Alkalinity is a reliable indicator of process stability in anaerobic digestion system.Total alkalinity(TA)and partial alkalinity(PA)are usually monitored offline as indicators for the status of anaerobic digestion pro...Alkalinity is a reliable indicator of process stability in anaerobic digestion system.Total alkalinity(TA)and partial alkalinity(PA)are usually monitored offline as indicators for the status of anaerobic digestion process.In order to online monitor TA and PA,the linear regression method was used as estimator to predict alkalinity via software sensor method.Parameters,namely,pH,oxidation and reduction potential(ORP),and electrical conductivity(EC),were used as input variables.EC was the most significant parameter with TA and PA.Multiple linear regression(MLR)models and simple linear regression models with EC were constructed to predict TA and PA in anaerobic co-digestion system.On the basis of the evaluation of prediction accuracy,the applications of linear regression models were better for monitoring PA than TA.MLR models provided higher accuracy for alkalinity prediction than simple linear regression models.The two MLR models based on single-phase anaerobic digestion system were also feasible to predict TA in anaerobic co-digestion systems.However,the accuracy of these models should be improved by calibrating for broad applications of linear regression method in online alkalinity measurement.展开更多
Siloxanes in biogas are detrimental to engine,turbine,fuel cell,etc.,thus it is necessary to remove siloxanes from biogas before biogas high-value utilization.At present,there are few domestic researches and related r...Siloxanes in biogas are detrimental to engine,turbine,fuel cell,etc.,thus it is necessary to remove siloxanes from biogas before biogas high-value utilization.At present,there are few domestic researches and related reports in view of siloxanes removal from biogas.This paper introduces the property of siloxanes as well as sampling and analysis method,and then presents the research progress of siloxanes removal from biogas.Three commercial technologies overseas are adsorption,absorption and cryogenic condensation.Among them,adsorption on activated carbon is the most widely used method.Other technologies,such as biological removal,catalytic processes,membranes,source controlling,etc.are under exploration and development.At last,this paper summarizes the advantages and disadvantages of siloxanes removal technologies as well as the applicability and analyzes the future research trend and emphasis.This paper could provide a reference in the field of biogas high-value utilization.展开更多
基金the International Scientific and Technological Cooperation and Exchange Projects(2013DFG92620)the Beijing Science and Technology Program(D141100001214003)+1 种基金the National Key Research and Development Plan(2016YFE0115600)Fundamental Research Funds for the Central Universities(FRF-TP-15-045A1).
文摘Alkalinity is a reliable indicator of process stability in anaerobic digestion system.Total alkalinity(TA)and partial alkalinity(PA)are usually monitored offline as indicators for the status of anaerobic digestion process.In order to online monitor TA and PA,the linear regression method was used as estimator to predict alkalinity via software sensor method.Parameters,namely,pH,oxidation and reduction potential(ORP),and electrical conductivity(EC),were used as input variables.EC was the most significant parameter with TA and PA.Multiple linear regression(MLR)models and simple linear regression models with EC were constructed to predict TA and PA in anaerobic co-digestion system.On the basis of the evaluation of prediction accuracy,the applications of linear regression models were better for monitoring PA than TA.MLR models provided higher accuracy for alkalinity prediction than simple linear regression models.The two MLR models based on single-phase anaerobic digestion system were also feasible to predict TA in anaerobic co-digestion systems.However,the accuracy of these models should be improved by calibrating for broad applications of linear regression method in online alkalinity measurement.
基金the Beijing Science and Technology Program(D141100001214003)Fundamental Research Funds for the Central Universities(No.FRF-TP-15-045A1)National Key Research and Development Plan(No.2016YFE0115600).
文摘Siloxanes in biogas are detrimental to engine,turbine,fuel cell,etc.,thus it is necessary to remove siloxanes from biogas before biogas high-value utilization.At present,there are few domestic researches and related reports in view of siloxanes removal from biogas.This paper introduces the property of siloxanes as well as sampling and analysis method,and then presents the research progress of siloxanes removal from biogas.Three commercial technologies overseas are adsorption,absorption and cryogenic condensation.Among them,adsorption on activated carbon is the most widely used method.Other technologies,such as biological removal,catalytic processes,membranes,source controlling,etc.are under exploration and development.At last,this paper summarizes the advantages and disadvantages of siloxanes removal technologies as well as the applicability and analyzes the future research trend and emphasis.This paper could provide a reference in the field of biogas high-value utilization.
