Addition of alkaline materials to biotrickling filter or bio-filter make-up water

1. A method of removing hydrogen sulfide from contaminated air, the method comprising:

flowing the contaminated air through a biotrickling filter including a media bed and a population of hydrogen sulfide oxidizing bacteria disposed on media in the media bed, the population of bacteria oxidizing hydrogen sulfide in the contaminated air into sulfuric acid;

introducing water from a source of water into the biotrickling filter;

measuring a pH of water having passed through the media bed;

maintaining the pH of the water having passed through the media bed within a predetermined range below about 4 by:

adding an alkaline material to the biotrickling filter; and

controlling an amount of one of the alkaline material added to the biotrickling filter per unit time and an amount of the water added to the biotrickling filter per unit time utilizing a fuzzy logic algorithm performed on a fuzzy logic-based controller, the fuzzy logic algorithm using a difference between the pH of the water having passed through the media bed and a predetermined pH setpoint (an error value) and a change in pH of the water having passed through the media bed per unit time (an error-dot value) as sole input parameters, the fuzzy logic algorithm having a total of five rules and a total of five fuzzy output sets to determine an output used to control the amount of the one of the alkaline material added to the biotrickling filter per unit time and the amount of the water added to the biotrickling filter per unit time; and

providing sufficient water from the source of water to the media bed to rinse salts produced by reaction between the alkaline material and the sulfuric acid from the media bed to prevent clogging of the media bed.

2. The method of claim 1 , further comprising controlling one of the amount of water introduced to the biotrickling filter per unit of time and the amount of the alkali material added to the biotrickling filter per unit time with a manually operated flow controller.

3. The method of claim 1 , further comprising selecting the predetermined range to maintain a pH in the media bed within a range conducive to maintenance of the population of hydrogen sulfide oxidizing bacteria.

4. The method of claim 3 , further comprising maintaining the pH in the media bed between about 0 and about 4.

5. The method of claim 4 , further comprising maintaining the pH in the media bed between about 1.6 and about 2.2.

6. The method of claim 1 , further comprising introducing the alkaline material into a vessel of the biotrickling filter with the water from the source of water.

7. The method of claim 1 , further comprising introducing the alkaline material into a sump of the biotrickling filter.

8. The method of claim 1 , further comprising supplying nutrients for the bacteria into the biotrickling filter, the nutrients including nitrogen, potassium, and phosphorus compounds.

9. The method of claim 8 , further comprising measuring a concentration of the nutrients in fluid that is one of within the biotrickling filter or drained from the biotrickling filter, and controlling a rate of introduction of the nutrients based on the concentration of the nutrients in the fluid.

10. The method of claim 1 , wherein flowing the contaminated air through the biotrickling filter includes flowing the contaminated air through foamed glass media in the media bed.

11. The method of claim 1 , further comprising measuring a pressure differential across the media bed and adjusting a speed of a blower configured to cause the contaminated air to flow through the biotrickling filter based on the pressure differential.

12. The method of claim 1 , further comprising one of introducing the alkaline material into the biotrickling filter at a fixed rate and adjusting the amount of water introduced to the biotrickling filter per unit of time, or introducing the water into the biotrickling filter at a fixed rate and adjusting the amount of the alkaline material introduced to the biotrickling filter per unit of time.

13. The method of claim 1 , resulting in a reduction in water usage by the biotrickling filter by at least 50% as compared to a substantially similar biotrickling filter operating under substantially similar conditions but without introduction of the alkaline material into the biotrickling filter.

14. The method of claim 13 , resulting in a reduction in water usage by the biotrickling filter by at least 99% as compared to the substantially similar biotrickling filter operating under the substantially similar conditions but without introduction of the alkaline material into the biotrickling filter.

15. The method of claim 1 , further comprising measuring a concentration of hydrogen sulfide in the contaminated air and adjusting a speed of a blower configured to cause the contaminated air to flow through the biotrickling filter based on the concentration of hydrogen sulfide in the contaminated air.

16. The method of claim 1 , wherein the alkaline material includes one or more of magnesium hydroxide, potassium hydroxide, calcium hydroxide, sodium hydroxide, potassium carbonate, and sodium carbonate.

17. The method of claim 1 , wherein the fuzzy logic controller performs repeated instances of controlling the amount of the one of the alkaline material added to the biotrickling filter per unit time and the amount of the water added to the biotrickling filter per unit time, the repeated instances separated in time by an amount of time after which a steady state pH would be re-established in the media bed after a change in the amount of the one of the alkaline material added to the biotrickling filter per unit time and the amount of the water added to the biotrickling filter per unit time.

18. The method of claim 1 , wherein the fuzzy logic algorithm utilizes a total of three fuzzy error sets and the fuzzy logic controller assigns the error value to one or more of the three fuzzy error sets.

19. The method of claim 1 , wherein the fuzzy logic algorithm utilizes a total of three fuzzy error-dot sets and the fuzzy logic controller assigns the error-dot value to one or more of the three fuzzy error-dot sets.