Abstract:Stabilization ponds are easy to operate and their maintenance is simple. Treatment is carried out naturally and they are recommended in developing countries. The main disadvantage of these systems is large land area they occupy. The aim of this study was to perform an optimization of the wastewater treatment systems in a facultative pond, considering a mathematical analysis of the methodology to determine the model constrains organic matter. Matlab optimization toolbox was used for non linear programming. A fa… Show more
“…The optimal decision is calculated using the following scenario with some parameter values collected in Sewon, Bantul WWTP as reported by previous published articles. The domestic wastewater load in ponds P1 and P2 is half of the inflow rate in the value of L0 = 4.799,6 kg/day, with a BOD degradation coefficient of 1.1% [3], a quality standard of 50 mg/L, and a wastewater inflow rate of 11238 m 3 /day in each facultative pond for one year [3]. The reference value for the efficiency of the treatment at the pond is decided to be 0.25 for ponds P1 & P2, and 0.5 for ponds P3 & P4 at any review time period t. To solve the optimization problem(5), the LINGO programming tool was run in a daily used personal computer.…”
Section: Resultsmentioning
confidence: 99%
“…(1) Optimizing wastewater processing only on four facultative ponds, we do not including the processing in the maturation pond; (2) The decision variable to be optimized is the BOD concentration parameter; (3) The data used in the model and the calculation were observed in Sewon, Bantul facultative ponds; (4) The data were taken from ponds I and II (5) The pollutant degradation process was assumed to be uniform in all ponds; (6) The quality standard value of the wastewater is taken from the government's policy, Yogyakarta Province [34]; (7) The formula to calculate the efficiency index value used in the model is based on our previous researches (see [3]); (8) The review period of time is assumed to be a day. Sewon, Bantul WWTP facility contains inlet and outlet valve, as well as four facultative and two maturation ponds (see Figure 1).…”
Section: Assumptions and Notationsmentioning
confidence: 99%
“…In these steps, it is processed in order to reduce the pollutants such as bacteria, algae & zooplankton, due to prolonged storage time [1]. In order to observe, evaluate, and optimize the pollutant degradation process in facultative ponds, researches were conducted, for example, using the following approaches: a quantitative method for coefficient analysing [2], linear programming for BOD degradation [3], an economically viable natural adsorbent materials approach for wastewater treatment [4], dynamic model for sewage treatment [5], quantitative analysis for nitrogen removal mechanism [6], maturation pond analysis [7], and an optimization model approach developed for energy saving and mitigation [8].…”
Treatment plants have been developed in many countries to handle wastewater, therefore, many pieces of researches have been conducted in order to optimize the outcomes. In this article, a mathematical optimization model was developed using quadratic programming approach to optimize the pollutant degradation at the domestic wastewater facultative stabilization ponds. The data used in this research were obtained from Sewon, Bantul wastewater treatment plant (WWTP) located in Yogyakarta, Indonesia. The proposed mathematical optimization model was formulated by maximizing the total amount of domestic wastewater processed in four facultative ponds along with the efficiency index value of the biological oxygen demand (BOD) degradation. The corresponding quadratic programming problem was solved in LINGO 18.0 optimization tool by using the generalized reduced gradient algorithm. The result led to the optimal decision which is the value of the domestic wastewater processed in each facultative pond.
“…The optimal decision is calculated using the following scenario with some parameter values collected in Sewon, Bantul WWTP as reported by previous published articles. The domestic wastewater load in ponds P1 and P2 is half of the inflow rate in the value of L0 = 4.799,6 kg/day, with a BOD degradation coefficient of 1.1% [3], a quality standard of 50 mg/L, and a wastewater inflow rate of 11238 m 3 /day in each facultative pond for one year [3]. The reference value for the efficiency of the treatment at the pond is decided to be 0.25 for ponds P1 & P2, and 0.5 for ponds P3 & P4 at any review time period t. To solve the optimization problem(5), the LINGO programming tool was run in a daily used personal computer.…”
Section: Resultsmentioning
confidence: 99%
“…(1) Optimizing wastewater processing only on four facultative ponds, we do not including the processing in the maturation pond; (2) The decision variable to be optimized is the BOD concentration parameter; (3) The data used in the model and the calculation were observed in Sewon, Bantul facultative ponds; (4) The data were taken from ponds I and II (5) The pollutant degradation process was assumed to be uniform in all ponds; (6) The quality standard value of the wastewater is taken from the government's policy, Yogyakarta Province [34]; (7) The formula to calculate the efficiency index value used in the model is based on our previous researches (see [3]); (8) The review period of time is assumed to be a day. Sewon, Bantul WWTP facility contains inlet and outlet valve, as well as four facultative and two maturation ponds (see Figure 1).…”
Section: Assumptions and Notationsmentioning
confidence: 99%
“…In these steps, it is processed in order to reduce the pollutants such as bacteria, algae & zooplankton, due to prolonged storage time [1]. In order to observe, evaluate, and optimize the pollutant degradation process in facultative ponds, researches were conducted, for example, using the following approaches: a quantitative method for coefficient analysing [2], linear programming for BOD degradation [3], an economically viable natural adsorbent materials approach for wastewater treatment [4], dynamic model for sewage treatment [5], quantitative analysis for nitrogen removal mechanism [6], maturation pond analysis [7], and an optimization model approach developed for energy saving and mitigation [8].…”
Treatment plants have been developed in many countries to handle wastewater, therefore, many pieces of researches have been conducted in order to optimize the outcomes. In this article, a mathematical optimization model was developed using quadratic programming approach to optimize the pollutant degradation at the domestic wastewater facultative stabilization ponds. The data used in this research were obtained from Sewon, Bantul wastewater treatment plant (WWTP) located in Yogyakarta, Indonesia. The proposed mathematical optimization model was formulated by maximizing the total amount of domestic wastewater processed in four facultative ponds along with the efficiency index value of the biological oxygen demand (BOD) degradation. The corresponding quadratic programming problem was solved in LINGO 18.0 optimization tool by using the generalized reduced gradient algorithm. The result led to the optimal decision which is the value of the domestic wastewater processed in each facultative pond.
“…Some mathematical models have been developed as an approach to analyze, observe and optimize the performance of the wastewater stabilization pond. For example, a linear optimization mathematical model was developed to optimize the performance of facultative pond [3]. Other approaches were performed, for example by simulating the effectiveness and purification efficiencies of the BOD [4], optimization model by minimizing the cost construction [5] by using natural adsorbent [6] and their extensions like sewage treatment in extreme area [7], analysis of nitrogen in waste stabilization ponds in the removal mechanism point of view [8] and maturation pond optimization [9].…”
In this paper, a mathematical optimization approach is used to improve the pollutant degradation process on domestic wastewater treatment stabilization ponds. The optimized process in this research is the pumping process that was modelled as a mathematical optimization problem. By using data that was collected in Sewon wastewater treatment in Yogyakarta, Indonesia, the pumping process can be optimized and the optimal decision was determined that can be applied to operate this wastewater treatment pond.
“…Many of them are using mathematical model to observe how the pollutant degradation process looks like in the view of chemical, biological and physical process aspects like a model of osmosis-nanofiltration on wastewater treatment plant [2], a model of carbonnitrogen-sulfur removal process [3], a model of nitrogen removal process [4], a model of Cyhalofop-butyl removal process [5], and mathematical models observing some factors influenced the ponds like solar irradiance levels [6], aging factor [7], decay rates of some bacterias on sludge [8], dry weather [9], energy consumption effects [7,10], and many more. Furthermore, some model application researches were also conducted to observe the performance of the wastewater treatment in some fields like domestic wastewater [11,12] and the petrochemical industry [13].…”
In this paper, we simulate a dynamical model of the algal concentration transport by using data collected in Sewon, Bantul, Yogyakarta facultative wastewater treatment ponds to analyse and evaluate the dynamic of the algal concentration. The governed dynamical model is consisting of the dynamical equation of the algal concentration that involves the inorganic carbon, nitrogen, phosphor, light intensity, temperature, and pH. The obtained research result was shown the evolution of the algal concentration in the pond based on the model. These results were used to observe the algal concentration time-by-time during the observation.
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