The need of combating climate change and completing the Sustainable Development Goals (SDGs) has been increasingly recognized during the last decade. The field of decision science has been essential in this effort, allowing us to refine our strategies for cutting emissions and increasing sustainability over time. The development of smart, active buildings that can actively and effectively contribute to the reduction of carbon emissions is a direct result of the contributions of decision science at a time when technological advancement and environmental stewardship are at an inflection point. The SDGs will be much easier to achieve because to these developments.
Decision sciences based ‘smart active buildings’ and ‘net-zero energy buildings’ try to maintain indoor thermal comfort while using as little energy as possible (Castagneto Gissey et al., 2021; Motlagh et al., 2020). Smart active building modelling has significant advantages for improving building energy efficiency, Storage, and the development of sustainable energy systems (Bourdeau et al., 2019). In order to achieve the United Nations’ Sustainable Development Goals, smart active buildings have become an attractive option for addressing global imperatives and strict environmental standards connected to energy and sustainability. In addition, smart active buildings demonstrated how technological innovation and brilliance may assist in achieving the sustainable energy goals and minimize GHG emissions.
Energy use in buildings is responsible for 40% of global greenhouse gas emissions. Despite the initiatives taken in different parts of the world, an increasing trend in energy usage is being experienced throughout the globe. Many analysts think this rising trend is because of improved living standards. Energy efficiency in building development is strictly regulated in some parts of the world, such as Europe. 40% of overall energy is consumed by buildings in Europe (Kim et al., 2020; Pérez-Andreu et al., 2018). Moreover, greenhouse gas (GHG) emissions have increased significantly due to rising energy demand in homes and businesses. 40% of global direct and indirect GHG emissions and 33% of global energy use are attributed to building energy (Dominković et al., 2018). In order to decrease reliance on the power grid and reduce greenhouse gas emissions,
Researchers are encouraged to submit both original research and review articles for this special issue on use of decision sciences and AI for realization of ‘smart active buildings’ and ‘net-zero energy buildings’ in rapidly urbanizing areas especially in low income population/ countries. The potential topics of this special issue include, but are not limited to:
- Nexus between energy economic and enviromnet.
- Role of green finance for clean energy
- Green finace and emission reduction
- Energy efficney and emission reduction
- Role of green business enterprenure and GHG emission
- Financial developmet and emission reduction
- Financial inclusion and carbon emission
- Role of Eductaion and R&D in climate change mitigation
- Climate change mitigation and environmental pollution
- SMEs and climate change
- Banking sector and environmental degradation
- Possibility of converting existing buildings into smart active buildings.
- Renewable energy and climate change
- Environmnetal Tax
- Energy efficiency and SDGs
- SDGs and climate finance
- Green business startup and SDGs
- Decision science based sustainable energy technologies for smart active buildings.
- Decision science based energy management and control in smart active buildings.
- Decision science based energy performance assessment and optimization of smart active buildings.
- Role of AI in providing energy flexibility and demand response for smart active buildings.
- Inclusive approach covering economic, social and environmental dimensions of smart active buildings.
Bourdeau, M., Zhai, X. qiang, Nefzaoui, E., Guo, X., & Chatellier, P. (2019). Modeling and forecasting building energy consumption: A review of data-driven techniques. Sustainable Cities and Society, 48. https://doi.org/10.1016/J.SCS.2019.101533
Castagneto Gissey, G., Zakeri, B., Dodds, P. E., & Subkhankulova, D. (2021). Evaluating consumer investments in distributed energy technologies. Energy Policy, 149, 112008. https://doi.org/10.1016/J.ENPOL.2020.112008
Motlagh, N. H., Khatibi, A., & Aslani, A. (2020). Toward Sustainable Energy-Independent Buildings Using Internet of Things. Energies 2020, Vol. 13, Page 5954, 13(22), 5954. https://doi.org/10.3390/EN13225954
Submission Deadline: Mar 1, 2024
Dr. Muhammad Mohsin (Saudi Arabia)
Scopus ID: https://www.scopus.com/authid/detail.uri?authorId=57217376244
Taif University Weblink: https://www.tu.edu.sa/En/Deanship-of-Scientific-Research/83/Pages/22621/Taif-University-International-distinguished-researchers
Email: [email protected], [email protected]
Dr. Victor Shi (Canada)
Google Scholar: https://scholar.google.com/citations?hl=en&user=9SSy6KEAAAAJ
Email: [email protected]
Dr. Hashim Zameer (China)
Scopus Profile : https://www.scopus.com/authid/detail.uri?authorId=55988025900
Email: [email protected]
Manuscript submission information:
You are invited to submit your manuscript before the submission deadline of Mar 1, 2024. For any inquiries about the appropriateness of contribution topics, please contact Managing Guest Editor Muhammad Mohsin via [email protected]
When you make a submission to this special issue, please write down the special issue topic in the “Comments for the Editor”.