The escalating demand for sustainable air conditioning systems in buildings has catalyzed the development of green and efficient alternative air handling systems like the integrated photovoltaic/thermal regenerative desiccant cooling system (PV/T-DCS). This study investigates a multivariate optimization strategy for PV/T-DCS tailored for high-density, hot, and humid urban environments. By integrating a photovoltaic/thermal (PV/T) system with a liquid desiccant-based evaporative cooling system, the objectives of the proposed system configuration and optimization scheme include maximizing cooling capacity, minimizing energy consumption, and reducing emissions. This research executes multivariate hyperplane optimization to balance technical, environmental, energy, and financial goals by employing a novel operational strategy tested under local climatic conditions. Results indicate that the PV/T-DCS system achieves a 58.1 % reduction in energy consumption and a 61 % decrease in carbon dioxide (CO2) emissions compared to conventional systems, providing an effective cooling capacity of 22.9 kW and generating annual savings of 22,766 HKD. This optimization framework may underscore the potential of integrating renewable energy in desiccant air conditioning systems and adapting these technologies to bolster sustainability in air handling systems.

中文翻译：

---

集成光伏/热能的多变量超平面优化 – 辅助干燥剂蒸发冷却系统


对建筑物中可持续空调系统的需求不断增长，促进了绿色和高效的替代空气处理系统的发展，例如集成光伏/热再生干燥剂冷却系统 （PV/T-DCS）。本研究研究了一种针对高密度、炎热和潮湿城市环境量身定制的 PV/T-DCS 多变量优化策略。通过将光伏/热 （PV/T） 系统与基于液体干燥剂的蒸发冷却系统集成，所提出的系统配置和优化方案的目标包括最大化冷却能力、最小化能耗和减少排放。本研究通过采用在当地气候条件下测试的新型运营策略来执行多变量超平面优化，以平衡技术、环境、能源和财务目标。结果表明，与传统系统相比，PV/T-DCS 系统能耗降低了 58.1%，二氧化碳排放量减少了 61%，提供 22.9 kW 的有效制冷量，每年可节省 22,766 港元。该优化框架可能强调了将可再生能源整合到除湿剂空调系统中并采用这些技术以促进空气处理系统的可持续性的潜力。