The increasing greenhouse gas (CO2) emissions constitute one of the most significant global environmental issues. CO2 emissions from buildings and transportation are responsible for the largest proportion of total global carbon emissions from various sectors. Therefore it is necessary to utilize clean energy sources (e.g., renewable energy, energy storage systems, and electric vehicles) to decarbonize the building and transportation sectors. The integrated building transportation energy system (IBTES) is a system that combines the energy demands of buildings and transportation in an integrated manner. However, this integrated system has many issues in its practical applications, especially considering the social and economic aspects. A social and economic analysis of IBTES will consider the impacts on various stakeholders, including building owners and users, transportation users, energy suppliers, etc. This study will systematically summarize the current application and development status of IBTES from both social and economic perspectives. In terms of the social perspective, IBTES can improve energy efficiency and reduce CO2 emissions, which will have a positive impact on the environment and public health. From an economic perspective, IBTES has the potential to decrease the energy costs of buildings and transportation users. In addition, it has the potential to create new jobs in the energy and transportation sectors, and potentially attract new businesses and investments to a region. This study also summarizes several issues and challenges of IBTES, including the cost of implementing and maintaining the system, social acceptance, and inadequate related regulations. Based on this, the study proposes recommendations to effectively promote the implementation of IBTES. This study can provide some theoretical guidelines and suggestions for policymakers.

The vigorous expansion of renewable energy as a substitute for fossil energy is the predominant route of action to achieve worldwide carbon neutrality. However, clean energy supplies in multi-energy building districts are still at the preliminary stages for energy paradigm transitions. In particular, technologies and methodologies for large-scale renewable energy integrations are still not sufficiently sophisticated, in terms of intelligent control management. Artificial intelligent (AI) techniques powered renewable energy systems can learn from bio-inspired lessons and provide power systems with intelligence. However, there are few in-depth dissections and deliberations on the roles of AI techniques for large-scale integrations of renewable energy and decarbonisation in multi-energy systems. This study summarizes the commonly used AI-related approaches and discusses their functional advantages when being applied in various renewable energy sectors, as well as their functional contribution to optimizing the operational control modalities of renewable energy and improving the overall operational effectiveness. This study also presents practical applications of various AI techniques in large-scale renewable energy integration systems, and analyzes their effectiveness through theoretical explanations and diverse case studies. In addition, this study introduces limitations and challenges associated with the large-scale renewable energy integrations for carbon neutrality transition using relevant AI techniques, and proposes further promising research perspectives and recommendations. This comprehensive review ignites advanced AI techniques for large-scale renewable integrations and provides valuable informational instructions and guidelines to different stakeholders (e.g., engineers, designers and scientists) for carbon neutrality transition.