Syahrien, Haeckel Alfie (2020) Optimasi Energy Efficiency and Conservation (EEC) pada Gedung Waskita Karya Jakarta dengan Konsep Green Building Menggunakan Metode Genetic Algorithm. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Perkembangan pembangunan gedung dari tahun ke tahun khususnya di Indonesia semakin tinggi. Banyak owner yang hanya memperhatikan seni arsitektur gedung tanpa melihat kepada aspek konservasi dan efesiensi energi pada gedung tersebut. Dari data yang diperoleh hanya 20 gedung yang tersertifikasi green building dari -+700 gedung yang telah terbangun di Indonesia. Padahal dengan menggunakan konsep energy efficiency and conservation pemilik gedung mendapat keuntungan dari saving cost yang didapat dari konsep efisiensi tersebut. Meskipun adanya saving cost yang diperoleh dari biaya investasi green building. Banyak pemilik gedung yang masih berfikir ulang karena biaya investasi yang mahal. Hal ini karena pengurangan energi harus difasilitasi dengan komponen-komponen pendukung yang tidak tersedia banyak dipasar umum. Penggunaan energi pada gedung disebabkan oleh sistem pendingin yang berperan dalam mendinginkan bebean panas. Komponen beban panas yang berperan besar dalam penurunan penggunaan sistem pendingin adalah beban eksternal. Beban eksternal dipengaruhi oleh jenis selubung baik dinding, kaca maupun atap. Dengan jenis dinding yang sama, penggunaan jenis kaca dan atap yang memiliki spesifikasi baik mampu mengurangi beban panas yang dihasilkan. Hanya saja jenis kaca dan atap memiliki sifat mixed integer non-linier programming terhadap harga investasi dan perhitungan beban panas tersebut. Optimasi adalah salah satu metode yang diperlukan untuk menentukan jenis kaca dan atap yang terbaik dalam menurunkan beban eksternal yang akan masuk kedalam gedung. Sehingga dengan optimasi menggunakan genetic algoritm dapat mendapatkan hasil yang optimum dalam menggunakan energi. Dengan mempertimbangkan biaya investasi yang minimal sudah mendapatkan energi se-minimal mungkin.
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The development of building construction from year to year, especially in Indonesia, is getting higher. Many owners only pay attention to building architecture without looking at conservation aspects and energy efficiency in the building. From the data obtained only 20 buildings are certified as green building from - + 700 buildings that have been built in Indonesia. Even though using the concept of energy efficiency and conservation, building owners benefit from the savings obtained from the concept of efficiency. Although the existence of saving costs is derived from the cost ofinvestment green building. Many building owners are still rethinking because of the expensive investment costs. This is because energy reduction must be facilitated with supporting components that are not widely available in the public market. The use of energy in buildings is caused by a cooling system that plays a role in cooling the heat. The component of heat load which plays a major role in decreasing the use of the cooling system is external load. External load is influenced by the type of sheath both walls, glass and roof. With the same type of wall, the use of glass types and roofs that have good specifications can reduce the heat load produced. It's just that the type of glass and roof has acharacteristic mixed integer non-linear programming of the investment price and calculation of the heat load. Optimization is one of the methods needed to determine the type of glass and roof that is best in reducing the external load that will enter the building. So that by optimizing using genetic algorithms can get optimum results in using energy. By considering the investment costs that have at least gotten as minimal energy as possible.
Item Type: | Thesis (Other) |
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Additional Information: | RSF 621.042 Sya o-1 2020 |
Uncontrolled Keywords: | beban eksternal, green building, genetic algorithm, mixed integer non-linear programming |
Subjects: | Q Science > QC Physics Q Science > QC Physics > QC320 Heat transfer |
Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis |
Depositing User: | Haeckel Alfie Syahrien |
Date Deposited: | 13 Jan 2025 07:45 |
Last Modified: | 13 Jan 2025 07:45 |
URI: | http://repository.its.ac.id/id/eprint/74536 |
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