the-infoshop.com - The vertical markets research portal
View CartView Cart
Global Information, Inc.
US: +1-860-674-8796
EU: +32-2-535-7543
SG: +65-6223-2436
  Home | Category | Publishers | Custom Research | E-mail Alert | About Us | Contact Us | Site Map |
 

* View All Categories
View Conferences
Japanese Korean Chinese

Market Research Report

Green Mobile Networks & Base Stations Strategies, Scenarios & Forecasts 2009-2014

Published by Juniper Research Contact us : +1-860-674-8796
Published 2009/07 Content info 107 Pages
Product code JP94765
Price From  US $ 2830 Order/Price list
US $ 2830 Hard Copy
US $ 2830 PDF by E-mail (Single User License)
US $ 4050 PDF by E-Mail (Multi User Network License (2-5 Users)
US $ 6070 PDF by E-Mail (Enterprise Wide License)
Delivery Time
PDF by E-Mail
Approx. 1-2 business days
Hard Copy/CD-ROM
Approx. 3-4 business days
If you need expedited delivery, please call us.
Description TOC

Table of Contents

Glossary

Executive Summary

  • Introduction
  • What This Report Covers
  • Three Scenarios: Incremental, Progressive, Transformational
    • Scenario Comparison
      • Base Station CO2 Emissions
        • Figure ES1: CO2 Emissions (Mt) from Base Station Electricity Split by Scenario, 2008-2014
        • Table ES1: CO2 Emissions (Mt) from Base Station Electricity Split by Scenario, 2008-2014
        • Figure ES2: Base Station CO2 Emissions (kg) Per Mobile Subscriber Split by Scenario, 2008-2014
        • Table ES2: Base Station CO2 Emissions (kg) Per Mobile Subscriber Split by Scenario, 2008- 2014
      • Base Station Electricity Costs
        • Figure ES3: Base Station Electricity Costs ($m) Split by Scenario, 2008-2014
        • Table ES3: Base Station Electricity Costs ($m) Split by Scenario, 2008-2014
        • Figure ES4: Base Station Electricity Usage (kWh) Per Mobile Subscriber Per Annum Split by Scenario, 2008-2014
        • Table ES4: Base Station Electricity Usage (kWh) Per Mobile Subscriber Per Annum Split by Scenario, 2008-2014
    • Strategic Recommendations

1. The Need for Change

  • 1.1 Introduction
  • 1.2 The Global Drive for Climate Change
    • 1.2.1 United Nations Framework Convention on Climate Change (UNFCCC)
    • 1.2.2 Regional and National Legislation
      • i. European Union
        • a. RoHS & WEEE
          • RoHS Direct Impact on the Mobile Industry: The Treo 650
        • b. Carbon Trading: Obligations and Opportunities
  • 1.3 Key Drivers for Environmentally Sustainable Business Practices
    • 1.3.1 Regulatory: Existing CO2 Levels Must be Reduced to Protect the Environment
    • 1.3.2 Consumer-Driven: Environmental Considerations are Influencing Choice of Product
    • 1.3.3 Economic: The Need for Energy Efficiency
    • 1.3.4 Economic: The Rising Costs of Fossil Fuels
  • 1.4 The Industry Response: Integrated Product Policy (IPP) Pilot Project
    • Figure 1.1: ICT Impacts and Opportunities
    • Table 1.1: IPP Pilot Project Stages
  • 1.5 The Growth of the Mobile Market and Its Environmental Impact
    • 1.5.1 Mobile User Base
      • Figure 1.2: Mobile Subscriber Base (m) Split by 8 Key Regions, 2007-2014
      • Table 1.2: Mobile Subscriber Base (m) Split by 8 Key Regions, 2007-2014
    • 1.5.2 The Growing Demand for Base Stations
      • Figure1.3: Average Number of Subscribers Per Active Base Station Split by 8 Key Regions, 2014
      • Table 1.3: Average Number of Subscribers Per Active Base Station Split by 8 Key Regions, 2007-2014
      • Figure 1.4: Total Number of Active Base Stations (m) Split by 8 Key Regions, 2007-2014
      • Table 1.4: Total Number of Active Base Stations (m) Split by 8 Key Regions, 2007-2014
    • 1.5.3 CO2 Emissions Across the Mobile Industry
      • Figure 1.5: Mobile Use Phase, CO2 Emissions, 2008
      • i. Consumers
      • ii. Radio Base Station
      • iii. Network Control, Core & Data Servers
    • 1.5.4 Reducing the Footprint
      • Figure 1.6: Maintaining a Stable CO2 Footprint - Growth in Mobile Subscriber Base vs. CO2 Emissions Per User, 2008-2014
  • 1.6 Three Scenarios: Incremental, Progressive, Transformational
    • Table 1.5: Top-line Scenario-Based Forecast Assumptions
    • 1.6.1 Methodology
      • Figure 1.7 Forecast Methodology

2. Powering the Network

  • 2.1 Key Forms of Renewable Energy
    • 2.1.1 Solar Energy
    • 2.1.2 Wind
      • Figure 2.1: Wind Turbine Designs
    • 2.1.3 Other Forms of Renewable Energy
      • i. Pico-Hydro Power
      • ii. Biodiesel
      • iii. Fuel Cells
  • 2.2 Renewable Energy in Developed Markets
    • Figure 2.2: Selected Operators and Vendors, Percentage Green Electricity Utilisation, 2008
    • Table 2.1: Selected Operators and Vendors, Green Electricity Utilisation (2008) and Future Targets
  • 2.3 Renewable Energy in Developing Markets
    • Table 2.2: Energy Efficiency Comparison: Vodafone India versus Other Vodafone Companies, 2008/9
    • 2.3.1 GSMA Green Power Initiative
    • 2.3.2 Renewable Energy Deployments in Developing Markets
      • i. Case Study: Vodafone/Vodacom
      • ii. Case Study: Nokia Siemens Networks/ETC Ethiopia
        • Figure 2.3: NSN Solar Panel Array at Ethiopia Base Station
      • iii. Case Study: Safaricom
        • Figure 2.4: Huawei Wind-solar-diesel Powered BTS, Kenya
  • 2.4 Constraints on Renewable Energy
    • 2.4.1 Wind Energy
      • i. Geographic Location
      • ii. Cost
      • iii. Turbine Design Must be Optimised to Reflect Localised Conditions
    • 2.4.2 Solar Energy
      • i. Geographic Location
      • ii. Cost
        • Figure 2.5: RPI of Solar Modules, US and Europe
        • Figure 2.6: Photovoltaic Solar Energy Potential in European Countries
    • 2.4.3 Other Renewable Resources
      • i. Biodiesel
  • 2.4 Which Renewable Energy Resource?
    • 2.4.1 Developing Markets
      • Figure 2.7: Motorola Assessment Model for Network Energy Resource
        • i. Capex and Opex
        • ii. Location
        • iii. Load Requirements

3. Base Station Forecasts

  • 3.1 Base Station Deployments
    • 3.1.1 Incremental Scenario
      • Table 3.1: Incremental Scenario - Base Station Deployments Per Annum Split by 8 Key Regions, 2008-2014
      • Table 3.2: Incremental Scenario - Percentage of Deployed Base Stations Which Utilise Renewable Energy Split by 8 Key Regions, 2008-2014
      • Figure 3.1: Incremental Scenario - Annual Deployments of Base Stations Which Utilise Renewable Energy Split by 8 Key Regions, 2008-2014
      • Table 3.3: Incremental Scenario - Annual Deployments of Base Stations Which Utilise Renewable Energy Split by 8 Key Regions, 2008-2014
    • 3.1.2 Progressive Scenario
      • Table 3.4: Progressive Scenario - Base Station Deployments Per Annum Split by 8 Key Regions, 2008-2014
      • Table 3.5: Progressive Scenario - Percentage of Annual Deployments of Base Stations Which Utilise Renewable Energy Split by 8 Key Regions, 2008-2014
      • Figure 3.2: Progressive Scenario - Annual Deployments of Base Stations Which Utilise Renewable Energy Split by 8 Key Regions, 2008-2014
      • Table 3.6: Progressive Scenario - Annual Deployments of Base Stations Which Utilise Renewable Energy Split by 8 Key Regions, 2008-2014
    • 3.1.3 Transformational Scenario
      • Table 3.7: Transformational Scenario - Base Station Deployments Per Annum Split by 8 Key Regions, 2008-2014
      • Table 3.8: Transformational Scenario - Percentage of Annual Deployments of Base Stations Which Utilise Renewable Energy Split by 8 Key Regions, 2008-2014
      • Figure 3.3: Transformational Scenario- Annual Deployments of Base Stations Which Utilise Renewable Energy Split by 8 Key Regions, 2008-2014
      • Table 3.9: Transformational Scenario - Annual Deployments of Base Stations Which Utilise Renewable Energy Split by 8 Key Regions, 2008-2014
  • 3.2 Green Electricity
    • 3.2.1 Incremental Scenario
      • Table 3.10: Incremental Scenario - Percentage of Total Base Station Electricity Generated by Off-Grid Renewable Resources Split by 8 Key Regions, 2008-2014
      • Figure 3.4: Incremental Scenario - Annual Power Generation (GHz) from Off-Grid Renewable Resources Split by 8 Key Regions, 2008-2014
      • Table 3.11: Incremental Scenario - Annual Power Generation (GWh) from Off-Grid Renewable Resources Split by 8 Key Regions, 2008-2014
    • 3.2.2 Progressive Scenario
      • Table 3.12: Progressive Scenario - Percentage of Total Base Station Electricity Generated by Off-Grid Renewable Resources Split by 8 Key Regions, 2008-2014
      • Figure 3.5: Progressive Scenario - Annual Power Generation (GHz) from Off-Grid Renewable Resources Split By 8 Key Regions, 2008-2014
      • Table 3.13: Progressive Scenario - Annual Power Generation (GWh) from Off-Grid Renewable Resources Split by 8 Key Regions, 2008-2014
    • 3.2.3 Transformational Scenario
      • Table 3.14: Transformational Scenario - Percentage of Total Base Station Electricity Generated by Off-Grid Renewable Resources Split by 8 Key Regions, 2008-2014
      • Figure 3.6: Transformational Scenario - Annual Power Generation (GWh) from Off-Grid Renewable Resources Split by 8 Key Regions, 2008-2014
      • Table 3.15: Transformational Scenario - Annual Power Generation (GWh) from Off-Grid Renewable Resources Split by 8 Key Regions, 2008-2014
  • 3.3 CO2 Emissions
    • 3.3.1 Emissions from Grid Electricity
      • i. Incremental Scenario
        • Figure 3.7: Incremental Scenario - CO2 Emissions (kg/kWh) of Base Station Grid Electricity Split by 8 Key Regions, 2008-2014
        • Table 3.16: Incremental Scenario - CO2 Emissions (kg/kWh) of Base Station Grid Electricity Split by 8 Key Regions, 2008-2014
        • Figure 3.8: Incremental Scenario - On-Grid Base Stations, CO2 Emissions (Mt) Split by 8 Key Regions, 2008-2014
        • Table 3.17: Incremental Scenario - On-Grid Base Stations, CO2 Emissions (Mt) Split by 8 Key Regions, 2008-2014
      • ii. Progressive Scenario
        • Figure 3.9: Progressive Scenario - CO2 Emissions (kg/kWh) of Base Station Grid Electricity Split by 8 Key Regions, 2008-2014
        • Table 3.18: Progressive Scenario - CO2 Emissions (kg/kWh) of Base Station Grid Electricity Split by 8 Key Regions, 2008-2014
        • Figure 3.10: Progressive Scenario - On-grid Base Stations, CO2 Emissions (Mt) Split by 8 Key Regions, 2008-2014
        • Table 3.19: Progressive Scenario - On-grid Base Stations, CO2 Emissions (Mt) Split by 8 Key Regions, 2008-2014
      • iii. Transformational Scenario
        • Figure 3.11: Transformational Scenario - CO2 Emissions (kg/kWh) of Base Station Grid Electricity Split by 8 Key Regions, 2008-2014
        • Table 3.20: Transformational Scenario - CO2 Emissions (kg/kWh) of Base Station Grid Electricity Split by 8 Key Regions, 2008-2014
        • Figure 3.12: Transformational Scenario - On-Grid Base Stations, CO2 Emissions (Mt) Split by 8 Key Regions, 2008-2014
        • Table 3.21: Transformational Scenario - On-Grid Base Stations, CO2 Emissions (Mt) Split by 8 Key Regions, 2008-2014
    • 3.3.2 Emissions from Off-Grid Electricity
      • i. Incremental Scenario
        • Table 3.22: Incremental Scenario - Percentage of Base Station Electricity Derived from Diesel-Powered Off-Grid Generators Split by 8 Key Regions, 2008-2014
        • Figure 3.13: Incremental Scenario - Base Station Electricity (GWh) Derived from Diesel-Powered Off-Grid Generators Split by 8 Key Regions, 2008-2014
        • Table 3.23: Incremental Scenario - Base Station Electricity (GWh) Derived from Diesel-Powered Off-Grid Generators Split by 8 Key Regions, 2008-2014
        • Figure 3.14: Incremental Scenario - Off-Grid Base Stations, CO2 Emissions (Mt) Split by 8 Key Regions, 2008-2014
        • Table 3.24: Incremental Scenario - Off-Grid Base Stations, CO2 Emissions (Mt) Split by 8 Key Regions, 2008-2014
    • ii. Progressive Scenario
      • Table 3.25: Progressive Scenario - Percentage of Base Station Electricity Derived from Diesel-Powered Off-Grid Generators Split by 8 Key Regions, 2008-2014
      • Figure 3.15: Progressive Scenario - Base Station Electricity (GWh) Derived from Diesel-Powered Off-Grid Generators Split by 8 Key Regions, 2008-2014
      • Table 3.26: Progressive Scenario - Base Station Electricity (GWh) Derived from Diesel- Powered Off-Grid Generators Split by 8 Key Regions, 2008-2014
      • Figure 3.16: Progressive Scenario - Off-Grid Base Stations, CO2 Emissions (Mt) Split by 8 Key Regions, 2008-2014
      • Table 3.27: Progressive Scenario - Off-Grid Base Stations, CO2 Emissions (Mt) Split by 8 Key Regions, 2008-2014
    • iii. Transformational Scenario
      • Table 3.28: Transformational Scenario - Percentage of Base Station Electricity Derived from Diesel-Powered Off-Grid Generators Split by 8 Key Regions, 2008-2014
      • Figure 3.17: Transformational Scenario - Base Station Electricity (GWh) Derived from Diesel-Powered Off-Grid Generators Split by 8 Key Regions, 2008-2014
      • Table 3.29: Transformational Scenario - Base Station Electricity (GWh) Derived from Diesel-Powered Off-Grid Generators Split by 8 Key Regions, 2008-2014
      • Figure 3.18: Transformational Scenario - Off-Grid Base Stations, CO2 Emissions (Mt) Split by 8 Key Regions, 2008-2014
      • Table 3.30: Transformational Scenario - Off-Grid Base Stations, CO2 Emissions (Mt) Split by 8 Key Regions, 2008-2014
    • 3.3.3 Total Base Station CO2 Emissions 71
      • i. Incremental Scenario
        • Figure 3.19: Incremental Scenario - Total Base Station CO2 Emissions (Mt) Split by 8 Key Regions, 2008-2014
        • Table 3.31: Incremental Scenario - Total Base Station CO2 Emissions (Mt) Split by 8 Key Regions, 2008-2014
      • ii. Progressive Scenario
        • Figure 3.20: Progressive Scenario - Total Base Station CO2 Emissions (Mt) Split by 8 Key Regions, 2008-2014
        • Table 3.32: Progressive Scenario - Total Base Station CO2 Emissions (Mt) Split by 8 Key Regions, 2008-2014
      • iii. Transformational Scenario
        • Figure 3.22: Transformational Scenario - Total Base Station CO2 Emissions (Mt) Split by 8 Key Regions, 2008-2014
        • Table 3.33: Transformational Scenario - Total Base Station CO2 Emissions (Mt) Split by 8 Key Regions, 2008-2014
      • iv. Scenario Comparison
        • Figure 3.23: CO2 Emissions (Mt) from Base Station Electricity Split by Scenario, 2008-2014
        • Table 3.34: CO2 Emissions (Mt) from Base Station Electricity Split by Scenario, 2008-2014
    • 3.3.4 CO2 Emissions per Mobile Subscriber
      • Figure 3.24: Base Station CO2 Emissions (kg) Per Mobile Subscriber Split by Scenario, 2008-2014
      • Table 3.35: Base Station CO2 Emissions (kg) Per Mobile Subscriber Split by Scenario, 2008-2014

4. Enhancing the Network

  • 4.1 Introduction
    • Figure 4.1: Traditional Base Station Design
  • 4.2 How Can Power Wastage be Reduced?
    • 4.2.1 Network Planning
    • 4.2.2 Increasing Base Station Coverage/Reduce Inefficiency in PA
      • Figure 4.2: Heat Dissipation in Power Amplifier, Modulated Voltage vs. Fixed Voltage
    • 4.2.3 Reducing Air Conditioning
    • 4.2.4 Using Feederless Sites and Remote Radio Heads
      • Figure 4.3: Remote Station Configurations
      • i. Case Study: Flexi Base Stations
      • Figure 4.3: Nokia Flexi Base Stations
    • 4.2.5 Improving Efficiency Within the Cable
    • 4.2.6 Energy Saving/Standby
    • 4.2.7 Remote Monitoring
    • 4.2.8 Site Energy Efficiency
    • 4.2.9 Network Sharing

5. Base Station Power Consumption & Electricity Costs

  • 5.1 Implied Cost of Base Station Electricity
    • Figure 5.1: Global Average Implied Cost of Base Station Electricity Split by Source, 2008-2014
    • Table 5.1: Global Average Implied Cost of Base Station Electricity Split by Source, 2008-2014
  • 5.2 Power Output
    • 5.2.1 Incremental Scenario
      • Table 5.2: Incremental Scenario. Average Power Output Per Base Station (W) Split by 8 Key Regions, 2008-2014
      • Figure 5.2: Incremental Scenario - Total Mobile Base Station Power Consumption (GWh) Split by 8 Key Regions, 2008-2014
      • Table 5.3: Incremental Scenario - Total Mobile Base Station Power Consumption (GWh) Split by 8 Key Regions, 2008-2014
    • 5.3.2 Progressive Scenario
      • Table 5.4: Progressive Scenario - Average Power Output Per Base Station (W) Split by 8 Key Regions, 2008-2014
      • Figure 5.3: Progressive Scenario - Total Mobile Base Station Power Consumption (GWh) Split 8 Key Regions, 2008-2014
      • Table 5.5: Progressive Scenario - Total Mobile Base Station Power Consumption (GWh) Split by 8 Key Regions, 2008-2014
    • 5.3.3 Transformational Scenario
      • Table 5.6: Transformational Scenario - Average Power Output Per Base Station (W) Split By Key Regions, 2008-2014
      • Figure 5.4: Transformational Scenario - Total Mobile Base Station Power Consumption (GWh) Split by 8 Key Regions, 2008-2014
      • Table 5.7: Transformational Scenario - Total Mobile Base Station Power Consumption (GWh) Split by 8 Key Regions, 2008-2014
  • 5.3 Cost of Electricity
    • 5.3.1 Incremental Scenario
      • Figure 5.5: Incremental Scenario - Implied Cost per kWh ($) of Base Station Electricity Split by 8 Key Regions, 2008-2014
      • Table 5.8: Incremental Scenario - Implied Cost per kWh ($) of Base Station Electricity Split 8 Key Regions, 2008-2014
      • Figure 5.6: Incremental Scenario - Total Operator Base Station Electricity Costs ($m) Split by 8 Key Regions, 2008-2014
      • Table 5.9: Incremental Scenario - Total Operator Base Station Electricity Costs ($m) Split by 8 Key Regions, 2008-2014
      • Table 5.10: Incremental Scenario - Total Electricity Costs in Relation to Operator-Billed Revenues (%) by 8 Key Regions 2008-2014
    • 5.3.2 Progressive Scenario
      • Figure 5.7: Progressive Scenario - Implied Cost per kWh ($) of Base Station Electricity Split by 8 Key Regions, 2008-2014
      • Table 5.11: Progressive Scenario - Implied Cost per kWh ($) of Base Station Electricity Split 8 Key Regions, 2008-2014
      • Figure 5.8: Progressive Scenario - Total Operator Base Station Electricity Costs ($m) Split by 8 Key Regions, 2008-2014
      • Table 5.12: Progressive Scenario - Total Operator Base Station Electricity Costs ($m) Split by 8 Key Regions, 2008-2014
      • Table 5.13: Progressive Scenario - Total Electricity Costs in Relation to Operator-Billed Revenues (%) Split by 8 Key Regions, 2008-2014
    • 5.3.3 Transformational Scenario
      • Figure 5.9: Transformational Scenario - Implied Cost per kWh ($) of Base Station Electricity Split by 8 Key Regions, 2008-2014
      • Table 5.14: Transformational Scenario - Implied Cost per kWh ($) of Base Station Electricity Split by 8 Key Regions, 2008-2014
      • Figure 5.10: Transformational Scenario - Total Operator Base Station Electricity Costs ($m) Split by 8 Key Regions, 2008-2014
      • Table 5.15: Transformational Scenario - Total Operator Base Station Electricity Costs ($m) Split by 8 Key Regions, 2008-2014
      • Table 5.16: Transformational Scenario - Total Electricity Costs in Relation to Operator-Billed Revenues (%) Split by 8 Key Regions, 2008-2014
    • 5.3.4 Scenario Comparison
      • Figure 5.11: Base Station Electricity Costs ($m) Split by Scenario, 2008-2014
      • Table 5.17: Base Station Electricity Costs ($m) Split by Scenario, 2008-2014
    • 5.3.5 Base Station Electricity Usage by Mobile Subscriber
      • Figure 5.12: Base Station Electricity Usage (kWh) Per Mobile Subscriber Per Annum Split by Scenario, 2008-2014
      • Table 5.18: Base Station Electricity Usage (kWh) Per Mobile Subscriber Per Annum Split by Scenario, 2008-2014

6. Environmentally Sustainable Business Practice

  • 6.1 Introduction
  • 6.2 Environmental Management
    • 6.2.1 Waste Management
      • i. Network-related Waste
      • ii. Tertiary Waste
  • 6.3 Teleconferencing and Teleworking
    • 6.3.1 Case Study: TelePresence
      • Figure 6.1: Tandberg TelePresence T3 Videoconferencing Suite
  • 6.4 Greener Transport
    • 6.4.1 Greener Cars
      • i. LPG
    • 6.4.2 Offset Fleet Emissions
    • 6.4.3 Car Pooling
    • 6.4.4 Alternative Means of Travel
  • 6.5 Efficiencies in Online Data Storage
    • 6.5.1 Case Studies: AT&T
  • 6.6 Smart Networks
  • 6.7 Paperless Billing
    • Figure 6.2: Orange (France Telecom), Consumer Uptake of Paperless Billing, Fixed and Mobile Customers 2008
    • Table 6.1: Hypothetical Reduction in Paper Wastage & CO2 Emissions Based on 50% Adoption of Paperless Billing, Selected Markets
Related Report
Back to Top
Please inform me when related publications are released
InfoWatch

US: 1-860-674-8796 EU: 32-2-535-7543 SG: 65-6223-2436
The vertical markets research portal
© 2009, the-infoshop.com by Global Information, Inc. All rights reserved.