Numerical optimization of integrated passive heating and cooling systems yields simple protocols for building energy decarbonization
Numerical optimization of integrated passive heating and cooling systems yields simple protocols for building energy decarbonization
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DOI：
10.1080/23744731.2019.1620578
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发表时间：
2019-06
影响因子：
1.9
通讯作者：
A. Rempel;Serena Lim
中科院分区：
文献类型：
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作者：
A. Rempel;Serena Lim
被动加热和冷却系统有可能显著减少建筑物中的空间加热和空间冷却负荷，具有最小的隐含能源投资和极低的运行能源需求。优异的性能需要可移动的隔热、可操作的遮阳、可操作的通风口和其他可调节的元件，但是用于控制它们的操作的有效方法尚未建立。特别是，相互依赖的被动加热和冷却参数的数值优化，以保持热舒适性尚未得到证明;简化的控制策略的发展尚未探索;和由此产生的负载减少尚未估计。在这里，我们调查这些问题，在规划适应性再利用的历史砖办公楼在地中海气候的加州伯克利。在现场验证的EnergyPlus模型中使用Hooke-Jeeves和粒子群优化被动系统参数，限制开发仅响应时间或温度的月度计划，我们发现被动太阳能收集的接近最佳配置和控制消除了一半以上的基线热负荷;同样，控制良好的遮阳和自然通风消除了80%的冷却负荷。总之，这些结果揭示了在这个能源密集型地区的被动空间调节资源的规模，并证明了简单，有效的操作策略，以实现大量的能源节约的力量。
Passive heating and cooling systems have the potential to reduce space-heating and space-cooling loads in buildings significantly, with minimal embodied energy investment and extremely low operational energy demand. Excellent performance requires movable insulation, operable shading, operable vents, and other adjustable elements, but effective methods for controlling their operation have not yet been established. In particular, the numerical optimization of interdependent passive heating and cooling parameters to maintain thermal comfort has not yet been demonstrated; development of simplified control strategies has not been explored; and resulting load reductions have not been estimated. Here, we investigate these problems in planning for the adaptive reuse of an historic brick office building in the Mediterranean climate of Berkeley, California. Using Hooke-Jeeves and particle-swarm optimizations of passive system parameters in a field-validated EnergyPlus model, constrained to develop monthly schedules responding only to time or temperature, we find that near-optimal configuration and control of passive solar collection eliminate over half of the baseline heating load; likewise, well-controlled shading and natural ventilation eliminate ∼80% of the cooling load. Together, these results reveal the magnitude of the passive space-conditioning resource in this energy-intensive region and demonstrate the power of simple, effective operational strategies to realize substantial energy savings.