【Advances in Applied Energy 最新原创论文】电转热:建筑能源系统提供柔性服务的机遇

学术   科学   2025-01-02 18:30   美国  

原文信息:

Power to Heat: Opportunity of Flexibility Services Provided by Building Energy Systems

原文链接:

https://www.sciencedirect.com/science/article/pii/S2666792423000288

摘要

建筑在全球电力消费中扮演着至关重要的角色,但它们的功能正在不断的演变。建筑物不仅消耗能源,还能通过参与柔性服务(包含需求响应和分布式能源供应)成为能源生产者。然而,来自供需两侧的时空变化所引发的新的技术和社会挑战使得建筑服务日益复杂。本文提出了通过电转热技术提供柔性服务的机会,并讨论了四个关键方面:基于热惯性的定量指标、建筑柔性的模型预测控制、智能建筑的柔性系统优化以及柔性服务的应用。建筑热惯性是一个超越技术约束限制的关键因素,成为供需双方之间的桥梁。模型预测控制下的需求侧响应和基于数据驱动的热电联产对于管理建筑柔性至关重要。此外,通过需求侧交易和扰动系统优化相结合实现了柔性系统的优化。柔性服务的应用体现了需求侧交易和扰动系统优化在工程和社会学领域的结合。最后,本文探讨了建筑柔性服务技术的挑战、潜力和模式,考虑能够促进在供需两侧进行自动化运营决策的特性。

更多关于“Building Energy System”的研究请见:

https://www.sciencedirect.com/search?pub=Advances%20in%20Applied%20Energy&cid=777797&qs=Building%20Energy%20System

Abstract

Buildings play a crucial role in global electricity consumption, but their function is evolving. Rather than merely consuming energy, buildings have the potential to become energy producers through participating in flexibility services, which involve demand response and distributed energy supplies. However, the new technological and societal challenges that arise from temporal and spatial changes on both supply and demand sides make building services increasingly complex. This paper presents an opportunity for flexibility services offered by building energy systems via power-to-heat technology and discusses four key aspects: quantitative indicators based on thermal inertia, model predictive control for building flexibility, flexible system optimization for smart buildings, and applications of flexible services. Thermal inertia is a crucial factor that transcends technical constraints and serves as a bridge between the demand and supply sides. Demand-side response and data-driven cogeneration under model predictive control are essential for managing building flexibility. In addition, flexible system optimization is achieved through the combination of demand-side trading and disturbed system optimization. Applications of flexible services represent a combination of demand-side trading and disturbed system optimization in the fields of engineering and sociology. Finally, the paper explores the challenges, as well as the potential and models of building flexibility services technologies, including features that can facilitate automated operational decision-making on both the demand and supply sides.

Keywords

Building energy flexibility

Data-driven

Power to heat

Model predictive control

Smart grid


Figure 1. Structure diagram of flexibility services provided by building energy systems.

Figure 4. Flexibility sources in commercial and residential buildings.

Figure 9. Carbon emission model of the residential building.

Figure 10. Structure of smart contracting with P2P trading and fundamental steps for execution.

Figure 13. Perspectives of building flexibility services.

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