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Microgrid Market, Global Forecast & Analysis (2012 - 2022) - Focus on Renewable Power Generation, Solar Photo-voltaics, Wind Micro-Turbines, Battery, Energy Storage & Control Systems, By Types, Components & Technologies

NEW YORK, Jan. 21, 2013 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:

Microgrid Market, Global Forecast & Analysis (2012 – 2022) – Focus on Renewable Power Generation, Solar Photo-voltaics, Wind Micro-Turbines, Battery, Energy Storage & Control Systems, By Types, Components & Technologies

http://www.reportlinker.com/p01084150/Microgrid-Market-Global-Forecast--Analysis-2012-–-2022-–-Focus-on-Renewable-Power-Generation-Solar-Photo-voltaics-Wind-Micro-Turbines-Battery-Energy-Storage--Control-Systems-By-Types-Components--Technologies.html#utm_source=prnewswire&utm_medium=pr&utm_campaign=Electrical_Equipment

To provide tailored, efficient, and reliable energy services to the end users, microgrid employs and integrates a wide range of distributed energy technologies such as generation, storage and advanced controls, metering and communications into a controlled system that manages energy generation, transmission, distribution, and usage on a small scale as compared to the conventional macrogrid.

The report analyzes the global microgrid market and presents detailed insights of the market by technology, by characteristics, by application, and by geography. Besides, detailed discussion on the drivers, restraints, and opportunities of the market is also presented.

Market by Technology - The market by technology is further segmented under the following headings: by components and technological trends. Market by components presents the market analysis for key components such as batteries and storage system, power inverter, Smart meter and switch gear. The section also discusses the market for CHP technologies-microturbine and reciprocating engine. Microturbine is currently the largest CHP market by technology while Reciprocating engines are expected to grow at a higher rate during the forecast period.

Market by Characteristics:

The market by characteristics is segmented by types and by consumption pattern. Microgrid by types discusses the three types of microgrid namely grid connected, off-grid and hybrid. Market by consumption pattern discusses the following three facets of microgrid market- Urban, Semi-urban and rural/island.

Market by Application: The application market has been covered under four broad segments- campus/institutional, Defense and Military base, Commercial and others.

Market by geography:

The report discusses the global market under four geographical heads; namely North America, Europe, APAC, and ROW. North America is the largest market by geography while the major growth in the market is expected from countries such as India, China, Brazil, Russia and South Africa etc.

Furthermore, the industry analysis section covers the overall generation and storage of microgrid and also presents key value chain analysis for the microgrid and other allied industries.

The report also gives detailed profiles of various companies currently active or just venturing into the microgrid market. All the other details of the key players in the entire value chain such as key product launches, technologies, industry partners, financials, and growth strategies are discussed in the extensive company profiles section. In addition to the company profiles, a competitive landscape of the current market is analyzed.

Key Take-Aways

Global installed capacity of microgrid has seen a staggering growth since 2011 and is forecast to grow at a CAGR of over 17% from 2012- 2022 to attain a total installed capacity of over 15GW by 2022.

In terms of market value for the vendors the market presents a potential of over $5billion and is likely to reach up-to $27 billion by 2022 growing at a CAGR of over 17% from 2012-2022.

Campus/Institutional microgrid is the largest microgrid by application and is forecast to grow at a CAGR of 18.83% from 2012-2022.

Military and defense based microgrid and commercial microgrid is forecast to have almost same installed capacity by 2022.

Off-grid microgrid continues growing at the highest CAGR for next 5-6 years, while hybrid microgrid market is expected to grow at the highest CAGR during 2012-2022.

This shift in growth is expected to happen once utility begin ramping up their microgrid facilities. Handfuls of utilities have already begun pilot projects including American Electric Power (AEP), Sacramento Municipal Utility District (SMUD), BC Hydro, and San Diego Gas & Electric (SDG&E).

RoI on microgrid varies across geographies and also depends on power generation sources.

A fully developed microgrid with demand response management, on-site generation and storage, advanced controls and grid independence capabilities requires a longer payback period.

TABLE OF CONTENTS

1 INTRODUCTION 22

1.1 KEY TAKE-AWAYS 221.2 ANALYST INSIGHTS 231.3 REPORT DESCRIPTION 241.4 MARKETS COVERED 251.5 STAKEHOLDERS 261.6 REPORT ASSUMPTIONS 271.7 RESEARCH METHODOLOGY 281.7.1 MARKET CRACKDOWN & DATA TRIANGULATION 291.7.2 KEY DATA POINTS TAKEN FROM PRIMARY SOURCES 311.7.3 KEY COMPANIES OF PRIMARY RESEARCH 31

2 EXECUTIVE SUMMARY 32

3 MARKET OVERVIEW 35

3.1 INTRODUCTION 36

3.2 INDUSTRY LIFECYCLE 39

3.3 SEGEMENTATION OF THE GLOBAL MICROGRID MARKET 40

3.4 MARKET STATISTICS 40

3.4.1 GLOBAL MICROGRID SYSTEMS MARKET 41

3.5 MARKET DYNAMICS 43

3.5.1 MARKET DRIVERS 43

3.5.1.1 Increasing demand and aging infrastructure 44

3.5.1.2 Need for reliable and secure power 46

3.5.1.3 Electrification in the third world countries 46

3.5.1.4 Regulatory incentives 47

3.5.2 MARKET RESTRAINTS 47

3.5.2.1 Technological barriers 48

3.5.2.1.1 Absence of specific control and conversion mechanism 48

3.5.2.1.2 Lack of scalability 48

3.5.2.2 Economic barrier 49

3.5.3 MARKET OPPORTUNITIES 49

3.6 BURNING ISSUES 50

3.6.1 UTILITIES RELUCTANCE 50

3.7 WINNING IMPERATIVES 50

3.7.1 STRATEGIC ALLIANCES ACROSS VALUE CHAIN 50

4 INDUSTRY ANALYSIS 51

4.1 DESIGN ARCHITECTURE 52

4.1.1 NO ONE-FIT-ALL DESIGN AND ARCHITECTURE 52

4.1.2 MICROGRID STANDARD –IEEE 1547.4 56

4.1.2.1 Positive developments in standardization, guidelines for islanding & distributed generation 56

4.1.3 MICROGRID TOPOLOGY 56

4.1.3.1 Popular architecture analysis 56

4.1.3.1.1 Institutional microgrids 57

4.1.3.1.2 Military based microgrid 57

4.1.3.1.3 Remote microgrid 57

4.1.4 MICROGRID OPERABILITY/ A CASE STUDY 59

4.1.5 MICROGRID TECHNOLOGIES 60

4.1.6 MICROGRID FUEL CELLS 62

4.1.6.1 Fuels cells- a dominant generation source but a declining future market 62

4.1.7 MICROGRID SOLAR PHOTOVOLTAIC (PV) SYSTEMS 63

4.1.7.1 Promising technology for microgrid 63

4.1.8 MICROGRID WIND TURBINE SYSTEMS 65

4.1.8.1 Potential market for microgrid – small wind turbine 65

4.1.9 MICROGRID – POWER GENERATORS 66

4.2 INDUSTRY SEGMENTS & VALUE CHAIN 68

4.2.1 MICROGRID VALUE CHAIN 68

4.2.1.1 Evolving yet competitive ecosystem 68

4.2.2 CORE INDUSTRY SEGMENTS 69

4.2.2.1 Solar PV film manufacturers 69

4.2.2.2 Wind turbine manufacturers 71

4.2.2.3 Control system component manufacturers 72

4.2.2.4 Microgrid control system manufacturers 73

4.2.2.5 Battery & energy storage suppliers 75

4.2.2.6 Microgrid assemblers/utilities 75

4.2.2.7 Macro-grid (traditional and smart ) power systems and utility players 75

4.2.3 OTHER INDUSTRY SEGMENTS (ECOSYSTEM) 77

4.2.3.1 Software suppliers 77

4.2.3.1.1 Increasing role of software firms in control operation 77

4.2.3.2 Research & developments activities 77

4.2.3.2.1 R&D activities in Europe 77

4.2.3.2.1.1 The European Union (EU) microgrid research project 77

4.2.3.2.2 R&D activities in the U.S. 78

4.2.3.2.2.1 CERTS microgrid research 78

4.2.3.2.2.2 GE global research 79

4.2.3.2.2.3 Others 79

4.2.3.2.3 R&D activities in Canada 80

4.2.3.2.4 R&D activities in Japan 81

5 MARKET, BY TECHNOLOGY 82

5.1 MARKET, BY COMPONENTS 83

5.1.1 MICROGRID ELECTRICAL SWITCH GEARS MARKET 84

5.1.1.1 Microgrid presents a growth opportunity for LV switchgear & MV switchgear 84

5.1.2 POWER INVERTERS MARKET 86

5.1.2.1 Pressing case for PV inverter & micro-inverter 86

5.1.3 MICRO-GRID ENERGY STORAGE SYSTEMS MARKET 90

5.1.3.1 Micro-grid to boost grid-based energy storage device market to grow at 24.0% CAGR 90

5.1.3.2 Storage technologies 91

5.1.3.3 Batteries 94

5.1.3.4 Flywheels 96

5.1.3.4.1 Microgrid to contribute ~ 4.0% of flywheel market revenue in 2022 96

5.1.3.5 Superconducting magnetic storage 97

5.1.3.6 Supercapacitors 98

5.1.4 MICRO-GRID SMART METERS MARKET 98

5.1.4.1 Smart meter shipment in microgrid expected to grow at staggering CAGR of 40.0% 98

5.1.5 MICROGRID CHP MARKET 101

5.1.5.1 Microgrid microturbine market 102

5.1.5.2 Microgrid reciprocating engine market 103

5.2 MARKET, BY POWER TECHNOLOGY 104

5.2.1 PV CELLS IN MICRO-GRID TO GROW AT A CAGR OF 29.42% FROM 2013-2022 104

5.3 TECHNOLOGIES TRENDS IN MICROGRIDS 108

5.3.1 TECHNOLOGY ROADMAPS 108

5.3.2 SMALL MODULAR REACTORS (SMRS) 109

5.3.2.1 SMR poised to be a reckoning force in micro-grid technologies 109

5.3.3 MICROGRID – COMBINED HEAT AND POWER (CHP) 110

6 MARKET, BY CHARACTERISTICS 111

6.1 INTRODUCTION 112

6.1.1 HIGH GROWTH FORECAST ACROSS ALL TYPES OF MICRO-GRID, WITH HYBRID GROWING AT THE HIGHEST RATE 112

6.1.2 MARKET, BY TYPES 114

6.1.2.1 Hybrid microgrid market likely to grow at the highest CAGR 114

6.1.2.2 Grid-connected microgrid market 115

6.1.2.2.1 Grid-connected microgrid capacity to more than double in North America 115

6.1.2.3 Remote or off-grid or isolated micro-grid market 119

6.1.2.4 Hybrid microgrid market 121

6.1.3 MARKET, BY CONSUMPTION PATTERN 122

6.1.3.1 Rural/Island micro-grid to grow eight folds, by 2022 122

6.1.3.2 Urban & Metropolitan micro-grid 124

6.1.3.3 Semi-Urban Microgrid 126

6.1.3.4 Rural/Island micro-grid 127

7 MARKET, BY APPLICATION 128

7.1 INTRODUCTION 129

7.1.1 CAMPUS/INSTITUTIONAL ENVIRONMENT TO HAVE HIGHEST INSTALLED CAPACITY OF MICROGRID, BY 2022 129

7.1.2 CAMPUS/ INSTITUTIONAL 134

7.1.2.1 Educational/Residential 135

7.1.2.2 Government buildings 136

7.1.2.3 Research organizations 137

7.1.3 COMMERCIAL 138

7.1.3.1 Healthcare 140

7.1.3.2 Data canters & telecom infrastructure 141

7.1.3.3 Industrial sector 142

7.1.4 DEFENSE & MILITARY BASED 144

7.1.4.1 Defense establishments 145

7.1.4.2 Expeditionary power applications 147

7.1.5 OTHERS 148

8 MARKET, BY GEOGRAPHY 149

8.1 INTRODUCTION 149

8.1.1 APAC MARKET FOR MICRO-GRID ESTIMATED TO GROW AT A CAGR OF 25.46% FROM 2013-2022 149

8.1.2 NORTH AMERICA 151

8.1.2.1 U.S. 153

8.1.2.2 Canada 155

8.1.2.3 PESTLE Analysis 156

8.1.3 EUROPE 158

8.1.3.1 U.K. 159

8.1.3.2 Germany 160

8.1.3.3 PESTLE Analysis 160

8.1.4 APAC 161

8.1.4.1 China 162

8.1.4.2 Japan 163

8.1.4.3 Russia 163

8.1.4.4 India 164

8.1.4.5 PESTLE Analysis 165

8.1.5 REST OF THE WORLD 166

8.1.5.1 Brazil 167

8.1.5.2 South Africa 168

8.1.5.3 PESTLE Analysis 169

9 COMPETITIVE LANDSCAPE 171

9.1 COMPETITIVE SITUATION & TRENDS 171

9.1.1 NEW PRODUCT DEVELOPMENTS, EXPANSIONS & ANNOUNCEMENTS 171

9.1.2 AGREEMENTS, PARTNERSHIPS, JOINT VENTURES, AWARDS & COLLABORATIONS 176

9.1.3 MERGERS & ACQUISITIONS 181

10 COMPANY PROFILES 183

10.1 ABB LIMITED 183

10.2 ALSTOM SA 187

10.3 BLOOM ENERGY CORPORATION 192

10.4 CAPSTONE TURBINE CORPORATION 194

10.5 CHEVRON ENERGY 198

10.6 CONSOLIDATED EDISON 200

10.7 ECHELON CORPORATION 203

10.8 GE ENERGY 208

10.9 LOCKHEED MARTIN CORPORATION 213

10.10 MERA GAO POWER 217

10.11 MICROGRID ENERGY LLC 219

10.12 PARETO ENERGY 221

10.13 PI ENCORP LLC 223

10.14 POWER ANALYTICS CORPORATION 225

10.15 SAN DIEGO GAS & ELECTRIC COMPANY 228

10.16 SIEMENS AG 231

10.17 SPIRAE INC 235

10.18 VESTAS WIND SYSTEMS A/S 237

10.19 VIRIDITY ENERGY 242

10.20 ZBB ENERGY CORPORATION 244

LIST OF TABLES

TABLE 1 ASSUMPTIONS TABLE 27

TABLE 2 GLOBAL MICROGRID DRIVERS, BY ESTABLISHMENT 43

TABLE 3 UTILITY ELECTRICITY DISTRIBUTION INFRASTRUCTURE AGE IN NEW YORK, U.S. 45

TABLE 4 PV MICROGRID CHALLENGES AND RECOMMENDATION 64

TABLE 5 GLOBAL DIESEL AND GAS GENERATOR MARKET SNAPSHOT 67

TABLE 6 HIGH PRIORITY R&D PROJECTS 80

TABLE 7 GLOBAL MICROGRID COMPONENTS MARKET REVENUE, 2012 – 2022 ($MILLION) 83

TABLE 8 GLOBAL MICRO-GRID SWITCHGEARS MARKET REVENUE, 2012 – 2022 ($MILLION) 85

TABLE 9 GLOBAL PV INVERTER MARKET, 2012 – 2022 87

TABLE 10 PV INVERTER MARKET REVENUE, BY GEOGRAPHY, 2012 – 2022 ($MILLION) 87

TABLE 11 MICRO-INVERTER MARKET SHIPMENTS AND REVENUE, 2012 – 2022 89

TABLE 12 PV MICRO-INVERTER MARKET SHIPMENTS AND REVENUE, 2012 – 2022 89

TABLE 13 MANUFACTURED GRID BASED ENERGY STORAGE DEVICE MARKET REVENUE, 2012 – 2022 ($MILLION) 92

TABLE 14 PALMDALE WATER DISTRICT POWER SYSTEM CAPACITY SNAPSHOT 94

TABLE 15 MICRO-GRID EMERGING BATTERIES MARKET REVENUE, 2012 – 2022 ($MILLION) 95

TABLE 16 FLYWHEELS MICRO-GRID MARKET REVENUE ($MILLION), 2012 – 2022 97

TABLE 17 GLOBAL SMART-METERS MARKET REVENUE ($MILLION) AND VOLUME (MILLION UNITS), 2012 – 2022 98

TABLE 18 GLOBAL SMART-METERS ELECTRONICS MARKET REVENUE, 2012 – 2022 ($MILLION) 99

TABLE 19 GLOBAL SMART-METERS IN MICRO-GRIDS MARKET VOLUME, 2012 – 2022 (MILLION UNITS) 100

TABLE 20 GLOBAL SMART-METER IN MICRO-GRIDS MARKET REVENUE, 2012 – 2022 ($MILLION) 100

TABLE 21 GLOBAL SMART-METER ELECTRONICS IN MICRO-GRIDS MARKET REVENUE, 2012 – 2022 ($MILLION) 101

TABLE 22 CHP MICRO-GRID MARKET REVENUE ($BILLION) AND CAPACITY (MW), 2012 – 2022 102

TABLE 23 MICROTURBINE MICRO-GRID MARKET REVENUE ($MILLION) AND CAPACITY (MW), 2012 – 2022 103

TABLE 24 RECIPROCATING ENGINES MICRO-GRID MARKET REVENUE ($MILLION) AND CAPACITY (MW), 2012 – 2022 104

TABLE 25 GLOBAL MICRO-GRID POWER CAPACITY (MW), BY TECHNOLOGY, 2012 – 2022 105

TABLE 26 DIESEL GENSET/FUEL CELLS BASED MICRO-GRID CAPACITY (MW), BY GEOGRAPHY, 2012 – 2022 106

TABLE 27 PV-BASED MICROGRID CAPACITY (MW), BY GEOGRAPHY, 2012 – 2022 107

TABLE 28 GLOBAL MICROGRID – MARKET VALUE PER MW, 2012 – 2022 113

TABLE 29 MICRO-GRID BY TYPES, APPLICATION AREA 113

TABLE 30 GLOBAL MICRO-GRID MARKET VALUE BY TYPES, 2012 – 2022 ($MILLION) 114

TABLE 31 GLOBAL MICRO-GRID POWER CAPACITY (MW) BY TYPES, 2012 – 2022 115

TABLE 32 GLOBAL GRID-CONNECTED MICRO-GRID VALUE PER MW, 2012 – 2022 117

TABLE 33 GRID-CONNECTED MICRO-GRID VALUE PER MW, BY GEOGRAPHY, 2012 – 2022 ($MILLION) 118

TABLE 34 NORTH AMERICA: GRID – CONNECTED MICRO-GRID MARKET CAPACITY (MW), BY COUNTRY, 2012 – 2022 119

TABLE 35 GLOBAL OFF-GRID MICROGRID VALUE PER MW, 2012 – 2022 121

TABLE 36 GLOBAL HYBRID MICROGRID VALUE PER MW, 2012 – 2022 122

TABLE 37 GLOBAL MICRO-GRID POWER CAPACITY (MW), BY CONSUMPTION PATTERN, 2012 – 2022 123

TABLE 38 GLOBAL MICRO-GRID MARKET VALUE, BY CONSUMPTION PATTERN, 2012 – 2022 ($MILLION) 124

TABLE 39 GLOBAL MICRO-GRID MARKET VALUE PER MW IN URBAN/METROPOLITAN CONSUMPTION PATTERNS, 2012 – 2022 125

TABLE 40 GLOBAL MICRO-GRID MARKET VALUE PER MW IN SEMI-URBAN CONSUMPTION PATTERNS, 2012 – 2022 126

TABLE 41 GLOBAL MICROGRID MARKET VALUE PER MW IN RURAL/ISLAND CONSUMPTION PATTERNS, 2012 – 2022 127

TABLE 42 GLOBAL MICRO-GRID POWER CAPACITY (MW), BY APPLICATIONS, 2012 – 2022 132

TABLE 43 GLOBAL MICROGRID MARKET VALUE, BY APPLICATIONS, 2012 – 2022 ($MILLION) 133

TABLE 44 MICROGRID CAPACITY (MW) AND MARKET VALUE PER MW FOR CAMPUS/INSTITUTIONAL APPLICATIONS, 2012 – 2022 134

TABLE 45 MICROGRID CAPACITY FOR CAMPUS/INSTITUTIONAL (MW), BY APPLICATIONS, 2012 – 2022 135

TABLE 46 MICROGRID CAPACITY (MW) AND MARKET VALUE PER MW FOR EDUCATIONAL/RESIDENTIAL APPLICATION, 2012 – 2022 136

TABLE 47 GOVERNMENT BUILDINGS MICRO-GRID CAPACITY (MW) AND MARKET VALUE PER MW, 2012 – 2022 137

TABLE 48 RESEARCH ORGANIZATIONS MICROGRID CAPACITY (MW) AND MARKET VALUE PER MW, 2012 – 2022 138

TABLE 49 MICROGRID CAPACITY FOR COMMERCIAL (MW) BY APPLICATIONS, 2012 – 2022 139

TABLE 50 GLOBAL MICROGRID VALUE PER MW FOR COMMERCIAL APPLICATIONS, 2012 – 2022 140

TABLE 51 HEALTHCARE MICROGRID CAPACITY (MW) AND MARKET VALUE PER MW, 2012 – 2022 141

TABLE 52 DATA CENTERS & TELECOM INFRASTRUCTURE MICROGRID CAPACITY (MW) AND MARKET VALUE PER MW, 2012 – 2022 142

TABLE 53 INDUSTRIAL MICRO-GRID CAPACITY (MW) AND MARKET VALUE PER MW, 2012 – 2022 143

TABLE 54 DEFENSE & MILITARY MICROGRID POWER CAPACITY (MW), BY APPLICATIONS, 2012 – 2022 144

TABLE 55 GLOBAL MICROGRID CAPACITY (MW) AND MARKET VALUE PER MW FOR DEFENSE & MILITARY APPLICATIONS, 2012 – 2022 145

TABLE 56 DEFENSE ESTABLISHMENTS MICROGRID CAPACITY (MW) AND MARKET VALUE PER MW, 2012 – 2022 146

TABLE 57 EXPEDITIONARY POWER APPLICATIONS MICROGRID CAPACITY (MW) AND MARKET VALUE PER MW, 2012 – 2022 147

TABLE 58 GLOBAL MICROGRID REVENUE FOR ALL OTHER APPLICATIONS, 2012 – 2022 148

TABLE 59 MICROGRID POWER CAPACITY, BY GEOGRAPHY (MW), 2012 – 2022 150

TABLE 60 MICROGRID MARKET VALUE, BY GEOGRAPHY ($MILLION), 2012 – 2022 151

TABLE 61 MICROGRID MARKET VALUE PER MW FOR NORTH AMERICA, 2012 – 2022 152

TABLE 62 MICROGRID POWER CAPACITY IN NORTH AMERICA, BY COUNTRY, 2012 – 2022 153

TABLE 63 MICRO-GRID MARKET VALUE PER MW FOR U.S., 2012 – 2022 154

TABLE 64 MICROGRID MARKET VALUE PER MW FOR CANADA, 2012 – 2022 155

TABLE 65 PESTLE ANALYSIS, NORTH AMERICA 156

TABLE 66 MICRO-GRID POWER CAPACITY (MW) IN EUROPE, BY COUNTRY, 2012 – 2022 159

TABLE 67 PESTLE ANALYSIS, EUROPE 160

TABLE 68 GLOBAL MICROGRID POWER CAPACITY IN APAC BY COUNTRY, 2012 – 2022 162

TABLE 69 PESTLE ANALYSIS, APAC 165

TABLE 70 MICRO-GRID POWER CAPACITY (MW) IN ROW BY COUNTRY, 2012 – 2022 167

TABLE 71 PESTLE ANALYSIS, ROW 169

TABLE 72 NEW PRODUCT DEVELOPMENT, EXPANSIONS & ANNOUNCEMENTS, 2010 – 2012 171

TABLE 73 AGREEMENTS, PARTNERSHIPS, JOINT VENTURES, AWARDS & COLLABORATIONS, 2009 – 2012 176

TABLE 74 MERGERS & ACQUISITIONS, 2010 – 2012 181

TABLE 75 ABB: OVERALL REVENUE, 2009 – 2011 ($MILLION) 184

TABLE 76 OVERALL FINANCIALS OF ALSTOM INC, 2009 – 2011 ($MILLION) 189

TABLE 77 ALSTOM MARKET REVENUE, BY GEOGRAPHY, 2010 – 2011 ($MILLION) 189

TABLE 78 ALSTOM REVENUE, BY APPLICATION SECTOR, 2010 – 2011 ($MILLION) 190

TABLE 79 CAPSTONE TURBINE: OVERALL REVENUE, 2010 – 2012 ($MILLION) 195

TABLE 80 CAPSTONE TURBINE: REVENUE, BY GEOGRAPHIC SEGMENT, 2010 – 2012 ($MILLION) 195

TABLE 81 CAPSTONE TURBINE: REVENUE BY GEOGRAPHIC SEGMENT, 2010 – 2012 (%) 196

TABLE 82 CON EDISON: OVERALL REVENUE, 2009 - 2011 ($MILLION) 201

TABLE 83 ECHELON: OVERALL REVENUE, 2009 – 2011 ($MILLIONS) 204

TABLE 84 ECHELON: REVENUE, BY GEOGRAPHIC SEGMENTS, 2010 – 2011 ($MILLION) 204

TABLE 85 ECHELON: REVENUE, BY GEOGRAPHIC SEGMENTS, 2010 – 2011 (%) 205

TABLE 86 GE: OVERALL REVENUE, 2009 – 2011 ($BILLION) 209

TABLE 87 GE: REVENUE, BY GEOGRAPHY, 2009 – 2011 ($BILLION) 210

TABLE 88 GE: REVENUE BYGEOGRAPHIC SEGMENT, 2009 – 2011 (%) 210

TABLE 89 LOCKHEED MARTIN: OVERALL REVENUE, 2009 – 2011 ($MILLION) 214

TABLE 90 LOCKHEED MARTIN: REVENUE, BY BUSINESS SEGMENTS, 2009 – 2011 ($MILLION) 214

TABLE 91 LOCKHEED MARTIN: REVENUE, BY BUSINESS SEGMENTS, 2009 – 2011 (%) 215

TABLE 92 SIEMENS: OVERALL REVENUE, 2010 – 2012 ($BILLION) 232

TABLE 93 SIEMENS: REVENUE, BY BUSINESS SEGMENTS, 2012 ($BILLION) 232

TABLE 94 SIEMENS: REVENUE, BY BUSINESS SEGMENTS, 2012 (%) 233

TABLE 95 VESTAS WIND: OVERALL REVENUE, 2009 – 2011 ($MILLION) 238

TABLE 96 VESTAS WIND: REVENUE, BY BUSINESS SEGMENTS, 2009 – 2011 ($MILLION) 238

TABLE 97 VESTAS WIND: % SHARE, BY BUSINESS SEGMENTS, 2009 – 2011 239

TABLE 98 VESTAS WIND: MARKET REVENUE, BYGEOGRAPHY, 2010 – 2011 ($MILLION) 239

TABLE 99 VESTAS WIND: % SHARE, BY GEOGRAPHY, 2010 – 2011 240

TABLE 100 ZBB ENERGY: OVERALL REVENUE, 2010 – 2012 ($MILLION) 245

LIST OF FIGURES

FIGURE 1 MARKET SEGMENTATION, MICROGRID 25

FIGURE 2 GLOBAL MICROGRID MARKET RESEARCH METHODOLOGY 28

FIGURE 3 MARKET SIZE ESTIMATION 30

FIGURE 4 MICROGRID INSTALLED CAPACITY FORECAST 2012 – 2022,BY GEOGRAPHY 32

FIGURE 5 MICROGRID POWER CAPACITY, BY APPLICATION (MW), 2012 33

FIGURE 6 MICROGRID SCHEMATIC 37

FIGURE 7 MICROGRID INDUSTRY LIFECYCLE 39

FIGURE 8 GLOBAL MICROGRID SEGMENTATION 40

FIGURE 9 GLOBAL MICROGRID INSTALLED CAPACITY (IN MW) 41

FIGURE 10 GLOBAL MICROGRID VENDOR MARKET VALUE ($BILLION) 42

FIGURE 11 IMPACT ANALYSIS 44

FIGURE 12 IMPACT ANALYSIS 47

FIGURE 13 MICROGRID AT CSIRO ENERGY CENTER, NEWCASTLE 52

FIGURE 14 UTILITY CONNECTED MICROGRID SCHEMA 53

FIGURE 15 MICROGRID PLANNING AND DESIGN APPROACH 55

FIGURE 16 REMOTE MICROGRID, BELLA COOLA, CANADA 58

FIGURE 17 RENEWABLE ENERGY MICROGRID NETWORK 61

FIGURE 18 FUELL CELLS 62

FIGURE 19 WIND TURBINE MARKET SHARE, 2011 66

FIGURE 20 MICROGRID, VALUE CHAIN 68

FIGURE 21 SOLAR PV VALUE CAHIN 70

FIGURE 22 WIND POWER VALUE CHAIN 71

FIGURE 23 MICROGRID CONTROL SYSTEM 74

FIGURE 24 MICRO-INVERTERS APPLICATION IN SOLAR PV 88

FIGURE 25 PALMDALE WATER DISTRICT POWER SYSTEM – MICRO-GRID WITH STORAGE 93

FIGURE 26 MICRO-GRID MARKET, BY CHARACTERISTICS 112

FIGURE 27 GRID-CONNECTED MICRO-GRID DESIGN 116

FIGURE 28 SCHEMATIC OF A REMOTE MICROGRID 120

FIGURE 29 URBAN/METROPOLITAN MICROGRID NETWORK 125

FIGURE 30 MICRO-GRID, APPLICATION MARKET 130

FIGURE 31 MICRO-GRID APPLICATION MARKET FORECAST, 2012 – 2022 131

FIGURE 32 MICRO-GRID INDUSTRIAL APPLICATION SCHEMATIC 143

FIGURE 33 MICROGRID MARKET, BY GEOGRAPHY 149

FIGURE 34 BUSINESS SEGMENTS OF ALSTOM 187

To order this report:Electrical_Equipment Industry: Microgrid Market, Global Forecast & Analysis (2012 – 2022) – Focus on Renewable Power Generation, Solar Photo-voltaics, Wind Micro-Turbines, Battery, Energy Storage & Control Systems, By Types, Components & Technologies

Nicolas Bombourg

Reportlinker

Email: [email protected]

US: (805)652-2626

Intl: +1 805-652-2626

SOURCE Reportlinker

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Cultural, regulatory, environmental, political and economic (CREPE) conditions over the past decade are creating cross-industry solution spaces that require processes and technologies from both the Internet of Things (IoT), and Data Management and Analytics (DMA). These solution spaces are evolving into Sensor Analytics Ecosystems (SAE) that represent significant new opportunities for organizations of all types. Public Utilities throughout the world, providing electricity, natural gas and water, are pursuing SmartGrid initiatives that represent one of the more mature examples of SAE. We have spoken with, or attended presentations from, utilities in the United States, South America, Asia and Europe. This session will provide a look at the CREPE drivers for SmartGrids and the solution spaces used by SmartGrids today and planned for the near future. All organizations can learn from SmartGrid’s use of Predictive Maintenance, Demand Prediction, Cloud, Big Data and Customer-facing Dashboards...
All major researchers estimate there will be tens of billions devices – computers, smartphones, tablets, and sensors – connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades. With major technology companies and startups seriously embracing IoT strategies, now is the perfect time to attend @ThingsExpo in Silicon Valley. Learn what is going on, contribute to the discussions, and ensure that your enterprise is as "IoT-Ready" as it can be!
Noted IoT expert and researcher Joseph di Paolantonio (pictured below) has joined the @ThingsExpo faculty. Joseph, who describes himself as an “Independent Thinker” from DataArchon, will speak on the topic of “Smart Grids & Managing Big Utilities.” Over his career, Joseph di Paolantonio has worked in the energy, renewables, aerospace, telecommunications, and information technology industries. His expertise is in data analysis, system engineering, Bayesian statistics, data warehouses, business intelligence, data mining, predictive methods, and very large databases (VLDB). Prior to DataArchon, he served as a VP and Principal Analyst with Constellation Group. He is a member of the Boulder (Colo.) Brain Trust, an organization with a mission “to benefit the Business Intelligence and data management industry by providing pro bono exchange of information between vendors and independent analysts on new trends and technologies and to provide vendors with constructive feedback on their of...
Software AG helps organizations transform into Digital Enterprises, so they can differentiate from competitors and better engage customers, partners and employees. Using the Software AG Suite, companies can close the gap between business and IT to create digital systems of differentiation that drive front-line agility. We offer four on-ramps to the Digital Enterprise: alignment through collaborative process analysis; transformation through portfolio management; agility through process automation and integration; and visibility through intelligent business operations and big data.
There will be 50 billion Internet connected devices by 2020. Today, every manufacturer has a propriety protocol and an app. How do we securely integrate these "things" into our lives and businesses in a way that we can easily control and manage? Even better, how do we integrate these "things" so that they control and manage each other so our lives become more convenient or our businesses become more profitable and/or safe? We have heard that the best interface is no interface. In his session at Internet of @ThingsExpo, Chris Matthieu, Co-Founder & CTO at Octoblu, Inc., will discuss how these devices generate enough data to learn our behaviors and simplify/improve our lives. What if we could connect everything to everything? I'm not only talking about connecting things to things but also systems, cloud services, and people. Add in a little machine learning and artificial intelligence and now we have something interesting...
Last week, while in San Francisco, I used the Uber app and service four times. All four experiences were great, although one of the drivers stopped for 30 seconds and then left as I was walking up to the car. He must have realized I was a blogger. None the less, the next car was just a minute away and I suffered no pain. In this article, my colleague, Ved Sen, Global Head, Advisory Services Social, Mobile and Sensors at Cognizant shares his experiences and insights.
We are reaching the end of the beginning with WebRTC and real systems using this technology have begun to appear. One challenge that faces every WebRTC deployment (in some form or another) is identity management. For example, if you have an existing service – possibly built on a variety of different PaaS/SaaS offerings – and you want to add real-time communications you are faced with a challenge relating to user management, authentication, authorization, and validation. Service providers will want to use their existing identities, but these will have credentials already that are (hopefully) irreversibly encoded. In his session at Internet of @ThingsExpo, Peter Dunkley, Technical Director at Acision, will look at how this identity problem can be solved and discuss ways to use existing web identities for real-time communication.
Can call centers hang up the phones for good? Intuitive Solutions did. WebRTC enabled this contact center provider to eliminate antiquated telephony and desktop phone infrastructure with a pure web-based solution, allowing them to expand beyond brick-and-mortar confines to a home-based agent model. It also ensured scalability and better service for customers, including MUY! Companies, one of the country's largest franchise restaurant companies with 232 Pizza Hut locations. This is one example of WebRTC adoption today, but the potential is limitless when powered by IoT. Attendees will learn real-world benefits of WebRTC and explore future possibilities, as WebRTC and IoT intersect to improve customer service.
From telemedicine to smart cars, digital homes and industrial monitoring, the explosive growth of IoT has created exciting new business opportunities for real time calls and messaging. In his session at Internet of @ThingsExpo, Ivelin Ivanov, CEO and Co-Founder of Telestax, will share some of the new revenue sources that IoT created for Restcomm – the open source telephony platform from Telestax. Ivelin Ivanov is a technology entrepreneur who founded Mobicents, an Open Source VoIP Platform, to help create, deploy, and manage applications integrating voice, video and data. He is the co-founder of TeleStax, an Open Source Cloud Communications company that helps the shift from legacy IN/SS7 telco networks to IP-based cloud comms. An early investor in multiple start-ups, he still finds time to code for his companies and contribute to open source projects.
The Internet of Things (IoT) promises to create new business models as significant as those that were inspired by the Internet and the smartphone 20 and 10 years ago. What business, social and practical implications will this phenomenon bring? That's the subject of "Monetizing the Internet of Things: Perspectives from the Front Lines," an e-book released today and available free of charge from Aria Systems, the leading innovator in recurring revenue management.
The Internet of Things will put IT to its ultimate test by creating infinite new opportunities to digitize products and services, generate and analyze new data to improve customer satisfaction, and discover new ways to gain a competitive advantage across nearly every industry. In order to help corporate business units to capitalize on the rapidly evolving IoT opportunities, IT must stand up to a new set of challenges.
There’s Big Data, then there’s really Big Data from the Internet of Things. IoT is evolving to include many data possibilities like new types of event, log and network data. The volumes are enormous, generating tens of billions of logs per day, which raise data challenges. Early IoT deployments are relying heavily on both the cloud and managed service providers to navigate these challenges. In her session at 6th Big Data Expo®, Hannah Smalltree, Director at Treasure Data, to discuss how IoT, Big Data and deployments are processing massive data volumes from wearables, utilities and other machines.
P2P RTC will impact the landscape of communications, shifting from traditional telephony style communications models to OTT (Over-The-Top) cloud assisted & PaaS (Platform as a Service) communication services. The P2P shift will impact many areas of our lives, from mobile communication, human interactive web services, RTC and telephony infrastructure, user federation, security and privacy implications, business costs, and scalability. In his session at Internet of @ThingsExpo, Erik Lagerway, Co-founder of Hookflash, will walk through the shifting landscape of traditional telephone and voice services to the modern P2P RTC era of OTT cloud assisted services.
While great strides have been made relative to the video aspects of remote collaboration, audio technology has basically stagnated. Typically all audio is mixed to a single monaural stream and emanates from a single point, such as a speakerphone or a speaker associated with a video monitor. This leads to confusion and lack of understanding among participants especially regarding who is actually speaking. Spatial teleconferencing introduces the concept of acoustic spatial separation between conference participants in three dimensional space. This has been shown to significantly improve comprehension and conference efficiency.
The Internet of Things is tied together with a thin strand that is known as time. Coincidentally, at the core of nearly all data analytics is a timestamp. When working with time series data there are a few core principles that everyone should consider, especially across datasets where time is the common boundary. In his session at Internet of @ThingsExpo, Jim Scott, Director of Enterprise Strategy & Architecture at MapR Technologies, will discuss single-value, geo-spatial, and log time series data. By focusing on enterprise applications and the data center, he will use OpenTSDB as an example to explain some of these concepts including when to use different storage models.
SYS-CON Events announced today that Gridstore™, the leader in software-defined storage (SDS) purpose-built for Windows Servers and Hyper-V, will exhibit at SYS-CON's 15th International Cloud Expo®, which will take place on November 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA. Gridstore™ is the leader in software-defined storage purpose built for virtualization that is designed to accelerate applications in virtualized environments. Using its patented Server-Side Virtual Controller™ Technology (SVCT) to eliminate the I/O blender effect and accelerate applications Gridstore delivers vmOptimized™ Storage that self-optimizes to each application or VM across both virtual and physical environments. Leveraging a grid architecture, Gridstore delivers the first end-to-end storage QoS to ensure the most important App or VM performance is never compromised. The storage grid, that uses Gridstore’s performance optimized nodes or capacity optimized nodes, starts with as few a...
The Transparent Cloud-computing Consortium (abbreviation: T-Cloud Consortium) will conduct research activities into changes in the computing model as a result of collaboration between "device" and "cloud" and the creation of new value and markets through organic data processing High speed and high quality networks, and dramatic improvements in computer processing capabilities, have greatly changed the nature of applications and made the storing and processing of data on the network commonplace. These technological reforms have not only changed computers and smartphones, but are also changing the data processing model for all information devices. In particular, in the area known as M2M (Machine-To-Machine), there are great expectations that information with a new type of value can be produced using a variety of devices and sensors saving/sharing data via the network and through large-scale cloud-type data processing. This consortium believes that attaching a huge number of devic...
Innodisk is a service-driven provider of industrial embedded flash and DRAM storage products and technologies, with a focus on the enterprise, industrial, aerospace, and defense industries. Innodisk is dedicated to serving their customers and business partners. Quality is vitally important when it comes to industrial embedded flash and DRAM storage products. That’s why Innodisk manufactures all of their products in their own purpose-built memory production facility. In fact, they designed and built their production center to maximize manufacturing efficiency and guarantee the highest quality of our products.
Can call centers hang up the phones for good? Intuitive Solutions did. WebRTC enabled this contact center provider to eliminate antiquated telephony and desktop phone infrastructure with a pure web-based solution, allowing them to expand beyond brick-and-mortar confines to a home-based agent model. Download Slide Deck: ▸ Here