A5043201525- Integrated Energy Systems Optimization
- Electric Vehicles and Infrastructure
- Optimal Power Flow Distribution
- Hybrid Renewable Energy Systems
- Power System Optimization and Stability
- Global Energy and Sustainability Research
- Smart Grid Energy Management
- Islanding Detection in Power Systems
- Advanced Battery Technologies Research
- Innovation and Socioeconomic Development
- Energy and Environment Impacts
- Firm Innovation and Growth
- Energy, Environment, and Transportation Policies
- Environmental Impact and Sustainability
- Climate Change Policy and Economics
- Biotechnology and Related Fields
- Power System Reliability and Maintenance
- Transportation and Mobility Innovations
- Energy Load and Power Forecasting
- Power Systems Fault Detection
- Water-Energy-Food Nexus Studies
- Electric and Hybrid Vehicle Technologies
- Power Systems and Technologies
- HVDC Systems and Fault Protection
- Smart Grid and Power Systems
Universidad de Costa Rica
2015-2024
Loughborough University
2024
ORCID
2021
Inter-American Development Bank
2020
Ministerio de Agricultura y Ganadería de Costa Rica
2020
Ministry of Environment and Energy
2020
RAND Corporation
2020
Electric Power Research Institute
2017
University of Manchester
2011-2016
University of Cyprus
2013
Abstract Energy modelling is the process of using mathematical models to develop abstractions and then seek insights into future energy systems. It can be an abstract academic activity. Or, it insert threads that influence our development. We argue therefore, provides policy support (EMoPS) should not only grounded in rigorous analytics, but also good governance principles. As, together with other actions, accountable. Almost all aspects society much its impact on environment are influenced...
Transient stability analysis is performed to assess the power system's condition after a severe contingency and carried out using simulations. To adequately transient stability, correct dynamic models for machines (i.e., generators, condensers, motors) along with their parameters must be defined. The IEEE test systems contain data required steady-state studies. However, neither model of nor specific have been established As result, there demand bed suitable analysis. This paper defines...
Cascading failure in electric power systems is a complicated problem for which variety of models, software tools, and analytical tools have been proposed but are difficult to verify. Benchmarking validation necessary understand how closely particular modeling method corresponds reality, what engineering conclusions may be drawn from tool, improvements need made the tool order reach valid conclusions. The community needs develop test cases tailored cascading that central practical...
High penetrations of domestic electric vehicles (EVs) in U.K. low voltage (LV) networks may result significant technical problems. This paper proposes an implementable, centralized control algorithm, currently being trialed 9 residential LV networks, that uses limited information to manage EV charging points mitigate these Two real are used quantify the potential impacts different penetration levels and demonstrate effectiveness algorithm (using cycles) for simultaneous thermal management....
This synthesis paper presents the objectives, approach and cross-cutting results of Latin American Deep Decarbonization Pathways project (DDP-LAC). It synthesizes compares detailed national sectoral deep decarbonization pathways (DDPs) to 2050 compatible with Paris Agreement objectives domestic development priorities in Argentina, Colombia, Costa Rica, Ecuador, Mexico Peru. The first five countries analysed detail energy system agriculture, forestry land use (AFOLU) at a high level, while...
To truly quantify the impact of electric vehicles (EVs) on electricity network and their potential interactions in context Smart Grids, it is crucial to understand charging behavior. However, as EVs are yet be widely adopted, these data scarce. This work presents results a thorough statistical analysis behavior 221 real residential EV users (Nissan LEAF, i.e., 24kWh, 3.6 kW) spread across UK monitored over one year (68,000+ samples). Probability distribution functions (PDFs) different...
In the coming years, hundreds of thousands new electric vehicles (EVs), from plug-in hybrids to fully electric, will hit roads around world, adding current EV fleet more than 2 million, according Global Outlook 2017. The electrification transportation can bring environmental, health, and economic benefits when coupled with a low-carbon electricity generation portfolio; however, ensuring that this transition goes smoothly requires addressing several grid-integration challenges.
Compliance with the Paris Agreement requires transformation of national economies to meet net-zero carbon dioxide emissions by mid-century. To accomplish this, countries need define long-term decarbonisation strategies near- and mid-term actions determine their ideal future scenario while maximizing socioeconomic benefits. This paper describes process followed support creation pathway for transport energy sectors presented in Costa Rica's National Decarbonisation Plan. We discuss detail...
Climate change is driving the need for new approaches to energy production and utilization globally, contributing mitigation of greenhouse gas (GHG) emissions. Low-emission hydrogen recognized as a key vector decarbonization, numerous countries are currently evaluating strategies roadmaps its integration. Colombia, with abundant renewable resources, poised potential player in production. This study presents techno-economic assessment pathways their cross-sectoral interactions within...
Intentional controlled islanding is an effective corrective approach to minimise the impact of cascading outages leading large-area blackouts.This paper proposes a novel methodology, based on constrained spectral clustering, that computationally very efficient and determines solution with minimal power flow disruption, while ensuring each island contains only coherent generators.The proposed methodology also enables operators constrain any branch, which must not be disconnected, excluded...
The electrification of the transport sector is posed to create challenges but also opportunities for electricity system. In this transition, it crucial understand charging behavior electric vehicles (EVs) so detailed studies can be carried out. However, date, EV data scarce. This paper proposes use probability density functions based on Gaussian Mixture Models (GMMs) represent key metrics EVs. These GMMs are then combined produce realistic profiles needed in diverse studies. Real from 221...
Population growth, urbanization and economic development drive the use of resources. Securing access to essential services such as energy, water, food, while achieving sustainable development, require that policy planning processes follow an integrated approach. The 'Climate-, Land-, Energy- Water-systems' (CLEWs) framework assists exploration interactions between (and within) CLEW systems via quantitative means. approach was first introduced by International Atomic Energy Agency conduct...
Energy system modeling can be used to develop internally-consistent quantified scenarios. These provide key insights needed mobilise finance, understand market development, infrastructure deployment and the associated role of institutions, generally support improved policymaking. However, access data is often a barrier starting energy modeling, especially in developing countries, thereby causing delays decision making. Therefore, this article provides that create simple zero-order model for...
Parallel power system restoration (PPSR) restores isolated sections (islands) of the network in parallel, thus overall process is accelerated. These islands are defined during preparation stage PPSR as part a sectionalising strategy (SS). During this process, it important that operators only use updated post‐blackout information. This study proposes new methodology based on ‘cut‐set’ matrix graph theory, which can identify shortlist suitable SSs satisfy critical constraints few minutes....
The growing uptake of electric vehicles (EVs) will likely require management schemes to enable their connection into distribution systems.While most the existing approaches are developed from operator's perspective considering EV aggregated demands at medium-voltage (MV) level, individual users' comfort and particularities associated with low-voltage (LV) networks need be considered holistically assess effects in an integrated MV/LV network.This article proposes a two-level hierarchical...
Although electric vehicle (EV) sales have been increasing over the years, worldwide EV adoption is still low. In Brazil, key factors influencing this are high acquisition cost and reduced charging infrastructure. Therefore, traditional business models may not be adequate for Brazil stagnate diffusion. Thus, designing innovative can crucial to accelerate transition mobility in region. way, article aims critically review stations discuss its application Brazil. Then, challenges opportunities...
Developing nations encounter significant challenges in accessing the necessary finance to meet climate goals. The emerging ‘Data-to-Deal’ approach is a collaborative effort by 60 specialists, which aims address this providing flexible framework of options, tailored individual country circumstances, aiming enhance core functions and capabilities; it serves as basis for concrete action, informing capacity building, technical assistance, research. This paper argues mainstreaming holistic...
Power systems are prone to cascading outages leading large‐area blackouts with significant social and economic consequences. Intentional controlled islanding (i.e. the separation of system into sustainable islands) is an effective strategy mitigate these catastrophic events. To ensure a correct separation, nonetheless, it crucial define suitable time split answer when island question). consider probability event, reliability components, information communication technologies, potential costs...
Distribution network analyses have been traditionally carried out by sequentially processing computational tasks, i.e., without taking advantage of parallel now available in multi-core machines. However, future distribution networks require studies that cater for the uncertainties due to location and behavior loads low carbon technologies, resulting a much more computationally demanding environment. This paper investigates adoption high performance computing (HPC) accelerate probabilistic...