Recent News

CACTUS (Comprehensive Assessment and Computational Toolset for Urban Solar) is a Python-based set of tools and workflows for analysing integrated photovotlaic arrays. The repository provides a set of established workflows to move from low level of detail geometry and descriptive data through the automatic design of an array and the IV-based calculation of that array.

RISE (Repository for Integrated Solar Energy) contains a database of integrated photovoltaic projects around the world. With each project you will find key performance metrics and images, as well as a link for further information.

Bombyx and Hive are Rhino Grasshopper tools for the assessment of embodied emissions (LCA) and energy. The combination of both tools offers a powerful, integrated workflow for architects and engineers to evaluate both operational and embodied emissions during the early stages of design.

Community solar (CS) involves the use of shared solar photovoltaic and energy storage systems within a local community, a concept that has grown in popularity in recent years. In this project, we aim to facilitate the coordination of decentralized CS investments through dynamic pricing and to improve the performance of CS by implementing land use regulation controls.

Segment for Solar Facades (S4S) is a tool that utilizes instance segmentation methods to accurately estimate the solar energy potential of building facades. Facades vary greatly in their design, and the placement of solar panels must be tailored to each application. S4S takes into account the architectural details and variations of facades, providing a more accurate assessment of their solar potential.

Automatic facade panelization tool for optimal BIPV layouts, based on underlying high-resolution cell simulations.

ACACIA (parAmetric Configurator for A photovoltaiC life cycle Impact Assessment) is a web-based tool that lets you customize solar panels and instantly calculate their environmental impact across 14 key categories, including GWP and human toxicity. Architects, engineers, and planners can now make environmentally-informed decisions for sustainable PV design, all with real-time feedback on their choices.

Solar-EV-Charging aims at integrating Electric Vehicles (EVs) to enhance the deployment of Photovoltaic (PV) systems in tropical Singapore. Leveraging a large-scale GPS-based mobile phone dataset, EV mobility patterns across Singapore are predicted, with detailed views zooming into specific communities. Aligning with localized PV energy potentials, EVs can thus be optimally used as time and spatially dynamic batteries.

Assessing solar irradiance on facades is challenging due to complex urban features. SolarGAN helps by introducing a Deep Learning model that generates stochastic solar irradiance time series from simple fisheye images, offering a faster, data-driven alternative to labor-intensive simulations for robust BIPV energy system design.