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市場調査報告書
レポートカテゴリー
   グリ−ンIT    発電    自動車
   ファシリティ    政策    材料・NANO・電池
   スマートグリッド    その他    エネルギーハーベスティング
スマートシティ:戦略、エネルギー、二酸化炭素排出量、コスト削減
Smart Cities Strategies, Energy, Emissions & Cost Savings 2014-2019
■商品番号 juniperjan06 ■出版日 2015-01-06
■出版社 Juniper Research ■ページ数 158
■図表数 お問い合わせください ■価格 EUR 1,750
■商品形態 電子媒体    
注:外貨表示の価格は購入申込日のTTSレートで換算し、消費税を加えたものが商品の購入価格になります。
レポート概要
この調査レポートは、世界のスマートシティ市場を詳細に調査し、市場に関する解説や詳細な予測な結果などを掲載しています。

概要
スマートグリッド、交通、照明
詳細な予測結果を4つの章で提供
技術状況と実現戦略

主な掲載内容(目次より抜粋)
1. スマートシティとは
2. スマートシティの構成要素と市場環境
3. スマートシティの利害関係者
4. スマートシティ:技術入門
5. スマートシティ予測:人口、電力、二酸化炭素、サマリー
6. スマートシティ:スマートグリッド予測
7. スマートシティ:高度交通管理と駐車場予測
8. スマートシティ:スマート街灯予測

Overview

" Smart Grid, Traffic & Lighting Focus
" 4 Detailed Forecast Chapters
" Technology Landscape & Implementation Strategies

This first edition of Juniper Research’s report on Smart Cities provides must-read analysis of the emerging smart city landscape, together with a comprehensive suite of 5 year calculated projections which assess the anticipated opportunity to 2019. It includes an extensive analysis of the strategies and technologies employed in ongoing smart city initiatives, along with an in-depth focus on the savings potential of the smart city in terms of costs, energy and GHG (greenhouse gas) emissions. These savings are critical in light of large projected increases in global cities’ populations, where both resources and infrastructure are put under increasing strain.

The report’s associated IFxl (Interactive Forecast Excel) contains all regional and sector forecasts from this report, together with additional country level forecasts for Canada, China, Denmark, Germany, Japan, Norway, Portugal, Spain, Sweden, US, and UK.

What This Report Covers

The Drive towards Efficiency

This report explores how a combination of factors, including increases in urban population and concerns over rising levels of GHGs have driven the desire for greater efficiency in the delivery of resources and process execution. Owing to advances in technology and the proliferation of ubiquitous connectivity, it is now possible to achieve this through a combination of sensor networks, citizen, agency and partner participation and intelligent data analytics.

With particular focus on the Smart Grid, Smart Traffic Management & Parking, and Smart Street Lighting, Juniper investigates market drivers, hurdles and savings opportunities facing stakeholders. It analyses the technologies that enable efficiency gains, and the strategies that market players are employing to execute smart city projects. It also advises on best practices and the means by which opportunities can be exploited to achieve municipal goals.

New Forecast Suite

With 28 forecast tables in the report, this study provides an extensive breakdown for the smart cities market:

" City Population, Wholesale Electricity Costs, Economic Value of CO2e Emissions
" Smart Grid: Annual Energy Consumption, Smart Grid Progress, Cost, Energy & Emissions Savings achieved through city Smart Grid projects
" Smart Traffic Management & Parking: Vehicles in cities, city vehicle emissions, smart traffic management & smart parking emissions and cost savings
" Smart Street Lighting: Total city street lights, LED street lights, smart LED street lights, cost, energy & emissions savings through smart city street lighting projects


Expert Stakeholder Analysis

The report includes 12 case studies & 12 vendor profiles detailing the work of municipal vendors and stakeholders across the smart city landscape. These case studies and profiles are supplemented with exclusive interviews with key enablers, including 1Spatial, Belkin, Cisco, IBM, Opower, Marvell and McAfee, a part of Intel Security, which offer expert insight into the smart city market

Smart Cities IFxl (Interactive Forecast Excel) 2014-2019

Juniper Research’s highly granular IFxls enable clients to manipulate Juniper’s forecast data and charts to test their own assumptions, perform what-if analysis; and compare select markets side by side in customised charts and tables. IFxls greatly increase clients’ ability both to understand a particular market and to integrate their own views into the model.

This IFxl, with 50 Tables; 9 What-if-analyses; and over 5,750 data points, provides additional market data for the following countries: Canada, China, Denmark, Germany, Japan, Norway, Portugal, Spain, Sweden, US, and UK.

Companies Referenced

Interviewed: 1Spatial, Belkin, Cisco, IBM, Marvell, McAfee, a part of Intel Security, Opower, Splunk.

Profiled: 1Spatial, ABB, Accenture, Alcatel-Lucent, Cisco, Ericsson, Hitachi, IBM, Intel, Schneider Electric, Siemens, Telef?ica.

Case Studied: ASC (Amsterdam Smart City), NICTA, Opower, SFpark.

Mentioned: 3GPP (3rd Generation Partnership Project), ABC, AGT International, Alliander, Allianz Deustchland, Altice, Apple, ASC (Amsterdam Smart City), AT&T, Azuki Systems, BBC, CEPAL (Comisi? Econ?ica para Am駻ica Latina), Citrix Systems, Cofely, Conceptwave, CSA (Cloud Security Alliance), Cyber Defense Institute, Daimlerm EnergiNet DK, EPRI (Electric Power Research Institute), Esri, Forbes, Fortum, Fybr, General Electric, Gfk, Gimbal, Grah Lighting, HDL Development, Helsingin Energia, Hortonworks, HP, increasebroadbandpseed.co.uk, Infeon Technologies, Inovus, INRIX, IRENA (International Renewable Energy Agency), ISPM, ITU (International Telecommunication Union), JRC (Joint Research Centre), KPN, Latitude Geographics, LG, Libelium, LSI, Microsoft, Mitsubishi Motors, Mizuho Bank, MobyPark, MTS, NEDO (New Energy and Industrial Technology Development Organisation), Networkedglobe.com, NICTA (National ICT Australia), NIST (National Institute of Standards and Technology), O2, Omnetric Group, Oracle, Pitney Bowes, Qualcomm, Safe Software, Samsung, SAP, SEL (Schweitzer Engineering Laboratories), Silver Spring Networks, Snowflake Software, Sony, Streetline, Target, Tata Consultancy Services, Telstra, TfL (Transport for London), TrafficLink, TransCore, Trimble, VantagePoint Captial Partners, Verizon, Veolia, VMware, World Bank, xkcd, ZigBee Alliance, Ziut.

Extra Info

ハ8 Key Regions include: North America; Latin America; West Europe; Central & East Europe; Far East & China; Indian Subcontinent; Rest of Asia Pacific and Africa & Middle East.

Key Questions

" What is the value of cost savings that can be expected from smart city projects by 2019?
" How much energy and how many GHG emissions will be saved through smart city projects?
" What strategies are being employed in smart city projects?
" What technologies are being used in smart city projects, and how can stakeholders best exploit these?
" What are the key trends shaping the smart city landscape?

目次

Table of Contents

1. What is a Smart City?

1.1 Introduction
1.2 Smart City Definition
1.3 Smart Cities: Hype or Reality?
1.3.1 Purpose-Built Cities: Case Study - Songdo, South Korea
i. Background
ii. Strategic Assessment
Figure 1.1: Songdo First World Complex
1.3.2 Purpose-Built Cities: Case Study - Masdar City, Abu Dhabi
i. Background
ii. Strategic Assessment
Figure 1.2: Centre Courtyard & Wind Tower, Masdar City
1.3.3 Case Study Assessment I
1.3.4 Retrofit Cities: Case Study - Amsterdam
i. Background
ii. Strategic Assessment
Figure 1.3: Amsterdam City Dashboard Extract
1.3.5 Retrofit Cities: Case Study  Nice vs Rio de Janeiro
i. Background
ii. Strategic Assessment
Figure 1.4: Rio Centre of Operations
1.3.6 Case Study Assessment II
1.4 Scope of the Report
Figure 1.5: Smart City Components
1.4.1 Technologies
Figure 1.6: Smart City Communications Technologies
Figure 1.7: Smart City Data Services
1.4.2 Utilities
Figure 1.8: Smart City Utilities
1.4.3 Transport Infrastructure
Figure 1.9: Smart City Transport Infrastructure
1.4.4 Buildings
Figure 1.10: Smart City Buildings
1.4.5 Conclusion
1.5 Smart City Drivers
1.5.1 Sustainability
i. Kyoto Protocol
1.5.2 Urbanisation
Figure 1.11: Crowded Metro Service in Tokyo
1.5.3 Citizen Expectations
1.5.4 Technological Innovation
1.6 Smart City Hurdles
1.6.1 Complexity
1.6.2 Standards
1.6.3 Economy
1.6.4 Challenges for Communications Infrastructure

2. Smart City Components & Market Landscape

2.1 Introduction
2.2 Utilities
2.2.1 Electricity
i. The One-Way System
Figure 2.2.1: Synchrophasor System Architecture
ii. Peak Load
iii. Electric Vehicles
Figure 2.2: EV Energy Impact: Vehicles vs Household Peak Load Factor
iv. Demand for Renewable Resource Generation
Figure 2.3: Global Map of Carbon Tax & Trading Mechanisms
v. Major Markets
Figure 2.4: European Smart Grid Investment per Capita
vi. Case Study - The Smart Grid, Denmark
Figure 2.5: Danish Smart Grid Architecture
vii. Smart Grid Constraints
Figure 2.6: Belkin Echo
viii. Opower Big Data Solutions
2.3 Transport and Road Infrastructure
2.3.1 Smart Traffic Management
Figure 2.7: IBM Commuter Pain Survey (2011)
i. Traffic Lights
Figure 2.8: AMR Road Sensor Function
Table 2.9: Road Sensor Evaluation
ii. Congestion Charging
iii. An integrated, combined approach: Singapore
2.3.2 Smart Parking
i. Performance-based Price
ii. Sensor-based Data
Figure 2.10: Smart Parking Sensor
iii. Case Study - Sensored and Sensor-less Smart Parking in San Francisco
2.3.3 Smart Street Lighting
i. LED vs Others
Table 2.11: Street Light Market
ii. LED market
Figure 2.12: EIA LED vs Legacy Lights Cost Projections
Figure 2.13: LED vs HPS Colour Rendition
iii. Case Study - Los Angeles moves to LED
iv. Adding Monitoring and Control

3. Smart City Stakeholders

3.1 Introduction
3.2 Vendor Matrix
Table 3.1: Vendor Capability Assessment Criteria
3.2.1 Limitations and Interpretation
3.2.2 Positioning Matrix Results
Figure 3.2: Smart City Vendor Scoring Matrix
Figure 3.3: Smart City Vendor Positioning Matrix
3.2.3 Vendor Groupings
i. Summary
ii. On Track Vendors
iii. Vendors Exceeding Expectations
iv. Vendors with Further Potential
3.3 Smart City Movers & Shakers
3.4 Stakeholder Analysis
3.4.1 ABB
3.4.2 Accenture
Figure 3.4: Accenture Net Revenue 2012-2014 ($bn)
3.4.3 Alcatel-Lucent
3.4.4 Cisco
Figure 3.5: Cisco Revenue 2012-2014 ($bn)
3.4.5 Ericsson
3.4.6 Hitachi
Figure 3.7: Hitachi Operating Income 2011-2013 (n)
3.4.7 IBM
Figure 3.8: IBM Analytics Platform
3.4.8 Intel
Figure 3.9: Intel Net Revenue 2011-2013 ($bn)
3.4.9 Siemens
i. Corporate Profile
3.4.10 Schneider Electric
Figure 3.11: Schneider Electric Consolidated Revenues (ャbn) 2011-2013
3.4.11 Telef?ica
Figure 3.12: Telef?ica Revenue (ャbn) 2011-2013
3.4.12 1Spatial

4. Smart Cities: A Technology Primer

4.1 Introduction
4.2 Communications Technologies
4.2.1 Wireless Technologies
i. 3G/LTE Technologies and Small Cells
Figure 4.1: Active 3G Subscribers (m) Split by 8 Key Regions 2014-2019
Figure 4.2: Active 4G Subscribers (m) Split by 8 Key Regions 2014-2019
Figure 4.3: Celluar HetNet
ii. ZigBee and Z-Wave
Table 4.4: ZigBee and Z-Wave Evaluation
Figure 4.5: Mesh Network Diagram
iii. Bluetooth
Figure 4.6: BLE Power Consumption, Libelium Waspmote Module, Single Data Transmission Frame
Figure 4.7: Bluetooth Classic OR High Speed Combined with Low Energy Stack
iv. Wireless Technology Conclusions
4.2.2 Wired Technologies
i. Broadband Internet
Figure 4.8: ADSL Download Speed vs Distance from Exchange
4.3 Data Security & Privacy
i. Public Wi-Fi
Figure 4.9: Password vs Passphrase Strength
ii. Enterprise & Municipal Data
4.4 The Internet of Things
i. IoT in Action: Sydney Harbour Bridge - NICTA
Figure 4.10: Sydney Harbour Bridge Sensor

5. Smart City Forecasts: Population, Electricity, Carbon and Summary

5.1 Introduction
5.2 Population
Figure & Table 5.1: City Population over 500,000 individuals Split by 8 Key Regions 2014-2019
5.3 Wholesale Electricity Prices
Figure & Table 5.2: Wholesale Electricity Prices ($/mwh) Split by 8 Key Regions 2014-2019
5.4 Emissions Factors
5.4.1 Electricity Generation
Table 5.3: CO2e Emissions Split by Electricity Generation Fuel
5.4.2 Internal Combustion Engine Vehicles
Table 5.4: Emissions Factor for City Vehicles, Split by 8 Key Regions (t CO2e/km)
5.5 Economic Value of CO2e
Table 5.5: CO2e Emissions Value ($/t) 2014-2019
5.6 Forecast Summary
Figure & Table 5.6: Combined Energy & CO2e Cost Savings ($m) Split by Smart City Component 2014-2019

6. Smart Cities: Smart Grid Forecasts

6.1 Introduction
Figure 6.1: Smart Grid Forecast Methodology
6.2 Assumptions
6.3 Forecasts
6.3.1 Total City Energy Consumption
Figure & Table 6.2: Annual City Energy Electricity Consumption (TWh) Split by 8 Key Regions 20142019
6.3.2 Smart Grid Development
Figure & Table 6.3: Smart Grid Progress, Year End (%) Split by 8 Key Regions 2014-2019
6.3.3 Smart Grid Energy Savings
Figure 6.4: Smart Grid Energy Savings (TWh) Split by 8 Key Regions 2014-2019
Figure 6.5: Smart Grid Enabled Cost Savings ($m) Split by 8 Key Regions 2014-2019
6.3.4 Smart Grid CO2e Savings
Figure & Table 6.6: Smart Grid CO2e Emissions Savings (MMT) Split by 8 Key Regions 2014-2019
Figure & Table 6.7: CO2e Emissions Cost Savings ($m) Split by 8 Key Regions 2014-2019
6.3.5 Total Smart Grid Energy & CO2e Cost Savings
Figure & Table 6.8: Total Smart Grid Energy & CO2e Cost Savings ($m)

7. Smart Cities: Smart Traffic Management & Parking Forecasts

7.1 Introduction
Figure 7.1: Smart Traffic Management & Smart Parking Forecast Methodology
7.2 Assumptions
7.3 Forecasts
7.3.1 Motor Vehicles in Cities
Figure & Table 7.1: Vehicles in Cities (m) Split by 8 Key Regions 2014-2019
7.3.2 City Motor Vehicle Emissions
Figure & Table 7.2: CO2e Emissions from City Vehicles (MMT) Split by 8 Key Regions 2014-2019
7.3.3 Smart Traffic Management
i. CO2e Savings
Figure & Table 7.3: Smart Traffic Management CO2e Savings (MMT) Split by 8 Key Regions 2014-2019
ii. CO2e Cost Savings
Figure & Table 7.4: Smart Traffic Management CO2e Cost Savings ($m) Split by 8 Key Regions 2014-2019
7.3.4 Smart Parking
i. CO2e Savings
Figure & Table 7.5: Smart Parking CO2e Savings (MMT) Split by 9 Key Regions 2014-2019
ii. CO2e Cost Savings
Figure & Table 7.6: Smart Parking CO2e Cost Savings ($m)
7.3.5 Total Smart Traffic Management & Smart Parking CO2e Cost Savings
Figure & Table 7.7: Smart Traffic Management & Smart Parking CO2e Cost Savings ($m) Split by 8 Key Regions 2014-2019

8. Smart Cities: Smart Street Lighting Forecasts

8.1 Introduction
Figure 8.1: Smart Street Lighting Forecast Methodology
8.2 Assumptions
8.3 Forecasts
8.3.1 Installed City Street Lights
Figure & Table 8.2: Installed City Streetlights, Year End (m) Split by 8 Key Regions 2014-2019
8.3.2 Conversion to LED
Figure & Table 8.3: LED Street Lights Installed Base (m) Split by 8 Key Regions 2014-2019
i. Energy Cost Savings
Figure & Table 8.4: Energy Cost-Savings through LED Street Light Installations ($m) Split by 8 Key Regions
ii. Emissions Savings
Figure & Table 8.5: CO2e Emissions Savings Enabled Through LED Street Lights (MMT) Split by 8 Key Regions 2014-2019
8.3.3 Conversion to Smart LED
Figure & Table 8.6: LED + Smart Controls Installed Base (m) Split by 8 Key Regions 2014-2019
Figure & Table 8.7: Additional Cost-Savings Enabled Through Smart LED Street Lighting ($m) Split by 8 Key Regions 2014-2019
i. Energy Cost Savings
ii. Emissions Savings
Figure & Table 8.8: Additional CO2e Emissions Savings Enabled by Smart LED Street Lighting (MMT) Split by 8 Key Regions 2014-2019
8.3.4 Total LED & Smart LED Energy & CO2e Cost Savings
Figure & Table 8.9: Combined Energy & CO2e Cost Savings, LED + Smart LED Street Lights ($m) Split by 8 Key Regions 2014-2019

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