# Exploring the Benefits and Limitations of Digital Twin Technology in Building Energy
## 5 Digital Twin Technology for Energy Sector Development
### Software for Energy Prediction-Actual Software Cases
[97] conducted a Building Information Modelling (BIM) and energy analysis of a large public building in Xinghua, Jiangsu Province, China, in order to investigate the comfort and carbon emissions of a large public building design. It was concluded that an interactive design of outdoor ambient paving and indoor ventilation atrium skylight orientation can effectively balance comfort and carbon reduction in large public buildings, providing an important reference for low-carbon development and green building design strategies. [PERSON] et al. conducted a study on the energy performance of green roofs and green walls in a building in Singapore in a tropical climate. The study methodology included simulating the energy performance of the building's green roof and green walls using Autodesk Revit and Insight software. The results show that green roofs and green walls can significantly reduce the energy consumption of buildings, especially in tropical climates. [PERSON] et al. [54] used tools such as Revit, Dynamo, Project Fractal, and Insight 360 for building BIM modeling and energy analysis. The research methods include building facade optimization, energy performance prediction, and optimization, the impact of natural ventilation on the indoor environment and comfort, and design quality studies. The results show that the use of 3D, energy, and CFD models of buildings allows for interoperability and data exchange and increases efficiency. This study presents a methodology for examining the energy performance of buildings, focusing on building facade optimization, model-based energy performance prediction, and optimization, the impact of natural ventilation on air quality and comfort, and a design quality study with simulations included in the field of energy consumption. [PERSON] et al. [99] conducted an energy analysis of an office building in London to study the impact of HVAC system retrofitting on the building. For the impact of energy consumption, the detailed analysis of the HVAC system retrofit includes the impact of different retrofit strategies on total energy consumption, operational carbon emissions, and operating costs. Section 7 states that energy efficiency improvements are not always feasible due to design, application, and cost and that energy retrofitting of HVAC systems is an effective way to improve energy, carbon, and cost. This study has established a methodology for HVAC energy retrofitting in existing office buildings to reduce energy, carbon, and costs. In addition to traditional energy modelling software, some studies have incorporated other software and techniques. [PERSON] et al. modeled and compared real-time energy consumption between buildings of different years of construction in the central Olympic area of Beijing. The eQUEST software was used to simulate and analyze building energy consumption. Nineteen influencing factors were selected for analysis, including household income, household conditions, building conditions, lifestyle, household appliances, and energy efficiency concepts. The results showed that the height of the building, floor area per person, number of inhabitants, number of air conditioners and computers, and air conditioning cooling methods were the most important factors influencing energy consumption. [PERSON] et al. [86] conducted Zero-Energy Building Certification for selected buildings in Korea using an energy simulation program (ECO2). For the study methodology, the main approach involved collecting and analyzing seasonal temperature data from hydrothermal sources, constructing a database of hydrothermal sources, and then using the ECO2 program to calculate geothermal/hydrothermal energy self-sufficiency. [PERSON] et al. [77] investigated how urban form affects the energy consumption and solar potential of buildings, using the example of a residential area in Jianhu, China. The article uses the Grasshopper platform for building modeling and energy analysis.