Methodology for Energy Optimization in Wastewater Treatment Plants. Phase I: Control of the Best Operating Conditions
Abstract
:1. Introduction
- the increase in the price of electricity by more than 50% in the last 10 years for industrial consumers in Spain [5],
- high energy dependence in Spain and the EU27 with the need to import almost 75% of the energy consumed,
- the slow evolution of energy savings in the water supply and treatment sector [6],
- the increasing demands of regulators for the quality of reclaimed water, with a tendency to reach drinking water levels that require the application of more complex and advanced technologies with higher energy consumption [7].
- and the United Nations Sustainable Development Goals (SDG), with targets that Member States have agreed to pursue by 2030 [8].
2. State of the Art
2.1. Energy Consumption in WWTPs
2.2. Starting Energy Conditions at the San Pedro del Pinatar WWTP
3. Materials and Methods
3.1. Study of the Specific Energy Consumption in Each of the Individual Stages of the WWTP
3.2. Analysis of the Installation and the Main Elements of the Activated Sludge Aeration System
3.3. Tests for the Energy Optimization of a Biological Treatment Process
- Q influent is the inlet flow of wastewater to the biological reactor;
- SOTE is the standard oxygen transfer efficiency;
- ΔP is the pressure drop in air line and
- Q air is the flow of air injected into the biological reactor.
- Q is the inlet flow of wastewater to the biological reactor (m3/h);
- So is the BOD5 input (mg/L);
- V is the volume of the biological reactor (m3) and
- X is the concentration of the microorganisms in the reactor (mg/L).
- Qp is the excess sludge flow rate (m3/d)
- Xr is the concentration of microorganisms in the recirculation stream (mg/L) and
- Xp is the concentration of microorganisms in the purge stream (mg/L) (Xp = Xr).
- ➢
- Automatic control system for sludge purging according to the sludge age.
- Excess sludge flow purged to the sludge homogenization tank, inlet to the dewatering equipment.
- Concentration of solids in the biological reactor.
- Concentration of solids in the sludge purge.
- Concentration of solids in the MBR chambers to maintain the optimum minimum concentration for the correct functioning of the membranes.
- Maintaining a constant concentration of solids in the reactor. In this working mode, the SCADA will specify the desired working concentration. The control loop regulates the volume of sludge purged by adjusting the operating time of the pumps.
- Keeping the sludge age constant. In this working mode the desired sludge age will be specified in the SCADA. The control loop will regulate the volume of sludge purged by adjusting the running time of the pumps.
- ➢
- Automatic control system of the recirculation flow depending on the suspended solids.
- Q is the inlet flow of wastewater to the biological reactor (m3/d);
- Qr is the recirculation flow rate (m3/d) and
- R is the recirculation ratio, configurable by the operator according to process needs.
- Xo is the concentration of micro-organisms in raw water or influent (mg/L);
- X is the concentration of microorganisms in the biological reactor (mg/L) and
- Xr is the concentration of microorganisms in the recirculation (mg/L).
3.4. Study on Final Energy Consumption at the WWTP
4. Results
4.1. Results of the Study of the Individual Energy Consumption of the WWTP
4.2. Result of the Analysis of the Installation and Main Components of the Activated Sludge Aeration System
- High working sludge age.
- Recirculation coefficient equivalent to 400% of the water flow permeated by the membranes.
- Need to adjust oxygen requirements for stabilization.
- Optimization of air requirements.
- Study of operating conditions that may interfere with aeration efficiency.
4.3. Test Results for Energy Optimization of a Biological Treatment Process
- ➢
- Automatic control system for sludge purge depending on the age of the sludge.
- ➢
- Automatic control system of the recirculation flow depending on the suspended solids.
4.4. Result of the Study on the Final Energy Consumption of the WWTP
5. Discussion and Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References and Notes
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Lozano Avilés, A.B.; del Cerro Velázquez, F.; Llorens Pascual del Riquelme, M. Methodology for Energy Optimization in Wastewater Treatment Plants. Phase I: Control of the Best Operating Conditions. Sustainability 2019, 11, 3919. https://doi.org/10.3390/su11143919
Lozano Avilés AB, del Cerro Velázquez F, Llorens Pascual del Riquelme M. Methodology for Energy Optimization in Wastewater Treatment Plants. Phase I: Control of the Best Operating Conditions. Sustainability. 2019; 11(14):3919. https://doi.org/10.3390/su11143919
Chicago/Turabian StyleLozano Avilés, Ana Belén, Francisco del Cerro Velázquez, and Mercedes Llorens Pascual del Riquelme. 2019. "Methodology for Energy Optimization in Wastewater Treatment Plants. Phase I: Control of the Best Operating Conditions" Sustainability 11, no. 14: 3919. https://doi.org/10.3390/su11143919
APA StyleLozano Avilés, A. B., del Cerro Velázquez, F., & Llorens Pascual del Riquelme, M. (2019). Methodology for Energy Optimization in Wastewater Treatment Plants. Phase I: Control of the Best Operating Conditions. Sustainability, 11(14), 3919. https://doi.org/10.3390/su11143919