BATAAN MW POWER RICE HULL COGENERATION PROJECT

Transcription

1 BATAAN MW POWER RICE HULL COGENERATION PROJECT Document Prepared By Bataan 2020, Inc. 226 Quirino Highway, Baesa Queson City, Metro Manila, Phillippines. Tel: to 67 Project Title Bataan MW Power Rice Hull Cogeneration Project Version Version 1.5 Date of Issue 27-February-2012 Project ID UNFCCC reference number: 3424 Monitoring Period Prepared By Contact 26-July-2009 to 10-March-2011 Bataan 2020, Inc 226 Quirino Highway, Baesa Queson City,Metro Manila, Phillippines. Tel: to

2 Table of Contents Sl No Contents Page No: 1 PROJECT DETAILS Summary Description of Project Sectoral Scope and Project Type Project Proponent Other Entities Involved in the Project Project Start Date Project crediting Period Project Location Title and Reference of Methodology 5 2 IMPLEMENTATION STATUS Implementation Status of the Project Activity Deviations from the Monitoring Plan Grouped Project 6 3 DATA AND PARAMETERS Data and Parameters Available at Validation Data and Parameters monitored Description of the Monitoring Plan 15 4 QUANTIFICATION OF GHG EMISSION REDUCTIONS AND REMOVALS Baseline Emissions Project Emissions Leakage Summary of GHG Emission Reductions And Removals 17 5 ADDITIONAL INFORMATION 17 2

3 1 PROJECT DETAILS 1.1 Summary Description of Project The Bataan 2020 Inc MW Rice Hull Power Cogeneration Project is a cogeneration project developed by Bataan 2020 Inc. for a paper mill located in Barangay Gugo, Municipality of Samal in the province of Bataan, Philippines. The purpose of the project activity is to generate steam and electricity by means of using rice hulls as fuel and will help Philippines fulfill its goals of promoting sustainable development through economical, environmental and social means by generating renewable energy and reducing GHG emissions. In the project activity, rice hulls is combusted in boiler to generate heat (steam) which runs a steam turbine to provide thermal and electrical energy to the paper mill. The project is a rice hulls based cogeneration technology. The rice hulls will be sourced from rice millers within Bataan and in nearby provinces. From the covered rice hulls storage, rice hulls is fed to the belt conveyor going to the rice hulls silo, then to the boiler by a booster fan or primary air fan. The boiler applies an atmospheric fluidised bed combustion (AFBC) technology and the biomass fuel is fed via an overbed feeding system. The boiler produces 78 tons per hour (66 kg/cm2, 490ºC) of high-pressure steam, which is directly fed to the steam turbine. The turbine is a single unit controlled extraction cum condensing steam turbine that provides process steam at 30 tons per hour (9.5 kg/cm2) and generates 12.5 MW of electricity (gross output) for use by the whole paper mill. The auxiliary power requirements are approximately 1.75MW, resulting in a net electricity generation of approximately 10.75MW. Based on a 3-year historical electricity billing records, the power requirements for the Bataan 2020 manufacturing facility is approximately 10.4 MW. Excess electricity, if any, may be exported to the grid. The project activity displaces three (3) units of residual fuel oil fired backup boilers with a total steam generation capacity of 26 tons per hour at 9.5 bar, and two low-pressure rice hull fired boilers with steam generation capacity 15 tons per hour at 9.5 bar, each, with a total capacity of 30 tons per hour. The process steam requirements are approximately 30 tons per hour. Small amounts of coal might be used for boiler start-ups and during the rainy season due to wetting of rice hulls. The use of coal as a co-fired fuel is not envisaged in the project activity. In the event coal is used, it will be monitored, and accounted for as project emissions. The project was commissioned on 26 th July The total emission reductions for the monitoring period ( 26 th July 2009 to 10 th March 2011) amount to 25,359 tco 2 e. 1.2 Sectoral Scope and Project Type As per the relevant methodology applicable for small scale activities, this project falls in: Type 1: Renewable Energy Projects Category C: Thermal Energy Production With or Without Electricity Version 16, Sectoral Scope 01, EB 51. This is not a grouped project. 3

4 1.3 Project Proponent The contact information for the project proponent for all relevant details pertaining to the project activity is as given below: Mr.Alfred Y.Huang 226 Quirino Highway, Baesa Quezon City, Metro Manila, Phillippines. Tel: to Other Entities Involved in the Project The other project participant contact details are as given below: Mr. Patrick James Browne EcoSecurities International Limited 40 Dawson Street Dublin, Dublin, 02 Ireland Tel: Personal URL: Project Start Date The project start date was based on the date commissioning which was on 26 th July Project Crediting Period The project crediting period commenced on 26 th July 2009 up to 10 th March 2011 for approximately 1 year and 8 months. 1.7 Project Location The project is located in a rural town of Samal, in the province of Bataan in Region III (Central Luzon) in the Philippines. The project site address is: Bataan 2020, Roman Superhighway, Samal, Bataan ZIP The GPS coordinates are: N E Title and Reference of Methodology Title: Thermal Energy Production with or without Electricity Reference: AMS I.C./Version 16 (December 18, 2009) 2 IMPLEMENTATION STATUS 4

5 2.1 Implementation Status of the Project Activity MONITORING REPORT: VCS Version 3 The project was commissioned on 26 th July The plant has been operating continuously since the time of commissioning. During the monitoring period 26 th July 2009 up to 10 th March 2011, there also has not been any major replacement or exchange of equipment. There has been no occurrence of any event that may impact GHG emission reductions or removals and monitoring. 2.2 Deviations from the Monitoring Plan There is no deviation from the monitoring plan in the project description. 2.3 Grouped Project This is not a grouped project thus this section is not applicable. 3 DATA AND P ARAMETERS 3.1 Data and Parameters Available at Validation Data unit: Source of data: Value applied: Purpose of the data: EF CO2 tco 2 e/mwh Grid Emission Factor for Luzon-Visayas Grid Philippines Department of Energy The data is used for baseline emission calculations The value is taken as per the registered PDD Data unit: Source of data: Value applied: Purpose of the data: SEC RH GJ/MWh Specific Energy Consumption of rice hulls in the project activity Heat and Mass Balance Diagram The data was used for emission reduction estimations. The value is taken as per the registered PDD Data unit: SEC coal GJ/MWh Specific Energy Consumption of coal in the project 5

6 Source of data: MONITORING REPORT: VCS Version 3 activity Value applied: Purpose of the data: Heat and Mass Balance Diagram The data was used for emission reduction estimations. The value is taken as per the registered PDD EF CO2 transp Data unit: tco 2 /km Source of data: IPCC 1996 Value applied: Purpose of the data: Average CO2 emission factor per unit run of transportation The data is used for leakage emission calculations IPCC 1996 values are applied as IPCC 2006 values are unavailable. The value is taken as per the registered PDD ε boiler Data unit: % Thermal efficiency of the baseline rice hull boilers Source of data: Manufacturers specifications Value applied: 80 Purpose of the data: The data is used for leakage emission calculations The value is taken as per the registered PDD 3.2 Data and Parameters Monitored Data unit: Source of data: Description of measurement methods and procedures to be applied: BF,y tons/yr Quantity of biomass fuel (rice hulls) consumed in the project activity cogeneration system in the year y Mass/energy balance The amount of rice hulls consumed in the project activity is estimated using annual mass/ energy balance based on rice hulls purchased quantities and stock. The amount of rice hulls purchased for 6

7 use in the project activity is be measured via a calibrated weighbridge system and supported by invoices. Frequency of monitoring/recording: Value monitored: The recording is done on a daily basis. The data is then aggregated monthly. Month Tons July , August , September , October , November , December , January , February , March , April , May , Jun , July , August , September , October , November , December , January , February , st March th 2, March

8 Total 189,662.86,. Monitoring equipment: Monitoring Equipment: Weighbridge Accuracy class: ±0.012% Model: Cardinal 220 Serial No.: E Calibration frequency: Annually Date of 1st calibrati on Valid upto Date of second calibration Valid upto Date 02/06/0 9 1/6/10 27/05/10 (mete r was chang ed) Monitoring Equipment: Weighbridge Accuracy class: ±0.1% Model: GSE 460 Serial No.: Calibration frequency: Annually Date of 1st calibratio n Valid upto Date of second calibration Valid upto Date 25/08/10 24/08 /11 2/02/11 01/2/12 QA/QC procedures to be applied: Calculation method: The weighbridge used for weighing rice hulls is calibrated annually. The data can be cross checked with the rice hulls procurement data (invoices). Not applicable 8

9 - MONITORING REPORT: VCS Version 3 Data unit: Source of data: Description of measurement methods and procedures to be applied: Frequency of monitoring/recording: Value monitored: Monitoring equipment: EG BL,y MWh/yr Net power generation by the project activity in the year y On-site measurements The amount of net electricity generated is monitored based on the net electricity meter installed at the site. Continuous measurement with daily recording. 2, Month MWh 26 th July st July 2009 August , September , October , November , December , January , February , March , April , May , Jun , July , August , September , October , November , December , January , February , st March th March 2011 Total 105, Monitoring equipment: Electric meter (TIE Feeder meter) 9

10 Accuracy Class: 0.5S Serial No.: / Calibration frequency: Annually Dates of calibration: 08/07/2008; 25/05/2010 Though the meter was calibrated in 2008, it was installed for use only in July As per the confirmation from the manufacturer (provided to the DOE), the meter accuracy was retained for the one year of idle time. Monitoring equipment: From the net generated energy, a part is exported to Penelco(Peninsular Electric Cooperative), for which the following is used. The difference the net generated energy and the energy exported to Penelco is the energy exported to the mill. Electric meter installed to measure export to Penelco (Dec 2009 onwards) Accuracy Class: 0.5S Serial No.: ZMD405CT Meter was installed after certification from ERC (Electricity regulatory commission) with the validity of the certification (calibration) till QA/QC procedures to be applied: Calculation method: The electric meter is calibrated annually, as per the manufacturer s recommendation. Not applicable (directly measured) - Data unit: Source of data: Description of measurement methods and procedures to be applied: Q project plant,y GJ/yr Quantity of heat generated in the project activity plant in the year y On-site measurements Quantity of heat (steam) generated in the project activity plant is determined based on steam mass (or volume) flows, the temperatures and, in case of superheated steam, the pressure. Steam tables are used to calculate the enthalpy. The flow rate, temperature, and the pressure are measured using calibrated equipments. 10

11 Frequency of monitoring/recording: Value monitored: Continuous measurement with daily recording. Month GJ 26th 31st July August , September , October , November , December , January , February , March , April , May , Jun , July , August , September , October , November , December , January , February , st March th March , Total 762, Month 26th 31st July August , Steam Generated (tons) 11

12 September , October , November , December , January , February , March , April , May , Jun , July , August , September , October , November , December , January , February , st 10th March , Total 275, Month Temperature 26th 31st July August September October November December January February March April May Jun July August

13 September October November December January February st 10th March Month 26th 31st July August September October November December January February March April May Jun July August September October November December January February st 10th March Pressure Month Enthalpy (MJ/t) 26th 31st July August , September , October , November ,

14 December , January , February , March , April , May , Jun , July , August , September , October , November , December , January , February , st 10th March , Monitoring equipment: It is to be noted that the heat generated is only relevant in the calculation of leakage emissions. In the current case, there are no leakage emissions considered due to the transport of Biomass because the distance covered is less than required (for the leakage to be considered). This is in line with para 29 of the version 16 of the referred methodology. Therefore, the values provided here are not to be considered relevant for arriving at emission reductions for the monitoring period. Monitoring equipment: Flowmeter, Accuracy Class: ±0.065% of span Serial No.: Calibration frequency: Once in 3 years Date of calibration: 17/07/2008 Validity: valid till 26/05/2011 Monitoring equipment: Pressure Gauge Accuracy Class: ±0.065% of span Serial No.: Calibration frequency: Once in 3 years 14

15 Date of calibration: 17/07/2008 Validity: three years Monitoring equipment: Temperature Gauge Accuracy Class: ±0.02% of span Serial No.: Calibration frequency: Once in 3 years Date of calibration: 17/07/2008 Validity: three years As stated above, the data recorded using these meters is not used for the emission reduction calculations. Thus, the calibration of the meters, stands irrelevant for the monitoring period under consideration. QA/QC procedures to be applied: Calculation method: Flowmeter, pressure gauge and temperature gauge are calibrated once in 3 years. Steam generated (tons) x average enthalpy -6 (MJ/ton) x 10 This parameter is used to calculate leakage emissions due to incremental transport of biomass Data unit: Source of data: Description of measurement methods and procedures to be applied: Frequency of monitoring/recording: FC coal,j,y tons/yr Quantity of coal used in the project activity in the year y On-site measurements The amount of coal used in the project activity has been measured via a calibrated weighbridge system. As per consumption of coal 15

16 Value monitored: Month Tons July August September October November December January February March April May Jun July August September October , November , December , January February st March th March Total 8, Monitoring equipment: Monitoring Equipment: Weighbridge Accuracy class: ±0.1% Model: Cardinal 220 Serial No.: E Calibration frequency: Annually Dates of calibration: 02/06/2009; 27/05/2010 Monitoring Equipment: Weighbridge Accuracy class: ±0.1% Model: GSE 460 Serial No.: Calibration frequency: Annually 16

17 Dates of calibration: 25/08/2010; 02/02/2011 QA/QC procedures to be applied: Calculation method: The weighbridge is calibrated annually. Not applicable Coal will only be used for start-up purposes or in case of emergencies. EF CO2,coal,y Data unit: tco 2 /GJ Source of data: Description of measurement methods and procedures to be applied: Frequency of monitoring/recording: Value monitored: Monitoring equipment: QA/QC procedures to be applied: Calculation method: CO2 emission factor for coal IPCC default values at the upper limit of the uncertainty at a 95% confidence interval as provided in table 1.4 of Chapter1 of Vol. 2 (Energy) of the 2006 IPCC Guidelines on National GHG Inventories A default value is applied. This value is not monitored by the PP x 10-6 This value is not monitored by the PP. Not applicable Not applicable Data unit: Source of data: Description of measurement methods and procedures to be applied: Frequency of monitoring/recording: Value monitored: Monitoring equipment: QA/QC procedures to be applied: NCV coal,y GJ/ton Net calorific value of coal IPCC default values at the upper limit of the uncertainty at a 95% confidence interval as provided in Table 1.2 of Chapter 1 of Vol. 2 (Energy) of the 2006 IPCC Guidelines on National GHG Inventories A default value is applied. This value is not monitored by the PP This value is not monitored by the PP. Not applicable 17

18 Calculation method: Not applicable Data unit: Source of data: Description of measurement methods and procedures to be applied: Frequency of monitoring/recording: Value monitored: TLy Tons Average truck load of the trucks used in the year y Delivery records The average truck load for the transport of rice hulls to the project site will be determined by averaging the weights of trucks carrying biomass to the project plant. Average truck load will be aggregated annually. Month Tons 26 th 31 st July August September October November December January February March April May Jun July August September October November December January Monitoring equipment: February st March th March Average Monitoring Equipment: Weighbridge Accuracy class: ±0.012% Model: Cardinal

19 Serial No.: E Calibration frequency: Annually Date of 1st calibratio n Valid upto Date of second calibration Valid upto Date 02/06/0 9 1/6/1 0 27/05/10 (met er was chang ed) Monitoring Equipment: Weighbridge Accuracy class: ±0.1% Model: GSE 460 Serial No.: Calibration frequency: Annually Date of 1st calibratio n Valid upto Date of second calibration Valid upto Date 25/08/1 0 24/08 /11 2/02/11 01/2/ 12 QA/QC procedures to be applied: Calculation method: Data unit: Source of data: The weighbridge is calibrated annually. A consistency check of the actual transported weight is carried out against information from weighbridge data. Not applicable Leakage would be considered if biomass residues are transported over an average distance of more than 200 kilometres to the project site, (or a round trip distance of over 400 kilometres) due to the implementation of the project activity, otherwise it would be neglected. AVD y km/yr Average round trip distance (from and to) between the biomass residue fuel supply sites and the site of the project plant during the year y (km) Delivery records 19

20 Description of measurement methods and procedures to be applied: Frequency of monitoring/recording: Value monitored: The average round trip distance from the transport of rice hulls to the project plant is determined based on actual average distances from the project activity site to the transport source. Average round trip distance will be aggregated annually. Month km July August September October November December January February March April May Jun July August September October November December January February st March th March Average Monitoring equipment: QA/QC procedures to be applied: Calculation method: Not applicable Consistency checks of the distance records provided by transporters is carried out against information from other sources (e.g. maps) Not applicable Leakage is to be considered only if biomass residues are transported over an average distance of more than 200 kilometres to the project site, (or a round trip distance of over 400 kilometres) due to the implementation of the project activity, otherwise it would be neglected. 20

21 3.3 Description of the Monitoring Plan This section details the steps to be taken to monitor on a regular basis the GHG emissions reductions from the project. The Monitoring Plan for this project has been developed to ensure that from the start, the project is well organized in terms of collecting and archiving complete and reliable data. CDM monitoring organization and management The organization of the monitoring team was created whereby all involved in the CDM project were assigned with clear roles and responsibilities. The Project Developer has a designated person-in-charge on site who has been responsible for monitoring emissions reductions of the project activity. All staff involved in the collection of data and records are coordinated by him. Data recording and records keeping arrangements Data were recorded at the appropriate frequency. The CDM monitoring manager was responsible for managing the collection, storage and archiving of all data and records. All relevant data was archived electronically, and backed up regularly. Data Quality Control and Quality Assurance Data and records were cross-checked by the project developer before it is stored and archived to identify possible errors or omissions. Thus, data was checked for anomalies and other monitoring issues before it was forwarded to the CDM consultant. Procedures have been developed to deal with possible monitoring data adjustments and uncertainties, as well as emergencies. Maintenance and Calibration of monitoring equipment All equipments were calibrated and maintained in accordance with the manufacturer s recommendations to ensure accuracy of measurements. Records of calibration and maintenance were retained as part of the data monitoring system. Staff training Training was conducted on site to ensure that staff was capable to perform their designated tasks at high standards. This included specific training before the start of commissioning and further as necessary to warrant that they understood the importance of complete and accurate data and records for data monitoring. Comprehensive on-the-job training on aspects on operations and maintenance were provided by the technology provider for a period of 24 months from the date of commissioning to the local engineers and staff to ensure knowledge transfer. In addition to this, qualified personnel were designated to handle and operate equipment and machinery at the project site. Project Activity Emissions Reductions Baseline emissions reductions were calculated based on the net electricity generated by the renewable energy generating unit multiplied by the grid emission factor. Deductions were made for project emissions due to consumption of coal, if any, and leakage due to transportation of biomass, when applicable. 21

22 4 QUANTIFICATION OF GHG EMISSION REDUCTIONS AND REMOVALS 4.1 Baseline Emissions Vintage wise baseline emissions: Baseline emissions 2009 = 23,284.35MWh * tco2/mwh = 11, tco2 Baseline emissions 2010 = 67,315.92MWh * tco2/mwh = 31, tco2 Baseline emissions 2011 = 14,486.37MWh * tco2/mwh = tco2 4.2 Project Emissions Total Project emissions: (8,040.7 ton * ( tco 2 /GJ * 30.5 GJ/ton)) = 24,451 tco 2 Vintage wise project emissions: Project emissions 2009 = 1,094.40tonnes * ( tco 2 /GJ * 30.5 GJ/ton) = tco2 Project emissions 2010 = 4,826.73tonnes * ( tco 2 /GJ * 30.5 GJ/ton) = 14, tco2 Project emissions 2011 = 2,119.57tonnes * ( tco 2 /GJ * 30.5 GJ/ton) = 6, tco2 4.3 Leakage Since the rice hulls are not transported over a distance of more than 400km, leakage emissions are not considered, thus total leakage emissions= Summary of GHG Emission Reductions and Removals Emission reductions 2009 = 11, = 7,708 Emission reductions2010 = 31, , = 17,230 Emission reductions2011 = , = 421 Total emission reductions: = 25,359 tco2e 5 ADDITIONAL INFORMATION The line diagram along with the metering locations has been provided below: 22

23 Location Measuring point Details 1 Trivector meter Gross generation meter 2 BFP-1 Auxiliary equipment 3 BFP-2 Auxiliary equipment 4 FD Fan Auxiliary equipment Aux. transformer (TRX 5 O/G) Auxiliary equipment 6 Tie Feeder Net generation meter 7 Spare meter for HT Motor Auxiliary equipment Spare meter for Aux. 8 trans. Auxiliary equipment 9 Penelco meter Net export to Penelco meter 23