Ecosystem based Opportunity Identification and Feasibility Evaluation for Demand Side Management Solutions

Zheng Ma, Kristoffer Christensen, Magnus Vaerbak, Nicolas Fatras, D. A. Howard, B. Jørgensen
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Abstract

Demand response is important to integrate renewable energy sources into the energy system, and maintain frequency stability and security of supply. Demand-side management (DSM) is essential for energy consumers to participate in demand response. The adoption of DSM solutions relies on financial incentives, technology readiness, regulatory support, but also the adoption environment and conditions that vary in different regions. However, no available method facilitates this investigation process. This paper uses a case of residential DSM solutions in Denmark to introduce an ecosystem-based instrument that can systematically identify regional needs and evaluate potential DSM solutions. The case study shows several types of DSM appliances and services have been offered to residential consumers, covering certain parts of both implicit and explicit demand response. However, none of the existing DSM solutions has fully managed to target any identified opportunities. Furthermore, three aspects should be focused for promoting the adoption of the DSM solutions: 1) financial incentives for acquiring DSM-enabled technologies; 2) adoption of distributed energy resources; and 3) big data and AI enabled automatic load control.
基于生态系统的需求侧管理解决方案的机会识别和可行性评估
需求响应对于将可再生能源纳入能源系统,维护频率稳定和供应安全具有重要意义。需求侧管理(DSM)对于能源消费者参与需求响应至关重要。采用DSM解决方案取决于财政激励、技术准备、监管支持,但也取决于不同地区的采用环境和条件。然而,没有可用的方法促进这一调查过程。本文以丹麦住宅用电需求管理解决方案为例,介绍了一种基于生态系统的工具,该工具可以系统地识别区域需求并评估潜在的用电需求管理解决方案。案例研究表明,已经向住宅消费者提供了几种类型的DSM设备和服务,涵盖了隐性和显性需求响应的某些部分。然而,现有的DSM解决方案都没有完全瞄准任何已确定的机会。此外,推动采用DSM解决方案应注重三个方面:1)获得DSM支持技术的财政激励;2)采用分布式能源;3)基于大数据和人工智能的自动负载控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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