Abstract

In order to develop a valued decision-support system for climate alteration policy and planning, recognizing the regionally-specific features of the climate change, energy-water nexus, and the history of the current and possible future climate, water and energy supply systems is necessary. This paper presents an integrated climate change, water/energy modeling platform which allows tailored climate alteration and water-energy assessments. This modeling platform is established and described in details based on particular regional circumstances. The modeling platform involves linking three different models, including the climate change model from Coupled Model Intercomparison Project Phase 5 under the most severe scenario (Representative Concentration Pathways, Water Evaluation, and Planning system and the Long-range Energy Alternatives Planning system). This is to understand the impacts of climate variability (changes in temperature and precipitation) on water and electricity consumption in Zayandeh Rud River Basin (Central Iran) for the current (1971–2005) and future time period (2006–2040). Climate models have projected that the temperature will increase by 7 °C and precipitation will decrease by 44%, it is also proposed that electricity imports will rise during a severe dry scenario in the basin, while power generation will decrease around 8%.

Highlights

  • About 16% of the world's electricity is produced annually by hydroelectric power plants

  • Climate-energy-water planning requires understanding of these impacts to elucidate the effects they might have on electricity requirements prospect

  • The results of this study indicate that by increasing 7 °C in temperature and decreasing 44% in precipitation, the electricity generation will decline by 4.5%

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Summary

Introduction

About 16% of the world's electricity is produced annually by hydroelectric power plants. Hydroelectric power generation is considered to be one of the most vulnerable sources of energy production in the face of climate change (CáceresSilva, 2000; Li et al, 2018 and Javadinejad (12), (14), (15), (16) et al, 2019). This is due to its direct dependency on the runoff and amount of water level (Vergara et al, 2011). Because of climate change effects, integration of the water and energy planning in this basin is crucial

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