CN104820789A - Calculation method for greenhouse gas emission quantity - Google Patents

Calculation method for greenhouse gas emission quantity Download PDF

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Publication number
CN104820789A
CN104820789A CN201510254756.3A CN201510254756A CN104820789A CN 104820789 A CN104820789 A CN 104820789A CN 201510254756 A CN201510254756 A CN 201510254756A CN 104820789 A CN104820789 A CN 104820789A
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China
Prior art keywords
uncertainty
emission source
greenhouse gas
total
discharge capacity
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曹丹
吴丽燕
黄炜
胡刚翔
陈强
姚聪
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JINHUA ENTRY-EXIT INSPECTION AND QUARANTINE BUREAU OF PRC
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JINHUA ENTRY-EXIT INSPECTION AND QUARANTINE BUREAU OF PRC
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Abstract

The invention discloses a verification calculation method for the greenhouse gas emission quantity. The method comprises the following steps of: 1, setting an organizational boundary; 2, selecting a base year; 3, setting an operational boundary; 4, quantifying greenhouse gas; 5, carrying out data quality management; and 6, carrying out data uncertainty management. The verification calculation method for the greenhouse gas emission quantity has the advantages that through the setting of the six steps, the base year greenhouse emission quantity can be conveniently and effectively worked out; the basis is provided for an enterprise to build a reasonable greenhouse gas verification management system; and low-carbon atmosphere is built.

Description

A kind of computing method of greenhouse gas emissions
Technical field
The present invention relates to the computing method of greenhouse gas emissions.
Background technology
Along with the intensification be gradually familiar with Climate Change Sciences problem, in recent years, various countries have defined the common recognition of greenhouse gas emission control, and the organizationss such as enterprise, school, scientific research institution, as the member of society, have responsibility to greenhouse gas emission control.So, can study a kind of practicality, the computing method of easy, that feasibility is high greenhouse gas emissions, the organizationss such as enterprise, school, scientific research institution are facilitated to add up its greenhouse gas emissions, set up greenhouse gases and interrogate and examine management system, and actively carry out reduction of greenhouse gas discharge, be a very important job.
Due to the numerous and diverse confusion in greenhouse gas emission source, that causes greenhouse gas emission interrogates and examines difficulty, is difficult to obtain greenhouse gas emissions accurately.Also there is no the calculating (method) of a set of blanket greenhouse gas emissions at present, in order to overcome the not statistical uncertainty true problem of greenhouse gas emissions that the numerous and diverse confusion in greenhouse gas emission source causes, be necessary the computing method of the greenhouse gas emissions of a set of reasonable of research and design.
Summary of the invention
For the deficiency that prior art exists, the object of the present invention is to provide a kind of computing method of greenhouse gas emissions, interrogating and examining of calculating parameter can be carried out according to predetermined flow process, and to interrogating and examining result analysis.A kind of greenhouse gas emissions of the present invention interrogate and examine computing method, the method comprises the following steps:
Step one, according to ISO 14064-1 specification, and with reference to greenhouse gases protocol, selects to run control method to carry out setting organizational boundary;
Step 2, selected reference year;
Step 3, setting operation border;
Step 4, setting emission source classification and interrogate and examine gas classification, this step comprises the steps: (1): set emission source classification and indirectly to discharge for directly discharge, the energy and other discharge three classes indirectly; (2): setting the greenhouse gases of interrogating and examining is CO 2, CH 4, N 2o, HFCs, PFCs, SF 6six classes;
Step 5, interrogates and examines inventory quantized by greenhouse gases by interrogating and examining establishment greenhouse gases;
Step 6, goes out the discharge capacity of greenhouse gases according to following formulae discovery:
Discharge capacity (CO 2e)=activity data/intensity (use amount) × emission factor × GWP; By the greenhouse gas emissions drawn, data quality is managed;
Step 7, by carrying out uncertainty assessment to parameter activity data, emission factor, carry out grade classification to total uncertainty, the uncertainty of management data.
Improve as one, in the data quality management process of above-mentioned steps five, also comprise and work out quality management flow process:
A. draft a set of containing and completely interrogate and examine workflow quality management scheme;
B. quality management scheme emphasis concentrates on the quality check work of general emission source and the quality check work of specific emission source.
Improve as one, above-mentioned general emission source quality check work step comprises Data Collection, input and work for the treatment of successively, and data work of filing is discharged with calculating and checks calculation procedure; The quality check work step of described specific emission source comprises the interrogating and examining of emission factor and other parameters, the interrogating and examining of activity data, discharge capacity are interrogated and examined and calculation procedure.
Improve as one, the uncertainty analysis in above-mentioned steps six calculates the uncertainty mainly comprised for single emission source and carries out analytical calculation, and its formula is as follows:
± Ui = x 2 + y 2
Note: wherein Ui is that discharge capacity is uncertain; X is that activity data is uncertain; Y is that emission factor is uncertain;
Calculate for the total uncertainty of non-single emission source discharge capacity, its formula is as follows:
± U total = ± Σ i = 1 n ( Mi × Ui ) M total
Note: wherein U totalfor discharge capacity is always uncertain; Mi is single emission source discharge capacity; Ui is that single emission source discharge capacity is uncertain; M totalfor total release;
The uncertainty of electric power emission factor calculates, and utilizes energy CO 2overall probabilistic recommended value 7% of emission factor calculates.
Improve as one, in described step 6, total uncertain grade classification is as follows:
The uncertainty of sample mean value is ± 5%, and divided rank is high;
The uncertainty of sample mean value is ± 15%, and divided rank as well;
The uncertainty of sample mean value is ± 30%, and divided rank is common;
The uncertainty of sample mean value exceedes ± and 30%, divided rank is for poor.
Beneficial effect of the present invention is: effectively can set organizational boundary by step one, just can selected reference year by step 2, operation border just can be set by step 3, operation border is set to directly, indirect and other indirect three classes of the energy, set the greenhouse gases of interrogating and examining is CO simultaneously 2, CH 4, N 2o, HFCs, PFCs, SF 6six classes, just can be utilized by step 4 and interrogate and examine establishment greenhouse gases and interrogate and examine inventory greenhouse gases are quantized, the discharge capacity that effectively can be calculated greenhouse gases by step 5 is managed data quality, just can be managed the uncertainty of data by step 6, just standard year greenhouse gas emissions can be calculated easily and effectively by the effect of above-mentioned six steps, by the emission source that the method can conveniently find greenhouse gases main, enterprise, school, the units such as scientific research institution can formulate Mitigation options targetedly for main emission source rational reduction of greenhouse gas discharge target, set up rational greenhouse gases and interrogate and examine management system, build low-carbon (LC) atmosphere.
Embodiment
The computing method of a kind of greenhouse gas emissions of the present invention, step one, according to ISO 14064-1 specification, and with reference to greenhouse gases protocol, select to run control method to carry out setting organizational boundary:
Choose Jinhua Entry-Exit Inspection and Quarantine Bureau technique center complex laboratory carries out greenhouse gas emissions computing method as pilot in the present embodiment, its reason mainly contains following 2 points.One is the chemical detection that complex laboratory assume responsibility for the product such as food, industrial goods, chemical laboratory is distributed more widely in national testing agency, can be promoted preferably in detection industry, most inspection and quarantine experiment all establishes chemical laboratory, and therefore the present invention can be promoted preferably in inspection and quarantine system.Two is itself meeting release of carbon dioxide isothermal chamber gas in partial chemical course of reaction, chooses complex laboratory as goal in research, has certain typicalness.
Step 2, selected reference year: in the present embodiment, selected on Dec 31,1 day to 2012 January in 2012 is the standard year of Jinhua Entry-Exit Inspection and Quarantine Bureau technique center complex laboratory during this section.
Step 3, setting operation border;
Step 4, sets emission source classification and interrogates and examines gas classification, comprising the steps, (1): set operation classification as direct (category 1), the energy (category 2) and other indirect (category 3) three classes indirectly; (2): setting the greenhouse gases of interrogating and examining is CO 2, CH 4, N 2o, HFCs, PFCs, SF 6six classes; Operation border and emission source detailed content are as table 1.
Table 1 runs border and emission source
Step 5, interrogates and examines inventory quantized by greenhouse gases by interrogating and examining establishment greenhouse gases;
Step 6, goes out the discharge capacity of greenhouse gases according to following formulae discovery:
Discharge capacity (CO 2e)=activity data/intensity (use amount) × emission factor × GWP; According to the total release (tCO to all kinds of emission source calculated 2e), in this embodiment, only acquire the exemplary gases CO of greenhouse gases 2carry out quantification to gather, that makes gathers as table 2.
Table 2 greenhouse gas emission summary sheet
Emission source is classified Total release (tCO 2e) Proportion
Class emission source (Scope 1) 32.7 9.4%
Class emission source (Scope 2) 307.3 88.5%
Class emission source (Scope 3) 7.2 2.1%
Amount to 347.2 100%
Step 7, by carrying out uncertainty assessment to parameter activity data, emission factor, carry out grade classification to total uncertainty, the uncertainty of management data.
Uncertainty analysis is mainly quoted " IPCC Guidelines for GHG Inventories ", carries out the uncertainty assessment of parameter (activity data, emission factor).The uncertainty analysis of interrogating and examining data mainly concentrates on the analysis to activity data and emission factor, the bound of emission factor and activity data mainly quotes " Guidelines for National Greenhouse Gas Inventories " from IPCC1996 and 2006 year, " the Good Practice Guidance and Uncertainly Management in National Greenhouse Gas Inventories " of 2000 and relevant criterion and guide, correlation computations formula is from " GHG Protocol guidance on uncertainty assessment in GHG inventoris and calculation statistical parameter uncertainty " (2003).
As a kind of embodiment of improvement, in the data quality management process of above-mentioned steps five, also comprise and work out quality management flow process:
A. draft a set of containing and completely interrogate and examine workflow quality management scheme;
B. quality management scheme emphasis concentrates on the quality check work of general emission source and the quality check work of specific emission source.
As a kind of embodiment of improvement, above-mentioned general emission source quality check work step comprises Data Collection, input and work for the treatment of successively, and data work of filing is discharged with calculating and checks calculation procedure; The quality check work step of described specific emission source comprises the interrogating and examining of emission factor and other parameters, the interrogating and examining of activity data, discharge capacity are interrogated and examined and calculation procedure.Specific works content is listed by table 4, table 5.
The general quality verification action of table 4
Table 5 specificity quality verification job content
As a kind of embodiment of improvement, the uncertainty analysis in above-mentioned steps six calculates the uncertainty mainly comprised for single emission source and carries out analytical calculation, and its formula is as follows:
± Ui = x 2 + y 2
Note: wherein Ui is that discharge capacity is uncertain; X is that activity data is uncertain; Y is that emission factor is uncertain;
Calculate for the total uncertainty of non-single emission source discharge capacity, its formula is as follows:
± U total = ± Σ i = 1 n ( Mi × Ui ) M total
Note: wherein U totalfor discharge capacity is always uncertain; Mi is single emission source discharge capacity; Ui is that single emission source discharge capacity is uncertain; M totalfor total release;
The uncertainty of electric power emission factor calculates, and utilizes energy CO 2overall probabilistic recommended value 7% of emission factor calculates.
As a kind of embodiment of improvement, in described step 6, total uncertain grade classification is as follows:
The total uncertain grade classification of table 6
Data scale of precision The uncertainty (fiducial interval 95%) of sample mean value
High ±5%
Good ±15%
Common ±30%
Difference More than 30%
Total uncertainty that Jinhua Entry-Exit Inspection and Quarantine Bureau this carbon of technique center complex laboratory interrogates and examines result is ± 8.48%, and according to above-mentioned division, this interrogates and examines the total uncertain grade of result for " good ".
Greenhouse gases interrogate and examine interpretation of result
The above results shows, the greenhouse gas emission source of Jinhua Entry-Exit Inspection and Quarantine Bureau technique center complex laboratory and discharge capacity are mainly from the indirect discharge (more than 88%) of outsourcing electric power, therefore saving the electricity usage of Jinhua Entry-Exit Inspection and Quarantine Bureau technique center complex laboratory, is the maximum latent space reducing greenhouse gas emission.

Claims (5)

1. greenhouse gas emissions interrogate and examine computing method, it is characterized in that: the method comprises the following steps:
Step one, according to ISO 14064-1 specification, and with reference to greenhouse gases protocol, selects to run control method to carry out setting organizational boundary;
Step 2, selected reference year;
Step 3, setting operation border;
Step 4, setting emission source classification and interrogate and examine gas classification, this step comprises the steps: (1): set emission source classification and indirectly to discharge for directly discharge, the energy and other discharge three classes indirectly; (2): setting the greenhouse gases of interrogating and examining is CO 2, CH 4, N 2o, HFCs, PFCs, SF 6six classes;
Step 5, interrogates and examines inventory quantized by greenhouse gases by interrogating and examining establishment greenhouse gases;
Step 6, goes out the discharge capacity of greenhouse gases according to following formulae discovery:
Discharge capacity (CO 2e)=activity data/intensity (use amount) × emission factor × GWP; By the greenhouse gas emissions drawn, data quality is managed;
Step 7, by carrying out uncertainty assessment to parameter activity data, emission factor, carry out grade classification to total uncertainty, the uncertainty of management data.
2. the computing method of a kind of greenhouse gas emissions according to claim 1, is characterized in that: in the data quality management process of above-mentioned steps five, also comprise and work out quality management flow process:
A. draft a set of containing and completely interrogate and examine workflow quality management scheme;
B. quality management scheme emphasis concentrates on the quality check work of general emission source and the quality check work of specific emission source.
3. the computing method of a kind of greenhouse gas emissions according to claim 2, it is characterized in that: above-mentioned general emission source quality check work step comprises Data Collection, input and work for the treatment of successively, data work of filing is discharged with calculating and checks calculation procedure; The quality check work step of described specific emission source comprises the interrogating and examining of emission factor and other parameters, the interrogating and examining of activity data, discharge capacity are interrogated and examined and calculation procedure.
4. a kind of computing method of greenhouse gas emissions according to Claims 2 or 3, is characterized in that: the uncertainty analysis in above-mentioned steps six calculates the uncertainty mainly comprised for single emission source and carries out analytical calculation, and its formula is as follows:
± Ui = x 2 + y 2
Note: wherein Ui is that discharge capacity is uncertain; X is that activity data is uncertain; Y is that emission factor is uncertain;
Calculate for the total uncertainty of non-single emission source discharge capacity, its formula is as follows:
± U total = ± Σ i = 1 n ( Mi × Ui ) M total
Note: wherein U totalfor discharge capacity is always uncertain; Mi is single emission source discharge capacity; Ui is that single emission source discharge capacity is uncertain; M totalfor total release;
The uncertainty of electric power emission factor calculates, and utilizes energy CO 2overall probabilistic recommended value 7% of emission factor calculates.
5. the computing method of a kind of greenhouse gas emissions according to claim 1, is characterized in that: in described step 6, total uncertain grade classification is as follows:
The uncertainty of sample mean value is ± 5%, and divided rank is high;
The uncertainty of sample mean value is ± 15%, and divided rank as well;
The uncertainty of sample mean value is ± 30%, and divided rank is common;
The uncertainty of sample mean value exceedes ± and 30%, divided rank is for poor.
CN201510254756.3A 2015-05-18 2015-05-18 Calculation method for greenhouse gas emission quantity Pending CN104820789A (en)

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106198305A (en) * 2016-09-13 2016-12-07 成都创慧科达科技有限公司 A kind of greenhouse gas emissions detection device
CN106855559A (en) * 2016-12-28 2017-06-16 浙江海洋大学 Ship carbon emission monitoring method based on AIS systems
CN109712679A (en) * 2019-02-25 2019-05-03 广东电网有限责任公司 A kind of the GWP classification prediction technique and device of chemical substance
CN112070331A (en) * 2019-06-11 2020-12-11 中国石油天然气集团有限公司 Greenhouse gas emission amount assessment method and device in unconventional oil gas development process
CN112129886A (en) * 2019-06-24 2020-12-25 苏州五蕴明泰科技有限公司 Method and device for monitoring urban greenhouse gas emission

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101149618A (en) * 2006-09-22 2008-03-26 希森美康株式会社 Quality control system, analyzer, and quality control method
CN102073910A (en) * 2009-11-23 2011-05-25 英业达股份有限公司 Quality level regulation method
KR101097190B1 (en) * 2009-12-31 2011-12-22 건국대학교 산학협력단 System for inventorying emission of air pollution matter and method therefor
CN103116584A (en) * 2011-11-16 2013-05-22 捷达世软件(深圳)有限公司 Greenhouse gas question management method and system
CN103631814A (en) * 2012-08-27 2014-03-12 捷达世软件(深圳)有限公司 Greenhouse gas examining and managing method and system
CN103635919A (en) * 2011-06-21 2014-03-12 伊科诺瑞有限公司 System for converting greenhouse gas emissions to carbon credit and method for same
CN103984877A (en) * 2014-06-11 2014-08-13 国家电网公司 Evaluation system and method for running quality of secondary equipment of electric power system

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101149618A (en) * 2006-09-22 2008-03-26 希森美康株式会社 Quality control system, analyzer, and quality control method
CN102073910A (en) * 2009-11-23 2011-05-25 英业达股份有限公司 Quality level regulation method
KR101097190B1 (en) * 2009-12-31 2011-12-22 건국대학교 산학협력단 System for inventorying emission of air pollution matter and method therefor
CN103635919A (en) * 2011-06-21 2014-03-12 伊科诺瑞有限公司 System for converting greenhouse gas emissions to carbon credit and method for same
CN103116584A (en) * 2011-11-16 2013-05-22 捷达世软件(深圳)有限公司 Greenhouse gas question management method and system
CN103631814A (en) * 2012-08-27 2014-03-12 捷达世软件(深圳)有限公司 Greenhouse gas examining and managing method and system
CN103984877A (en) * 2014-06-11 2014-08-13 国家电网公司 Evaluation system and method for running quality of secondary equipment of electric power system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
李永江: "温室气体清单编制的思路和基本原则", 《环境保护》 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106198305A (en) * 2016-09-13 2016-12-07 成都创慧科达科技有限公司 A kind of greenhouse gas emissions detection device
CN106855559A (en) * 2016-12-28 2017-06-16 浙江海洋大学 Ship carbon emission monitoring method based on AIS systems
CN109712679A (en) * 2019-02-25 2019-05-03 广东电网有限责任公司 A kind of the GWP classification prediction technique and device of chemical substance
CN109712679B (en) * 2019-02-25 2023-01-20 广东电网有限责任公司 GWP (global warming potential) classification prediction method and device for chemical substances
CN112070331A (en) * 2019-06-11 2020-12-11 中国石油天然气集团有限公司 Greenhouse gas emission amount assessment method and device in unconventional oil gas development process
CN112129886A (en) * 2019-06-24 2020-12-25 苏州五蕴明泰科技有限公司 Method and device for monitoring urban greenhouse gas emission

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Application publication date: 20150805