period is from 2017 to 2022. Frost & Sullivan's revenue estimation represents only the software component of the virtual power plant solution and does not include power-plant systems such as PV panels, wind turbines, fuel cells, batteries, and other components. Market information for the base year has been obtained from both primary and secondary research data and analyses. Key trends and information on market size, tiers of competition, and other variables are based on discussions with key industry stakeholders in the value chain.

Table of Contents
Product Code: K13C-14

Table of Contents


  • Executive Summary


  • Definition of a Virtual Power Plant
  • Conceptualizing a VPP
  • Differences Between MGs and VPPs
  • Types of VPP
  • Market Overview-Geographical Scope
  • Market Overview-Specific Exclusions
  • VPP-Ecosystem Participants
  • Why VPP?
  • Why VPP?-When the Wind Stops
  • Associated Multimedia and Related Research
  • Key Questions this Study will Answer


  • Key Factors Drive Adoption of Virtual Power Plants
  • Network Congestion and Bottlenecks
  • Network Congestion and Bottlenecks (continued)
  • Increasing Peak Load Prices
  • Growing Distributed Energy
  • Growing Distributed Energy (continued)
  • Growing Distributed Energy (continued)
  • Growing Distributed Energy (continued)
  • Rise of Operational Analytics
  • Lack of Willingness to Share Information


  • Revenue Forecast-VPP Market
  • Revenue Forecast Discussion-VPP Market
  • VPP Usage by End Users
  • VPP-Regional Outlook
  • Regional Analysis
  • VPP-Regional Outlook
  • VPP-Regional Outlook (continued)
  • VPP-Regional Outlook (continued)
  • VPP-Regional Outlook (continued)
  • VPP-Regional Outlook (continued)
  • VPP-Regional Outlook (continued)
  • VPP-Regional Outlook (continued)
  • VPP-Regional Outlook (continued)
  • VPP-Regional Outlook (continued)
  • VPP-Regional Outlook (continued)
  • VPP Projects-Global


  • VPP Competitive Tier Analysis
  • Competitive Environment
  • Competitive Factors and Assessment
  • The VPP Ecosystem
  • The VPP Ecosystem (continued)
  • Competitor Analysis
  • Competitor Analysis (continued)
  • Competitor Analysis (continued)
  • Competitor Analysis (continued)
  • Competitor Analysis (continued)
  • Competitor Analysis (continued)
  • Competitor Analysis (continued)
  • Competitor Analysis (continued)
  • Competitor Analysis (continued)
  • VPP Business Models for Utilities
  • VPP Business Model-Supply Side
  • VPP Supply Side Case Study-Siemens and RWE
  • VPP Business Model-Demand Side: Using DR for Enabling VPP
  • VPP Demand Side Case Study-Blue Pillar
  • VPP Business Model-Mixed Asset: Combining Demand and Supply Side
  • VPP Mixed Asset Case Study-Green Charge


  • Growth Opportunity 1-Internet of Things (IoT) Enabled Products
  • Growth Opportunity 2-Data Analytics and Cloud
  • Strategic Imperatives for Success and Growth


  • The Last Word-3 Big Predictions
  • The Last Word-3 Big Predictions (continued)
  • Legal Disclaimer


  • Additional Sources of Information on Smart Plant
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