| 1. |
- Grieco, William J., et al.
(författare)
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Making smarter clean-tech investments
- 2010
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Ingår i: Chemical engineering progress. - 0360-7275 .- 1945-0710. ; 106:10, s. 38-42
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Tidskriftsartikel (refereegranskat)abstract
- The high-quality due diligence, carried out by carefully chosen teams with the right expertise, can help to inform investors about a company's ability to innovate, and succeed in the viable technologies market. A company's technology proposals and its operational competency are key areas of concern in clean-tech sector. Many clean-tech ventures are trying to compete with heavily commoditized, and in some cases heavily regulated, industries. The cost of production is the key metric that determines commercial viability. Some firms in the biofuels sector have been focusing only on microalgae lipid content, oil yield, or carbon dioxide uptake in reactor designs that are not economically viable and few companies have correctly used economic viability. The due diligence team must include science, engineering and business experts who have extensive experience in developing, building and operating large-scale manufacturing systems.
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| 2. |
- Yang, Bin, et al.
(författare)
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A novel occupant-centric stratum ventilation system using computer vision : Occupant detection, thermal comfort, air quality, and energy savings
- 2023
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Ingår i: Building and Environment. - : Elsevier. - 0360-1323 .- 1873-684X. ; 237
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Tidskriftsartikel (refereegranskat)abstract
- Traditional ventilation and air conditioning systems typically operate on a predetermined schedule with fixed operating parameters. Occupant-centric control (OCC) strategies have been proposed to reduce system operation energy consumption without sacrificing thermal comfort. Indoor occupancy detection in real time is a critical step in successfully implementing the OCC strategy. Thus, the deep learning-based computer vision method was adopted in the first step of the study, and the detection performance and camera position were analyzed in an office scenario. Next, the proposed OCC strategy was used to regulate the supply air parameters and outdoor air volume in stratum ventilation based on the monitored occupant number. The traditional static control strategy was then compared to two control strategies: constant air volume and variable air volume. Occupant detection performance results showed the mean NRMSD for the five most common relative positions of the occupants and camera was 0.1109, with sitting back to camera having the lowest accuracy. Subjective response results demonstrated that, when compared to the traditional control strategy, thermal comfort was improved by 43%-73%, perceived air quality was maintained at an acceptable level, CO2 concentration was less than 700 ppm, and energy could be saved by 2.3%-8.1%. Furthermore, the lower the occupancy, the greater the improvement in comfort and the greater the energy savings. This research focused on how the stratum ventilation system responds to dynamic changes in occupancy and provided insights into reducing unnecessary energy waste while maintaining comfort.
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