A Platform Ecosystem Providing New Data For The Energy Transition DOI

Markus Duchon,

Jessy Matar,

Mahsa Faraji Shoyari

et al.

ACM SIGEnergy Energy Informatics Review, Journal Year: 2024, Volume and Issue: 4(4), P. 226 - 237

Published: Oct. 1, 2024

There is a great need for high-quality and comprehensive data in the energy sector. This collected preprocessed at considerable expense not only required research, but also by planning offices other industries connection with activities, such as creation of municipal heat planning. The NEED ecosystem will accelerate these processes establishing an efficient, robust, scalable ecosystem. Heterogeneous energy-related sources be brought together automatically linked consistently across different sectors well temporal spatial levels. In this context, existing replaced rather integrated into dedicated including semantic description on how to utilize them. addition conventional from various levels, we envision quality assessment scheme based FAIR criteria. reality, are often faced missing data, too. To close gap explore data-driven, model-driven, AI-based, tool-driven generation synthetic data. These heterogeneous interlinked using ontology modules which represented knowledge graph. Via API, queries generated identify sources, orchestrated provide needed. enable researchers, planners, others their tools interact ecosystem, while tool proxy able translate resulting proprietary formats, some operate. planned easy-to-maintain, flexible infrastructure enhance measures levels time horizons. We evaluate our approach transparent provision integrating relevant microservices, definition analysis application scenarios domain, integration purposes. With elements, quantify efficiency procurement demonstrate functionality practical use cases.

Language: Английский

What Have Urban Digital Twins Contributed to Urban Planning and Decision Making? From a Systematic Literature Review Toward a Socio-Technical Research and Development Agenda DOI Creative Commons
Shervin Azadi, Dena Kasraian, Pirouz Nourian

et al.

Smart Cities, Journal Year: 2025, Volume and Issue: 8(1), P. 32 - 32

Published: Feb. 13, 2025

Urban digital twins (UDTs) were first discussed in 2018. Seven years later, we ask: What has been their contribution to urban planning and decision making so far? Here, systematically review 88 peer-reviewed articles map compare UDTs’ ambitions with realized contributions. Our results indicate that despite the vast technical developments, socio-technical challenges have remained largely unaddressed, causing many of remain unrealized. We identify three categories these challenges: interdisciplinary integration (II), consensual contextualization (CC), procedural operationalization (PO). Accordingly, consolidate a research development agenda realize UDTs for making: Augmented Planning (AUP).

Language: Английский

Citations

2
Municipal heat planning within The World Avatar DOI Creative Commons

Yi-Kai Tsai,

Markus Hofmeister,

Srishti Ganguly

et al.

Energy and AI, Journal Year: 2025, Volume and Issue: unknown, P. 100479 - 100479

Published: Feb. 1, 2025

Language: Английский

Citations

0
Formalizing-modelling-utilizing ontology: A semantic framework for adaptive stakeholder-specific urban digital twins in urban planning processes DOI Creative Commons
Shervin Azadi, Dena Kasraian, Pirouz Nourian

et al.

Environment and Planning B Urban Analytics and City Science, Journal Year: 2025, Volume and Issue: unknown

Published: March 25, 2025

Urban Digital Twins (UDTs) have emerged as integrated collections of urban data and models aspiring to enhance planning decision-making processes. However, current UDTs often fail connect siloed disciplines, represent diverse stakeholder views, or adapt the dynamic nature Realizing potentials is hindered by these socio-technical challenges, we developed validated FMU Ontology address them. provides a set semantic representations that (1) promote interoperability integration across disciplinary models, (2) enable developing using network stakeholder-specific facilitate engagement consensus-building, (3) embed within processes allow stakeholders’ questions priorities evolve. Furthermore, validate efficacy through consistency competency tests. Lastly, in case study on strategic densification Eindhoven, Netherlands, demonstrate how enables adaptive collaborative use UDTs, addressing key challenges decision-making.

Language: Английский

Citations

0
Urban Vulnerability Assessment of Sea Level Rise in Singapore through the World Avatar DOI Creative Commons
Shin Zert Phua, Kok Foong Lee,

Yi-Kai Tsai

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(17), P. 7815 - 7815

Published: Sept. 3, 2024

This paper explores the application of The World Avatar (TWA) dynamic knowledge graph to connect isolated data and assess impact rising sea levels in Singapore. Current level rise vulnerability assessment tools are often regional, narrow scope (e.g., economic or cultural aspects only), inadequate representing complex non-geospatial consistently. We apply TWA conduct a multi-perspective Singapore, evaluating vulnerable buildings, road networks, land plots, sites, populations. introduce OntoSeaLevel, an ontology describe scenarios, its on broader elements defined other ontologies such as buildings (OntoBuiltEnv ontology), networks (OpenStreetMap plots (Ontoplot Ontozoning ontology). deploy computational agents synthesise from government, industry, publicly accessible sources, enriching with metadata property usage, estimated construction cost, number floors, gross floor area. An agent is applied identify instantiate impacted sites using OntoSeaLevel. These include populations at risk. showcase these unified visualisation, demonstrating TWA’s potential planning tool against through assessment, resource allocation, integrated spatial planning.

Language: Английский

Citations

0
A Platform Ecosystem Providing New Data For The Energy Transition DOI

Markus Duchon,

Jessy Matar,

Mahsa Faraji Shoyari

et al.

ACM SIGEnergy Energy Informatics Review, Journal Year: 2024, Volume and Issue: 4(4), P. 226 - 237

Published: Oct. 1, 2024

There is a great need for high-quality and comprehensive data in the energy sector. This collected preprocessed at considerable expense not only required research, but also by planning offices other industries connection with activities, such as creation of municipal heat planning. The NEED ecosystem will accelerate these processes establishing an efficient, robust, scalable ecosystem. Heterogeneous energy-related sources be brought together automatically linked consistently across different sectors well temporal spatial levels. In this context, existing replaced rather integrated into dedicated including semantic description on how to utilize them. addition conventional from various levels, we envision quality assessment scheme based FAIR criteria. reality, are often faced missing data, too. To close gap explore data-driven, model-driven, AI-based, tool-driven generation synthetic data. These heterogeneous interlinked using ontology modules which represented knowledge graph. Via API, queries generated identify sources, orchestrated provide needed. enable researchers, planners, others their tools interact ecosystem, while tool proxy able translate resulting proprietary formats, some operate. planned easy-to-maintain, flexible infrastructure enhance measures levels time horizons. We evaluate our approach transparent provision integrating relevant microservices, definition analysis application scenarios domain, integration purposes. With elements, quantify efficiency procurement demonstrate functionality practical use cases.

Language: Английский

Citations

0