Improving energy self-sufficiency in municipal wastewater treatment plant using renewable energies J.Kanga, H.J. Yanga, Y.S.Ana, D.S. Kima, W.K. Kimb, D.E. Parkc, K.J. Chaea* a R&BD Center, Kolon Global Corp., 199-5 Jeondae-Ri, Pogok-Eup, Cheoin-Gu, Yongin, Korea. b R&D Center, Halla E&C Corp., 7-19 Sincheon-Dong, Songpa-Gu, Seoul, Korea. c Smart IT Center, Kolon Benit, 41-1 Smart Tower, Joongang-Dong, Gwacheon-Si, Korea. [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected]* (corresponding author) Abstract: Increasing energy prices and concerns about global warming address the need to improve energy self-sufficiency in municipal wastewater treatment plants (WWTPs). This outline paper presents renewable energy production and energy self-sufficiency scenarios in a municipal WWTP (30,000 m3d1 ) located in Yongin, South Korea. It was assumed that 1) a 100 kW of solar photovoltaic (PV) systems are installed in the rooftop spaces in the existing buildings, 2) a 10 kW small hydropower plant is installed in the discharge outlet, and 3) a 25 Refrigeration ton (RT) heat pump is installed to recover thermal energy from treated wastewater. The energy production by PV and small hydropower were estimated by the RETScreen software while thermal energy recovery from treated wastewater was manually calculated using site-specific and heat pump specific conditions. Our results showed that a total of 486 MWh of energy production was expected when proposed systems are properly installed. The energy self-sufficiency defined as the percent ratio of renewable energy production and/or savings to the energy consumption was estimated to be 7.6% at maximum which can vary with energy consumption in the WWTP. Strategic energy mining specific to site conditions is necessary to successfully implement renewable energy facilities. Keywords: energy self-sufficiency, heat pump, hydropower, renewable energy, photovoltaics, wastewater treatment plant Introduction Municipal wastewater treatment plants (WWTPs) are among the most energyintensive facilities, representing a nexus between energy and water (Stillwell et al., 2009). Collecting, treating, and discharging municipal wastewater to acceptable water quality standards requires energy, mostly electricity, but also as natural gas or other fuels. According to the Korea Ministry of Environment (MOE), WWTPs alone comprise 0.5% of national energy consumption and the portion of WWTPs in total energy consumption becomes larger within local city and community government (MOE, 2010). Moreover, increasing population, strict discharge limits, aging structure, and possible future standard for removing pharmaceuticals and health care products in water are likely to increase energy consumption in WWTPs. Recent emphasis on global warming and climate change has brought an energy paradigm shift in WWTPs from energy consumer to producer, which is an emerging concept in the power market (Greenfield and Batstone, 2005). As a part of response to these global needs, the Korea MOE announced a commitment toward energy selfsufficiency in municipal WWTPs by 50 % until the year 2030 (MOE, 2010). The energy self-sufficiency is defined as the percent ratio of renewable energy production 1 and/or energy savings to energy consumption within WWTPs. There are two basic approaches described by the MOE to achieve the energy self-sufficiency: energy savings by improving efficiency in unit processes, and energy mining for renewable and/or unused energy (collectively referred to as “renewable” hereafter) in WWTPs. In general, the most energy-intensive components in wastewater treatment are pumping stations for sewer and activated sludge aeration powered by fans and motors, accounting for 21% and 40%, respectively, in overall energy use (MOE, 2010). Therefore, improved pumping and optimized aeration are the main components that can significantly reduce the overall energy use by 3 to 6% (Stillwell et al., 2010). Renewable and unused energies applicable to WWTPs include solar photovoltaic (PV), small hydropower, wind power, biogas production, and heat recovery from wastewater using heat pump. Among these sources, the availability of biogas production, wastewater heat, and small hydropower is site-specific while PV and wind power are relatively universal energy sources. From the 50% of energy selfsufficiency target set by the Korea MOE, solar PV was the single most influential energy source accounting for 23% followed by biogas production (16.4%). Overall achieving the 50% of energy self-sufficiency in municipal WWTPs in Korea is translated to 907 GWh/yr of energy production and 558,000 CO2 ton/yr of greenhouse gas emission. This study presents the methodology for energy mining in a municipal WWTP as a preliminary study for a field-scale demonstration project. The objectives of this study were 1) to estimate annual renewable energy production using site-specific conditions, and 2) to determine the energy self-sufficiency scenarios depending on energy production as well as energy consumption in the testing WWTP. Methodology Site description and energy mining in WWTP A municipal WWTP was selected for a field-scale demonstration project (Figure 1). The WWTP is located in Yongin, South Korea and it was accommodated with soccer field and walking trail for general public. The WWTP employs B3 (Bio Best Bacillus) treatment process that is a modified activated sludge process adopted in Korea. Most treatment facilities were placed underground below the soccer field. From our preliminary investigations, it was determined that energy production from biogas and wind power cannot be employed due to the absence of anaerobic digester and lack of wind at the site. Therefore we considered PV, small hydropower, and thermal energy from wastewater as viable energy sources in the testing WWTP. 2 Figure 1. Site layout showing potential locations for renewable energy production. Solar energy is one of the most benign electric generation resources without air or water emissions. Unlike other renewable resources such as hydroelectric and wind power, solar power has a location advantage due to the universal availability of sunlight. Rooftop in facility buildings has been used for PV installation while sedimentation and/or aeration basins in WWTPs could be additional locations for the PV installation. In this study, we assumed to install PV systems in the rooftop spaces in two facility buildings (Figure 2). The available spaces in these two buildings were determined to a total of 817 m2 that can accommodate 96 kW of mono-crystalline silicon (Si) solar modules. Additionally, we considered installing building integrated PV (BIPV) in the administration building, which can replace current windows with amorphous and transparent Si thin-film modules. The transparent thin-film BIPV modules are known to reduce energy cost and greenhouse gas emission while improving light diffusion and aesthetic appearance (Ruther et al., 2003; Maurus et al., 2004; An et al., 2010). A total of 100 kW systems (PV 96 kW + BIPV 4 kW) were assumed to be installed in the testing WWTP. Figure 2. Top-view of fixed PV systems that will be installed in the testing WWTP. Small hydropower is a collective term defined as 10,000kW or less capacity while mini (100 to 1000 kW), micro (5 to 100 kW), and pico (<5 kW) hydropower plants are further classified by design capacity. In general, small rivers and agricultural reservoirs are the main resources for the hydropower, but drinking water supply 3 facilities and WWTPs are also viewed as viable resources due to recent emphasis on developing small hydropower in existing public facilities. In this study, effluent discharge area of the WWTP was selected as a location for installing small hydropower plant as it offers the highest head between the upstream and downstream within the facilities (Figure 3). A flow rate of water (Q) and a head (H) are essential two elements in designing hydropower plant. Field leveling revealed that the gross head (Hg) from the upstream to downstream level is 4.6 m. Using effluent flow data for the past five years (2007 to 2011), we constructed a flow duration curve (FDC) for the effluent and determined a design flow for the hydraulic turbine. Figure 3. Photo of effluent discharge outlet and the results of field leveling It is well-known that wastewater could a resource of thermal energy that can be used for heating and cooling buildings with heat pump. Compared with other traditional sources of energy for heat pump (e.g., groundwater, geothermal heat, outdoor heat), wastewater from local residential drainage systems exhibits relatively high temperature because it comes from warm sources such as dishwashers, showers, and warm industrial plants. In general, the energy potential of treated wastewater is known to be higher than that of raw wastewater in a WWTP due to minimal heat exchange interference by solid matters (Schmid, 2008). Ideally, the energy in the treated wastewater can be further used for the heating of the digester tank and lowtemperature sludge drying. However, such a large energy potential of wastewater cannot be used in many WWTPs because many plants do not have anaerobic digester and/or they are located outside residential areas, in which no demand for the heating and cooling are available. In this study, heating and cooling in the administration building was assumed to be a sole demand for heating and cooling after surveying the thermal energy use in the WWTP. We also assumed that treated wastewater is routed from the end of UV disinfection facility to the administration building through a preexisting recycling water line that was a source of deforming water in the aeration basins. Figure 4 shows a schematic of wastewater heat recovery system that will be implemented in the testing WWTP. 4 Figure 4. A schematic of wastewater heat recovery system Estimation of renewable energy production Among the selected three energy sources, two involves with electric energy production (PV and small hydropower) while thermal energy production is available from treated effluent. The RETScreen Clean Energy Project Analysis Software (shortened hereafter to RETScreen) was used to simulate electric energy production while thermal energy production was manually calculated according to site-specific conditions. RETScreen is capable of assessing a total of 10 renewable energy technologies in terms of the feasibility of clean energy projects; wind energy, small hydropower, PV, ground-source heat pumps, combined heat & power, biomass heating, solar air heating, solar water heating, passive solar heating, refrigeration (Natural Resources Canada, 2003). Our analysis considered renewable energy production and potential energy savings only; the economic analysis of the proposed energy production in the WWTP, while highly relevant, was not included in this study. Photovoltaic RETScreen integrates a number of databases to assist the site assessor, including a global database of climatic conditions obtained from 4,700 ground-based stations and NASA's satellite data (Natural Resources Canada, 2003). We selected Suwon, Korea for a climate data location. Other input parameters used for simulating electric energy production by PV are presented in Table 1. A 100 kW of solar systems (PV 96 kW and BIPV 4 kW) were simulated and it was assumed that the proposed PV system feeds electrical energy directly into the electric utility grid. Table 1. Properties of photovoltaics and inverter used for RETScreen simulation PV type PV power PV efficiency Inverter Inverter capacity (kW) (%) efficiency (%) capacity (W) Mono-Si 96 14.9 95 100 A-Si 4 6.1 95 10 5 Small hydropower RETScreen provide a Small Hydro Model that can evaluate the energy production, life-cycle costs and greenhouse gas emissions reduction for central-grid, isolated-grid and off-grid small hydro projects, ranging in size from multi-turbine small and mini hydro installations to single-turbine micro hydro systems (RETScreen 2003). We assumed that a water reservoir is installed in the discharge area of the WWTP and the produced power is fed to central grid. Other input parameters used for simulating electric energy production by small hydropower are presented in Table 2. Table 2. Properties of turbine and generator used for RETScreen simulation Turbine Hydraulic Generator Turbine type Gross head (m) efficiency (%) losses (%) efficiency (%) Propeller 81 4.6 5 98 Thermal energy from treated wastewater Theoretically the thermal energy reserve from treated wastewater is estimated by: E = W ⅹ Cp ⅹ dt (1) where E = thermal energy reserve (kcal) Cp = specific heat of wastewater (kcal / kg °C) dt = temperature that can be extracted (°C) The recoverable energy for heating and cooling depends on the coefficient of performance (COP) for cooling and heating as follows: Ec = E ⅹ [COPc/(COPc + 1)] (2) Eh = E ⅹ [COPh/(COPh + 1)] (3) where Ec = recoverable energy for cooling (kcal) COPc = coefficient of performance for cooling Eh = recoverable energy for heating (kcal) COPh = coefficient of performance for heating For the calculation of the recoverable energy, it was assumed that we use a heat exchanger that extract 5°C from the warm water along with a commercial heat pump that meets performance presented in Table 3. Based on these varying COPs, we calculated the recoverable energy for cooling and heating. The survey on the thermal energy use in the administration building of the WWTP suggested that the capacity of heat pump needs to be designed at a capacity of 25 refrigeration ton (RT). We calculated the net energy production of the proposed heat recovery system by subtracting input energy from the produced thermal energy. 6 Table 3. Coefficient of performance for cooling and heating in a heat pump as a function of temperature of source water Temperature of Cooling/Heating Input energy COP source water capacity (°C) (kW) (kW) Cooling 15 to 25 107 20 5.46 25 to 32 103 23 4.42 Heating 5 to 10 106 30 3.53 10 to 15 130 32 4.12 Results and Discussion Estimation of renewable energy production Photovoltaics Designing a proper installation for PV array is a key factor in yielding maximum solar energy production. Figure 5 shows the simulated solar energy production by Azimuth when installing 96 kW of fixed type, mono-crystalline Si solar modules. Azimuth is the array’s east-west orientation in degrees. The preferred orientation should be facing the equator, where the azimuth angle is 0° (South) in the Northern Hemisphere, which is the case for South Korea. In northern hemisphere, between the latitudes of 23 and 90, the sun is always in the south (Jackson, 2007). Therefore, the modules on an array faced to south can get the most out of the sun’s energy. Figure 6 shows the simulated power production by the slope of solar collectors. The greatest power production was expected at a slope of 37.5°, which was in the range of latitude in the simulated area (Suwon, Korea). The installation of BIPV (4 kW) in the administration building was estimated to produce 4.3 MWh/yr, assuming its tiling slope at 90° (vertical) and its azimuth at -45° (i.e., 45 degrees west from the exact northward direction). Installing a total of 100 kW of proposed PV systems was estimated to produce 155 MWh/yr at maximum. Figure 5. Annual power production of 96 kW fixed PV varying in the array orientation (azimuth) 7 Figure 6. Annual energy production by PV varying in the slope of solar collectors Small Hydropower The effluent flow rate in the discharge outlet showed seasonal variations (Figure 7). Overall there was an increase in the effluent flow during summer while decreased flow rate was observed during winter. Diurnal variations were also obvious, showing a decrease in the flow rate after midnight through early morning, which reflects decreased sewer water coming into the WWTP (Figure 8). These results suggest substantial variations in the flow rates, which should be considered in determining a design flow of the small hydropower plant. Figure 7. Seasonal variations in the effluent flow rate 8 Figure 8. Diurnal variations in the effluent flow rate We selected the design flow rate at 0.35 m3/s based on the FDC plotted using the effluent flow rate data for the past five years (Figure 9). A FDC is a graphical representation of the percentage of time in the historical record that a flow of any given magnitude has been equaled or exceeded. The effluent flow rate in Figure 9 showed a relatively steady flow compared to typical FDC for river that often shows a high flow for a short time (Natural Resource Canada, 2004). The design flow for a small hydropower was determined to be a flow rate (0.35 m3/s) at which the variation of available flow became steady in the FDC. Figure 9. The flow duration curve at the discharge outlet of the testing WWTP In this study, it was assumed that a propeller turbine is installed at the discharge outlet and available power was simulated by RETScreen after selecting turbine type, design flow, and gross head as input parameters (Table 2). The RETScreen determined the power capacity of the turbine to be at 10 kW with the given conditions. Assuming 96% of system availability (i.e., approximately 15 days of downtime in a year), 5% of hydraulic loss in the water passages, and a 97% efficiency in generator, annual power production was estimated to be 57 MWh with a capacity 9 factor at 72% (i.e., the ratio of the average power produced by the hydro plant over a year to its rated power capacity). Thermal energy from treated wastewater The temperature data of treated wastewater showed seasonal variations ranging from 12 to 28 °C with a yearly mean temperature at 20°C (Figure 10). The differences between water and atmospheric temperature varied with seasons with maximum difference during winter time up to 26°C and minimum difference during summer time down to 0.4 °C. These temperature differences indicate the potential of thermal energy recovery for cooling during hot seasons (May to September) and heating during cold seasons (October to April). Figure 10. Temperature of treated wastewater and available energy for heating and cooling (year 2010 data). For the calculation of potential energy savings by the thermal energy recovery, a 25RT of heat pump with an input power (25 kW) of the heat pump compressor was assumed to be installed in the administration building. Annual energy recovery was estimated to be 660 Gcal with an assumption of year-around heat pump operation. Input energy required to operation the heat pump was estimated to be 219 KWh/yr. These results are translated to the net energy savings by 548 MWh/yr. However, in reality, the heating and cooling in the administration building may not be necessary year-around. Assuming a 50% of the system operation (i.e., 12-h operation year around), the net energy savings came down to 274 MWh/yr. Energy self-sufficiency in the testing WWTP The energy consumption in the testing WWTP showed an increase over time with a six-year average at 6,428 MWh/yr (Figure 11). The increased energy consumption was attributable to an increase in service population and more strict discharge limit on nutrients (N and P) (personal communications with operation manager). Using the simulated renewable energy production for PV and small hydropower along with a hypothetical estimation of thermal energy recovery from treated wastewater, we 10 calculated expected energy self-sufficiency in the testing WWTP (Table 4). Including thermal energy, the energy self-sufficiency was estimated to be 7.6 % when considering the six-year average energy consumption as a denominator. The expected greenhouse gas (GHG) emission reduction was estimated to be 260 ton ton CO2 /yr, which is equivalent to 60 cars not in used (assuming 4.4 ton CO2/yr per car). As a single energy source, the thermal energy recovery from wastewater appeared to be the most influential source in overall energy self-sufficiency. If the energy consumption for 2010 is used, the energy self-sufficiency decreased down to 6.4%. Figure 11. The energy consumption in the testing WWTP Table 1. Hypothetical estimation of energy self-sufficiency and greenhouse gas reduction by employing renewable energies in the testing site Electrical Thermal Photovoltaics Hydropower Treated water Total Design capacity 100 kW 10 kW 25 RT Average energy 6428 consumption (MWh/yr) Expected energy 155 57 274 486 production (MWh/yr) Energy self2.4 0.9 4.3 7.6 sufficiency (%)a GHG emission 99 32 129 23 reduction (ton CO2 /yr)b a Energy self-sufficiency (%) = (Expected energy production/total energy consumption)ⅹ100. Greenhouse gas(GHG) reduction = electrical energy replaced ⅹ GHG emission factor. The GHG for individual energy production were adapted from MOE (2010): b 11 photovoltaics 0.6405 ton CO2/MWh, hydropower 0.5649 ton CO2/MWh, geothermal (wastewater heat recovery) 0.4707 ton CO2/MWh. Conclusions The estimation of renewable energy production in a WWTP (100 kW solar PV, 10 kW small hydropower, and 25 RT heat pump) suggested that about 7 % of energy selfsufficiency is achievable when properly installed and managed. The concept of energy sufficiency proposed by the Korea MOE is a quantitative index that can measure the efforts of renewable energy implementations in the municipal WWTPs in a nationwide scale. If this self-sufficiency concept is applied to a single WWTP (e.g., 50% self-sufficiency), it would require strategic energy mining plan specific to the WWTP. Our study indicated that implementing PV in a large-scale would be a general solution to increase the energy self-sufficiency, but there could be some limitations in available spaces particularly for the WWTPs located in urban areas. In this case, thermal energy recovery from wastewater could be a viable source because there could be more thermal energy demand from the urban areas with a greater proximity. Acknowledgement This project was supported by Korea Ministry of Environment as "Global Top Project"(Project No.: GT-11-B-01-010-0). References An, Y., Kim, S., Lee S., Song J., Hwang, S., and Yoon J. (2010) Case study on 5 kWp transparent thin-film BIPV system. Journal of Korean Solar Energy Society 30(4), 29-35. Greenfield, P.F. & Batstone, D.J. (2005) Anaerobic digestion: Impact of future greenhouse gases mitigation policies on methane generation and usage. Water Sci. Technol. 52(1-2), 39-47. Jackson, F. (2007). 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