CM

Clayton Miller

11 records found

Enhancing urban energy modeling

A case study of data acquisition, enrichment, and evaluation in Berlin

Urban Building Energy Modeling (UBEM) has become a critical tool for developing local heating and cooling plans, as required by the European Union. Despite growing interest, the reproducibility and reliability of UBEM studies remain limited due to data scarcity and workflow compl ...
The widespread availability of open datasets in cities is transforming the way urban energy systems are planned, simulated, and visualized. In this paper, a cross-scale approach is pursued to better understand the reciprocal effects between building energy performance, the urban ...

People in Cities

Combining subjective occupant feedback with urban-scale data to support indoor and outdoor thermal comfort

The increasing availability of urban-scale, open-access datasets can support decision-making in urban planning, in particular in relation to climate resilience and climate change mitigation. Such data-driven initiatives however often neglect the central role of urban dwellers, wh ...
With the increasing stock of ageing infrastructure and resource constraints in Singapore, related risks and carbon emissions can be mitigated through long-term resilience planning, automated building inspection, and effective maintenance. Sustainable actions are needed to maintai ...
In a global context of increasing flexibility in the way workplaces and the districts in which they are located are used, there is a need for occupant-driven approaches to plan urban energy systems. Several authors have suggested the use of agent-based models (ABM) of building oc ...

From Personal Comfort to District Performance

Using Smartwatch and WiFi Data for Occupant-Driven Operation

This work proposes the use of a data-driven, agent-based model of building occupants’ activities and thermal comfort in an urban university campus in order to assess how district operation strategies can be leveraged to support the transition to flexible work arrangements. The re ...
The widespread availability of open datasets in urban areas is transforming how urban energy systems are planned, simulated, and visualized. Urban energy models, however, require an understanding of urban dwellers, as their activities create the demands for energy in buildings. I ...

Elastic buildings

Calibrated district-scale simulation of occupant-flexible campus operation for hybrid work optimization

Before 2020, the way occupants utilized the built environment had been changing slowly towards scenarios in which occupants have more choice and flexibility in where and how they work. The global COVID-19 pandemic accelerated this phenomenon rapidly through lockdowns and hybrid w ...

Towards occupant-driven district energy system operation

A digital twin platform for energy resilience and occupant well-being

This paper presents a digital twin of a university campus in Singapore as a demonstrator for a digital-twin enabled approach to district energy resilience. This paper focuses mainly on the development of the building energy and occupancy models in the digital twin, which are comp ...

Digital Twin-Based Resilience Evaluation of District-Scale Archetypes

A COVID-19 Scenario Case Study Using a University Campus Pilot

District-scale energy demand models can be powerful tools for understanding interactions in complex urban areas and optimising energy systems in new developments. The process of coupling characteristics of urban environments with simulation software to achieve accurate results is ...

Bayesian calibration at the urban scale

A case study on a large residential heating demand application in Amsterdam

A bottom-up building energy modelling at the urban scale based on Geographic Information System and semantic 3D city models can provide quantitative insights to tackle critical urban energy challenges. Nevertheless, incomplete information is a common obstacle to produce reliable ...