A data‐driven modeling and analysis approach to test the resilience of green buildings to uncertainty in operation patterns

Abstract

Economic development, population growth, and urbanization are putting increasing pressures on critical resources, such as food, water, and electricity. 1,2 The rapid population growth and urban development are often accompanied by continual increases in CO 2 emissions, 70 percent of which are coming from cities. 3 In countries with extreme climate conditions, the demand for resources, particularly energy, is intensified. 4 For instance, the United Arab Emirates (UAE) is often ranked among the top 10 countries with the highest electricity consumption per capita (MWh/person) in the world. 5,6 When comparing different sectors of the economy, the building sector often carries the highest weight in terms of energy consumption and associated CO 2 emissions. In most developed countries, the building sector accounts for 30 to 40

Dynamic simulation of a solar ejector‐based trigeneration system using TRNSYS‐EES co‐simulator

“…Using energy-efficient and low-carbon technologies for buildings has become a global task because nearly 40% of global energy consumption is allocated to the building sector. 1,2 Since 2010, Co 2 emissions, electricity, and natural gas use have been developed by 1%, 1%, and 2.5% per year, respectively, despite global efforts to improve the building energy performance. 3 Therefore, further research is still needed to enhance the performance of building energy systems.…”

Uncertainty and simulation‐based cost analyses for energy storage systems used in green buildings

“…For example, Al Amoodi and Azar 12 use uncertainty analysis to determine the impact of human action/behavior on the total consumption of energy in commercial buildings. Al Kaabi et al 13 propose a model that quantifies the impact of inputs such as design and operation parameters on the performance of a green‐certified commercial building located in the extremely hot climate of Abu Dhabi, UAE. Results show that adopting the green building features of the local “Estidama” building code reduces energy demand by an average of 17%.…”

“…While studying the impact of individual parameters on the LCOS might provide an idea about its sensitivity to that specific parameter, considering the simultaneous impact of all parameters gives a holistic idea about the dynamic behavior of the LCOS. There can exist synergies between parameters that can cause an impact on the LCOS that is larger than the sum of all parameters' individual effects 13 …”

“…There can exist synergies between parameters that can cause an impact on the LCOS that is larger than the sum of all parameters' individual effects. 13 On the other hand, part of the literature focuses on technical uncertainty. For example, Al Amoodi and Azar 12 use uncertainty analysis to determine the impact of human action/behavior on the total consumption of energy in commercial buildings.…”