Role of solar PV prosumers in enabling the energy transition towards a fully renewables based power system for India

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Role of solar PV prosumers in enabling the energy transition towards a fully renewables based power system for India Manish Ram, Ashish Gulagi and Christian Breyer Lappeenranta University of Technology Dominik Keiner Ostbayerische Technische Hochschule 1st International Conference on Large-Scale Grid Integration of RE, New Delhi, September 6-8, 2017

Agenda Introduction Methodology & Assumptions Results Summary 2

Development of Solar in India The government of India has set out ambitious plans of increasing shares of renewable energy in the country s installed energy mix to 175 GW by 2022 and around 350 GW by 2031, according to the National Electricity Plan from the CEA Accordingly, the government has further revised its solar energy target to 100 GW of installed solar power capacity until 2022 and further up to 250 GW by 2030 These national targets have direct and significant implications for the residential sector as 40 GW is expected to come from rooftop solar PV systems across the country by 2022 Installed Capacity GW Total Renewables 57 Utility scale Solar PV 10.9 Rooftop Solar PV 1.4 source: CEA, Monthly Report Installed Capacity for March 2017. 3

PV Prosumer Prosumers are end-use consumers of electricity who also produce their own electricity at the point of consumption Also, to meet their own electricity needs by storing, to export electricity to the grid (the electricity system), or some combination of both The major policies that enable development of prosumers are net-metering and feed-in tariffs Net-metering guarantees grid access and a feed-in tariff ensures an incentive for fed-in electricity Rooftop solar PV installations in 2016 had a share of 25-30% of the total solar PV installed around the world In India the share of rooftop PV has been around 10-12% of overall installed solar capacity, which is much lower than other key markets such as US, Germany, China, Spain and Australia, where the rooftop PV ratios can go up to 90% 4

Agenda Introduction Methodology & Assumptions Results Summary 5

Methodology The total annual energy cost of the PV prosumer is estimated as indicated in the following equation: Annual Energy Cost = i technology (Capex i crf i + Opex fix,i + Opex var,i E throughput,i ) + Cost grid Income feed-in The annual energy cost is to be minimised over the year with optimal combination of solar PV and Battery capacity which range from 1-10 kwp and 1-15 kwhcap respectively The capital recovery factor (crf) is calculated according to the following equation: WACC is set at 4% per year for residential rooftop solar PV systems and lithium-ion batteries For a better perspective on the performance of the different components, two scenarios were considered which are, the prosumer without an electric vehicle and the prosumer with an electric vehicle and these are simulated for all 5-year periods from 2015 to 2050, eventually the model estimates the least cost configuration of PV and battery capacity. 6

Household electricity profile for India from 2015-50 The average household electricity consumption rises from 1129 kwh/a in 2015 to 6024 kwh/a in 2050, with a high rate of population growth and GDP expected to grow at 8% per annum till 2030 and 6% beyond that 7

Hourly solar profile for India India has significant solar potential and as shown, the average annual yield for a solar PV fixed tilted system is 1641 kwh/kwp 8

9 Battery and Electric Vehicle (EV) assumptions Key assumptions for lithium-ion batteries: The battery is considered to be lithium-ion as indicated earlier, some of the technical assumptions are the same for the battery in the EV as well. The depth of discharge (DoD) is assumed at 95%, efficiency for one way charging is assumed at 96% for both the stationary battery and the battery in the EV and additionally, a safety buffer of 25% is assumed in case of the EV battery for emergency commutes The size of the battery for the EV was determined through the consideration of demand per journey of the EV, which is determined as JD EV - Journey Demand (kwh) DD annual - Driving Demand per annum (km/a) JD EV = (DD annual /N EV ) C EV N EV - Number of journeys of EV C EV - Consumption rate for EV (kwh/km) The EV considered in this case is based on average driving pattern of an Indian commuter It is considered to be used through the week for commuting to work and sparsely used in the weekends The capacity of the battery in the EV was estimated to be 60 kwh cap, considering average Indian commuter travels of around 10,000 km/a and conducts around 350 journeys at a consumption rate of 20 kwh/100 km

Financial assumptions Years PV Rooftop residential Capex ( /kw p ) Opex fix ( /kw p a) Lifetime (years) 2015 1360 20 30 2020 1169 17.6 30 2025 966 15.7 35 2030 826 14.2 35 2035 725 12.8 35 2040 650 11.7 40 2045 589 10.7 40 2050 537 9.8 40 Years Capex ( /kwh el ) Battery (Lithium) Opex fix ( /kwh el a) Opex var ( /kwh through ) Lifetime (years) 2015 600 24 0.0002 15 2020 300 12 0.0002 20 2025 200 8 0.0002 20 2030 150 6 0.0002 20 2035 120 4.8 0.0002 20 2040 100 4 0.0002 20 2045 85 3.4 0.0002 20 2050 75 3 0.0002 20 Grid Electricity Prices India Years /kwh 2015 0.06 2020 0.07 2025 0.09 2030 0.11 2035 0.14 2040 0.17 2045 0.20 2050 0.23 Key financial assumptions: The cost of solar PV, Battery and Grid electricity are as shown in the Tables. The feed-in tariff is assumed to be 0.02 /kwh (1.5 INR/kWh) and remains the same until 2050 Up to 50% of the total solar PV generation is allowed for feed-in remuneration and any excess over 50% is fed into the grid without any incentive. 10

Agenda Introduction Methodology &Assumptions Results Summary 11

Annual Energy Costs No EV Scenario 2015-50 12

Annual Energy Costs With EV Scenario 2015-50 13

Annual electricity cost developmet for No EV, With EV scnearios and grid electricty for 2015-50 Between 2020 and 2025 the annual electricity costs with PV plus battery is the same as grid electricity costs (PV-grid parity) Beyond this PV plus battery options result in substantial savings, as the annual electricity costs remain consistently low in comparison to the annual electricity costs from just grid supply, which keep increasing 14

Self Consumption Rate (SCR) and Demand Cover Rate (DCR) in both scenarios for 2015-50 The results of the prosumer cost optimisation show an increase in the self-consumption rate initially until 2025 (for both No EV and With EV scenario) and then decrease in the case of With EV scenario and fluctuate with a peak in 2035 (nearly 80%) in the No EV scenario The demand cover rate initially declines (in both No EV and With EV scenario) and then shoots up in 2030 when higher capacities of solar PV and battery are installed. The demand cover rate steadily increases from around 80-90% in 2030 to 98-100% in 2050 15

Electricity profile during a Summer Week for No EV scenario in 2015, 2030 and 2050 16

Electricity profile during a Summer Week for With EV scenario in 2015, 2030 and 2050 17

Agenda Introduction Methodology & Assumptions Results Summary 18

Summary As indicated from the results, PV prosumers can benefit greatly by maximising their self-consumption and result in a significant reduction of electricity costs round the year The size of the stationary battery is strongly dependent on the overall electricity demand and the utilisation of EVs and their demand pattern on a daily, as well as yearly basis With such high rates of demand coverage, PV prosumers certainly have the potential to decrease the overall supply demand gap With the rapidly declining costs, and enabling policies being pursued by the Indian government it is quite plausible to foresee a near future with a significant number of solar PV prosumers in the country Having assumed conservative costs of rooftop solar PV systems for this research shows that by 2025, PV plus battery can be cost competitive with grid supply, in reality the costs have been declining much faster especially in India, with this trend PV plus battery can be cost competitive even sooner, hence before 2020 19

Thanks for your attention! The authors gratefully acknowledge the public financing of Tekes, the Finnish Funding Agency for Innovation, for the Finnish Solar Revolution project under the number 880/31/2016. Further information and the complete paper at: www.researchgate.net/profile/christian_breyer