In this paper, the predictive capacity of a wastewater treatment process model was studied to find out how well the model works and to propose its use as a tool to help improve control of effluent BOD (biochemical oxygen demand) for the wastewater treatment facility being studied. The mathematical process model for the existing facility was obtained from literature with few added modifications to accommodate certain requirements of the actual setup. A Complete Mix Flow Reactor with recycle was assumed together with Monod and Contois growth models for the microbial growth kinetics assumptions. Using historical process data from the daily operations of the plant, model parameters were estimated and then verified using linear regression. The results of the study show that the use of historical process data posed some limitations to modeling that resulted to moderate correlations between observed and predicted values for effluent BOD except for the prediction of average MLSS. Despite these observations, it was found out that Monod-based model works better than the Contois-based model for the wastewater treatment system studied.
The energy performance indices of the buildings in the two campuses of Liceo de Cagayan University were determined to address the design and utilization options in the management of building facilities to increase performance in terms of cost and service. Data on the physical, operational and environmental characteristics of the buildings were used to determine salient factors that contributed to energy usage. The mean Energy Efficiency Index for all the campus buildings was 32.3 kWh/m 2 /y and was considered as the internal benchmark for energy performance improvement for each building and the entire institution. Age of the building correlated strongly with energy utilization among the physical characteristics of the building while occupancy and occupant load correlated well for the operational characteristics of the building. Both temperature and relative humidity weakly correlated with energy utilization.
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