MY191055A - Process model predictive control system and method for promoting production of anaerobic digestion gas - Google Patents

Process model predictive control system and method for promoting production of anaerobic digestion gas

Info

Publication number
MY191055A
MY191055A MYPI2019003788A MYPI2019003788A MY191055A MY 191055 A MY191055 A MY 191055A MY PI2019003788 A MYPI2019003788 A MY PI2019003788A MY PI2019003788 A MYPI2019003788 A MY PI2019003788A MY 191055 A MY191055 A MY 191055A
Authority
MY
Malaysia
Prior art keywords
biogas
control system
predictive control
amount
anaerobic digestion
Prior art date
Application number
MYPI2019003788A
Inventor
Hyun Ook Kim
Min Soo Kim
Dan Li
Original Assignee
Univ Seoul Ind Coop Found
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Univ Seoul Ind Coop Found filed Critical Univ Seoul Ind Coop Found
Publication of MY191055A publication Critical patent/MY191055A/en

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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • C—CHEMISTRY; METALLURGY
    • C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F11/00—Treatment of sludge; Devices therefor
    • C02F11/02—Biological treatment
    • C02F11/04—Anaerobic treatment; Production of methane by such processes
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/04—Manufacturing
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Economics (AREA)
  • Data Mining & Analysis (AREA)
  • Strategic Management (AREA)
  • Human Resources & Organizations (AREA)
  • Mathematical Optimization (AREA)
  • Operations Research (AREA)
  • Marketing (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Physics (AREA)
  • Computational Mathematics (AREA)
  • Tourism & Hospitality (AREA)
  • Health & Medical Sciences (AREA)
  • General Business, Economics & Management (AREA)
  • Chemical & Material Sciences (AREA)
  • General Chemical & Material Sciences (AREA)
  • Algebra (AREA)
  • Oil, Petroleum & Natural Gas (AREA)
  • General Engineering & Computer Science (AREA)
  • Molecular Biology (AREA)
  • Hydrology & Water Resources (AREA)
  • Environmental & Geological Engineering (AREA)
  • Water Supply & Treatment (AREA)
  • Organic Chemistry (AREA)
  • Manufacturing & Machinery (AREA)
  • Software Systems (AREA)
  • Databases & Information Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Probability & Statistics with Applications (AREA)
  • Primary Health Care (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)

Abstract

The present invention relates to a process model predictive control system and a method for promoting the production of the biogas. The process model predictive control system for promoting the production of the biogas, according to the present invention, applies the ADMl model proposed by the International Water Association (IWA) as an anaerobic digestion model for estimating an amount of a generated biogas. The process model predictive control system for promoting the production of the biogas comprises an optimization module having a function of compensating an error between an actual value and a estimated value in order to improve prediction reliability of the digestion model and having a scenario analysis function of autonomously diagnosing an increase or decrease in the amount of generated biogas and deriving an inflow rate at a satisfactory biogas generation level and a quantitative operating condition for application of a microbial promoter. The present invention can derive operating conditions that are necessary to reliably operate an anaerobic digestion facility and maintain a reference value of a generated biogas amount set by the operator or a generated biogas amount that satisfies history information on a gas generation amount of a past period, and provide the operating conditions to a unskilled operator or an operator who needs objective Therefore, the operation for information for decision making in real time. present invention is very useful for stable an anaerobic digestion facility using organic waste resources.
MYPI2019003788A 2016-12-30 2017-02-20 Process model predictive control system and method for promoting production of anaerobic digestion gas MY191055A (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
KR1020160183660A KR101830150B1 (en) 2016-12-30 2016-12-30 Model predictive control system and method for improving gas production performance of anaerobic digestion plant
PCT/KR2017/001833 WO2018124383A1 (en) 2016-12-30 2017-02-20 Process model predictive control system and method for promoting production of anaerobic digestion gas

Publications (1)

Publication Number Publication Date
MY191055A true MY191055A (en) 2022-05-30

Family

ID=61394811

Family Applications (1)

Application Number Title Priority Date Filing Date
MYPI2019003788A MY191055A (en) 2016-12-30 2017-02-20 Process model predictive control system and method for promoting production of anaerobic digestion gas

Country Status (3)

Country Link
KR (1) KR101830150B1 (en)
MY (1) MY191055A (en)
WO (1) WO2018124383A1 (en)

Families Citing this family (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107194129B (en) * 2017-06-30 2019-08-06 江南大学 A method for analyzing methane production from food waste using lactic acid-corrected ADM1 model
CN109711632B (en) * 2018-12-29 2023-04-18 辽宁工程技术大学 Coal and gas outburst prediction method based on gas emission abnormal sensitive index
US20220228174A1 (en) * 2019-06-24 2022-07-21 Khalifa University of Science and Technology Automatic start-up of anaerobic digestion reactors using model predictive control and practically feasible sets of measurements
CN112308301B (en) * 2020-10-22 2024-03-12 新奥数能科技有限公司 Variable load rate control method, device and equipment for boiler group and storage medium
KR102348977B1 (en) * 2020-11-18 2022-01-11 (주)파이브텍 Integrated managing platform system for biogas producing plant
CN113407896B (en) * 2021-06-15 2022-10-14 电子科技大学 Optimal stress and sample distribution determining method in nuclear power valve accelerated life test
CN113887021B (en) * 2021-09-14 2024-05-10 中船重工环境工程有限公司 Optimized adjustment method for anaerobic digestion process parameters
CN114125001B (en) * 2021-11-19 2024-02-02 青岛天人环境股份有限公司 Edge Micro Platform Equipment for Food Waste Treatment Anaerobic Systems
KR102718943B1 (en) * 2021-12-08 2024-10-17 경희대학교 산학협력단 A hybrid machine learningebased multi­objective supervisory control strategy of a full­scale wastewater treatment for cost­effective and sustainable operation under varying infuent conditions
EP4424810B1 (en) * 2023-03-01 2026-05-06 Procycla SpA Diagnosing faults during operation of an anaerobic digester
KR102684357B1 (en) * 2023-10-20 2024-08-05 한국환경안전관리주식회사 Method for smart production prediction of biogas and greenhouse gas mitigation based on organic waste recycling and treatment using AI(artificial intelligence) and apparatus for performing the method

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100461759B1 (en) * 2002-07-16 2004-12-14 한국화학연구원 Hydrogen gas and methan gas production from highly concentrated wastewater
JP2005111338A (en) * 2003-10-06 2005-04-28 Toshiba Corp Method and apparatus for monitoring anaerobic digestion process, and method for operating anaerobic digestion process
KR20150111675A (en) * 2014-03-26 2015-10-06 부산대학교 산학협력단 System for diagnosis of operation state of anaerobic digester of wastewater treatment plant and for prediction of digestion gas yield and the method
KR101690241B1 (en) * 2016-04-15 2016-12-27 서울시립대학교 산학협력단 Prediction method of anaerobic digestion gas yield by using linerazation technique

Also Published As

Publication number Publication date
KR101830150B1 (en) 2018-02-20
WO2018124383A1 (en) 2018-07-05

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