Mei Qi Lim's research while affiliated with University of Cambridge and other places
What is this page?
This page lists the scientific contributions of an author, who either does not have a ResearchGate profile, or has not yet added these contributions to their profile.
It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible. In doing so, we process publicly available (personal) data relating to the author as a member of the scientific community.
If you're a ResearchGate member, you can follow this page to keep up with this author's work.
If you are this author, and you don't want us to display this page anymore, please let us know.
It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible. In doing so, we process publicly available (personal) data relating to the author as a member of the scientific community.
If you're a ResearchGate member, you can follow this page to keep up with this author's work.
If you are this author, and you don't want us to display this page anymore, please let us know.
Publications (19)
Today, technological developments are ever-growing yet fragmented. Alongside inconsistent digital approaches and attitudes across city administrations, such developments have made it difficult to reap the benefits of city digital twins. Bringing together experiences from five research projects, this paper discusses these digital twins based on two...
Energy storage systems (ESSs) are a potential solution to the rising issues of electricity price volatility and curtailment of British wind energy. This study performs an extensive and knowledge graph...
Digitalisation enhances communication and therefore offers new ways to achieve efficiency gains in science, technology and society at large. However, there are still many open questions around how digitalisation can contribute to a more sustainable environment and lifestyle. We believe that knowledge graph technology is a promising candidate with w...
Available via https://como.ceb.cam.ac.uk/preprints/287/. In the ongoing pursuit for smarter cities, city administrations are confronted by a challenge to manage the rapid and fragmented technological developments. The latest developments of urban digital twins further contributes to this complexity. This paper suggests that in order to truly reap t...
The paper proposes a novel framework capable of establishing machine-to-machine (M2M) interactions between chemical and electrical systems in the industry. The framework termed as ElChemo addresses the challenges in M2M interaction of entities from different silos, such as differences in the domains’ behaviour, the heterogeneities arising from diff...
In Singapore, decision-makers from multiple ministries and government agencies participate in urban planning and management. This often results in siloed datasets, different data formats and domain specific software: a lack of interoperability that hinders the integration of (big) data in planning. Semantic Web Technology (SWT) can help to solve da...
The purpose of this paper is to determine the effect of different carbon tax rates on the power generation composition of Britain. This was accomplished via a regional, geospatial model, accounting for regional loads, transmission losses and generators of Britain’s current energy infrastructure. This regional model is also compared to a pure dispat...
This paper presents a dynamic geospatial knowledge graph as part of The World Avatar project, with an underlying ontology based on CityGML 2.0 for three-dimensional geometrical city objects. We comprehensively evaluated, repaired and refined an existing CityGML ontology to produce an improved version that could pass the necessary tests and complete...
Available on https://como.ceb.cam.ac.uk/preprints/273/.
This paper presents a dynamic geospatial knowledge graph as part of The World Avatar project, with an underlying ontology based on CityGML 2.0 for three-dimensional geometrical city objects. We comprehensively evaluated, repaired and refined an existing CityGML ontology to produce an improved...
This paper demonstrates the development of a moving point source (MPS) model for simulating the atmospheric dispersion of pollutants emitted from ships under movement. The new model is integrated into the chemistry transport model EPISODE-CityChem v1.3. In the new model, ship parameters, especially speed and direction, are included to simulate the...
Cities are growing fast and facing unprecedented challenges as urban populations grow and resources are becoming scarce. A city's master planning involves a series of decision-making processes and requires knowledge from various domains. Urban planners are seeking computational support. We present a use case of land use type or building function al...
Renewable multi-energy systems have become a promising solution for deep decarbonization. However, government subsidy is needed to incentivize the deployment of renewable technologies for emission reduction. Here, we provide a game theory-based modeling framework along with tailored solution strategy for optimizing multi-energy system design and re...
In this paper, we demonstrate through examples how the concept of a Semantic Web based knowledge graph can be used to integrate combustion modeling into cross-disciplinary applications and in particular how inconsistency issues in chemical mechanisms can be addressed. We discuss the advantages of linked data that form the essence of a knowledge gra...
This paper presents Parallel World Framework as a solution for simulations of complex systems within a time-varying knowledge graph and its application to the electric grid of Jurong Island in Singapore. The underlying modeling system is based on the Semantic Web Stack. Its linked data layer is described by means of ontologies, which span multiple...
The chemical industry is increasingly relying on agents for data acquisition, optimization, and simulation. In order to enable efficient management of agents, Knowledge Graphs (KG) together with agent composition frameworks are therefore applied. However, a method to assess the reliability of agents for such systems is absent. Therefore, this paper...
The J-Park Simulator (JPS) acts as a continuously growing platform for integrating real-time data, knowledge, models, and tools related to process industry. It aims at simulation and optimization in cross-domain and multi-level scenarios and relies heavily on ontologies and semantic technologies. In this paper, we demonstrate the interoperability b...
Digital twins, Industry 4.0 and Industrial Internet of Things are becoming ever more important in the process industry. The Semantic Web, linked data, knowledge graphs and web services/agents are key technologies for implementing the above concepts. In this paper, we present a comprehensive semantic agent composition framework. It enables automatic...
This paper presents an implementation of an automated algorithm powered by market and physical data to improve procurement & production of a chemical plant with the goal of improving the overall economics on the entity. Herein, the algorithm is applied to two scenarios which serve as case studies: conversion of natural gas to methanol and crude pal...
Citations
... As a part of The World Avatar (TWA) [52], a more general dynamic knowledge graph designed for multi-domain representation of knowledge related to the entire world, the system can take advantage of existing tools and frameworks as well as reuse knowledge of the micro-scale structures [90] that could be found as subsystems of cities. For instance, one of the critical TWA components, the J-Park Simulator (JPS) [27], is designed to work with representations of built environments to simulate emissions dispersion from various types of air pollution sources. ...
... The structured nature of knowledge graphs allows for efficient querying and extraction of relevant information, contributing to the effective utilization of large-scale heterogeneous and dynamic data sources. Currently, knowledge graphs are used for the automatic exploration of battery materials [229] and optimization of energy storage systems [230]. ...
... The design of the World Avatar has been demonstrated as one way to implement a comprehensive Universal Digital Twin, for example a digital twin of the UK . The design confers a number of advantages which include the adoption of a distributed architecture that supports a uniform interface to query multiple data sources, the ability to use logical reasoning to verify the consistency of semantic models (Devanand et al., 2021), and a mechanism that allows computational agents to interact to answer questions (Zhou et al., 2019. The use of Linked Data helps address ambiguity, facilitates the discovery and reuse of information and enables the linking of related information. ...
Reference: Universal Digital Twin: Land use
... Ronzhin et al. 2019;Chadzynski et al. 2021a), over the automation of basic information gathering tasks in planning (e.g. Chadzynski et al. 2021), the ability to use novel or more performant multi-domain queries (e.g. Ronzhin et al. 2019;Grisiute et al. 2021), or extending our Ontological representations of planning knowledge (e.g. ...
... TWA could be regarded as an example of a new paradigm for the GeoWeb information systems that go beyond Web 2.0. Being based on the Semantic 3D City Database (Chadzynski et al., 2021) at its core, it ports existing GIS standards to a new graph database and takes advantage of the Open World Assumption (OWA), which is absent in the equivalent relational geospatial databases (Stadler et al., 2009). Coupling it with a system of intelligent autonomous agents based on cognitive architecture extends and scales existing geospatial data transformation tools. ...
... The current energy infrastructure deployment in the UK under different carbon tax systems has further determined the transition window created by the increase in the carbon tax rate. These results are not only important for understanding the current increasing (complementing) carbon tax rate in the UK, but also provide insight for future policies after the UK exits the EU Emission Trading Scheme (ETS), and immediately plans to continue implementing the domestic carbon tax and trading plan (Atherton et al. 2021). However, carbon taxes may actually harm the environment, based on a stylized game model with more informed retailers (people who control the sharing of demand information with manufacturers) and manufacturers. ...
... The CKG has been applied to create cross-domain multi-scale urban planning indicators that can assess the on-site solar energy harvesting potential of different land plots in Singapore . Another application is to determine the urban energy performance of different land use allocations in Singapore (Shi et al., 2021). Existing urban-scale simulation tools are also being integrated, for example, the agentbased mobility simulation framework MATSim . ...
... Stackelberg game (SG) is widely used to describe the multi-layered decision-making process, where the followers determine their optimal strategies in response to the decision made by the leader (leadingplayer) [69]. To capture the interactions among the three hierarchical layers of entities, a two-loop SG model is formulated. ...
... "The purpose of the narrative is therefore to make the connections to ordinary experience through ordinary language and peel away the presuppositions so as to engage as well as to persuade" (Guhathakurta, 2002). Within TWA, the Parallel World Framework has been already used in the past to create similar simulations altering electrical grid of Jurong Island in Singapore by adding renewable energy sources and optimizing the infrastructure for carbon tax (Eibeck et al., 2020). Therefore, narratives could also be regarded as alternative worlds or versions of reality that communicate a story. ...
... For example, UMLS [78] is a domain-specific knowledge graph in the medical domain, which contains biomedical concepts and their relationships. In addition, there are some domainspecific knowledge graphs in other domains, such as finance [79], geology [80], biology [81], chemistry [82] and genealogy [83]. ...