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Stakeholders in Jordan's construction industry were asked to assess their degree of awareness and knowledge of green building and sustainability, based on their own experiences and understanding, to get insight into how well-informed they are.
As a solution to the lack of sustainable construction in Jordan, manufacturers and suppliers of building materials, and program and project developers, are recommended to invest in environmentally friendly buildings and materials and recycle construction and demolition waste . 5. Conclusions
Results from the interviews showed several reasons for the low adoption of sustainable building practices in Jordan, including lack of knowledge and education, lack of support from stakeholders, and limited rehabilitation and scientific research .
Jordan's private and public sectors' perceptions of green building construction in Jordan can be influenced by the findings of this study, which helps promote the notion of sustainable building construction in Jordan to the research participants.
The optimal configuration of energy storage capacity is an important issue for large scale solar systems. a strategy for optimal allocation of energy storage is proposed in this paper. First various scenarios and their value of energy storage in PV applications are discussed. Then a double-layer decision architecture is proposed in this article.
To this end, this paper proposes a robust optimization method for large-scale wind–solar storage systems considering hybrid storage multi-energy synergy. Firstly, the robust operation model of large-scale wind–solar storage systems considering hybrid energy storage is built.
The case study includes the optimal system economic operation strategy, the comparison of the conventional deterministic optimization model and the two-stage robust optimization model, and the performance analysis of different energy storage configuration schemes. 5.1. Case Parameter Settings
Shen et al. developed the multi-timescale rolling optimization of the hybrid energy storage system considering multiple uncertainties, and they incorporated the scheduling model into the model predictive control framework to efficiently deal with price, renewable energy, and load uncertainties.