Investigating the Efficiency of Building Energy Simulation Software on Architectural Design Process

Energy consumption analysis intended for real office space with energy recovery ventilator by integrating BES and CFD approaches

This paper comprehensively examines passive and active energy retrofit strategies as a highly effective approach for reducing building energy consumption and mitigating CO2 emissions while enhancing comfort and sustainability. The paper further examines energy simulation software and assesses the integration of renewable energy systems in building to improve energy efficiency. The review used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology, ensuring a rigorous and comprehensive analysis. In addition, the study utilized bibliometric analysis with VOSviewer to provide valuable insights into the research trends and influential publications in building energy retrofits. Bibliometric analysis reveals strong collaboration among 17 authors, emphasizing their significant contributions. Keywords like energy retrofitting and efficiency are prominent, indicating their importance in academic literature. Findings show passive strategies are more effective in reducing energy consumption, though a combined approach with active strategies can yield optimal results. Retrofitting presents challenges, such as substantial initial costs and regulatory barriers. User acceptance is crucial, considering potential disruptions. The review highlights the importance of energy simulation software, with tools like EnergyPlus, eQUEST, and IES VE identified for evaluating and identifying cost-effective retrofit measures in building performance. By providing comprehensive insights into the various strategies and tools available for retrofitting buildings to achieve energy efficiency and sustainability goals, this review serves as an authoritative resource for building owners, managers, and professionals in the building industry. It offers invaluable guidance for informed decision-making and facilitates implementing effective, energy-efficient, and sustainable building retrofitting practices.

Demand controlled ventilation: A case study for existing Swedish multifamily buildings

Early predicting cooling loads for energy-efficient design in office buildings by machine learning

A simulation-based workflow to calculate overall thermal transfer value when implementing daylighting-oriented shading control

Analyzing excess heat factors of convective/radiant terminals: Balancing beginning and steady stage

This study explores the integration of Building Information Modeling (BIM) technology with green building practices against the backdrop of global building energy consumption and carbon emissions, accounting for significant proportions of total energy use and emissions. The research highlights the importance of BIM in achieving low-carbon and sustainable building development, which is crucial for environmental protection and meeting carbon neutrality goals. This paper examines BIM's applications in daylight analysis, HVAC load calculation, and energy consumption analysis within the building lifecycle. It demonstrates how BIM, combined with energy simulation software like EnergyPlus and IES VE, optimizes building design, construction, and operation for enhanced energy efficiency and reduced carbon emissions. The study reveals that BIM enables precise daylight simulation, optimizing building orientation and design to increase natural lighting and reduce artificial lighting use. In HVAC load calculations, BIM provides detailed building data for accurate load assessments, leading to efficient system designs. Furthermore, BIM's integration with energy analysis tools allows for comprehensive energy consumption prediction and optimization throughout a building's lifecycle, from construction to operation, improving energy management and reducing operational costs. This research underscores the potential of BIM technology to drive innovation in green building practices, offering valuable insights for the construction industry's transition toward sustainability and carbon reduction.

In building energy simulations, the air infiltration and interzonal airflow are generally either not considered or calculated oversimplified. However, the effects of air infiltration and building airflow have an impact on the thermal comfort and the building’s energy load. The various zones in multi-zone buildings, the operation of windows, doors and mechanical ventilation make the system’s analysis complex and challenging. Building airflow affects pressure, temperature and moisture differences. Therefore, this study investigate the airflow inside a multizone building with changing user behavior, using a coupled building and system energy simulation. A decentralized air-only HVAC system provides the ventilation system with a control strategy, which variably adapts the airflow to the load in the individual zones. The effects of the air infiltration, interzonal airflow and mechanical ventilation in the building are investigated with a node and link network in TRNSYS using the airflow model TRNFLOW (COMIS). Investigating different variations of the ventilation rates and building’s airtightnesses, the results are shown by comparison with a reference model without airflow simulation. Finally, this study shows a comprehensive approach at low computational costs, determining the air quality, the thermal conditions and the airflow in a multizone building using an HVAC system.

Co-simulation of dynamic underground heat transfer with building energy modeling based on equivalent slab method

Different climate bring about different buildings, Climate has very close relation with architecture. Building climatic classification has important direction mean for architecture design, building energy efficiency and building energy simulation. Ago, China classified building climate using temperature, relative humidity, etc.. Degree, relative humidity and clearness index were regarded as classification factors. Meteorological data of 165 stations from 1970 to 2000 is used to reclassify building climate in China. Six types of building climates which respectively is Warm, Warm & humid, Weak solar radiation & humid, Cold & dry, Cold and Sever Cold & dry was obtained, character of every climate zone was summarized.

With the rapid development of the global economy, the world energy consumption is increasing day by day. Mankind is facing the problem of energy shortage. Energy conservation and emission reduction has become the focus of countries all over the world. In order to study the influence of building envelope on building energy efficiency in severe cold area, the sensitivity analysis is used to analyze the influence relationship between building envelope and building energy efficiency. Combined with DeST simulation software, the building model is established, and the arc mean elasticity method is used to analyze the sensitivity of building energy load to different building envelope parameters. The results show that the external windows of the building envelope have the greatest impact on the building energy efficiency, followed by the external walls, and the roof has the least impact on the energy efficiency. The sensitivity coefficients of the annual cumulative load to the external windows, exterior walls and roofs of buildings are 7.93%, 5.76% and 5.75% respectively. Studying the influence of enclosure structure on building energy efficiency in severe cold areas has important practical value for reducing building energy consumption in severe cold areas, and provides data reference for scientifically improving building energy efficiency and building skill transformation in severe cold areas.

The world is undergoing rapid transformation, particularly in terms of population growth, which has significant implications for energy consumption and sustainability. Projections indicate that existing primary energy sources may be depleted within the next century, underscoring the urgent need to enhance energy efficiency in the built environment. Buildings, as one of the largest consumers of energy, contribute substantially to global energy demand. As cities expand and populations rise, energy efficiency in buildings becomes even more critical to achieving sustainable development. The United Nations' Sustainable Development Goals (SDGs) emphasise the importance of "Sustainable Cities and Communities (SDG11)", reinforcing the necessity of reducing energy consumption through innovative strategies and technologies. This topical collection brings together pioneering research that offers novel approaches for optimising energy use in buildings, integrating digital tools, improving architectural education, and enhancing sustainability in school environments. The studies presented here provide practical solutions and insights for advancing energy efficiency in the built environment.The article by Borodinecs et al. presents a framework for continuous dynamic energy simulations to enhance decision-making in office building operations. Through OpenStudio modelling and Python-based modifications, the research demonstrates how optimising the operation of air handling units alone can significantly improve energy efficiency while maintaining occupant comfort.Additionally, the study highlights the potential for integrating digital twins with machine learning algorithms to automate building energy optimisation strategies, further advancing sustainable building management.Addressing the sustainability of educational environments, the study by Salameh and Touqan explores the impact of courtyard orientation on microclimate and energy consumption in hot climates. Using a standardised template applied to numerous school buildings, the study finds that north-facing courtyards provide cooler microclimates, reducing both indoor temperatures and cooling demands.These findings reinforce the importance of strategic design considerations in educational facilities, offering practical solutions for enhancing thermal comfort and sustainability in hot climates.

Effect of facade components on energy efficiency in office buildings

Development of a radiant heating and cooling model for building energy simulation software

Energy Conservation Strategy Research for Residential Building Refurbishment in Urban area of China