An empirical study of MEP workspace modeling approaches for 4D model-based time-space conflict analyses: Case study on the international linear collider project

2012 ◽  
Vol 17 (4) ◽  
pp. 627-637 ◽  
Author(s):  
Bonsang Koo ◽  
Jonghoon Kim ◽  
Jung-In Kim
2015 ◽  
Vol 21 (6) ◽  
pp. 824-836 ◽  
Author(s):  
Ali Saberi Derakhtenjani ◽  
José A. Candanedo ◽  
Yuxiang Chen ◽  
Vahid R. Dehkordi ◽  
Andreas K. Athienitis

2016 ◽  
Author(s):  
Keisuke Fujii ◽  
Christophe Grojean ◽  
Michael E. Peskin ◽  
Tim Barklow ◽  
Yuanning Gao ◽  
...  

Author(s):  
Catarina LELIS

The brand is a powerful representational and identification-led asset that can be used to engage staff in creative, sustainable and developmental activities. Being a brand the result of, foremost, a design exercise, it is fair to suppose that it can be a relevant resource for the advancement of design literacy within organisational contexts. The main objective of this paper was to test and validate an interaction structure for an informed co-design process on visual brand artefacts. To carry on the empirical study, a university was chosen as case study as these contexts are generally rich in employee diversity. A non-functional prototype was designed, and walkthroughs were performed in five focus groups held with staff. The latter evidenced a need/wish to engage with basic design principles and high willingness to participate in the creation of brand design artefacts, mostly with the purposeof increasing its consistent use and innovate in its representation possibilities, whilst augmenting the brand’s socially responsible values.


Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1261
Author(s):  
Christopher Gradwohl ◽  
Vesna Dimitrievska ◽  
Federico Pittino ◽  
Wolfgang Muehleisen ◽  
András Montvay ◽  
...  

Photovoltaic (PV) technology allows large-scale investments in a renewable power-generating system at a competitive levelized cost of electricity (LCOE) and with a low environmental impact. Large-scale PV installations operate in a highly competitive market environment where even small performance losses have a high impact on profit margins. Therefore, operation at maximum performance is the key for long-term profitability. This can be achieved by advanced performance monitoring and instant or gradual failure detection methodologies. We present in this paper a combined approach on model-based fault detection by means of physical and statistical models and failure diagnosis based on physics of failure. Both approaches contribute to optimized PV plant operation and maintenance based on typically available supervisory control and data acquisition (SCADA) data. The failure detection and diagnosis capabilities were demonstrated in a case study based on six years of SCADA data from a PV plant in Slovenia. In this case study, underperforming values of the inverters of the PV plant were reliably detected and possible root causes were identified. Our work has led us to conclude that the combined approach can contribute to an efficient and long-term operation of photovoltaic power plants with a maximum energy yield and can be applied to the monitoring of photovoltaic plants.


Author(s):  
Sigit Basuki Wibowo ◽  
Toshihiro Matsumoto ◽  
Shinichiro Michizono ◽  
Takako Miura ◽  
Feng Qiu ◽  
...  

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