Nuclear-renewable hybrid energy systems for non-electric applications

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Nuclear-renewable hybrid energy systems for non-electric applications Cost issues Saied Dardour 3E Analysis Unit Planning and Economic Studies Section Division of Planning, Information and Knowledge Management Department of Nuclear Energy International Atomic Energy Agency +43 1 2600 25154 s.dardour@iaea.org May 30, 2017

Outline System effects due to the introduction of Variable Renewable Energies (VREs) Costs related to the integration of VREs into existing grids Nuclear + VREs for nonelectric applications A basis for comparing the costs of different options available

System effects due to the introduction of Variable Renewable Energies (VREs)

System effects due to the introduction of Variable Renewable Energies (VREs) Power plants are not isolated. They are physically and economically interacting with each other. Interactions result in system effects. System effects are becoming increasingly important due to the introduction of Variable Renewable Energies (VREs).

Renewable electricity variability issues VREs have two characteristics potentially affecting grid-level system costs: They are located in areas with favorable meteorological conditions, often far from urban and industrial load centers. Extension of electricity distribution and transport grids. They have a variable output, impacting other power plants within the grid system. Dispatchable generation technologies (fossil- and nucleartype, hydro) need to be maintained to ensure security of supply. They will be operating at reduced load factors.

Renewable electricity variability issues Fluctuations in renewable power output Small, swift fluctuations (seconds to minutes) Slow variations (minutes to hours) Could affect the power system s stable operation Impact of a 35% share of renewable energy in the WestConnect area in the Western part of the US Illustration: NREL* Concentrated solar power Total load (upper blue line) Wind power Solar PV How variability issues are addressed? Important factors: Grid capacity Share of renewable electricity Strategies: More reserve capacity % of the installed variable capacity More interconnection +20 GW -3 GW Residual load covered by conventional power producers (lower blue line) 1 Week (most volatile meteorological conditions of the past three years) * How Do High Levels of Wind and Solar Impact the Grid? The Western Wind and Solar Integration Study, Technical Report, NREL/TP-5500-50057, December 2010

Costs related to the integration of variable renewables into existing grids

System costs System costs are the total costs above plant-level costs to supply electricity at a given load and given level of security of supply Total system costs Costs and benefits of integrating new capacity Other externalities: environmental, security of supply, cost of accidents, etc. Impact on other electricity producers Reduced prices and load factors of conventional plants in the short-run Re-configuration of the electricity system in the long-run Grid-level system effects Grid connection Grid-extension and reinforcement Short-term balancing costs Long-term costs for maintaining adequate back-up capacity Plant-level costs

Costs related to the integration of variable renewables into existing grids Two types of costs attached to the integration of renewables into existing grids: 1. Grid connection and upgrading costs Grid connection costs (IRENA, 2012) May be significant depending on geographic location of energy sources. ~ 5% of the investment cost for most technologies ~ 11-14 % for onshore wind farms ~ 15-30 % for offshore wind farms Grid upgrading costs (IRENA, 2015) ~ 0.5-3.0 Euro per MWh for a 20%-30% renewable (wind) electricity share 2. System operation costs Higher penetration of renewables reduced plant utilization of conventional power generation system Range (IRENA, 2015): ~ 15-25 Euro per MWh (depending on the electricity share)

Short-run impacts Renewables with zero marginal costs Impacts of the deployment of variable renewables on the load factors and profitability of dispatchable technologies in the short run Economical incentives to built new power plants Security of supply risks Profitability of dispatchable power plants Electricity produced by dispatchable power plants Electricity price on wholesale power markets NPP are capital-intensive plants with an operation cost almost independent from the amount of electricity generated Nuclear Energy and Renewables: System Effects in Low-carbon Electricity Systems OECD 2012

Nuclear + renewables for non-electric applications

Flexibility options The continuous matching of demand and supply could be achieved by: Demand side management Grid interconnections and market integration Dispatchable back-up capacity Load following Energy storage Coupling with external processes

Load following NPPs load following capabilities (as demonstrated in France and in Germany) are comparable to those of coal-fired power plants. OECD (2012): Nuclear Energy and Renewables, System Effects in Low-carbon Electricity Systems. New NPPs can operate at a power level as low as 25% of their rated capacity. Older designs cannot be operated for a prolonged period below 50% of their rated capacity. Although technically feasible, operation at reduced load factors affects the overall economics of the nuclear power plants.

Nuclear-renewable hybrid energy systems for non-electric applications External process Would serve as a buffer Continuous matching of demand and supply Variable, unforecastabl e, supply of electricity. VRE Would function at base (high) load Nuclear

Coupling with external processes The excess electricity / thermal power could be used for non-electric applications. This would limit the reduction of load factor due to the introduction of VREs. LWRs can be used to produce steam / hot water up to ~ 300 C. Steam can be produced by dedicated modules (SMRs) or by turbines operating in cogeneration mode. Illustration: NGNP Alliance Blog http://blog.ngnpalliance.org/2012/06/

In 2014, some 4% of global electricity consumption was used to extract, distribute and treat water and wastewater, along with 50 million tons of oil equivalent of thermal energy. Over the period to 2040, the amount of energy used in the water sector is projected to more than double. Desalination capacity rises sharply in [MENA] and demand for wastewater treatment (and higher levels of treatment) grows, especially in emerging economies. By 2040, 16% of electricity consumption in the Middle East is related to water supply.

Nuclear-renewable hybrid energy systems for seawater desalination Grid Excess heat Excess electricity LP steam MP steam Installed capacity ~ 100 10 6 m 3 / day Energy intensive processes Thermal systems (MED) can be fed with two types of steam pressures depending on the load factor of the power plant: Low pressure (LP) steam (MED), when the demand for electricity is high. Medium pressure (MP) steam (MED-TVC) or electricity (MED-MVC) when the demand for electricity is low. Thermal Desalination Seawater Reverse Processes (+) Osmosis Hybrid Systems Product water can be stored

Thermal processes vs. pure electrical systems Cogeneration benefits & constraints Process safety concerns Thermal or pure electrical processes? Colocation benefits & constraints Nuclear safety concerns

A basis for comparing the costs of different options available

Consider the electricity system as a whole: plant-level costs and gridlevel costs. Take into account differences in uncertainty profiles, project schedules and cash in- and out- flows vs. time. Quantifying prospective expenditures Evaluating project s risk adjusted value Quantifying future revenue streams Attaching uncertainties to project schedules & cash flows

Quantifying prospective expenditures Pre-construction and Construction Recurring Expenses: Operation and maintenance Provisions for future D&D and radioactive waste disposal activities Upgrades and Life Extensions Retirement, Decontamination and Decommissioning Quantifying future revenue streams Project ownership and governance aspects, Project business model, How the project is financed? How much debt? How much equity?, Shareholder reward policies, Accounting system how Depreciation and Amortization (D&A) and Taxes are taking into account, etc.

Evaluating project s risk adjusted value Discounting the expected cash flows using a risk-adjusted discount rate. Observing how much the market discounts the value of assets of similar risk. Applying probabilistic approaches Scenario analysis, Decision trees, Monte-Carlo simulations or two relatively new tools in risk assessment: Value-at-Risk or VaR, focused primarily on dowside risk, Real options, more oriented towards upside risk and its payoff. Attaching uncertainties to project schedules & cash flows Define and attach uncertainties to the project s taks durations and cash flows. Propagate these uncertainties through the project s Gantt diagram. Determine the distribution of project outcomes. Assess the probabilities of project success or failure. Rank project s variables taking into account their impact on project outcomes. Identify tasks worth tracking during project execution.

Thank you!