Green Building to Overcome Climate Change: The Support of Energy Simulation Programs in Gis Environment

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Abstract

The recurrent fossil energy crises and the warning signs of imminent war between countries, are jeopardizing the world’s future. The increasing demand for oil, coal, uranium, lithium, biomass and firewood has caused prices to sky rocket and has triggered off dangerous conflicts all over the world. The civil sector including construction, building management, edifice air conditioning and heating, services, urbanism and settlement is the world’s largest consumer of fossil energy [1]. Since 2020, civil sector has absorbed around 40% of the annual world’s total energy consumption which amounts to 15,000 Mtoe (million tons oil equivalent). This comes to 6,000 Mtoe which is an enormous amount and derives mainly from fossil and similar materials. In order to prevent any new imminent conflicts, de-escalate the current wars, reduce the geo-strategic slavery to and dependence on fossils, trim resource prices and mitigate tragic climate change one structural permanent solution is to gradually GET RID of fossils and render the world free of these brown, exhaustible, divisive, dirty and dark energy sources. As far as the civil sector is concerned, the alternative is TO DESIGN the integration of the use of the numerous green energies into architecture. The aforementioned forms of energy are mainly: solar, pv and thermal; wind: home, onshore and remote offshore; geo thermal, domestic and remote centralized; waste treasuring; hydro power, remote; marine, remote; hydrogen, green nel electrolyzer; etc. The research perform a real world experimentation of the Green Building and Ecological Retrofitting Strategy The proposed and implemented experimentation achieved the important outcome and goal of a Green Building strategy and post-carbon city framework i.e. the significant enhancement of the thermal performance of the buildings as a result of a few targeted key external works and the consequent saving of energy. The Authors contributed equally to the Paper.

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APA

Massimo, D. E., Del Giudice, V., Musolino, M., De Paola, P., & Del Giudice, F. P. (2022). Green Building to Overcome Climate Change: The Support of Energy Simulation Programs in Gis Environment. In Lecture Notes in Networks and Systems (Vol. 482 LNNS, pp. 725–734). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-06825-6_68

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