Develop a New Approach to Evaluate Energy Savings, Thermal Comfort and IAQ from Occupant-Centric Building Controls

Occupant behavior is identified as one of the key factors influencing the energy use and indoor environmental quality of the building. Occupancy-centric control is famous for its potential to save building energy without sacrificing occupants’ comfort. This study utilized two identical lab spaces, configured as typical open-plan offices, to investigate the performance of the occupancy-centric control in terms of energy-saving, indoor air quality, and thermal comfort. The results have demonstrated that occupancy-centric control could save around 28% total energy, including fan, cooling, and heating energy, with minimal impact on the air quality and thermal comfort.

CIB W040: International Surveys Considering Moisture Safety in Buildings During Design and Construction

We conducted comparative surveys of design consultants in three countries to determine current knowledge and experienced moisture problems. The study is part of the CIB W040 research roadmap needs analyses for realigning research efforts with stakeholder requirements for moisture safety. Survey results show that a third of construction projects in the last five years were affected by moisture problems, even though practitioners applied multiple preventative measures at least some of the time. Water installations caused approximately 20 % of the moisture damage. In each country, preventing moisture damage was necessary; the means to address problems varied, with no one dominating solution. Design and construction guidelines were more helpful than the building code requirements. Information is available, but designers need dedicated time and budget for implementing better moisture safety. A quantitative goal is to increase the frequency of moisture safety measures while increasing the availability of tools. The usefulness of selected measures and instruments is strongly case-specific. Subtopic analysis such as causes of moisture damage due to leaky water installations needs more detailed investigation. Further research is needed building upon the online survey results to develop intelligent tools preventing moisture damage in the design, construction, and building occupancy phases.

Privacy-Preserving Sensing and Two-Stage Building Occupancy Prediction Using Random Forest Learning

Sensing and predicting occupancy in buildings is an important task that can lead to significant improvements in both energy efficiency and occupant comfort. Rich data streams are now available that allow for machine learning-based algorithm implementation of direct and indirect occupancy estimation. We evaluate ensemble models, namely, random forests, on data collected from an 8 × 8 PIR matrix thermopile sensor with the dual goal of predicting individual cell temperature values and subsequently detecting the occupancy status. Evaluation of the method is based on a real case study deployed in an IT Hub in Bucharest, for which we have collected over three weeks of ground data, analyzed, and used it in order to predict occupancy in a room. Results show a 2–4% mean absolute percentage error for the temperature prediction and > 99% accuracy for a three-class model to detect human presence. The resulting outputs can be used by predictive building control models to optimize the commands to various subsystems. By separating the specific deployment from the system architecture and data structure, the application can be easily translated to other usage profiles and built environment entities. As compared to vision-based systems, our solution preserves privacy with improved performance when compared to single PIR or indirect estimation.

‘The petri dish and Russian roulette’: working in UK contact centres during the COVID-19 pandemic

This article analyses the dynamic interaction of SARS-CoV-2, the virus that causes the disease COVID-19, and its epidemiological characteristics, with an expansive conception of the contact centre labour process, integrating the contact centres’ socially-constructed built environment with distinctive qualities of the social organisation of work. Based on an online survey conducted in April–May 2020 of 2,226 call handlers in, largely, the telecoms and financial services sectors, it provides compelling evidence of the risks facing workers from inter alia dense building occupancy, compromised social distancing, inadequate cleansing and sanitisation, heating ventilation and air conditioning systems and from the outcomes of management control systems. A crucial element in explaining widespread virus transmissibility lies in understanding how the broader political economy that produced the dominant mass production contact centre paradigm is intertwined with its ‘inner workings’, leading to a ‘business-as-usual’ default that prioritised value-generating service continuity at the expense of any precautionary principle. The article contributes additionally by re-affirming the utility of labour process theory.