Abstract

The design of water and energy systems has traditionally been done independently or considering simplified interdependencies between the two systems. This potentially misses valuable synergies between them and does not consider in detail the distribution of benefits between different sectors or regions. This paper presents a framework to couple integrated water-power network simulators with multi-objective optimisation under uncertainty to explore the implications of explicitly including spatial topology and interdependencies in the design of multi-sector integrated systems. A synthetic case study that incorporates sectoral dependencies in resource allocation, operation of multi-purpose reservoirs and spatially distributed infrastructure selection in both systems is used. The importance of explicitly modelling the distribution of benefits across different sectors and regions is explored by comparing different spatially aggregated and disaggregated multi-objective optimisation formulations. The results show the disaggregated formulation identifies a diverse set of non-dominated portfolios that enables addressing the spatial and sectoral distribution of benefits, whilst the aggregated formulations arbitrarily induce unintended biases. The proposed disaggregated approach allows for detailed spatial design of interlinked water and energy systems considering their complex regional and sectoral trade-offs. The framework is intended to assist planners in real resource systems where diverse stakeholder groups are mindful of receiving their fair share of development benefits.

Highlights

  • Investments in large water and energy infrastructures, such as dams, power plants, water transfers and transmission lines, are typically planned without rigorous consideration of the synergies and trade-offs between the two systems and by simplifying their spatial and sectoralApplied Energy 269 (2020) 114794 interdependencies [1,2,3,4,5,6]

  • Results help analyse the benefits of explicitly including spatial resources allocation interdependencies in optimised water-energy system design

  • Results show the disaggregated formulation explores the full extent of the water and energy frequency deficit metrics space, identifying a diverse set of non-dominated portfolios that explore the trade-offs among the regions and the sectors and finds portfolios that equitably distribute the resources without deteriorating the overall performance of the combined resource system

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Summary

Introduction

Investments in large water and energy infrastructures, such as dams, power plants, water transfers and transmission lines, are typically planned without rigorous consideration of the synergies and trade-offs between the two systems and by simplifying their spatial and sectoralApplied Energy 269 (2020) 114794 interdependencies [1,2,3,4,5,6]. The independent and spatially simplified planning of water and energy systems may lead to inefficient resource use and arbitrarily allocation of the benefits across the systems, which can exacerbate conflicts between regions and/or sectors, which may be further increased by the uncertainty associated with future energy and water demands and other unknowns like climate change [7,8,9,10,11,12] In this context, integrated and multi-objective planning for expansion of spatially distributed waterenergy systems under uncertainty can assist stakeholders in understanding interdependencies and trade-offs between both systems, thereby facilitating improved resource planning [11,12]. The interaction of water-related energy uses (hydropower, pumped storage) with the full energy system (thermal power plants, transmission lines) was not incorporated

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