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The wall system constitutes a large portion of the material used in building construction. Although interior walls cover more surface area within a building, published literature has mainly focused on the performance assessment of exterior walls. The aim of this research is to examine the life cycle environmental, social, and economic performance of interior wall construction methods (i.e., concrete block masonry, wood stud gypsum, and steel stud gypsum) used for industrial, commercial, and institutional buildings. The findings indicated that the environmental, social, and economic performance of concrete block masonry wall is 49%, 23%, and 18% higher than the next best alternative. This research has generated important information that can be used in material specification for greener building design. [ABSTRACT FROM AUTHOR]

Supplying the energy needs of a community through renewable energy sources is a vital aspect in developing sustainable communities. Many variations and uncertainties affect the development of a renewable-powered net-zero energy system. Community developers face challenges in making the investment decisions when planning community-level renewable energy (RE) projects. This study aims to address the need for reliable methods to assess RE project deployment strategies. To achieve this, the key decision variables were identified and dynamic project performance was assessed for a Canadian RE case study. A framework was developed using system dynamics for rating renewable energy project deployment scenarios. A fuzzy logic-based optimization process was used to identify the optimal system capacities and energy mix. The optimal energy supply mix was identified as follows for the case study: grid electricity- 56%, solar PV – 28%, biomass – 11%, and waste-to-energy– 5%. The results of the system dynamics based rating indicated that stage-by-stage construction that also accounts for community growth in facility capacity sizing provides the best outcomes for the community, with 42.8% of the community's energy demand supplied with renewables. The developed model can help community developers to identify the best energy choices and investment strategies when planning community energy systems. • Energy planning involved technical, economic, and environmental dimensions. • Planning hybrid RE systems at community level supports net-zero development. • Multi-objective optimization is used to identify the optimal energy supply mix. • System dynamics modelling is used to evaluate long-term RE project performance. • Phased development with capacity growth is a better choice for community RE. [ABSTRACT FROM AUTHOR]