太阳能合创新的热的模型预测控制:拉脱维亚经济和环境优化的比较
Robin Roure1, David Chèze1, Mathieu Vallée1
1Univ. Grenoble Alpes, CEA, Liten, INES, 7337, Le-Bourget-du-Lac, France.
Open research Europe
|March 11, 2024
概括
这项研究优化了拉脱维亚的建筑能源系统,使用混合太阳能电池板和热. 调查结果显示,虽然成本和温室气体减排策略相似,但最大限度地利用可再生能源的经济和环境效益较低.
科学领域:
- 建筑能源系统 建筑能源系统
- 实现可再生能源的整合.
- 可持续的供暖和制冷方式
背景情况:
- 建筑占欧盟能源需求的重要部分,可再生能源解决方案的采用有限.
- 太阳地平线项目研究了热与先进太阳能电池板的合.
- 建筑物中可再生能源的整合对于欧盟的能源目标至关重要.
研究的目的:
- 在拉脱维亚确定混合PVT,燃气热和储存系统的最佳运行策略.
- 为了将成本最小化与温室气体 (GHG) 减少和可再生能源自我消费最大化进行比较.
- 评估先进模型预测控制 (MPC) 策略的性能.
主要方法:
- 使用混合整数线性编程 (MILP) 开发一个模型预测控制 (MPC) 策略.
- 纳入拉脱维亚电网环境指标和TRNSYS共模拟.
- 用于运营决策的长期热储的建模.
主要成果:
- 成本和温室气体排放优化策略显示了类似的操作方法.
- 电网时间序列的变化提供了潜在的收益.
- 最大限度地提高可再生能源的份额和自我消费导致了较低的经济和环境绩效.
结论:
- 开发的MPC战略为优化建筑能源系统提供了一种可行的方法.
- 环境指标和电网变化影响运营效率.
- 成本和温室气体减排是比仅仅最大化可再生能源自我消费更有效的优化目标.
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