DREEM: A New Dynamic High-resolution Demand-side Management Model for Quantifying Benefits of Demand-flexibility in the Building Sector

A. Flamos
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Abstract

Existing climate targets suggest energy transitions that fundamentally re-envisage the electricity system. To this end, increasing shares of renewable energy sources (RES) and reducing total demand are of paramount importance. However, one of the main challenges of a transition based on a high RES penetration is integrating these variable energy sources without jeopardizing the security and the reliability of the electricity system. Key solutions forward include the introduction of demand-side management (DSM) and flexibility functions, to absorb increased shares of dispatchable RES. However, so far DSM modeling at the building sector has been proven challenging, as the distributed and fluctuating nature of the consumption behavior can lead to misleading modeling assumptions. Addressing that, this paper presents a new Dynamic high-Resolution dEmand-sidE Management (DREEM) model. The novelty of the model lies mainly in its modularity, as its integrated structure allows for the model components’ output variables to be appropriately correlated.
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DREEM:一种新的动态高分辨率需求侧管理模型,用于量化建筑行业需求灵活性的效益
现有的气候目标建议从根本上重新设想电力系统的能源转型。为此,增加可再生能源(RES)的份额和减少总需求至关重要。然而,基于高RES渗透的转型的主要挑战之一是在不危及电力系统的安全性和可靠性的情况下整合这些可变能源。未来的关键解决方案包括引入需求侧管理(DSM)和灵活性功能,以吸收可调度res的增加份额。然而,到目前为止,建筑行业的DSM建模已被证明具有挑战性,因为消费行为的分布式和波动性可能导致误导性的建模假设。针对这一问题,本文提出了一种新的动态高分辨率需求侧管理(DREEM)模型。模型的新颖性主要在于它的模块化,因为它的集成结构允许模型组件的输出变量适当地相关。
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