1 March 2-3, 2015, Bonn Expert workshop Addressing Variable Renewables In Long‐Term Energy Planning (AVRIL) Renewables Energy Integration In Long‐Term.

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Presentation transcript:

1 March 2-3, 2015, Bonn Expert workshop Addressing Variable Renewables In Long‐Term Energy Planning (AVRIL) Renewables Energy Integration In Long‐Term Energy Planning Tunisian case : Current situation and challenges Tunisian Company of Electricity and Gas

2 Content 1.Tunisian current energy context 2.National energy strategy 3.Power generation planning process 4.Results of RES integration approach 5.Perspectives

3 1. Tunisian current energy context Need for an Energy transition Structural deficit in energy balance (41% in 2014) 75% of NG global demand for power generation Continuous increase of the electricity demand (5%/y) Reliance on NG for power generation (97%) Limited electricity exchange through the neighboring countries Increase of energy price subsidies

4 2. National energy strategy Aim : Energy supply security Development of Renewable Energy Sources (RES) is one of the axis of the new energy strategy RES 30% National target for 2030 : Increasing the share of RES in the Electrical Energy Mix up to 30% Diversification of energy sources Energy Efficiency

5 2. National energy strategy - Continuous updating of the Tunisian Solar Plan - A project-law about power generation from RES is under study

6 2. National energy strategy To take into consideration - Competitive - Creating jobs - Free CO 2 emissions - Intermittent - High investment costs - Need for pumped storage stations - Need for flexible generation units - Need for back up capacities

7 3. Power generation planning process  Load duration curve  Current power generation  Retirements  Candidates power plants  Projected fuel prices  Constraints :  Reserve Margin  LOLP  … Used model : Wien Automatic System Planning Package WASP (developed by IAEA)  Long term power generation expansion  Power plant generation  Annual expenses (investment, fuel, O&M, ENS)  … Methodology (Investment+ Fuel + O&M + ENS) Developing power generation at least cost approach (Investment+ Fuel + O&M + ENS) with adequate service quality

8 RES integration approach in generation planning RES Optimal IntegrationPredefined target intermittence RES fuel saving : Given its intermittence, RES are modeled to operate in fuel saving : Step 1 Developing a long-term power generation plan without RES considering reliability constraints. Step 2 Modeling RES as (i) thermal power plants with no consumed fuel and with availability considered as load factor or (ii) hydro plant. Step 3 Integrating RES up to that investment commitments balance fuel saving costs. Integrating RES up to predefined target. 3. Power generation planning process

9 Case 1 : RES Optimal Integration Reference : What possible energy mix in Tunisia on 2030 ? (Study STEG-WB, 2013) Case Study 4. Results of RES integration approach Energy generation by fuel type RES Impact on reliability

10 Case 2 : 30% RES (Predefined target) Reference : What possible energy mix in Tunisia on 2030 ? (Study STEG-WB, 2013) Case Study 4. Results of RES integration approach Energy generation by fuel type RES Impact Saving fuel overcapacity (off peak problem) Power generation overcapacity (off peak problem)

11 WASP Limits  Due to use of LDC, WASP can not model properly PV plants (No difference between morning and evening peaks).  Despite the WASP ability of periodic modeling, using the RES hourly profile generation is necessary. 4. Results of RES integration approach

12 valid only for predefined projects  Use other RES integration approaches such as considering residual electricity demand (valid only for predefined projects). This approach consists in : 5. Perspectives Defining hourly profiles of power generation from RES projects. Deducing, from electricity demand curve, the energy generation from RES. Optimizing power generation plan with the residual electricity demand.  Use other planning model which can properly model RES (by using load curve) such as MESSAGE model (§ IAEA Workshop / Tunisia, 2013).

13 Expert workshop Addressing Variable Renewables in Long‐Term Energy Planning (AVRIL) Thank you for your attention Emna BALI Studies and Planning Management Tunisian Company of Electricity and Gas