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市場調查報告書

家庭能源管理的演進

The Evolution of Home Energy Management

出版商 Parks Associates 商品編碼 339902
出版日期 內容資訊 英文 73 Pages
商品交期: 最快1-2個工作天內
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家庭能源管理的演進 The Evolution of Home Energy Management
出版日期: 2016年02月18日 內容資訊: 英文 73 Pages
簡介

家庭能源管理可採用許多形態。

本報告提供促進家庭能源管理進化的相關技術相關調查分析、概要、推動因素、演進、預測相關的系統性資訊。

第1章 報告概要

第2章 能源管理的消費者推動因素

  • 保全/能源自給
  • 成本迴避/投資回報率 (ROI)
  • 便利性、保護、舒適

第3章 能源管理的技術、政策推動因素

  • 分散
  • 能源建模
  • 太陽能技術
  • 分散式發電政策
  • 蓄電技術

第4章 能源管理的經營模式推動因素

  • 公共事業的需量反應
  • 價格為基礎的需量反應
  • 能源市場進入

第5章 家庭能源管理的產業推動因素

  • 能源公共事業
  • 零售能源供應商
  • 智慧家庭/安全供應商
  • 智慧恆溫器廠商
  • 分散式發電、貯存產業
  • 綜合能源管理系統廠商

第6章 家庭能源管理解決方案的演進

第7章 預測

  • 預測手法與前提條件
  • 預測

第8章 影響與建議

第9章 附錄

圖表

目錄

Home energy management can take many forms. Smart meters enable numerous energy management services, smart products expand the potential for the number of devices that can be managed, and digital engagement of HEM customers continues to create new benefits for the end user. This report describes how technology will drive the evolution of home energy management.

Likely to Buy Energy-related Products in next 12 Months (2014-15)
U.S. Broadband Households

                     © Parks Associates.

“Energy providers are best positioned to providee nergy management solutions.As the consumer's preferred channel forenergysolutions, and with theability to monetize solutions through capital offsets and demand response, energy providers have a significant competitive advantager” said Eddie Accomando, Research Analyst.

Table of Contents

1.0. Report Summary

  • 1.1. Purpose of Report
  • 1.2. Scope of Report
  • 1.3. Research Approach/Sources
  • 1.4. Key Questions Addressed

2.0. Consumer Drivers of Energy Management

  • 2.1. Conservation / Energy Independence
  • 2.2. Cost Avoidance / Return on Investment
  • 2.3. Convenience, Protection and Comfort

3.0. Technology and Policy Drivers of Energy Management

  • 3.1. Disaggregation
  • 3.2. Energy Modeling
  • 3.3. Solar Technology
  • 3.4. Distributed Generation Policy
  • 3.5. Battery Storage Technology

4.0. Business Model Drivers of Energy Management

  • 4.1. Utility Demand Response Programs
  • 4.2. Pricing-Based Demand Response
  • 4.3. Energy Market Participation

5.0. Industry Drivers of Home Energy Management

  • 5.1. Energy Utilities
  • 5.2. Retail Energy Providers
  • 5.3. Smart Home / Security Providers
  • 5.4. Smart Thermostat Manufacturers
  • 5.5. Distributed Generation and Storage Industry
  • 5.6. Comprehensive Energy Management System Integrators

6.0. Evolution of Home Energy Management Solutions

7.0. Forecast

  • 7.1. Forecast Methodology and Assumptions
  • 7.2. Forecast

8.0. Implications and Recommendations

9.0. Appendix

  • 9.1. Glossary
  • 9.2. Index
  • 9.3. Image Sources

List of Figures

  • HEMS Ecosystem
  • Reasons for Residential Electricity Plan Changes
  • Relative Value of Features
  • Ownership of Energy Efficient Products
  • Average Electric Bill (2010-2014)
  • Smart Energy Device Savings (2010-2014)
  • Smart Energy Device Adoption Rate
  • Smart Energy Devices Purchased from Security Provider
  • Disaggregation Company Profiles
  • Energy Modeling Company Profiles
  • Anticipated Impact of Variable Rate Plans on Electric Bill
  • Incentives That Increase Willingness to Adopt a Variable Rate Plan
  • Profiles of Energy Aggregators
  • Home Energy Management Ecosystem
  • Electric Utility Company Profiles
  • Electricity Plan Characteristics
  • Battery Storage Company Profiles
  • Residential Storage Electronics Company Profiles
  • Future Electric Grid Terminology
  • Forecast Model
  • Forecast of Smart Thermostat Sales by Channel, 2012-2019
  • Forecast of Smart Thermostats Sold with Security Systems, 2012-2019
  • Forecast of Professionally Monitored Security Systems with Home Controls, 2014-2019
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