Optimising choices of ‘building services’ for green building: Interdependence and life cycle costing

Illankoon, I.M. Chethana S.; Lu, Weisheng

doi:10.1016/j.buildenv.2019.106247

Cited by 27 publications

(9 citation statements)

References 17 publications

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“…It does not add additional construction difficulty, and the total cost does not increase much. However, it can reduce the repair cost of the waterproof layer, prolong the service life of the roof, and bring long-term benefits [ 10 ]. However, several problems have also emerged in the practical application of inverted roofs, such as the infiltration of rainwater into the gaps between the roof insulation boards, which can result in a decrease in the overall insulation performance of the roof.…”

Section: Related Workmentioning

confidence: 99%

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Optimization Method for Energy Saving of Rural Architectures in Hot Summer and Cold Winter Areas Based on Artificial Neural Network

Yong

Liu

Tian

2022

Computational Intelligence and Neuroscience

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With the phased spatial planning of the rural revitalization strategy, the proportion of architecture energy consumption in the overall social energy consumption is also increasing year by year. Considering the hot summer and cold winter areas, the proportion of architecture energy consumption in the total energy consumption is very large. The ecological environment and natural resources have been greatly threatened, and the issue of energy conservation and environmental protection is imminent. Energy consumption prediction and analysis is an important branch of building energy conservation in the field of building technology and science. Aiming at the energy consumption characteristics of rural architectures in areas with hot summer and cold winter, this paper proposes a method for constructing a neural network model. When building a neural network, the dataset is called and the function is applied randomly to training samples. The data are used for simulation tests to analyze the fit between the predicted results and the calculated results. Flexible forecasting of specific target building energy consumption is achieved, which can provide optimization strategies for updating and adjusting architecture energy efficiency design. The experimental analysis benchmark parameters and the output value in the dataset are compared with the target simulation value. The relative error is less than 4%, and the average relative error value (mean) and the root mean square error (RMSE) value are both controlled within 2%. It is proved that the method in this paper can directly reflect the evaluation of energy consumption by the neural network and realize the high-speed conversion of the generalized model to the concrete goal, which has a certain value and research significance.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Optimization Method for Energy Saving of Rural Architectures in Hot Summer and Cold Winter Areas Based on Artificial Neural Network

Yong

Liu

Tian

2022

Computational Intelligence and Neuroscience

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“…Keadah manual ini masih boleh digunakan, namun begitu kaedah ini sudah ketinggalan dan menggunakan masa yang banyak untuk mengisi dan mengaturkan kerja penyelenggaraan, selain data mudah hilang semasa fasa merekod. Kaedah ini juga tidak sesuai jika data yang perlu diisi adalah besar dan kompleks kerana ia menyebabkan operasi yang perlahan dan menggunakan masa yang panjang [19]. Selain itu, perkembangan teknologi juga memberi kesan negatif kerana tidak semua organisasi dan bangunan mampu mengguna dan mengintegrasikan teknologi sedia ada bersama teknologi yang baru, dan ini akan meningkatkan kerja dan kos selenggara apabila perlu menggantikan teknologi lama [9].…”

Section: Teknikal Dan Teknologiunclassified

Penyelenggaraan Bangunan dalam Pengurusan Fasiliti: Elemen Mempengaruhi Kualiti Amalan Penyelenggaraan Bangunan

Jaini

Yusoff

Ishak

et al. 2022

JSTARD

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Amalan penyelenggaraan bangunan adalah komponen utama yang dapat menentukan prestasi dan kualiti sebuah organisasi atau bangunan. Namun begitu, tanpa pemahaman dan kemahiran yang diperlukan, matlamat sebenar penyelenggaraan tidak dapat dicapai. Artikel ini menerangkan elemen yang mempengaruhi amalan penyelenggaraan bangunan dengan menggunakan kaedah analisis dokumen dan literatur yang berkaitan dengan amalan penyelenggaraan bangunan terbaik. Dapatan kajian ini adalah tujuh elemen iaitu elemen pengurusan am, pengurusan staf, kewangan, pengurusan kontraktor, teknikal dan teknologi, bangunan dan kesedaran. Hasil data ini menunjukkan bahawa gabungjalin diantara elemen ini akan menjadikan amalan penyelenggaraan bangunan yang efisien dan sistematik.

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“…However, because China's green building standard system is not perfect, and foreign green building evaluation systems, such as BREEAM and LEED, are not suitable for China's national conditions, the performance of most domestic green buildings in the operation stage cannot be effectively evaluated [5]. In addition, at the current stage, the design capacity for the whole life cycle of green buildings is insufficient and the scale production efficiency is low, which ultimately causes the production cost of green buildings in China to be much higher than that of traditional construction methods [6]. According to the calculation, the total incremental cost of green building projects in China is approximately 260 yuan/m 2 [7], which restricts the willingness of developers and construction units to build green buildings to a certain extent.…”

Section: Introductionmentioning

confidence: 99%

Study on Green Building Promotion Incentive Strategy Based on Evolutionary Game between Government and Construction Unit

Chen

Kassem

et al. 2022

Sustainability

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Green buildings are considered to be an effective way to save energy, reduce emissions, and protect the environment. As one of the main bodies of green building construction, the construction unit’s willingness to build seriously affects the promotion of green building. Therefore, based on the viewpoints of natural persons and bounded rationality, this study constructs an evolutionary game analysis model, analyzes the impact of local government subsidy policies on the application strategies of construction units, and analyzes the steady-state and selection strategies. The system dynamics model is established using a flow chart, and the simulation results show that, in the long run, increasing the government subsidy and inspection cost cannot improve the application probability of the construction unit. Furthermore, the inspection intensity of the government and the indirect income of the construction unit has a direct influence on the application probability of the construction unit. The results show that the government should adjust the amount of the subsidy reasonably, improve the penalty mechanism, reduce development costs, strengthen publicity, and encourage construction units to actively apply for green buildings, so as to realize the transformation and upgrade of China’s construction industry.

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Optimising choices of ‘building services’ for green building: Interdependence and life cycle costing

Cited by 27 publications

References 17 publications

Optimization Method for Energy Saving of Rural Architectures in Hot Summer and Cold Winter Areas Based on Artificial Neural Network

Optimization Method for Energy Saving of Rural Architectures in Hot Summer and Cold Winter Areas Based on Artificial Neural Network

Penyelenggaraan Bangunan dalam Pengurusan Fasiliti: Elemen Mempengaruhi Kualiti Amalan Penyelenggaraan Bangunan

Study on Green Building Promotion Incentive Strategy Based on Evolutionary Game between Government and Construction Unit

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