Abstract

Wastewater treatment plants are widely used to decrease harmful discharges to receiving water bodies. These plants are regarded as the top energy consumers by municipalities. Energy demand of a plant depends on the volume of wastewater treated, organic load and effluent quality requirement etc. In order to ensure energy efficiency in these plants, it should be focused on these parameters. In this study, the impacts of design parameters on energy cost for a dairy wastewater treatment plant were investigated. This paper aims to reveal the role of design flow on energy efficiency. An indicator parameter that is energy cost indicator has been used. This indicator was calculated for both design wastewater flow and operational wastewater flow. The results show that energy cost indicator of operational flow was higher than design flow that were 2.1x10-8 and 2.36x10-27, respectively. If plants are operated in design flows, energy cost can be decreased.

References

[1] Metcalf and Eddy. Wastewater Engineering: Treatment and Resource Recovery, 5th ed.,McGraw-Hill International Editions, Newyork, USA; 2014.
[2] Castellet-Viciano L, Torregrossa D, Hernández-Sancho F. The relevance of the designcharacteristics to the optimal operation of wastewater treatment plants: Energy costassessment J Env Mng 2018;222:275–283.
[3] Racoviceanu AI, Karney BW, Kennedy CA, Colombo AF. Life-cycle energy use andgreenhouse gas emissions inventory for water treatment systems. J Infrastruct Syst 2007;13:261–270.
[4] Yapıcıoğlu P. Greenhouse Gases Emissions Minimization of Wastewater Treatment, MScthesis, Harran University Graduate School of Natural and Applied Sciences Department ofEnvironmental Engineering, 2018; 96pp.
[5] Parravicini V, Svardal K and Krampe J. Greenhouse gas emissions from wastewatertreatment plants. Energy Procedia 2016; 97: 246–253.
[6] Rodriguez-Garcia G, Hospido A, Bagley DM, Moreira MT and Feijoo GAMethodology to estimate greenhouse gases emissions in life cycle inventories ofwastewater treatment plants. Environmental Impact Assessment Review 2012; 37:37–46.
[7] Tchobanoglous G, Burton FL, Metcalf & Eddy. Wastewater Engineering: Treatment,Disposal, and Reuse, third ed. McGraw-Hill Education, New York, 1991.
[8] Campos H, Von Sperling M. Estimation of domestic wastewater characteristics ina developing country based on socio-economic variables. Water Sci. Technol. 1996; 34:71–77.
[9] Hernandez-Sancho F, Molinos-Senante M, Sala-Garrido R. Cost modelling for wastewatertreatment processes. Desalination 2011; 268, 1–5.
[10] Standard Methods for the Examination of Water and Wastewater, 20th ed., AmericanPublic Health Association/American Water Works Association/Water EnvironmentFederation, Washington DC, USA, 1998
[11] Hernández-Sancho F, Molinos-Senante M, Sala-Garrido R. Energy efficiency in Spanishwastewater treatment plants: a non-radial DEA approach. Sci. Total Environ. 2011;409:2693–2699.
[12] Molinos-Senante M, Hernandez-Sancho F, Sala-Garrido R. Cost modeling for sludge andwaste management from wastewater treatment plants: an empirical approach for Spain.Desalin Water Treat. 2013; 51: 5414–5420.
[13] Molinos-Senante M, Sala-Garrido R, Iftimi A. Energy intensity modeling for wastewatertreatment technologies. Sci. Total Environ. 2018; 630: 1565–1572.
[14] Plumlee MH, Stanford BD, Debroux J, Hopkins DC, Snyder SA. Costs of advancedtreatment in water reclamation. Ozone Sci. Eng. 2014; 36: 485–495.
[15] Yumin W, Lei W, Yanhong F. Cost function for treating wastewater in rural regions.Desalin Water Treat. 2016; 57: 17241–17246.
[16] Silva C, Rosa MJ. Energy performance indicators of wastewater treatment: a field studywith 17 Portuguese plants. Water Sci. Technol. 2015; 72:510–519.
[17] Verrecht B, Maere T, Nopens I, Brepols C, Judd S. The cost of a large-scale hollow fibreMBR. Water Res. 2010; 44 (18): 5274–5283.