Digital Twin for Positive Energy Districts: A Web- Based Viewer for Scenario Simulation of the mixed-use area Jättesten, Gothenburg
Paper in proceeding, 2025

This research presents a web-based Digital Twin (DT) platform, DT4PED, developed to support the progression toward Positive Energy Districts (PEDs) through integrated modeling, simulation, and visualization capabilities. PEDs, as defined, represent urban areas that aim for net-positive energy performance by harmonizing local energy consumption with on-site renewable energy generation. DT4PED functions as a decision-support tool, amalgamating urban datasets with parametric modeling to assist municipal authorities, urban planners, and facility managers. The platform integrates Grasshopper scripting with EnergyPlus for granular, building-level energy simulations and leverages UrbanOpt for broader, district-level analyses. The interactive web viewer, developed using Unreal Engine and deployed via Pixel Streaming, facilitates real-time visualization of simulation outcomes, comparative scenario analysis, and performance metric display, without necessitating specialized hardware or software installations on the user's side. This architecture endeavors to enhance accessibility and enable collaborative engagement among diverse stakeholders. The system is designed to model various interventions, including energy efficiency measures, the integration of renewable energy sources such as photovoltaics and battery storage, and
demand-side management strategies. The Jättesten district in Gothenburg, Sweden, serves as the initial case study, demonstrating the platform's capacity for real-time scenario testing through interactive visualization and data-driven analytics. While acknowledging the need for further development concerning scalability, integration with existing urban platforms, and managing computational resource demands, this research underscores the potential of Digital Twins to bridge advanced computational modeling with practical energy planning in the context of PED development.

Digital Twin

Energy Simulation

Urban Energy Planning

Positive Energy Districts

Author

Elena Malakhatka

Chalmers, Architecture and Civil Engineering, Building Technology

Sara Abouebeid

Chalmers, Architecture and Civil Engineering, Building Technology

Themistoklis Arvanitis

Chalmers, Mathematical Sciences

Orfeas Eleftheriou

Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

Vasilis Alexandros Naserentin

Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

Dag Wästberg

Stiftelsen Chalmers Industriteknik

Liane Thuvander

Chalmers, Architecture and Civil Engineering, Architectural theory and methods

Proceeding of Conference on Digital Frontiers in Buildings and Infrastructure Series

International Conference on Digital Frontiers in Buildings and Infrastructure (DFBI2025)
Delft, Netherlands,

DigitalTwin4PEDs - Dialogue and Quality Assurance Support for PEDs by Digital Twin District Energy Models

Swedish Energy Agency (P2022-01028), 2022-09-01 -- 2025-08-31.

Digital Twin Cities Centre

VINNOVA (2019-00041), 2020-02-29 -- 2024-12-31.

Driving Forces

Sustainable development

Subject Categories (SSIF 2025)

Civil Engineering

Energy Engineering

Energy Systems

Areas of Advance

Energy

More information

Created

10/21/2025