cii performance excellence awards 2020 for solar and wind

© Confederation of Indian Industry

CII Performance Excellence Awards 2020 for Solar and Wind Plants

Category – Wind

Ostro Dakshin Power Private Ltd

Taralkatti

Amit Gandhi (Sr. Manager)

Suresh Dhange (Manager)

01 – 03 December 2020


About the Plant

Site – Taralkatti (100 MW, 50 x 2MW)

OEM - Vestas

Model : V110

GSS - 220/110/33KV_Kustagi

Discom - GESCOM

Policy Type – Feed in Tariff

Add: Tal-Yelburga , Dist-Koppal, Karnataka

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Monitoring & Troubleshooting

24x7 Real time monitoring & Control

through RPC3 & RPDC

Advanced AnalyticsDiagnostics and Prognostics through Dedicated Platform (ReD.)

Capability BuildingOnsite Training & Development

Programs

Corporate Social Responsibility

Dry ration distribution in

COVID 19

GovernanceReCAT for legal

compliance, Regulatory

compliances on top

Safety On Top0 Fatality & LTI, safety in collaboration with

OEM, One click Safety KPI’s in Gensuite portal

AEP ControlLPF based AEP Drive


Detailed Evaluation Criteria

Category Criteria Unit Value

Design

Hub height m 110

Wind zone zone Class 3

Wind speed m / s 7 m/s annual average

Latitude & longitude of plant location °N, °E 15.604694, 76.1124170

PerformanceEnergy injected into the grid(01 Apr 2019 – 31 Mar 2020)

MWh / MW 3,072

O&M

Plant availability, excluding grid availability % 98.1%

Certification as per:i) ISO 18001ii) ISO 14001

Y / NY / N

i) Yii) Y

O&M cost (includes costs covering salary, admin, inventory, insurance & statutory)

Rs (lakh) / MW / yr ₹ 11.1 Lakh/MW/Year

Scheduling & forecasting capabilities in-house Y / N N

Levelised cost of electricity Rs / kWh ₹ 4.5/kWh

Grid curtailment Y / N Yes


Initiatives to Increase Annual Generation

Reduction in Curtailment due to technical Issues by strengthening of GSS and upstream 220kV network – Loss FY19- 457.7 Lakhs Loss FY-20 – 8.8 Lakhs – Saving: 449 Lakhs

Bay strengthening and CT replacement completed

Kustagi GSS - 220kV Bus Segregation

Technical Curtailment Minimization

• Installed bird guards at Jumper and Cut-points to avoid tripping’s

• Installed group/ cluster isolators for faster identification faults in internal network

Stabilization of Grid network

• Renew power control and command center is established to monitor asset on 24X7 basis to reduce MTTR

24 x 7 Monitoring through ReNew Power Command and Control Centers

• Blade health assessment using drone inspection and Blade cleaning using water to improve the PC performance in LWS

Blade Health Assessment


Innovative O&M Initiatives

Self O&M Wind

Value Proposition: Strong governance, safety standards, yield and reliabilityimprovement, lifecycle management and cost optimization on top of conventional O&M offering through digital-based value-added services

Key highlights so far

429 MW of Wind Asset under Self O&M

▪ Experience in maintaining OEMs such as Inox, ReGen, Senvion (Kenersys)

and SGRE built in year time and continue

ReD.

▪ Deliver tangible business value

▪ Generation Enhancement Measures

▪ Embed digital and advanced analytics as new way of working

▪ Set up a central Analytics Lab

▪ Build people capabilities across functions

A initiative for analysis & data based decisions

Launched ReD in Sept ’2019, inhouse digital and analytics transformation program to boost operational efficiency by 2% at portfolio level

~20% O&M cost saving’s per year is anticipated


Innovative O&M Initiative – ReD (ReNew Digital)

• Identifying losses for each turbine w.r.t design power curve, while taking into account conditions such as topography, wind speed, density and pressure allows for improvement across several parameters to achieve maximum yield

• The aim is to improve productivity of each turbine within a range of 1%-10% by correcting addressable online losses without any additional CAPEX spend

• Bifurcation of addressable / non-addressable underperformance

Overall Yield Improvement use case | ~2-2.5% value

• Automatically finding the instances for de-rated turbines due to Over temperature of components, Voltage, IGBT stacks, Manual intervention , etc. and rectify the same

De-rating Use Case | 0.01% value

• To identify optimum yaw offset angle from historical SCADA data and implement identified offset (flow + physical) values in WTG's for fatigue loads optimization & annual generation improvements

Yaw Offset – Flow correction use case | 0.2-0.3% value

• Developed in-house drive train ML model to predict component issues well ahead of complete failures

Condition Monitoring – Sensor and SCADA based | Incremental value

SCADA/ FTP

APIData

PipelineML Model

Model output

Power BI

Dashboard


Innovative O&M Initiatives

IT Enabled Business Solutions

▪ Developed various dashboards on Power-BI

application

▪ Real-time information and monitoring of O&M

▪ Transparency and single truth of data

▪ Visualization and compilation of data as per user

specific requirements

Material Consumption

Preventive Maintenance

Critical Equipment Warranty

Inventory ManagementCurtailment Management


O&M cost reduction

▪ Deployed CBM - early detection of major failures including generator, gearbox, bearings through implemented SCADA solution and sensor base. Anticipating 0.15%* annual increment in energy production and early fault detection reduces inventory costs

It cuts lead time for spare procurement by 50%

▪ e-BoP thermography model established d. for internal and external networks to ensure optimum uptime

of Grid through developing a machine learning model to check all the images for abnormality taken by

camera without much manual intervention. Value realized @ 10-15 lakhs/ annum

Technology Initiatives

▪ Systematic ‘Asset health assurance’ program for reliability of assets

▪ Implemented ‘Road to Excellence’ to attain highest quality of each process

▪ Enhancement in energy-based availability through Lost Production Factor based performance control

▪ Uninterrupted operation during High Wind period through PSPP (Peak season preparedness Plan)

▪ Business continuation by complimenting and supplementing OEMs technically as well as financially

Improved Systems & Processes


Future Plan

In-house PredictiveAnalysis with ML

▪ Under ReD, deployed ML model for 1 OEM drive train and plan to develop/ deployment by end of 2021 for full fleet

In-house Scheduling & Forecasting

▪ Climate connect is already acquired to achieve best-in-class S&F in the market for full portfolio

Self O&M

▪ Deployment of sites under self O&M to reduce overall cost and improve generations


THANK YOU

cii performance excellence awards 2020 for solar and wind

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