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Excel Database of State Wise Feed-In Tariffs of Power Generating Sources-2014 
Databook: November, 2014 Price: INR 30,000/600 USD 
a division of 
Precision Research and Consulting Private Limited 
www.idatainsights.com
Excel Database of State Wise Feed in Tariffs of Power Generating Sources-2014 iData Insights 
Given that the effects of energy efficiency measures tend to be offset by a greater energy consumption that comes with economic growth, these measures, while important, will not by themselves be sufficient to achieve major reductions in emissions – making the move toward cleaner energy a rising priority for climate change mitigation. 
Under a feed-in tariff policy, governments set prices (often at a premium) for different types of renewable power to compensate producers for the higher cost of producing clean energy. Utilities are then required to purchase power from renewable resources at this price—but have the option of either spreading the additional costs across their entire customer base or receiving compensation from the government to recover the incremental costs. Feed-in tariffs thus essentially subsidize renewable energy sources to make them cost-competitive with fossil-fuel-based technologies. 
Although feed-in tariff policies have gained worldwide popularity, their cost effects have become a primary concern for policy makers in many countries. Whether the rising costs are recovered from ratepayers or taxpayers, they can create both political and economic pressures. Households in developing countries are particularly vulnerable to rising tariffs, as spending on energy accounts for a larger share of their incomes than for households in developed countries. 
To better understand the effectiveness of existing feed-in tariff policies and learn how their design might be improved, we formed a database of feed-in tariff policies of Power Generating Sources of different states in India. Our study is focused on providing the information about different state wise feed in tariffs in excel format highlighting different fields. This database is inexpensive for Power generators, distributors and suppliers. They can know the tariff rates in different states and can plan their business accordingly. 
Finally, our database shows that the design of the overall electricity market matters. A competitive market tends to be more conducive to renewable deployment. One possible explanation is that wholesale competition raises the upside potential of renewable investments because many countries allow renewable energy generators to sell their power directly in the open exchange. This enables renewable developers to benefit from higher market prices, especially during the peak demand periods. 
States Covered: Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Chhattisgarh, Gujarat, Haryana, Himachal Pradesh, Jammu and Kashmir, Jharkhand, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Manipur, Mizoram, Meghalaya, Nagaland, Orissa, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttarakhand, Uttar Pradesh, West Bengal, Goa, 
Union Territories Covered: Delhi, Andaman Nicobar, Chandigarh, Dadra and Nagar Haveli, Daman & Diu, Lakshadweep, Pondicherry. 
©Precision Research and Consulting Private Limited 2
Excel Database of State Wise Feed in Tariffs of Power Generating Sources-2014 iData Insights 
Table of Contents: (Draft) 
1. RE Policies 
iv. Taxes and Duties 
2. EE Policies 
v. Late Payment surcharge 
3. Wind Policy 
f. References 
a. Tariff Regulations / or Order or Draft 
7. Biomass Policy 
b. Control period 
a. Tariff Regulations / or Order or Draft 
c. Tariff (Rs/kWh) 
b. Control period 
d. Financial Parameters 
c. Tariff (Rs/kWh) 
i. Capital Cost (lakh/MW) 
d. Financial Parameters 
e. Normative Parameters 
i. Capital Cost (lakh/MW) 
i. Capacity Utilisation Factor (%) 
e. Normative Parameters 
ii. Useful life (yrs) 
i. Specific Heat Rate (kcal/kWh) 
iii. Subsidy and incentive by Central /State Govt 
ii. Capacity Utilisation Factor (%) 
iv. Taxes and Duties 
iii. Useful life (yrs) 
v. Late Payment surcharge 
iv. Plant Load Factor (%) 
f. References 
v. Fuel Cost (Rs/MT) 
4. Solar PV Policy 
vi. Subsidy and incentive by Central /State Govt 
a. Tariff Regulations / or Order or Draft 
vii. Taxes and Duties 
b. Control period 
viii. Late Payment surcharge 
c. Tariff (Rs/kWh) 
f. References 
d. Financial Parameters 
8. Small Hydro Policy 
i. Capital Cost (lakh/MW) 
a. Tariff Regulations / or Order or Draft 
e. Normative Parameters 
b. Control period 
i. Capacity Utilisation Factor (%) 
c. Tariff (Rs/kWh) 
ii. Useful life (yrs) 
d. Financial Parameters 
iii. Subsidy and incentive by Central /State Govt 
i. Capital Cost (lakh/MW) 
iv. Taxes and Duties 
e. Normative Parameters 
v. Late Payment surcharge 
i. Specific Heat Rate (kcal/kWh) 
f. References 
ii. Capacity Utilisation Factor (%) 
5. Solar Thermal Policy 
iii. Useful life (yrs) 
a. Tariff Regulations / or Order or Draft 
iv. Plant Load Factor (%) 
b. Control period 
v. Fuel Cost (Rs/MT) 
c. Tariff (Rs/kWh) 
vi.Subsidy and incentive by Central /State Govt 
d. Financial Parameters 
vii. Taxes and Duties 
i. Capital Cost (lakh/MW) 
viii. Late Payment surcharge 
e. Normative Parameters 
f. References 
i. Capacity Utilisation Factor (%) 
9. Municipal Solid Waste (MSW) Policy 
ii. Useful life (yrs) 
a. Tariff Regulations / or Order or Draft 
iii. Subsidy and incentive by Central /State Govt 
b. Control period 
iv. Taxes and Duties 
c. Tariff (Rs/kWh) 
v. Late Payment surcharge 
d. Financial Parameters 
f. References 
i. Capital Cost (lakh/MW) 
6. Bagasse Co-generation Policy 
e. Normative Parameters 
a. Tariff Regulations / or Order or Draft 
i. Specific Heat Rate (kcal/kWh) 
b. Control period 
ii. Capacity Utilisation Factor (%) 
c. Tariff (Rs/kWh) 
iii. Useful life (yrs) 
d. Financial Parameters 
iv. Plant Load Factor (%) 
i. Capital Cost (lakh/MW) 
v. Fuel Cost (Rs/MT) 
e. Normative Parameters 
vi.Subsidy and incentive by Central /State Govt 
i. Capacity Utilisation Factor (%) 
vii. Taxes and Duties 
ii. Useful life (yrs) 
viii. Late Payment surcharge 
iii. Subsidy by Central /State Govt 
f. References ©Precision Research and Consulting Private Limited 3
Excel Database of State Wise Feed in Tariffs of Power Generating Sources-2014 iData Insights 
Order Form 
I would like to procure research report “Excel Database of State Wise Feed in Tariffs of Power Generating Sources-2014” priced at INR 30,000/600 USD. 
Note: 1. Additional INR 5000 / 100 USD for Hard Copy printing 
Name (Block Letters) _________________________________ Designation_______________________ 
Company__________________________________________________________________________ 
Mailing Address_____________________________________________________________________ 
Telephone__________________________________Mobile__________________________________ 
Fax_______________________________________E-mail___________________________________ 
Wire Transfer Details: 
For Cheque /Demand Draft: 
Beneficiary: Precision Research and Consulting Private Limited 
I am enclosing a cheque/demand draft of 
Bank Name: ICICI Bank Ltd. 
INR/US$: 
Bank Account No.:664305500082 
Vide Cheque/DD No: 
IFSC Code: ICICI0006643 
Drawn On: 
Swift Code: ICICINBBCTS 
Dated: 
Bank Address: J-8, Vikas Puri, New Delhi- 110018 (INDIA) 
In Favour of: 
Contact Details: 
Corporate Office: 
K Venkat 
Precision Research and Consulting Limited 
Tel: +91-11-45544187 
216, Vishwadeep Tower, District Centre, 
Mobile: +91-8527803963 
Janak Puri, New Delhi-110058 venkat@idatainsights.com 
Phone-011-41630406 research@idatainsights.com www.idatainsights.com, info@idatainsights.com ©Precision Research and Consulting Private Limited 4

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Excel Database of State Wise Feed-In Tariffs of Power Generating Sources-2014

  • 1. Excel Database of State Wise Feed-In Tariffs of Power Generating Sources-2014 Databook: November, 2014 Price: INR 30,000/600 USD a division of Precision Research and Consulting Private Limited www.idatainsights.com
  • 2. Excel Database of State Wise Feed in Tariffs of Power Generating Sources-2014 iData Insights Given that the effects of energy efficiency measures tend to be offset by a greater energy consumption that comes with economic growth, these measures, while important, will not by themselves be sufficient to achieve major reductions in emissions – making the move toward cleaner energy a rising priority for climate change mitigation. Under a feed-in tariff policy, governments set prices (often at a premium) for different types of renewable power to compensate producers for the higher cost of producing clean energy. Utilities are then required to purchase power from renewable resources at this price—but have the option of either spreading the additional costs across their entire customer base or receiving compensation from the government to recover the incremental costs. Feed-in tariffs thus essentially subsidize renewable energy sources to make them cost-competitive with fossil-fuel-based technologies. Although feed-in tariff policies have gained worldwide popularity, their cost effects have become a primary concern for policy makers in many countries. Whether the rising costs are recovered from ratepayers or taxpayers, they can create both political and economic pressures. Households in developing countries are particularly vulnerable to rising tariffs, as spending on energy accounts for a larger share of their incomes than for households in developed countries. To better understand the effectiveness of existing feed-in tariff policies and learn how their design might be improved, we formed a database of feed-in tariff policies of Power Generating Sources of different states in India. Our study is focused on providing the information about different state wise feed in tariffs in excel format highlighting different fields. This database is inexpensive for Power generators, distributors and suppliers. They can know the tariff rates in different states and can plan their business accordingly. Finally, our database shows that the design of the overall electricity market matters. A competitive market tends to be more conducive to renewable deployment. One possible explanation is that wholesale competition raises the upside potential of renewable investments because many countries allow renewable energy generators to sell their power directly in the open exchange. This enables renewable developers to benefit from higher market prices, especially during the peak demand periods. States Covered: Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Chhattisgarh, Gujarat, Haryana, Himachal Pradesh, Jammu and Kashmir, Jharkhand, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Manipur, Mizoram, Meghalaya, Nagaland, Orissa, Punjab, Rajasthan, Sikkim, Tamil Nadu, Tripura, Uttarakhand, Uttar Pradesh, West Bengal, Goa, Union Territories Covered: Delhi, Andaman Nicobar, Chandigarh, Dadra and Nagar Haveli, Daman & Diu, Lakshadweep, Pondicherry. ©Precision Research and Consulting Private Limited 2
  • 3. Excel Database of State Wise Feed in Tariffs of Power Generating Sources-2014 iData Insights Table of Contents: (Draft) 1. RE Policies iv. Taxes and Duties 2. EE Policies v. Late Payment surcharge 3. Wind Policy f. References a. Tariff Regulations / or Order or Draft 7. Biomass Policy b. Control period a. Tariff Regulations / or Order or Draft c. Tariff (Rs/kWh) b. Control period d. Financial Parameters c. Tariff (Rs/kWh) i. Capital Cost (lakh/MW) d. Financial Parameters e. Normative Parameters i. Capital Cost (lakh/MW) i. Capacity Utilisation Factor (%) e. Normative Parameters ii. Useful life (yrs) i. Specific Heat Rate (kcal/kWh) iii. Subsidy and incentive by Central /State Govt ii. Capacity Utilisation Factor (%) iv. Taxes and Duties iii. Useful life (yrs) v. Late Payment surcharge iv. Plant Load Factor (%) f. References v. Fuel Cost (Rs/MT) 4. Solar PV Policy vi. Subsidy and incentive by Central /State Govt a. Tariff Regulations / or Order or Draft vii. Taxes and Duties b. Control period viii. Late Payment surcharge c. Tariff (Rs/kWh) f. References d. Financial Parameters 8. Small Hydro Policy i. Capital Cost (lakh/MW) a. Tariff Regulations / or Order or Draft e. Normative Parameters b. Control period i. Capacity Utilisation Factor (%) c. Tariff (Rs/kWh) ii. Useful life (yrs) d. Financial Parameters iii. Subsidy and incentive by Central /State Govt i. Capital Cost (lakh/MW) iv. Taxes and Duties e. Normative Parameters v. Late Payment surcharge i. Specific Heat Rate (kcal/kWh) f. References ii. Capacity Utilisation Factor (%) 5. Solar Thermal Policy iii. Useful life (yrs) a. Tariff Regulations / or Order or Draft iv. Plant Load Factor (%) b. Control period v. Fuel Cost (Rs/MT) c. Tariff (Rs/kWh) vi.Subsidy and incentive by Central /State Govt d. Financial Parameters vii. Taxes and Duties i. Capital Cost (lakh/MW) viii. Late Payment surcharge e. Normative Parameters f. References i. Capacity Utilisation Factor (%) 9. Municipal Solid Waste (MSW) Policy ii. Useful life (yrs) a. Tariff Regulations / or Order or Draft iii. Subsidy and incentive by Central /State Govt b. Control period iv. Taxes and Duties c. Tariff (Rs/kWh) v. Late Payment surcharge d. Financial Parameters f. References i. Capital Cost (lakh/MW) 6. Bagasse Co-generation Policy e. Normative Parameters a. Tariff Regulations / or Order or Draft i. Specific Heat Rate (kcal/kWh) b. Control period ii. Capacity Utilisation Factor (%) c. Tariff (Rs/kWh) iii. Useful life (yrs) d. Financial Parameters iv. Plant Load Factor (%) i. Capital Cost (lakh/MW) v. Fuel Cost (Rs/MT) e. Normative Parameters vi.Subsidy and incentive by Central /State Govt i. Capacity Utilisation Factor (%) vii. Taxes and Duties ii. Useful life (yrs) viii. Late Payment surcharge iii. Subsidy by Central /State Govt f. References ©Precision Research and Consulting Private Limited 3
  • 4. Excel Database of State Wise Feed in Tariffs of Power Generating Sources-2014 iData Insights Order Form I would like to procure research report “Excel Database of State Wise Feed in Tariffs of Power Generating Sources-2014” priced at INR 30,000/600 USD. Note: 1. Additional INR 5000 / 100 USD for Hard Copy printing Name (Block Letters) _________________________________ Designation_______________________ Company__________________________________________________________________________ Mailing Address_____________________________________________________________________ Telephone__________________________________Mobile__________________________________ Fax_______________________________________E-mail___________________________________ Wire Transfer Details: For Cheque /Demand Draft: Beneficiary: Precision Research and Consulting Private Limited I am enclosing a cheque/demand draft of Bank Name: ICICI Bank Ltd. INR/US$: Bank Account No.:664305500082 Vide Cheque/DD No: IFSC Code: ICICI0006643 Drawn On: Swift Code: ICICINBBCTS Dated: Bank Address: J-8, Vikas Puri, New Delhi- 110018 (INDIA) In Favour of: Contact Details: Corporate Office: K Venkat Precision Research and Consulting Limited Tel: +91-11-45544187 216, Vishwadeep Tower, District Centre, Mobile: +91-8527803963 Janak Puri, New Delhi-110058 venkat@idatainsights.com Phone-011-41630406 research@idatainsights.com www.idatainsights.com, info@idatainsights.com ©Precision Research and Consulting Private Limited 4