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 gasInfo
- 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
Links
- 238000000034 method Methods 0.000 title abstract 6
- 230000029087 digestion Effects 0.000 title abstract 5
- 238000004519 manufacturing process Methods 0.000 title abstract 4
- 230000001737 promoting effect Effects 0.000 title abstract 4
- 230000000813 microbial effect Effects 0.000 abstract 1
- 238000005457 optimization Methods 0.000 abstract 1
- 239000010815 organic waste Substances 0.000 abstract 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 abstract 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR 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
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Economics (AREA)
- Data Mining & Analysis (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Life Sciences & Earth Sciences (AREA)
- Mathematical Optimization (AREA)
- Computational Mathematics (AREA)
- Mathematical Physics (AREA)
- General Business, Economics & Management (AREA)
- Operations Research (AREA)
- Marketing (AREA)
- Chemical & Material Sciences (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Analysis (AREA)
- Tourism & Hospitality (AREA)
- Health & Medical Sciences (AREA)
- Oil, Petroleum & Natural Gas (AREA)
- Probability & Statistics with Applications (AREA)
- Hydrology & Water Resources (AREA)
- Environmental & Geological Engineering (AREA)
- Water Supply & Treatment (AREA)
- Organic Chemistry (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Entrepreneurship & Innovation (AREA)
- Game Theory and Decision Science (AREA)
- Evolutionary Biology (AREA)
- General Chemical & Material Sciences (AREA)
- Development Economics (AREA)
- Molecular Biology (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Algebra (AREA)
- Quality & Reliability (AREA)
- Databases & Information Systems (AREA)
- Software Systems (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.
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 (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107194129B (en) * | 2017-06-30 | 2019-08-06 | 江南大学 | A method of using the modified ADM1 model analysis kitchen garbage methane phase of lactic acid |
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 |
WO2020261151A1 (en) * | 2019-06-24 | 2020-12-30 | 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 kitchen waste treatment anaerobic system |
Family Cites Families (4)
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 |
-
2016
- 2016-12-30 KR KR1020160183660A patent/KR101830150B1/en active IP Right Grant
-
2017
- 2017-02-20 MY MYPI2019003788A patent/MY191055A/en unknown
- 2017-02-20 WO PCT/KR2017/001833 patent/WO2018124383A1/en active Application Filing
Also Published As
Publication number | Publication date |
---|---|
WO2018124383A1 (en) | 2018-07-05 |
KR101830150B1 (en) | 2018-02-20 |
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