arXiv:2603.28217eess.SYcs.AI2026-03

用建筑热质量存多余太阳能,减排不靠电池。

An Optimal Battery-Free Approach for Emission Reduction by Storing Solar Surplus in Building Thermal Mass

  • 利用建筑热质量被动储能,通过调节温度设定值存储多余光伏电。
  • 模拟显示各模型碳排放均显著降低,且保持舒适度不变。
  • 适合关注建筑脱碳、无电池储能的工程师与研究者。

建筑脱碳亟需协调本地可再生能源、电网电力与热需求的先进控制策略。现有方法多依赖需求侧管理或主动储能(如电池),前者常忽略碳排放目标,易导致电网过载;后者则存在环境、寿命和成本问题。为此,本文提出一种最优碳感知优化策略,利用建筑热质量作为被动储能,无需专用电池。当可再生能源过剩时,策略在舒适度范围内动态调整室内温度设定值,以最优比例存储多余电力。该方法综合考虑建筑能耗、光伏产出及随时间变化的电网碳强度预测,实现碳意识型负荷转移。通过三个不同热质量的TRNSYS模型仿真验证,所有案例均显示相较于未利用可再生余量的基准方案,电网电力消耗明显减少。结果表明,基于热质量的控制对建筑脱碳具有巨大潜力。

原文摘要 · Abstract (English)

Decarbonization in buildings calls for advanced control strategies that coordinate on-site renewables, grid electricity, and thermal demand. Literature approaches typically rely on demand side management strategies or on active energy storage, like batteries. However, the first solution often neglects carbon-aware objectives, and could lead to grid overload issues, while batteries entail environmental, end-of-life, and cost concerns. To overcome these limitations, we propose an optimal, carbon-aware optimization strategy that exploits the building's thermal mass as a passive storage, avoiding dedicated batteries. Specifically, when a surplus of renewable energy is available, our strategy computes the optimal share of surplus to store by temporarily adjusting the indoor temperature setpoint within comfort bounds. Thus, by explicitly accounting for forecasts of building energy consumption, solar production, and time-varying grid carbon intensity, our strategy enables emissions-aware load shifting while maintaining comfort. We evaluate the approach by simulating three TRNSYS models of the same system with different thermal mass. In all cases, the results show consistent reductions in grid electricity consumption with respect to a baseline that does not leverage surplus renewable generation. These findings highlight the potential of thermal-mass-based control for building decarbonization.

建筑脱碳热质量储能碳感知控制

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