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Biodegradation of cis-1,2-Dichloroethene in Simulated Underground Thermal Energy Storage Systems


Huub H.M. Rijnaarts

Martijn P.J. Smit

Zhuobiao Ni

Tim Grotenhuis
pmid: 26503690
Underground thermal energy storage (UTES) use has showed a sharp rise in numbers in the last decades, with aquifer thermal energy storage (ATES) and borehole thermal energy storage (BTES) most widely used. In many urban areas with contaminated aquifers, there exists a desire for sustainable heating and cooling with UTES and a need for remediation. We investigated the potential synergy between UTES and bioremediation with batch experiments to simulate the effects of changing temperature and liquid exchange that occur in ATES systems, and of only temperature change occurring in BTES systems on cis-DCE reductive dechlorination. Compared to the natural situation (NS) at a constant temperature of 10 °C, both UTES systems with 25/5 °C for warm and cold well performed significantly better in cis-DCE (cis-1,2-dichloroethene) removal. The overall removal efficiency under mimicked ATES and BTES conditions were respectively 13 and 8.6 times higher than in NS. Inoculation with Dehalococcoides revealed that their initial presence is a determining factor for the dechlorination process. Temperature was the dominating factor when Dehalococcoides abundance was sufficient. Stimulated biodegradation was shown to be most effective in the mimicked ATES warm well because of the combined effect of suitable temperature, sustaining biomass growth, and regular cis-DCE supply.
- Wageningen University & Research Netherlands
Energy-Generating Resources, Hot Temperature, Halogenation, Stereoisomerism, Chloroflexi, Dichloroethylenes, Biodegradation, Environmental, Groundwater, Water Pollutants, Chemical
Energy-Generating Resources, Hot Temperature, Halogenation, Stereoisomerism, Chloroflexi, Dichloroethylenes, Biodegradation, Environmental, Groundwater, Water Pollutants, Chemical
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).33 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
