This paper presents a systematic mapping (SM) study with the aim to determine how Building Information Modeling (BIM) methodologies and technologies contribute to energy-related analyses over the course of the entire building life cycle. The method adopted in the study is based on a set of seven research questions. We used a mixed technique combining co-citation analysis and bibliographic coupling in order to analyze the publications’ datasets for the period 2010–2020. The main advantage and novelty of this study are that the joint dataset from the Scopus and Web of Science databases was used to develop the keyword map. The main findings of this study indicate that many BIM-based applications can be used to analyze the building energy performance at all stages of the building life cycle. However, the applications of BIM in conjunction with other information technologies are limited and are still in the initial stage. In the future, the main improvements should be focused on process, model, system, tool, use and information modeling. The most promising long-term solution is an open BIM framework based on open standards, which allows the integration of BIM and energy simulation tools and satisfies specific data exchange requirements.

Growing recognition of climate-related challenges and increasingly ambitious sustainability goals have raised the urgency of improving the energy performance of existing buildings. At the same time, emerging technologies, including advanced materials, artificial intelligence (AI), Building Information Modeling (BIM), Digital Twins (DTs), and Internet of Things (IoT)-based systems, are transforming refurbishment practices. However, research on emerging technologies in dwelling refurbishment remains fragmented, limiting a comprehensive understanding of current developments and future research directions. To address this gap, this study employs a combined bibliometric and systematic literature review to analyze the evolution of research on emerging technologies in dwelling refurbishment. Through quantitative knowledge mapping and qualitative thematic synthesis, the study identifies major research trends, collaboration patterns, and technological developments in dwelling refurbishment. The findings reveal growing research interest in new envelope materials, smart building technologies, advanced urban-scale refurbishment modeling, and participatory approaches within human-centered cyber-physical systems. Despite significant progress, persistent challenges include high implementation costs, scalability limitations, data interoperability issues, policy constraints, climate-related uncertainties, and socio-behavioral barriers. The results of this study offer a strategic research agenda for practitioners, researchers, and policymakers to support technology-driven, sustainable, energy-efficient, and resilient dwelling refurbishment.

Decisions made at the early stage of the design process have a substantial influence on the environmental, socio-economic, and technical performance of a building throughout its life cycle. Although an early-stage sustainability assessment is essential to achieving climate-neutral and nearly zero-energy buildings, its implementation remains challenging due to the need to integrate and evaluate large volumes of heterogeneous data originating from multiple sources and disciplines. In view of this challenge, this study presents a hybrid multi-level approach in which data fusion is combined with Building Information Modeling (BIM), web-based technologies, and multi-criteria decision-making (MCDM) methods to support the assessment of sustainable alternative design solutions for buildings. The proposed approach is implemented in the BIM4NZEB-DS web-based decision-support system and validated through a case study. In the data fusion model, BIM-derived information is combined with data from external sources within a unified environment, enabling designers to define sustainability indicators, assign relative level of importance, and evaluate design alternatives across key sustainability dimensions. Automated multi-criteria analysis enables the ranking and comparison of design solutions. The results of the case study demonstrate the capability of the proposed approach in terms of efficiently combining heterogeneous datasets and automating and facilitating systematic comparison of early-stage design alternatives. The findings indicate that a combination of BIM-based information management, web-enabled data fusion, and automated MCDM analysis enhances the transparency, consistency, and robustness of sustainability-oriented decision making. The approach described here contributes to the advancement of digital decision-support systems for sustainable building design and represents a practical tool for supporting climate-neutral building development during the most influential stages of the design process.

The paper examines the development and current state of the Lithuanian construction sector, focusing on the impact of legal, economic, and technological factors. The aim of the research is to evaluate the dynamics of sectoral growth and to identify possible future changes in line with national priorities and European Union regulations. The applied methods include legal analysis, statistical data review, and comparative analysis. The results revealed key challenges such as workforce shortages, rising costs, and uneven levels of digitalization. The paper presents proposals to promote sustainability, competitiveness, and innovation in the construction sector in the near future and summarizes the Lithuanian construction sector challenge. Article in English. Statybos plėtra ir perspektyvos Lietuvoje: apžvalga Santrauka Straipsnyje nagrinėjama Lietuvos statybos sektoriaus raida ir dabartinė būklė, daugiausia dėmesio skiriant teisinių, ekonominių ir technologinių veiksnių poveikiui. Tyrimo tikslas – pagilinti statybos sektoriaus raidos suvokimą, įvertinant jo augimo dinamiką ir nustatant galimus būsimus pokyčius, atsižvelgiant į nacionalinius prioritetus ir Europos Sąjungos reglamentus. Tyrime taikyti metodai apima teisinę analizę, statistinių duomenų apžvalgą ir lyginamąją analizę. Rezultatai atskleidė pagrindinius sektoriaus iššūkius: darbo jėgos trūkumas, didėjančios išlaidos ir netolygus skaitmeninimo lygis. Straipsnyje pateikiamos rekomendacijos, kaip artimiausiu metu skatinti statybų sektoriaus tvarumą, konkurencingumą ir inovacijas, taip pat apibendrinami pagrindiniai Lietuvos statybų sektoriaus iššūkiai. Reikšminiai žodžiai: BIM, inovacijos, Lietuvos ekonomika, statybos sektorius, teisinė sistema, tvarumas.