Modeling thermoelectric power generation in view of climate change

In this study we investigate how thermal power plants with once-through cooling could be affected by future climate change impacts on river water temperatures and stream flow. We introduce a model of a steam turbine power plant with once-through cooling at a river site and simulate how its production could be constrained in scenarios ranging from a one degree to a five degree increase of river temperature and a 10–50% decrease of stream flow. We apply the model to simulate a large nuclear power plant in Central Europe. We calculate annual average load reductions, which can be up to 11.8%, assuming unchanged stream flow, which leads to average annual income losses of up to 80 million €. Considering simultaneous changes in stream flow will exacerbate the problem and may increase average annual costs to 111 million € in a worst-case scenario. The model demonstrates that power generation could be severely constrained by typical climate impacts, such as increasing river temperatures and decreasing stream flow.

[1]  Peter Singer,et al.  One world , 2002 .

[2]  B. Menne,et al.  Impacts of Europe's changing climate – 2008 indicator based assessment , 2009 .

[3]  D. Vuuren,et al.  Modeling global residential sector energy demand for heating and air conditioning in the context of climate change , 2009 .

[4]  O. Dupont,et al.  An analysis of the July 2006 heatwave extent in Europe compared to the record year of 2003 , 2009 .

[5]  Timothy J. Skone,et al.  Water: A critical resource in the thermoelectric power industry , 2008 .

[6]  M. Beniston The 2003 heat wave in Europe: A shape of things to come? An analysis based on Swiss climatological data and model simulations , 2004 .

[7]  Ben Dziegielewski,et al.  Water use benchmarks for thermoelectric power generation. National institutes of water research , 2006 .

[8]  R. Sturm,et al.  Why does nuclear power performance differ across Europe , 1995 .

[9]  M. Ruth,et al.  Regional energy demand and adaptations to climate change: Methodology and application to the state of Maryland, USA , 2006 .

[10]  S. Mirasgedis,et al.  Modeling framework for estimating impacts of climate change on electricity demand at regional level: Case of Greece , 2007 .

[11]  O. Edenhofer,et al.  Mitigation from a cross-sectoral perspective , 2007 .

[12]  J. Lilliestam,et al.  Development of SuperSmart Grids for a more efficient utilisation of electricity from renewable sources , 2009 .

[13]  S. Schneider,et al.  Climate Change 2007 Synthesis report , 2008 .

[14]  P. Stott,et al.  Human contribution to the European heatwave of 2003 , 2004, Nature.

[15]  A. Iglesias,et al.  Measuring the risk of climate variability to cereal production at five sites in Spain , 2007 .

[16]  Stefan Vögele,et al.  Dynamic modelling of water demand, water availability and adaptation strategies for power plants to global change , 2009 .

[17]  Suzanne A Pierce,et al.  The energy challenge , 2008, Nature.

[18]  J. Canadell,et al.  Global and regional drivers of accelerating CO2 emissions , 2007, Proceedings of the National Academy of Sciences.

[19]  Marta Moneo Laín Drought and climate change impacts on water resources: management alternatives , 2011 .