Analyzing energy efficiency strategies and designing and simulation energy efficient systems in buildings
Abstract
Green building (also known as green construction or sustainable building) refers to both a structure and the application of processes that are environmentally responsible and resource-efficient throughout a building's life-cycle: from planning to design, construction, operation, maintenance, renovation, and demolition.the past decade has witnessed a rapid increase in the number of studies on GB energy efficiency systems. However, similar studies also indicate that the results of current GB simulations are not yet satisfactory to meet GB objectives. In this study, every particular part of the building construction element was simulated for ensuring energy efficiency.Additionally, a method is introduced that almost satisfies GB objectives by using appropriate modern cost-effective technologies, . This method reduces the initial, running, and maintenance costs of electrical/electronic devices and limits wiring installations, leading to significant energy consumption reduction of about 50%. In this research, renewable energy or green power, that is currently the key solution to tackle the energy crisis ,significantly maximised, hence decreasing the impact of global greenhouse gas emissions.
References
Alwaer, H., & Clements-Croome, D. J. (2010). Key performance indicators (KPIs) and priority setting in using the multi-attribute approach for assessing sustainable intelligent buildings. Building and Environment, 45, 799-807.
Berman, E. S. F., Fladeland, M., Liem, J., Kolyer, R., & Gupta, M. (2012). Greenhouse gas analyzer for measurements of carbon dioxide, methane, and water vapor aboard an unmanned aerial vehicle. Sensors & Actuators: B. Chemical, 169, 128-135.
Chan, K. (2007). Integrating traditional commercial buildings with intelligent building concepts. Cost Engineering, 49, 25-36.
Gadakari, T., Mushatat, S., & Newman, R. (2014). Intelligent buildings: Key to achieving total sustainability in the built environment. Journal of Engineering, Project & Production Management, 4, 2-16.
Guirguis, D., Romero, D. A., & Amon, C. H. (2016). Toward efficient optimization of wind farm layouts: Utilizing exact gradient information. Applied Energy, 179, 110-123.
Günel, G. (2016). What is carbon dioxide? When is carbon dioxide? PoLAR: Political & Legal Anthropology Review, 39, 33-45.
Kuo, C. F. J., Lin, C. H., & Hsu, M. W. (2016). Analysis of intelligent green building policy and developing status in Taiwan. Energy Policy, 95, 291-303.
Kwon, H. J., Yeon, S. H., Lee, K. H., & Lee, K. H. (2018). Evaluation of building energy saving through the development of venetian blinds’ optimal control algorithm according to the orientation and window-to-wall ratio. International Journal of Thermophysics, 39, 1-27.
Lilis, G., Conus, G., Asadi, N., & Kayal, M. (2016). Towards the next generation of intelligent building: An assessment study of current automation and future IoT-based systems with a proposal for transitional design. Sustainable Cities and Society.
Lin, B., & Ahmad, I. (2016). Analysis of energy-related carbon dioxide emission and reduction potential in Pakistan. Journal of Cleaner Production.
Mehta, D. P., & Wiesehan, M. (2013). Sustainable energy in building systems. Procedia Computer Science, 19, 628-635.
Milovanovic, D., Babic, M., Jovicic, N., & Gordic, D. (2012, November). Energy efficiency in buildings, industry and transportation. In AIP Conference Proceedings (Vol. 1499, No. 1, pp. 71-82). American Institute of Physics.
Mláček, M. (2016). Knowledge formalization of intelligent building. AIP Conference Proceedings, 1738, 120005-1-120005-4.
Sherif, A., Sabry, H., & Rakha, T. (2012). External perforated Solar Screens for daylighting in residential desert buildings: Identification of minimum perforation percentages. Solar Energy, 86(6), 1929-1940.
Tih-Ju, C., An-Pi, C., Chao-Lung, H., & Jyh-Dong, L. (2014). Intelligent green buildings project scope definition using project definition rating index (PDRI). Procedia Economics and Finance, 18, 17-24.
Wang, S., Xu, Z., Li, H., Hong, J., & Shi, W. Z. (2004). Investigation on intelligent building standard communication protocols and application of IT technologies. Automation in construction, 13(5), 607-619.
Wong, J., & Li, H. (2006). Development of a conceptual model for the selection of intelligent building systems. Building and Environment, 41, 1106-1123.
Zhu, L., Hurt, R., Correia, D., & Boehm, R. (2009). Detailed energy saving performance analyses on thermal mass walls demonstrated in a zero-energy house. Energy and buildings, 41(3), 303-310.
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