A novel ventilation-pollution nexus framework for offsetting carbon by smart indoor spaces

该项目将专注于建立一个通风-污染联系框架，以抵消室内空间的碳排放。这项工作将：通过定义代表不同类型建筑占用的LCS部署策略，为室内空间的通风-污染关系建立框架；通过在室内空间部署低能耗/低成本传感器网络，开展实际试点研究；例如，学校/办公室/大学大楼为最终用户开发易于采用的数据处理技术，为不同空间建立通风/室内空气质量数据库。开发预测模型，使lcs得到更广泛的采用，并作为绿色创新的一部分，为决策提供信息。预期产出将包括一种工具形式的新的经核实的通风-污染联系框架和3-4份开放获取的研究出版物，以支持通风/室内空气质量各个方面的决策

This project will focus on building a ventilation-pollution nexus framework for offsetting carbon in indoor spaces. The work would: Build a framework for the ventilation-pollution nexus for indoor spaces by defining LCS deployment strategies that represent various types ofbuilding occupancy Carry out real-world pilot studies by deploying a network of low-energy/low-cost sensors in indoor spaces, e.g. schools/offices/University buildings Develop easy to adopt data processing techniques for end-users to build a ventilation/IAQ database for diverse spaces Develop a predictive model to exploit the wider adoption of LCSs and inform decision making as part of green innovation. The expected outputs would include a novel verified ventilation-pollution nexus framework in the form of a tool and 3-4 open-access research publications to support decision making in various aspects of ventilation/IAQ