Silvio Pereira-Cardenal

ORCID: 0000-0003-2803-5320
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About
Contact & Profiles
Research Areas
  • Water-Energy-Food Nexus Studies
  • Water resources management and optimization
  • Energy and Environment Impacts
  • Hydrology and Watershed Management Studies
  • Electric Power System Optimization
  • Hybrid Renewable Energy Systems
  • Hydrology and Drought Analysis
  • Flood Risk Assessment and Management
  • Integrated Energy Systems Optimization
  • Water Systems and Optimization

Cowi (Denmark)
2014-2021

Technical University of Denmark
2010-2016

Danish Geotechnical Society
2014

Abstract. Water infrastructure investment planning must consider the interdependencies within water–energy–food nexus. Moreover, uncertain future climate, evolving socio-economic context, and stakeholders with conflicting interests, lead to a highly complex decision problem. Therefore, there is need for support tools objectively determine value of investments, considering impacts on different groups actors, risks linked uncertainties. We present new open-source hydro-economic optimization...

10.5194/hess-23-4129-2019 article EN cc-by Hydrology and earth system sciences 2019-10-08

Abstract. Many river basins have a weak in-situ hydrometeorological monitoring infrastructure. However, water resources practitioners depend on reliable hydrological models for management purposes. Remote sensing (RS) data been recognized as an alternative to in remote and poorly monitored areas are increasingly used force, calibrate, update models. In this study, we evaluate the potential of informing basin model with real-time radar altimetry measurements over reservoirs. We present...

10.5194/hess-15-241-2011 article EN cc-by Hydrology and earth system sciences 2011-01-21

Water scarcity and rapid economic growth have increased the pressure on water resources environment in Northern China, causing decreased groundwater tables, ecosystem degradation, direct losses due to insufficient supply. The authors applied value method, a variant of stochastic dynamic programming, optimize management Ziya River basin. Natural runoff from upper basin was estimated with rainfall-runoff model autocalibrated using situ measured discharge. serial correlation described by Markov...

10.1061/(asce)wr.1943-5452.0000482 article EN cc-by Journal of Water Resources Planning and Management 2014-09-15

The Amazon Basin, the world’s largest watershed, plays a critical role in regulating global water and biogeochemical cycles. Given its importance, addressing region’s growing environmental, social, economic challenges requires an integrated approach to sustainable development. This study documents development application of water-energy-food nexus model support Cooperation Treaty Organization (ACTO) Inter-American Development Bank (IADB) evaluating infrastructure policy...

10.5194/egusphere-egu25-19460 preprint EN 2025-03-15

Hydroeconomic models have been used to determine policies for efficient allocation of scarce water resources. Hydropower benefits are typically represented through exogenous electricity prices, but these do not consider the effect that power market can on hydropower release policy and vice versa. To improve representation in hydroeconomic models, an application stochastic dynamic programming, known as value method, was maximize irrigation while minimizing costs generation within a market....

10.1061/(asce)wr.1943-5452.0000500 article EN Journal of Water Resources Planning and Management 2014-12-31

Water, energy, and agricultural infrastructure investments have important inter-relations fulfilling potentially competing objectives. When shaping investment plans, decision makers need to evaluate those interactions the associated uncertainties. We compare planning under uncertainty with an integrated water-energy-food nexus framework sector-centered (silo) frameworks. use WHAT-IF, open-source hydroeconomic support tool a holistic representation of power agriculture sectors. The is applied...

10.3389/frwa.2021.672382 article EN cc-by Frontiers in Water 2021-05-21

Abstract. Water infrastructure investment planning must consider the interdependencies within water-energy-food nexus. Moreover, uncertain future climate, evolving socio-economic context, and stakeholders with conflicting interests, lead to a highly complex decision problem. Therefore, there is need for support tools objectively determine value of investments, considering impacts on different groups actors, risks linked uncertainties. We present new open-source hydroeconomic optimization...

10.5194/hess-2019-167 preprint EN cc-by 2019-04-23

Perfect foresight hydroeconomic optimization models are tools to evaluate impacts of water infrastructure investments and policies considering complex system interlinkages. However, when assuming perfect foresight, optimal management decisions found knowledge climate runoff, which might bias the economic evaluation policies. We investigate by using Model Predictive Control (MPC) as an alternative. apply MPC in WHAT-IF, a model, for two study cases: synthetic setup inspired Nile River,...

10.3389/frwa.2021.778003 article EN cc-by Frontiers in Water 2021-12-14

Abstract. Many river basins have a weak in-situ hydrometeorological monitoring infrastructure. However, water resources practitioners depend on reliable hydrological models for management purposes. Remote sensing (RS) data been recognized as an alternative to in remote and poorly monitored areas are increasingly used force, calibrate, update models. In this study, we evaluate the potential of informing basin model with real-time radar altimetry measurements over reservoirs. We present...

10.5194/hessd-7-8347-2010 preprint EN cc-by 2010-10-25

Perfect foresight hydroeconomic optimization models are tools to evaluate impacts of water infrastructure investments and policies considering complex system interlinkages. However, when assuming perfect foresight, management decisions found knowledge climate runoff, which might bias the economic evaluation policies. We investigate by using Model Predictive Control (MPC) as an alternative. apply MPC in WHAT-IF, a model, for two study cases: synthetic setup inspired Nile River, large-scale...

10.1002/essoar.10504115.1 preprint EN 2020-09-02
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