Energy footprint and carbon emission reduction using off-the-grid solar-powered mixing for lagoon treatment
Autor: | Brian Bebee, Alice K. Robinson, Alvaro Mendoza, Yuyuan Jiang, Xiaying Zhang, Diego Rosso |
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Rok vydání: | 2018 |
Předmět: |
Environmental Engineering
0208 environmental biotechnology 02 engineering and technology 010501 environmental sciences Management Monitoring Policy and Law 01 natural sciences Electricity Solar Energy Waste Management and Disposal Effluent Solar power Carbon Footprint 0105 earth and related environmental sciences Waste management business.industry Electric potential energy Environmental engineering General Medicine Energy consumption Solar energy Emission intensity Carbon 020801 environmental engineering Greenhouse gas Carbon footprint Environmental science business |
Zdroj: | Journal of Environmental Management. 205:125-133 |
ISSN: | 0301-4797 |
DOI: | 10.1016/j.jenvman.2017.09.049 |
Popis: | Mixing is the driver for the energy footprint of water resource recovery in lagoons. With the availability of solar-powered equipment, one potential measure to decrease the environmental impacts of treatment is to transition to an off-the-grid treatment. We studied the comparative scenarios of an existing grid-powered mixer and a solar-powered mixer. Testing was conducted to monitor the water quality, and to guarantee that the effluent concentrations were maintained equally between the two scenarios. Meanwhile, the energy consumption was recorded with the electrical energy monitor by the wastewater treatment utility, and the carbon emission changes were calculated using the emission intensity of the power utility. The results show that after the replacement, both energy usage and energy costs were significantly reduced, with the energy usage having decreased by 70% and its cost by 47%. Additionally, carbon-equivalent emission from electricity importation dropped by 64%, with an effect on the overall carbon emissions (i.e., including all other contributions from the process) decreasing from 3.8% to 1.5%. |
Databáze: | OpenAIRE |
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