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Prof. Dr. Javier Valdes

Energy Transition and Energy Modeling Big Geo Data and Spatio-Temporal Analysis Digital Technologies for Sustainable Development Geoinformatics and Regional Development

Faculty of Computer Science

Professors

Professor

  • HTA Research Professor for Big Geo Data and Spatial AI.
  • Head of the Big Geo Data and Spatial AI Research Group at the Technology Campus Freyung.
  • Member of the Doctoral Center “Digital Technologies and Their Applications” (DigiTech) of TH Deggendorf, TH Augsburg, and HaW Landshut.

TCF Campus Deggendorf ITC2 2.50b

08551/91764-40

Bürozeiten

Doors open day: every Monday from 9h 00 to 11h 00

consulting time

Tuesday and Thursday 8:00-10:00 by appointment.

Current 2025-2028 STORCITO: Sustainable Transformation Of Rural Communities via Technical, social and Organizational innovations (HORIZON - Europe). 2024-2027 RENvolveIT: Regional Energy Networking – cross-sectional involvement through a modular interactive toolbox (CET Partnerships - Europe). Ab 2022 Koordinator der Grow4Energy Summer School (Multiple funding sources: AHK Chile, Universidad de Concepcion, Chilean-german Energy Partnership, Freistaat Bayern).

Past projects: 2021-2024 CrossChargePoint: Integrated Multi-Energy Storages Coupling the Power Network to the Transportation. (ERA-Net Smart Energy Systems - Europe). 2021-2024 H2in: Multidimensional and comprehensive value chain assessment for green hydrogen in Chile (Anillos - ANID Chile). 2018-2021 S6ET: Spatial Screening for Small Storage Systems to Solve the Energy Transition (BMBF - Germany).

Als Senior Scientists: 2019-2021 Wilda: Dynamische Wildunfallwarnung unter Verwendung heterogener Verkehrs-, Unfall- und Umweltdaten sowie Big Data Ansätze - WilDa (mFUND - Germany). 2018-2020 e-road: Entwicklung des Elektromobilitätskonzeptes in den Grenzregionen (INTERREG Bayern - Tschechien). 2018-2020 INCREASE: INCREASing renewable Energy penetration in industrial production and grid integration through optimized CHP energy dispatch scheduling and demand side management (BMBF - Germany).

Sortierung:
Journal article
  • M. Díaz-Granados
  • G. Francés
  • Javier Valdes

Petróleo y geopolítica: gobernanza por otros medios.

In: Información Comercial Española, ICE: Revista de economía pg. 83-98

  • (2015)

DOI: 10.32796/ice.2015.886.1809

show abstract

El artículo analiza la complejidad de las relaciones en la gobernanza energética en el actual contexto caracterizado por el exceso de oferta y ralentización de la demanda global. El análisis incide sobre el poder como factor determinante en la geopolítica de los precios, las instituciones energéticas, el papel de la oferta y la demanda y los intereses de sus participantes. El análisis se desarrolla desde una perspectiva geopolítica y geoeconómica y, explorando las implicaciones para los principales actores, se apunta que, si bien la bajada de los precios del petróleo puede tener consecuencias significativas, estas no son necesariamente irreversibles.
Journal article
  • Javier Valdes

Evolución y consistencia en la política de seguridad energética de la UE: los Proyectos de Interés Común.

In: Papeles de Europa vol. 29 pg. 69

  • (2016)
Journal article
  • Javier Valdes
  • G. Francés
  • González, E. S. M.

Energy security and renewable energy deployment in the EU: Liaisons Dangereuses or Virtuous Circle?.

In: Renewable and Sustainable Energy Reviews vol. 62 pg. 1032-1046

  • (2016)
Journal article
  • G. Escribano
  • Javier Valdes

Oil Prices: Governance Failures and Geopolitical Consequences.

In: Geopolitics vol. 22 pg. 693-718

  • (2017)
Contribution
  • Javier Valdes
  • Y. Ménière
  • I. Rudyk

Patents and the Fourth Industrial Revolution: The inventions behind digital transformation.

In: Patents and the Fourth Industrial Revolution. The inventions behind digital transformation

  • Eds.:
  • European Patent Office

  • (2017)
Contribution
  • A. Poque González
  • Luis Ramirez Camargo
  • Javier Valdes
  • Y. Masip Macia

Aportes de la Industria productiva a la flexibilidad del sistema eléctrico: Una comparación entre los casos Alemán y Chileno.

In: Memorias de la 19. Convención científica de ingeniería y arquitectura de la Habana, Cuba.

  • (2018)
Lecture
  • Javier Valdes
  • Jane Wuth
  • Matthias Schmidbauer
  • Roland Zink

Generating mobility solutions to electric vehicle charging stations using Open Street Map data.

In: Geomatika Konference

Pilsen, Tschechische Republik

  • 2018 (2018)
Journal article
  • Javier Valdes
  • Jane Wuth
  • Roland Zink
  • Sebastian Schröck
  • Matthias Schmidbauer

Extracting Relevant Points of Interest from Open Street Map to Support E-Mobility Infrastructure Models.

In: Bavarian Journal of Applied Sciences vol. 4 pg. 323-341

  • (2018)

DOI: 10.25929/bjas.v4i1.51

show abstract

Neben kommerziell bereitgestellten Geodaten nehmen freiwillig erhobene geographische Daten (VGI, volunteered geographic information) in der Forschung einen wachsenden Stellenwert ein. Plattformen wie OpenStreetMap (OSM) bieten inzwischen eine enorme Menge an Geodaten, deren Qualität und deren Mehrwert für die Forschung zunehmend kritisch betrachtet werden. Besonders dann, wenn es um räumliche Planung geht, müssen die Daten vor der Anwendung angemessen validiert und bereinigt werden. In diesem Artikel wird ein Datenverarbeitungsmodell vorgestellt, mit dem OSM-Daten so aufbereitet werden können, dass der Bedarf an Ladeinfrastruktur für Elektroautos über von Nutzern eingetragene Point of Interests (POI) räumlich möglichst genau erfasst und abgebildet werden kann. Zunächst erfolgt eine Selektion relevanter Datensets durch eine Prävalidierung. Im zweiten Schritt werden die wichtigsten POI selektiert und spezifiziert. In einem dritten Schritt werden alle OSM-immanenten Schwierigkeiten beseitigt. Das hier vorgestellte Datenverarbeitungsmodell ist auf das Thema Elektromobilität zugeschnitten, für welches POIs in die vier Zeitkategorien Arbeit, Leben, Einkaufen und Freizeit eingeteilt werden, um so den Bedarf an Ladeinfrastruktur zu erheben. Durch dieses Modell der Datenverarbeitung soll die Energienachfrage für Elektroautos räumlich möglichst realistisch dargestellt werden und Rohdaten mit ihren bekannten Fehlern durch den OSM-Datensammlungsprozess bereinigt aufbereitet werden. Anhand einer Fallstudie, die im bayerisch-tschechischen Grenzraum durchgeführt wurde, wird gezeigt, dass die Fehlerrate durch die Implementierung validierter Daten um ca 10% reduziert werden kann.
Journal article
  • Javier Valdes

Arbitrariness in Multidimensional Energy Security Indicators.

In: Ecological Economics vol. 145 pg. 263-273

  • (2018)

DOI: 10.1016/j.ecolecon.2017.09.002

show abstract

Energy security (ES) has emerged as an issue of great importance in recent years. Nevertheless, the applied concepts of ES are rather vague and many methodologies have been proposed to construct ES indicators. Among these, composite indicators are very popular despite being affected by several methodological choices that often result in lack of robustness of the rankings involved. From a critical analysis of the methodological characteristic of ES composite indicators this study contributes to the debate on the construction of ES composite indicators by providing a better understanding of the various methods that are available. The analysis frames the ES definitions employed on multidimensional indicators and deals with the methodological implications of including the concept of sustainability.
Journal article
  • A. Poque González
  • Y. Masip Macia
  • Javier Valdes
  • Luis Ramirez Camargo

Cogeneración en Chile: Capacidades, desarrollo y perspectivas.

In: Avances en Energías Renovables y Medio Ambiente (AVERMA) vol. 22

  • (2018)

show abstract

En Chile, el proyecto de cogeneración más antiguo data de 1930 y operó hasta el año 1997. Sin embargo, pese a que la tecnología lleva introducida largo tiempo, pocos son los estudios que han analizado el potencial de CHP y su evolución. Un primer paso para el estudio del potencial del país es la creación de un catastro que incluya la capacidad instalada. El interés de este ejercicio radica en el potencial de integración de mayores cantidades de CHP en el sistema eléctrico con el objetivo de hacer frente a la intermitencia de fuentes de energía no convencionales. Además, las plantas CHP pueden ayudar a alcanzar los objetivos de eficiencia energética gracias a la posibilidad de los generadores de volcar a la red tanto la electricidad como calor no consumido en los procesos productivos. Sin embargo, para que esto ocurra es necesario el desarrollo de un marco regulatorio acorde a las capacidades y características de las plantas de CHP. El objetivo de este artículo es precisamente identificar las características de las instalaciones en industrias específicas, así como su evolución, con el objetivo de extrapolar los datos al resto de la economía y obtener un potencial de CHP para el país. Para ello, se han hecho consultas de catastros anteriores, así como entrevistas con empresas para conocer el estado actual del parque de plantas de CHP en el país.
Lecture
  • Javier Valdes
  • Jane Wuth
  • Roland Zink

Eroad - Modelling electric vehicle charging stations using Open Street Map data.

In: 3. Deggendorfer Fachsymposium Elektromobiltät der Zukunft

Technische Hochschule Deggendorf Deggendorf

  • 11.10.2018 (2018)
Lecture
  • Javier Valdes
  • Jane Wuth
  • Matthias Schmidbauer
  • Roland Zink

Eroad - Modelling electric vehicle charging stations using Open Street Map data. Posterpräsentation.

In: 4. Jahreskonferenz des Netzwerks INDIGO (Internet und Digitalisierung Ostbayern)

Technische Hochschule Deggendorf Deggendorf

  • 23.11.2018 (2018)
Journal article
  • Luis Ramirez Camargo
  • Javier Valdes
  • Y. Masip Macia
  • Wolfgang Dorner

Assessment of on-site steady electricity generation from hybrid renewable energy systems in Chile.

In: Applied Energy vol. 250 pg. 1548-1558

  • (2019)

DOI: 10.1016/j.apenergy.2019.05.005

show abstract

Chile has an immense renewable energy potential but its integration into the energy system constitutes a major challenge. The country has a complex topography that is expressed by a divided national grid with almost isolated subsystems and wide differences in the availability of renewable energy resources. The present study aims at evaluating the potentials of combining solar power, wind power and storage systems to provide steady loads already from the generation source. The analysis relies on an optimization model to size hybrid renewable energy systems and 10 years of weather data from the brand new ERA5 global reanalysis. Multiple scenarios are calculated and intercompared for all possible locations across the country. These scenarios include system sizing considering hourly weather data for the period 2008–2017 and for one year without major weather extreme events. In both analyses, the results are calculated for systems that generate 1 MWh of electricity at every time step and systems that have certain intraday flexibility. Results show that the necessary generation and storage capacities to provide a steady energy output are very high even for areas with exceptionally high renewable energy potential (in the Atacama desert the system configuration requirements could reach 10 MWp of photovoltaics and 10 MWh of storage). Intraday flexibility has direct effects on these results by reducing the total size of the systems but the effects on the sizes of the installations of the particular technologies depend on the individual geographical location.
Contribution
  • Javier Valdes
  • Luis Ramirez Camargo
  • A. Poque
  • Y. Masip Macia
  • Wolfgang Dorner

Potential of the paper industry as system flexibility provider for an electrical system with high renewable energy share in Chile.

In: Geophysical Research Abstracts. Proceedings of the EGU General Assembly 2019 (7–12 April, 2019; Vienna, Austria)

  • (2019)

Contribution
  • Luis Ramirez Camargo
  • Javier Valdes
  • Y. Masip Macia
  • Wolfgang Dorner

Assessment of on-site steady electricity generation from renewable energy sources in Chile.

In: Energy Procedia (Contributions to the 10th International Conference on Applied Energy ICAE 2018). pg. 1099-1104

  • (2019)

DOI: 10.1016/j.egypro.2019.01.266

show abstract

Chile has an immense renewable energy potential but their integration in the energy system constitutes a major challenge. The complex topography of the country, the isolation of the different electric grids and the variability of renewable energy sources, makes energy transmission from locations with high variable renewable power generation potential to the demand centres not an easy task. The present study aims at assessing the potential of combining solar power, wind power and storage systems to provide steady loads already from the source. Such a combination should take advantage of complementarity between variable renewable sources and serves to simplify their integration in the energy system. The analysis relies on an optimization model to size hybrid renewable energy systems and 10 years of weather data from the brand new ERA-5 reanalysis. Necessary system sizes to constantly generate 1 MWh of electricity for every hour during the period 2008-2017 are calculated for all possible locations across the country. The results show that the necessary generation and storage capacities to provide a steady energy output are very high even for areas with exceptionally high renewable energy potential.
Contribution
  • A. Poque González
  • Y. Masip Macia
  • Javier Valdes
  • Luis Ramirez Camargo

Cogeneración en Chile: Capacidades, desarrollo y perspectivas.

In: Memorias de la XLIV Reunión de Trabajo de la ASADES (Nov 5-10, 2018; Cordoba, Argentina). pg. 05.01-05.09.

  • (2019)
Journal article
  • Luis Ramirez Camargo
  • F. Nitsch
  • K. Gruber
  • Javier Valdes
  • Jane Wuth
  • Wolfgang Dorner

Potential Analysis of Hybrid Renewable Energy Systems for Self-Sufficient Residential Use in Germany and the Czech Republic.

In: Energies vol. 12 pg. 4185

  • (2019)

DOI: 10.3390/en12214185

show abstract

Independence from the power grid can be pursued by achieving total self-sufficient electricity supply. Such an energy supply model might be particularly interesting for settlements located in rural areas where enough space is available for energy generation installations. This article evaluates how and at what cost electricity demand of residential users across Germany and the Czech Republic could be covered by hybrid renewable energy generation systems consisting of photovoltaics, micro-generation wind turbines and batteries. High-resolution reanalysis data are used to calculate necessary system sizes over a large area by simultaneously accounting for the temporal variability of renewable energy. For every potential location in the research area, the hybrid system requirements for clusters of 50 self-sufficient single-family houses are calculated. The results indicate no general trend regarding the size of the respective technologies, although larger areas where PV-wind power complementarity enables lowering the total system costs and required storage capacities were determined. Assuming that the cluster of households could be constituted and depending on the location, the total installation and operation costs for the proposed systems for a lifetime of 20 years range between EUR 1.8 Million and EUR 5 Million without considering costs of financing. Regions with the lowest costs were identified mainly in the south of Germany.
Contribution
  • Javier Valdes

The role of policy on the Chilean sustainable energy transition in historical perspective.

In: Proceedings of Energy and Society in Transition: 2nd International Conference on Energy Research and Social Science (28 May, 2019; Arizona State University, Tempe, AZ, USA).

  • (2019)
Journal article
  • Y. Masip Macia
  • A. Poque González
  • Luis Ramirez Camargo
  • Javier Valdes
  • M. Valin Fenández

Gestión de la Demanda en la Industria de Chile: Aprendiendo del Caso Alemán (Demand Side Management on the Chile Industry: Learning From the German Case).

In: Ingeniería vol. 24

  • (2019)

DOI: 10.14483/23448393.14709

show abstract

Context: Both pioneer countries and those that have recently begun an energy transition towards renewable energy require high levels of flexibility in their electrical systems. This article reviews the Demand Side Management (DSM) application as a tool to provide flexibility, and then, to achieve renewable energy penetration objectives. Method: A systematic mini-review of the literature has been done to review the origin and evolution of the concept of DSM in German and Chilean industry, at the same time, to make a parallel and comparison between them. Results: Both countries have difficulties in taking advantage of the demand management potential in the industry, the lack of promoting policies and the lack of specific regulatory frameworks are some of the causes. Conclusions: It is necessary to speed up attention to the management of demand, it is important that the academy contributes with estimates of potential, it also needs public policies that encourage the use of this tool.
Journal article
  • Javier Valdes
  • A. Poque González
  • Luis Ramirez Camargo
  • M. Valin Fenández
  • Y. Masip Macia
  • Wolfgang Dorner

Industry, flexibility, and demand response: Applying German energy transition lessons in Chile.

In: Energy Research & Social Science vol. 54 pg. 12-25

  • (2019)

DOI: 10.1016/j.erss.2019.03.003

show abstract

Demand side management (DSM) contributes, among its other purposes, to provide stability and flexibility to energy systems that include a high proportion of variable renewable energy in pioneer countries and those which recently began their energy transition. Among DSM policies, implementation of measures and mechanisms for a demand response (DR) is not a trivial matter. This study presents a review and comparative analysis of the major energy policy developments in Germany and Chile. Based on i) the relevance of the industry sector in both countries, ii) the difficulty in implementing the regulatory framework and iii) the importance given to the industrial customers in the German legislation and DR literature, the following analysis will focus on both medium and large industrial customers. The goals are to review the challenges in untying the full DR potential of the productive industry and to provide recommendations for the promotion of DR in Chile. Emphasis is placed on the lessons learned in fitting the wide potential of DR in the German electricity markets. A review of the successes and failures of the German experience reveals the potential risk that poor policy implementation can have in both the short and long term.
Contribution
  • Jane Wuth
  • Javier Valdes
  • Luis Ramirez Camargo
  • Wolfgang Dorner

Energy Modelling in Rural Areas with Spatial and Temporal Data in Germany and Czech Republic.

In: Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM2019) [May 3-5, 2019; Heraklion, Crete, Greece]. pg. 220-227

  • Eds.:
  • R. Lemonia
  • C. Grueau
  • R. Laurini

SCITEPRESS

  • (2019)

DOI: 10.5220/0007721002200227

show abstract

One of the major challenges for the energy transition is to reconcile variable renewable energy production with stochastically changing energy demand including the pursued changes in e.g. transport like electro mobility. This requires smart systems that should be designed to minimize balancing and transmission costs. The design and modelling of such systems requires high resolution energy generation and demand data, which usually either do not exist or is not available. Methodologies to address this lack of data populate scientific literature but its replicability is limited by an inadequate level of detail in the description of the methodologies and to a larger extent by the absence or low quality of basic data. This manuscript summarizes severalyears of research in energy modelling using Geographical Information Systems as well as spatial and temporal data of the rural areas in Bavaria (Germany) and the Czech Republic. Data requirements for energy demand and energy supply including different types of users and technologies are addressed. Irreconcilable data gaps are presented, examples to fill data gaps as well as recommendations for future necessary developments are provided
Lecture
  • Jane Wuth
  • Javier Valdes
  • Luis Ramirez Camargo
  • Wolfgang Dorner

Energy Modelling in Rural Areas with Spatial and Temporal Data in Germany and Czech Republic.

In: 6th International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM)

Heraklion, Kreta, Greece

  • 03.05.2019 (2019)
Lecture
  • Javier Valdes

The role of policy on the Chilean sustainable energy transition in historical perspective.

In: Energy and Society in Transition: 2nd International Conference on Energy Research and Social Science

Arizona State University Tempe, AZ, USA

  • 28.-31.05.2019 (2019)
Lecture
  • Javier Valdes

Generating consumer load profiles to assess demand-side management potential of industries.

In: 11th International Conference on Applied Energy (ICAE2019) - Innovative Solutions for Energy Transitions

Västerås, Sweden

  • 12.-15.08.2019 (2019)
Journal article
  • Javier Valdes
  • Sebastian Wöllmann
  • Andreas Weber
  • Grégoire Klaus
  • Christina Sigl
  • Matthias Prem
  • Robert Bauer
  • Roland Zink

A framework for regional smart energy planning using volunteered geographic information.

In: Advances in Geosciences vol. 54 pg. 179-193

  • (2020)

DOI: 10.5194/adgeo-54-179-2020

show abstract

This study presents a framework for regional smart energy planning for the optimal location and sizing of small hybrid systems. By using an optimization model – in combination with weather data – various local energy systems are simulated using the Calliope and PyPSA energy system simulation tools. The optimization and simulation models are fed with GIS data from different volunteered geographic information projects, including OpenStreetMap. These allow automatic allocation of specific demand profiles to diverse OpenStreetMap building categories. Moreover, based on the characteristics of the OpenStreetMap data, a set of possible distributed energy resources, including renewables and fossil-fueled generators, is defined for each building category. The optimization model can be applied for a set of scenarios based on different assumptions on electricity prices and technologies. Moreover, to assess the impact of the scenarios on the current distribution infrastructure, a simulation model of the low- and medium-voltage network is conducted. Finally, to facilitate their dissemination, the results of the simulation are stored in a PostgreSQL database, before they are delivered by a RESTful Laravel Server and displayed in an angular web application.
Contribution
  • Raphaela Pagany
  • Javier Valdes
  • Wolfgang Dorner

Risk prediction of wildlife-vehicle collisions comparing machine learning methods and data use.

In: Proceedings of the 2020 10th International Conference on Advanced Computer Information Technologies (ACIT) [September 6-8, 2020; Deggendorf]. pg. 436-440

  • (2020)

DOI: 10.1109/ACIT49673.2020.9208946

show abstract

Risk prediction of wildlife-vehicle collisions is crucial for reducing the abundant number of road accidents with wildlife worldwide. In this study, three different machine learning approaches - Gaussian Naive Bayes, Stochastic Gradient Descent, Random Forest - relying on recorded accident data, environmental, temporal and infrastructural parameters, are used to test the impurity of these parameters, and to predict the risk of wildlife-vehicle collisions. We use a dataset of one million police recorded accidents for southeastern Bavaria. Based on different approaches for feature engineering, we show the importance of data pre-processing and cleaning. With Random Forest, we receive a prediction accuracy of accidents of 86.7%. Additionally, the transferability of the three approaches is discussed, and possible ways of dynamic warnings via smartphone are presented.
Contribution
  • Javier Valdes
  • Sebastian Wöllmann
  • Roland Zink

Optimal location and sizing of small hybrid systems in micro-grid system using Volunteer Geographic Information.

In: Proceedings of the EGU General Assembly (EGU2020).

  • (2020)

DOI: 10.5194/egusphere-egu2020-21859

show abstract

This study presents an optimization model for the optimal location and sizing of small hybrid systems in simulated micro-grids. By using an optimization model - in combination with COSMO-REA2 weather data - various micro-grids local energy systems are simulated using the Calliope energy simulation model. The Calliope optimization and simulation model is feed with GIS-data from different Volunteered Geographic Information projects, including OpenStreetMap. These allows to automatically allocate specific demand profiles to diverse OpenStreetMap building categories. Moreover, based on the characteristics of the OpenStreetMap data, a set of possible distributed energy resources) including renewables and fossil fueled generators are defined for each building category. The optimization model is applied for a set of scenarios based on different electricity prices and technological characteristics. This allows to assess the impact and profitability of the different technological options on the micro-grid configuration. Moreover, in order to assess the impact of each of the scenarios on the current distribution infrastructure, the results of the simulations are included on an existing model of the low and middle voltage network for Lower Bavaria, Germany. Finally, to facilitate their dissemination, the results of the simulation are stored in a PostgreSQL database, before they are delivered by a RESTful Laravel Server and displayed in an Angular Web-Application.
Contribution
  • Javier Valdes
  • Luis Ramirez Camargo
  • Wolfgang Dorner

Generating consumer load profiles to assess demand-side management potential of industries. Paper ID: 1063.

In: Energy Proceedings 2020 - Proceedings of 11th International Conference on Applied Energy - Innovative Solutions for Energy Transitions (12-15 August 2019; Västerås, Sweden). pg. 1-5

  • (2020)

DOI: 10.46855/energy-proceedings-4313

Journal article
  • Javier Valdes
  • A. Poque González
  • Y. Masip Macia
  • Wolfgang Dorner
  • Luis Ramirez Camargo

Unveiling the potential for combined heat and power in Chilean industry-A policy perspective.

In: Energy Policy vol. 140 pg. 111331

  • (2020)

DOI: 10.1016/j.enpol.2020.111331

show abstract

Combined Heat and Power (CHP) has again become a key element in international energy and environmental policy, since it is one of the most promising methods of ensuring grid stability, making an energy system more flexible and environmentally friendly. This is particularly true in the case of Chile, which has an energy system that progressively introduced volatile renewable energy sources such as wind and solar energy. This scenario has led to the development of a new regulatory strategy and CHP flagship projects throughout the country. Despite this interest, there has been no analysis of CHP development or the impact of the latest regulatory changes on its evolution. This study presents an updated cadastre of the CHP facilities as of 2018, together with an analysis of its evolution in terms of an energy policy. From this cadastre, interviews with experts, and a review of the regulations and incentives, the study identifies the main policy barriers for CHP development in Chile. Furthermore, this study presents a series of challenges and recommendations for the country.
Journal article
  • Roland Zink
  • Javier Valdes
  • Jane Wuth

Prioritizing the Chicken or Egg? Electric Vehicle Purchase and Charging Infrastructure Subsidies in Germany.

In: Politics and Governance vol. 8 pg. 185-198

  • (2020)

DOI: 10.17645/pag.v8i3.3025

show abstract

To meet current targets for greenhouse gas emissions in Europe, emissions, especially those originating from the road transport sector, need to be reduced. Plans are to achieve this goal by substituting fossil fuel vehicles with electric vehicles (EVs). This article first discusses conceptually the impact of an increasing share of EVs on the electricity grid and suitable locations for charging stations with examples from a Case Study in Lower Bavaria. Secondly, the impact of purchase subsidies on EV purchases in Germany, a high-income country characterized by an important automotive industry and an increasing share of private vehicles is examined. To achieve this, yearly information on EV purchases were analyzed by applying the Synthetic Control Method. Combining data from different sources including the European Alternative Fuels Observatory, Eurostat, and the European Automobile Manufacturers' Association, an overall picture was developed. Results indicate a difference between private, semi-public, and public charging infrastructures. Its spatial distribution does not correspond to a specific development strategy. Moreover, EV subsidies have a limited effect in Germany when controlling for market size. Limiting the discussion to a trade-off between subsidizing infrastructures or EV purchases obviates the multidimensionality of the problem as neither of them may be sufficient to accelerate the transition per se. Furthermore, if electricity provided for EVs comes mainly from fossil carriers, the changes in the road transport sector will not yield the expected emission reductions. The transition towards renewables is directly intertwined with the effects of EVs on emission reductions in the road transport sector.
Lecture
  • Raphaela Pagany
  • Javier Valdes
  • Wolfgang Dorner

Risk prediction of wildlife-vehicle collisions comparing machine learning methods and data use.

In: 2020 10th International Conference on Advanced Computer Information Technologies (ACIT)

Deggendorf

  • 16.-18.09.2020 (2020)
Journal article
  • Javier Valdes
  • Luis Ramirez Camargo

Synthetic hourly electricity load data for the paper and food industries.

In: Data in Brief vol. 35 pg. 106903

  • 20.02.2021 (2021)

DOI: 10.1016/j.dib.2021.106903

show abstract

The data set includes hourly time series for a period of one year of electricity demand of three different types of industries. The industries include a small food processing company, one small paper industry and one medium-large paper producing company. The data have been synthetized from two years of measured data from industries in Chile using a comprehensive clustering analysis. The synthetic data possess the same statistical characteristics as the measured data but are provided normalized to one kWh and anonymized in order to be used without confidentiality issues. The data were originally used in the associated paper [1] to assess the demand side management potential of the industries but these can be used for further energy system modelling exercises including these types of industries.
Lecture
  • Javier Valdes

EnerplanET: A tool for Regional Energy Planning. Invited Talk..

In: PyPSA meets Africa initiative

  • 2021 (2021)
Journal article
  • Javier Valdes
  • Y. Masip Macia
  • Wolfgang Dorner
  • Luis Ramirez Camargo

Unsupervised grouping of industrial electricity demand profiles: synthetic profiles for demand-side management applications.

In: Energy vol. 215 (Part A) pg. 118962

  • (2021)

DOI: 10.1016/j.energy.2020.118962

show abstract

Demand side management is a promising alternative to offer flexibility to power systems with high shares of variable renewable energy sources. Numerous industries possess large demand side management potentials but accounting for them in energy system analysis and modelling is restricted by the availability of their demand data, which are usually confidential. In this study, a methodology to synthetize anonymized hourly electricity consumption profiles for industries and to calculate their flexibility potential is proposed. This combines different partitioning and hierarchical clustering analysis techniques with regression analysis. The methodology is applied to three case studies in Chile: two pulp and paper industry plants and one food industry plant. A significant hourly, daily and annual flexibility potential is found for the three cases (15% to 75%). Moreover, the resulting demand profiles share the same statistical characteristics as the measured profiles but can be used in modelling exercises without confidentiality issues.
Journal article
  • Javier Valdes

Participation, equity and access in global energy security provision: Towards a comprehensive perspective.

In: Energy Research & Social Science vol. 78 pg. 102090

  • (2021)

DOI: 10.1016/j.erss.2021.102090

show abstract

The multilateral institutions of global energy governance consider energy security a key aspect for achieving greater coordination in the energy transition. However, the public good characteristics of energy security and its implications for global energy governance have not been systematically analyzed. This article discusses the concept of energy security within the global energy governance literature and the public character of the “energy regime complex” in the area of energy security. We define the requirements for considering energy security as a global public good. Then, we apply this theoretical framework and assess the levels of publicness of consumption, benefits, and decision-making of the various global energy security approaches. The results show that institutional arrangements for the governance of the security of supply and demand should be conceptualized as transnational public goods rather being considered within a more global cooperative energy security approach. We discuss the implications of the results for other global energy governance domains, finding that the extension of the public character of energy security may limit coordination in other areas of energy governance, such as climate change mitigation.
Lecture
  • Javier Valdes

Energy system modelling in GIS. Invited Talk..

Universidad Pontificía Católica de Valparaiso Valparaiso, Chile

  • 2022 (2022)
Lecture
  • Javier Valdes

From the Atlas to the Energy Community: How to make tools for renewable energy systems modeling helpful. Invited Talk..

Universidad de Santiago de Chile Santiago de Chile, Chile

  • 2022 (2022)
Journal article
  • Robert Bauer
  • Dominik Schopf
  • Grégoire Klaus
  • Raimund Brotsack
  • Javier Valdes

Energy Cell Simulation for Sector Coupling with Power-to-Methane: A Case Study in Lower Bavaria.

In: Energies vol. 15 pg. 2640

  • (2022)

DOI: 10.3390/en15072640

show abstract

In this study, the possibility of sector coupling with biological Power-to-Methane to support and stabilize the energy transition of the three major sectors of electricity, heat, and gas was addressed. For this purpose, the energy cell simulation methodology and the Calliope tool were utilized for energy system optimization. This combination provides detailed insights into the existing dependencies of consumers and fossil and renewable energy suppliers on a local scale. In this context, Power-to-Methane represents an efficient technology for quickly and effectively exploiting unused electricity potential for various sectors and consumers. It was found that, even in regions with low wind levels, this surplus electricity potential already exists and depends on various influencing factors in very different ways. The solar influence on these potentials was considered in connection with gas-fired cogeneration plants for district heating. It was found that the current heat demand for district heating produces a large amount of electricity and can generate surplus electricity in the winter. However, in the summer, large amounts of usable waste heat are dissipated into the environment, owing to the low consumption of district heat. This problem in the heat sector could be reduced by the expansion of photovoltaics, but this would require further expansion of storage or conversion systems in the electricity sector. This demonstrates that the consideration of several sectors is necessary to reflect the complexity of the sector coupling with Power-to-Methane properly.
Contribution
  • Javier Valdes
  • Robert Bauer
  • Grégoire Klaus

Analyzing Input Data Influence in Local Techno-Economic Analyses for Power-to-Methane Plants. Abstract..

In: Proceedings of the EGU General Assembly (EGU2022).

  • (2022)
Contribution
  • Alexander Faschingbauer
  • F. Tüllenburg
  • Javier Valdes

A Modular Laboratory-scale Environment for Smart Grid Testing, Training and Teaching.

In: Proceedings of the 31st Annual Conference of the European Association for Education in Electrical and Information Engineering (EAEEIE ISEC 2022). pg. 1-5

  • (2022)
Lecture
  • Javier Valdes

What best explains the Chilean energy transition: International Political Economy or the Multi-Level Perspective?.

In: Energy and Climate Transformations: 3rd International Conference on Energy Research & Social Science

University of Manchester Manchester, United Kingdom

  • 20.-23.06.2022 (2022)
Lecture
  • Javier Valdes

From the atlas to the energy community: How to make tools for renewable energy systems simulation helpful.

In: Energy and Climate Transformations: 3rd International Conference on Energy Research & Social Science

University of Manchester Manchester, United Kingdom

  • 20.-23.06.2022 (2022)
Lecture
  • Alexander Faschingbauer
  • F. Tüllenburg
  • Javier Valdes

Modular Laboratory-scale Environment for Smart Grid Testing, Training and Teaching.

In: 31st Annual Conference of the European Association for Education in Electrical and Information Engineering (EAEEIE ISEC 2022)

Coimbra, Portugal

  • 29.06.-01.07.2022 (2022)
Lecture
  • Robert Bauer
  • Grégoire Klaus
  • Raimund Brotsack
  • Javier Valdes

Biomethanation: A keystone for new energy solutions.

In: Ecomondo - International trade fair for material and energy

Rimini, Italy

  • 07.-11.11.2022 (2022)
Lecture
  • Robert Bauer
  • Grégoire Klaus
  • Raimund Brotsack
  • Javier Valdes

Power-to-Methane: the technology for sector coupling.

In: Energytech - 4th International Conference on Renewable Energy, Resources & Sustainable Technologies

Rome, Italy

  • 14.-15.11.2022 (2022)
Journal article
  • A. Poque González
  • Y. Masip Macia
  • L. Da Ferreira
  • Javier Valdes

Socio-Ecological Controversies from Chilean and Brazilian Sustainable Energy Transitions.

In: Sustainability vol. 15 pg. 1861

  • (2023)

DOI: 10.3390/su15031861

show abstract

Chile and Brazil have been historically recognised in South America for having a high share of renewable sources in their primary energy matrices. Furthermore, in the last two decades, aligned with the global efforts to conduct a sustainable energy transition, both countries have experienced a successful introduction of nonconventional renewable energy for power production. Nevertheless, some experiences with renewable sources have been demonstrated to be not entirely societally and environmentally friendly, as some local human communities and ecosystems are threatened, and conflicts have emerged, regardless of low-emission technology. Using the cases of Chile and Brazil, we aim to explore the socio-ecological dimension of sustainable energy transition—which has sometimes been ignored. We analyse the controversies regarding renewable energy and the emergence of socio-ecological conflicts through the principles of justice in transitions. Critical renewable conflicting power projects are identified using the Atlas of Environmental Justice’s database. Considering those experiences, we believe that reinforcing decision-making processes should be in synergy with identifying new alternatives to develop energy in both countries. Placing justice approaches at the centre of public policies is imperative to developing sustainable policies in the future.
Contribution
  • Hana Elattar
  • F. Tüllenburg
  • Sebastian Wöllmann
  • Javier Valdes

Evaluating the Fulfilment Rate of Charging Demand for Electric Vehicles Using Open-Source Data.

In: Proceedings of the 9th International Conference on Geographical Information Systems Theory, Applications and Management. pg. 159-166

SCITEPRESS - Science and Technology Publications

  • (2023)

DOI: 10.5220/0011849400003473

show abstract

With the shift towards electric vehicles accelerating; we are working with open-source data to estimate to which degree existing charging infrastructure is fulfilling the demand created by electric vehicles. This paper is explaining how to create such a calculation by extracting data from large public areas in the city of Lindau (Bodensee), Germany as a showcase. With this data we aim to evaluate whether charging stations located in the premises of public and commercial buildings cover the demand of electric vehicles reaching the said buildings. This research is conducted as a first step of methodologies development that aims on the long term to create a tool that supports in the optimal placement of new charging stations. The methodology chosen is inspired by two main concepts: the first is the attractiveness factor concept used for the creation of travel models, while the second is the classification of charging stations based on location to determine their rate of occupancy. They are both used to cluster buildings and charging stations respectively to be able to determine the number of users in the area of study (AOS) compared to the overall number of electric vehicles reaching the destination in a given day. This paper takes the island in the centre of the city of Lindau (Bodensee) as its area under investigation and uses open-source data along with the appropriate assumptions as a base for its calculations.
Contribution
  • Hana Elattar
  • F. Tüllenburg
  • Sebastian Wöllmann
  • Javier Valdes

Open-data methodology for optimizing the allocations of Charging Stations.

In: Proceedings of the 36th International Electric Vehicle Symposium and Exhibition (EVS36). pg. 1-11

  • (2023)

show abstract

This paper explains the work that started towards creating a tool for optimizing the placement of charging stations. Relying first and foremost on open-source data, the methodology of this paper attempts, as a first step, to forecast the number of additional charging stations needed in the area of study. During the work, we were able to extract the necessary OpenStreetMap data that lead us to estimate, with the help of statistical data, the number of electric vehicles reaching a certain destination during a interval. Overlapping these results with data on the location of charging stations and their classifications, we are able to reach the percentage to which the existing charging stations are fulfilling the demand for electric vehicles and hence the number of additional charging stations required.
Journal article
  • R. Carmona
  • R. Miranda
  • P. Rodriguez
  • R. Garrido
  • D. Serafini
  • A. Rodriguez
  • M. Mena
  • A. Fernández Gil
  • Javier Valdes
  • Y. Masip

Assessment of the green hydrogen value chain in cases of the local industry in Chile applying an optimization model.

In: Energy vol. 300 pg. 131630

  • (2024)

DOI: 10.1016/j.energy.2024.131630

show abstract

This study assessed the feasibility of integrating a green hydrogen value chain into the local industry, examining two case studies by comparing four scenarios. The optimization focused on generating electricity from stationary renewable sources, such as solar or through Power Purchase Agreements, to produce sufficient hydrogen in electrolyzers. Current demand profiles, renewable participation targets, electricity supply sources, levelized costs of energy and hydrogen, and technology options were considered. The most cost-effective scenario showed a levelized cost of energy of 0.032 and 0.05 US$/kWh and a hydrogen cost below 1.0 US$/kgH2 for cases 1 and 2, respectively. A sensitivity analysis highlighted the critical influence of fuel cell technology on cost modification, underscoring the importance of focusing cost reduction strategies on these technologies to enhance the economic viability of the green hydrogen value chain. Specifically, a high sensitivity towards reducing the levelized costs of energy and hydrogen in the port sector with adjustments in fuel cell technology costs was identified, indicating the need for specific policies and supports to facilitate their adoption.
Contribution
  • Hana Elattar
  • F. Tüllenburg
  • S. Karas
  • Javier Valdes

An Open-Source Model for Estimating the Need to Expansion in Local Charging Infrastructures.

In: Geographical Information Systems Theory, Applications and Management. (Communications in Computer and Information Science) vol. 2107 pg. 69-91

  • Eds.:
  • L. Ragia
  • A. Rodrigues
  • C. Grueau

Springer Nature Switzerland Cham

  • (2024)

DOI: 10.1007/978-3-031-60277-1_5

show abstract

The growing adoption of electric vehicles (EVs) poses new challenges for the planning and management of charging infrastructures (CIs). This paper proposes a methodology to estimate the sufficiency of EV charging infrastructures in a given area of study (AOS) containing public and private buildings, using open-source data and a case study of Lindau (Bodensee), Germany. The methodology consists of two main steps: first, applying the attractiveness factor concept from travel models to cluster buildings according to their potential EV users; second, classifying charging stations based on their location and occupancy rate. To reach our desired result, we compare the number of charging hours needed by EVs arriving at each building cluster with the number of available charging stations in each station cluster, and identify any gaps or surpluses. The paper demonstrates the feasibility and applicability of the methodology using data from the city Lindau (Bodensee) as an example. The paper also discusses the limitations and assumptions of the methodology, and suggests future directions for developing a machine-learning based tool that could support optimal placement of new charging stations.
Journal article
  • M. San Martin
  • P. Poch
  • R. Carmona
  • P. Rodríguez
  • A. Rodríguez
  • R. Garrido
  • D. Serafini
  • M. Mena
  • Javier Valdes
  • Y. Masip

Parameterization proposal to determine the feasibility of geographic areas for the green hydrogen industry under socio-environmental and technical constraints in Chile.

In: International Journal of Hydrogen Energy vol. 50 pg. 578-598

  • (2024)

DOI: 10.1016/j.ijhydene.2023.10.013

show abstract

Chile, abundant in solar and wind energy resources, presents significant potential for the production of green hydrogen, a promising renewable energy vector. However, realizing this potential requires an understanding of the most suitable locations for the installation of green hydrogen industries. This study proposes a quantitative methodology that identifies and ranks potential public lands for industrial use, based on a range of technical parameters (such as solar and wind availability) and socio-environmental considerations (including land use restrictions and population density). The results reveal optimal locations that can facilitate informed, sustainable decision-making for large-scale green hydrogen implementation in Chile. While this methodology does not replace project-specific technical or environmental impact studies, it provides a flexible, general classification to guide initial site selection. Notably, this approach can be applied to other regions worldwide with abundant solar and wind resources, such as Australia and Northern Africa, promoting more effective and sustainable global decision-making for green hydrogen production.
Journal article
  • I. Abasolo Farfán
  • C. Bonacic Castro
  • R. Garrido Lazo
  • A. Fernández Gil
  • M. San Martin Hormazábal
  • P. Rodríguez Marchuca
  • D. Serafini
  • A. Rodríguez Soto
  • M. Mena-Carrasco
  • Javier Valdes
  • Y. Masip Macia

Socio-environmental and technical factors assessment of photovoltaic hydrogen production in Antofagasta, Chile.

In: Energy Strategy Reviews vol. 53 pg. 101373

  • (2024)

DOI: 10.1016/j.esr.2024.101373

show abstract

This study introduces a method for identifying territories ideal for establishing photovoltaic (PV) plants for green hydrogen (GH ) production in the Antofagasta region of northern Chile, a location celebrated for its outstanding solar energy potential. Assessing the viability of PV plant installation necessitates a balanced consideration of technical aspects and socio-environmental constraints, such as the proximity to areas of ecological importance and indigenous communities, to identify potential zones for solar and non-conventional renewable energy (NCRE)-based hydrogen production. To tackle this challenge, we propose a methodology that utilizes geospatial analysis, integrating Geographic Information System (GIS) tools with sensitivity analysis, to determine the most suitable sites for PV plant installation in the Antofagasta region. Our geospatial analysis employs the QGIS software to identify these optimal locations, while sensitivity analysis uses the Sørensen–Dice coefficient method to assess the similarity among chosen socio-environmental variables. Applying this methodology to the Antofagasta region reveals that a significant area within a 15 km radius of existing road networks and electrical substations is favorable for photovoltaic projects. Our sensitivity analysis further highlights the limiting effects of socio-environmental factors and their interactions. Moreover, our research finds that enlarging areas of socio-environmental importance could increase the total hydrogen production by about 10% per commune, indicating the impact of these factors on the potential for renewable energy production.

projects

My research is funded as part of the High-Tech Agenda Bavaria

labs

Geoinfomratics Laboratory at ITC2+ 0.24

core competencies

Specialized in the modeling and analysis of energy systems, I use artificial intelligence and data-driven methods to optimize sustainable energy strategies. I focus on energy security, renewable energies, and energy policy, as well as the intersection of technology, economics, and sustainability. My research explores the impact of digitalization and AI on energy transition, sector coupling, and the optimization of energy systems. I develop innovative solutions for local energy transitions, energy storage, and integrated energy infrastructure. I am particularly interested in how new technologies enable novel forms of organization and system coordination in the energy sector. My most recent projects focus on electromobility, exploring its integration into smart energy systems and its role in shaping sustainable urban infrastructure. Currently, my projects focus on enhancing coordination between different stakeholders through the use of simulation tools. I am particularly interested in citizen participation and the ethical use of technology. To further develop and test these concepts, we are setting up a laboratory where new approaches for sustainable energy systems can be explored and tested.

Forschungs- und Lehrgebiete

“Teaching:”

Geostatistics (AI-B) Publishing in Scientific Journals (MAPR-PhD) Geodata Processing and Automation (AI-B) Scientific Writing (AIN) Ethics and Sustainability in Artificial Intelligence (AIN) Data Visualization (LSI-M) Introduction to Artificial Intelligence (AIN)

Other

Available Thesis Topics for Supervision:

Open data and energy system modelling – data fusion for energy system planning, design and operation (Open Data und Energiesystemmodellierung – Datenfusion für die Planung, Gestaltung und den Betrieb von Energiesystemen)

Synthetic grids and modelling of different types of uncertainty in distribution grid networks (Synthetische Netze und Modellierung verschiedener Arten von Unsicherheiten in Verteilnetzen)

Design roadmapping: A case study on planning development for a modular energy systems design & planning software (Design Roadmapping: Eine Fallstudie zur Entwicklungsplanung für eine modulare Software zur Gestaltung und Planung von Energiesystemen)

Evaluating the potential of modularization and integration of simulation tools for bottom-up approaches in energy systems (Bewertung des Potenzials der Modularisierung und Integration von Simulationswerkzeugen für Bottom-up-Ansätze in Energiesystemen)

End-users as Co-Developers of New Green Products and Services – A Case Study Analysis on the Use of AI in Modeling Software “Endnutzer als Co-Entwickler neuer grüner Produkte und Dienstleistungen – Eine Fallstudienanalyse zur Nutzung von KI in der Modellierungssoftware”