Article
Environmental Sciences
Rezvan Ghasemi Nejad, Rahim Ali Abbaspour, Alireza Chehreghan
Summary: This study discusses the quality assessment of crowdsourced geographic information and attempts to propose a comprehensive reputation system based on intrinsic evaluations among volunteers. By applying this system in a study area and comparing it with other existing frameworks, relevant results are obtained.
GEOCARTO INTERNATIONAL
(2022)
Article
Remote Sensing
Jun Yamashita, Toshikazu Seto, Nobusuke Iwasaki, Yuichiro Nishimura
Summary: Geographical studies of outdoor activities have been increasing, and volunteered geographic information (VGI) is a key tool for organizing these activities. This study examines trust indicators and provides recommendations to improve VGI thematic accuracy.
GEO-SPATIAL INFORMATION SCIENCE
(2023)
Article
Remote Sensing
Ruba Jaljolie, Talia Dror, David N. Siriba, Sagi Dalyot
Summary: This paper investigates the integration of ethical values in the OpenStreetMap platform and suggests that a deeper understanding of stakeholders' perspectives is required. It highlights the importance of recognizing and preserving existing ethical values for organizations contributing to or using OpenStreetMap.
GEO-SPATIAL INFORMATION SCIENCE
(2023)
Article
Energy & Fuels
Anya Heider, Ricardo Reibsch, Philipp Blechinger, Avia Linke, Gabriela Hug
Summary: To achieve climate goals, future energy systems must heavily rely on variable renewable energy sources such as wind and photovoltaic. Analyzing flexibility options and enhancing energy system design can be done through energy system modelling tools. A survey of developers of open energy modelling tools was conducted to assess the representation of flexibility options in current models. The results show a wide range of tools covering most aspects of flexibility, but improvements are needed in storage and network type flexibility for a holistic assessment.
ENERGY STRATEGY REVIEWS
(2021)
Article
Computer Science, Information Systems
Franz-Benjamin Mocnik
Summary: There are few laws regarding geographical information due to its inherent complexity. This article explores the validity of Benford's law in the context of OpenStreetMap and finds that some geographical entities adhere to this law to varying degrees, with significant deviations in different regions.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
(2021)
Article
Computer Science, Information Systems
Jesus M. Almendros-Jimenez, Antonio Becerra-Teron, Manuel Torres
Summary: This paper introduces OpenStreetMap, a volunteered geographic information system for creating a free editable map of the world. One of its core elements is the point-of-interest (POI), which can be annotated with useful information for tourist purposes. The development of XOSM, a query language and visualization tool, allows for the integration of social network queries to analyze the relevance of POIs.
HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES
(2021)
Article
Remote Sensing
Franz-Benjamin Mocnik, Rene Westerholt
Summary: Tectonic plate motion affects the accuracy of GPS measurements and global coordinate systems over time. Regular systematic updates of coordinate values are recommended to minimize accuracy loss, but rounding errors and manual updates can still pose challenges. Proposed solution strategies aim to maintain high positional accuracy in global datasets even after years of existence.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Energy & Fuels
Osaru Agbonaye, Patrick Keatley, Ye Huang, Oluwasola O. Ademulegun, Neil Hewitt
Summary: This paper presents a methodology for the spatio-temporal assessment of demand flexibility opportunities, response potential and adequacy in solving various grid issues of a country. The proposed method links the electrical network with socio-demographic spatial data using the k-nearest neighbour classification algorithm to ensure fair distribution of flexibility opportunities. Additionally, an interactive Northern Ireland demand flexibility map is provided for system planners to develop an effective flexibility strategy and implementation pathway.
Article
Environmental Studies
Francesco Balducci
Summary: Data from Volunteered Geographic Information (VGI) is a valuable source of knowledge, but must meet strict quality standards to be effectively used as a supporting source. This study evaluates the quality of OpenStreetMap (OSM) in the cultural sector and finds it to be rich in quantitative information and positionally and semantically accurate, though concerns about the reliability and consistency of tags and metadata do arise.
ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
(2021)
Article
Environmental Studies
Colin Ferster, Trisalyn Nelson, Kevin Manaugh, Jeneva Beairsto, Karen Laberee, Meghan Winters
Summary: High-quality and consistent cycling infrastructure data are needed for research and planning, but there is no national dataset in Canada. The goal is to develop a dataset using the Can-BICS system by classifying OSM, and an accuracy assessment showed estimated accuracies for presence/absence, comfort class, and infrastructure type.
ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
(2023)
Article
Ecology
Giorgos Mallinis, Sevasti Chalkidou, Themistoklis Roustanis, Ioannis P. Kokkoris, Irene Chrysafis, Ion-Anastasios Karolos, Dimitra Vagiona, Alexandra Kavvadia, Panayotis Dimopoulos, Ioannis Mitsopoulos
Summary: This study presents the development of a public participation geographic information system (ppGIS) and web GIS platform for hosting and visualizing ecosystem services (ES) related data at a national scale. The platform helps increase public awareness of the necessity for ecosystem protection and conservation, and aligns with the European Union's biodiversity strategy goals.
ECOLOGICAL INFORMATICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Corey T. White, Anna Petrasova, Vaclav Petras, Laura G. Tateosian, Jelena Vukomanovic, Helena Mitasova, Ross K. Meentemeyer
Summary: Participatory modeling engages stakeholders in research to co-produce knowledge and action. However, incorporating spatial dimensions in participatory models is challenging, as it requires specialized knowledge. To address these barriers, an open-source platform called OpenPlains has been developed to enable researchers to develop interactive geospatial models that remove barriers to data aggregation and user engagement. OpenPlains consists of six new open-source libraries: OpenPlains, djangoactina, grass-js-client, react-openplains, react-ol, and openplains-cli. Two web applications, a spatial-temporal watershed analysis application and an urban growth forecasting application, demonstrate the capabilities of OpenPlains.
ENVIRONMENTAL MODELLING & SOFTWARE
(2023)
Article
Computer Science, Information Systems
Alberto Rodrigues da Silva, Jacinto Estima, Jorge Marques, Ivo Gamito, Alexandre Serra, Leonardo Moura, Ana Margarida Ricardo, Luis Mendes, Rui M. L. Ferreira
Summary: Flood events are causing significant problems to human communities, including physical and psychological damage. Georeferencing and data curation are essential for flood forecasting and mapping, and must occur on GIS platforms. This paper presents an innovative Web GIS platform named RiverCure Portal to support flood risk management, including operational response, emergency preparedness, and risk assessment.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2023)
Article
Geography
Rotem Elinson, Noam Levin
Summary: The study found that Volunteered Geographic Information (VGI) can be used to study nature-based recreational activities, beyond traditional monitoring methods and databases. By analyzing the database from an Israeli VGI app and website, the study revealed significant correlations between the density of points of interest (POIs) and accessibility and attraction variables.
Article
Agronomy
Gustavo Willam Pereira, Domingos Sarvio Magalhaes Valente, Daniel Marcal de Queiroz, Andre Luiz de Freitas Coelho, Marcelo Marques Costa, Tony Grift
Summary: Machine learning algorithms have been used as an alternative to conventional methods in digital mapping of soil attributes, offering flexibility in using different layers of information. To address the difficulties faced by end users, a Smart-Map plugin was developed, incorporating Ordinary Kriging and Support Vector Machine algorithms, and selecting covariates based on spatial correlation. In a case study in Brazil, the performance of the Smart-Map plugin was evaluated using R-2 and RMSE, showing that Support Vector Machine outperformed Ordinary Kriging in predicting soil attributes.
Article
Energy & Fuels
Henning Schlachter, Stefan Geissendoerfer, Karsten von Maydell, Carsten Agert
Summary: This article presents an approach using deep learning to recognize electric loads in voltage profiles in order to stabilize grid voltage. The method uses power profiles to generate training data and trains MLP and CNN models to determine the best configurations. Experimental results show that a larger distance between the inverter and the transformer improves recognition accuracy.
Article
Engineering, Electrical & Electronic
Ingo Liere-Netheler, Frank Schuldt, Karsten von Maydell, Carsten Agert
Summary: This study investigates the potential of curative actions as a substitute for renewable energy curtailment, introducing a novel pricing methodology and conducting simulations on different networks. The results indicate that curative actions can reduce operational costs and maximize renewable energy integration.
IET GENERATION TRANSMISSION & DISTRIBUTION
(2022)
Article
Energy & Fuels
Maximilian Goetz-Koehler, Udayan Banik, Hosni Meddeb, Nils Neugebohrn, Dennis Berends, Kai Gehrke, Martin Vehse, Carsten Agert
Summary: This research introduces a switchable photovoltaic window that combines a semitransparent germanium solar cell and a gasochromic switchable magnesium mirror. The window can switch between transparent and opaque states, allowing for electricity generation and shading. The study analyzes the performance of the device and models the annual electricity generation in different climate regions under different switching scenarios.
Article
Computer Science, Information Systems
Stefan Arens, Sunke Schlueters, Benedikt Hanke, Karsten von Maydell, Carsten Agert
Summary: This study investigates the advantage of an advanced energy management algorithm in different energy system scenarios. The algorithm reduces peak loads and improves self-consumption and self-sufficiency.
Article
Chemistry, Physical
Holger Janssen, Michael Kroener, Alexander Dyck, Martin Vehse, Michael Wark, Carsten Agert
Summary: Hydrogen used in proton exchange membrane-based fuel cell applications requires high quality. However, the purity of hydrogen for mobile applications at hydrogen refueling stations (HRS) is rarely analyzed. In this study, hydrogen samples were collected at HRS using a specially designed mobile tank and analyzed using an ion molecule reaction mass spectrometer (IMR-MS). The results showed high purity of hydrogen supplied by electrolysis at HRS, but also considerable contaminations above the threshold of the international standard ISO 14687:2019. This study demonstrated a state-of-the-art analysis method coupled with a developed methodology for independent hydrogen sampling using a mobile tank system, which can be applied for comprehensive studies of hydrogen purity.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Green & Sustainable Science & Technology
Lucas Schmeling, Patrik Schoenfeldt, Peter Klement, Lena Vorspel, Benedikt Hanke, Karsten von Maydell, Carsten Agert
Summary: The optimal combination of energy conversion and storage technologies with local energy demand is a key challenge of distributed energy. The choice of technology and operational strategy have a decisive influence on the optimality.
Article
Materials Science, Multidisciplinary
Dennis Berends, Patrick Schwager, Kai Gehrke, Martin Vehse, Carsten Agert
Summary: In this study, thin films of black TiOx are obtained by combining two different sputtering configurations and varying process parameters. Non-stoichiometric samples are prepared by adjusting the power distribution between two targets in a certain oxygen partial pressure. These samples show improved photoelectrochemical activity compared to samples without the modification of power distribution.
Article
Energy & Fuels
Nailya Maitanova, Sunke Schlueters, Benedikt Hanke, Karsten von Maydell, Carsten Agert
Summary: The high share of fluctuating renewable energy sources in power generation has led to increased levels of variability and uncertainty in power systems. This study aims to develop a method for quantifying the variability of photovoltaic (PV) systems. The method investigates power measurements of a PV system and quantifies its power and energy fluctuations in three steps. Testing of the method on different PV systems indicates that it can accurately quantify their power and energy fluctuations, regardless of location and technical characteristics.
ENERGY SCIENCE & ENGINEERING
(2022)
Article
Automation & Control Systems
Karsten von Maydell, Jan Petznik, Holger Behrends, Thomas Esch, Moiz Ahmed, Alejandro Rubio, Leon Uhse, Rasmus Voelker, Sebastian Unglaube, Stefan Geissendoerfer, Frank Schuldt, Carsten Agert
Summary: DLR-NESTEC is a platform for research on power grids of the future, which can simulate real hardware and address various future questions regarding robust and safe operation sector-coupled energy networks.
AT-AUTOMATISIERUNGSTECHNIK
(2022)
Article
Energy & Fuels
Wilko Heitkoetter, Wided Medjroubi, Thomas Vogt, Carsten Agert
Summary: This study investigates the economic viability of demand response (DR) as a balancing option for variable renewable energies. The results show that the largest DR capacity is installed in the west of Germany, with all DR units having an aggregated capacity below 100 MW per transmission grid node.
Article
Chemistry, Physical
Amelie Krupp, Robert Beckmann, Theys Diekmann, Gerd Liebig, Ernst Ferg, Frank Schuldt, Carsten Agert
Summary: Battery life prediction is important due to increased battery use. This study presents a physically based model that accurately describes battery capacity loss under dynamic frequency containment reserve loading. The model considers two important aging mechanisms and can be applied to graphite-based battery cell chemistries.
JOURNAL OF POWER SOURCES
(2023)
Article
Energy & Fuels
Max Bodenstein, Ingo Liere-Netheler, Frank Schuldt, Karsten von Maydell, Alexander K. Hartmann, Carsten Agert
Summary: In order to reduce congestion and improve the efficiency of the power system, the potential of Power Flow Control (PFC) with Unified Power Flow Controller (UPFC) devices is investigated in a model of a 110 kV distribution system. The optimization of UPFC devices in terms of their number, placement, size, control parameters, and costs shows that PFC can significantly reduce congestion (99.13%) near a critical grid state and reduce congestion by 73.2% considering UPFC costs. The economic analysis reveals the profitability of using UPFCs.
Article
Energy & Fuels
Amelie Krupp, Robert Beckmann, Patrick Draheim, Eva Meschede, Ernst Ferg, Frank Schuldt, Carsten Agert
Summary: Battery storage systems are increasingly used in the frequency containment reserve (FCR) application. Coupling the battery with a power-to-heat module can further increase the system's profitability.
JOURNAL OF ENERGY STORAGE
(2023)
Proceedings Paper
Construction & Building Technology
Patrik Schonfeldt, Adrian Grimm, Bhawana Neupane, Herena Torio, Pedro Duran, Peter Klement, Benedikt Hanke, Karsten von Maydell, Carsten Agert
Summary: Linear programming is widely used in energy supply systems, but faces limitations in heat supply systems. This paper presents a method using discrete temperature levels and demonstrates its potential and reasonableness in a case study of integrated residential heat and electricity supply. The open source implementation MTRESS is also briefly introduced.
2022 OPEN SOURCE MODELLING AND SIMULATION OF ENERGY SYSTEM (OSMSES)
(2022)
Article
Chemistry, Physical
Norbert Osterthun, Hosni Meddeb, Nils Neugebohrn, Oleg Sergeev, Kai Gehrke, Martin Vehse, Carsten Agert
Summary: Semitransparent solar cells with spectrally selective light transmission have been developed for agrivoltaic applications. The combination of a metal-oxide multilayer electrode with an ultrathin germanium solar cell is a novel approach for this technology. A picosecond laser patterning method has been used for the monolithic interconnection of this spectrally selective solar cell at the mini-module level.
APPLIED SURFACE SCIENCE ADVANCES
(2022)
Article
Energy & Fuels
Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou
Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.
Article
Energy & Fuels
Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan
Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.
Article
Energy & Fuels
Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender
Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.
Article
Energy & Fuels
Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado
Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.
Article
Energy & Fuels
Duan Kang
Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.
Article
Energy & Fuels
Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang
Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.
Article
Energy & Fuels
Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi
Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.
Article
Energy & Fuels
Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong
Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.
Article
Energy & Fuels
Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song
Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.
Article
Energy & Fuels
Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz
Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.
Article
Energy & Fuels
Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He
Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.
Article
Energy & Fuels
Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang
Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.
Article
Energy & Fuels
Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung
Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.
Article
Energy & Fuels
Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu
Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.
Article
Energy & Fuels
Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen
Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.