Designing a smart integrated workspace to improve building energy efficiency: an Indonesian case study

Berawi, Mohammed Ali; Kim, Amy A.; Naomi, Filly; Basten, Van; Miraj, Perdana; Medal, Lysandra A.; Sari, Mustika

doi:10.1080/15623599.2021.1882747

Cited by 23 publications

(19 citation statements)

References 44 publications

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“…Punsawat and Makcharoen said that this requires that the entire power system dispatching must be balanced in real time; in order to cope with the pressure on resources and the environment, China will develop and utilize renewable energy on a large scale and increase the proportion of clean energy, and by 2020 and 2030, the proportion of nonfossil energy in China will reach 15% and 20%, respectively [8]. Berawi and others believe that in the future, a large number of wind power, photovoltaic power generation, and other renewable energy power generation with random fluctuation characteristics will be connected to the grid, which will seriously threaten the quality of power transmission and the safe operation of the power system [9]. Among them, the distributed power generation resources with scattered layout, because of their small installed capacity, as a result, is difficult to fully participate in the competition in the electricity market.…”

Section: Literature Reviewmentioning

confidence: 99%

Energy Efficiency Improvement of Composite Energy Building Energy Supply System Based on Multiobjective Network Sensor Optimization

Huang

2022

Journal of Sensors

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In order to solve the problem of improving the energy efficiency of the energy supply system, the author proposes a method for improving the energy efficiency of the energy supply system of composite energy buildings based on multiobjective grid optimization, the method solves the energy efficiency improvement of the grid-optimized composite energy building energy supply system, with the increasing material needs of people, the traditional fossil energy consumption is increasing, and the environmental pollution problem is also becoming more and more serious, and people will face serious energy crisis. Due to the high proportion of coal in China’s energy, most thermal power plants use coal as fuel to generate electricity. In the process of coal combustion power generation, a large amount of air pollutants such as CO2, SO2, and Nox are produced, which destroys the ecological environment. In order to alleviate the energy crisis and reduce the emission of polluting gases, the development of renewable energy sources such as wind energy and solar energy is extremely important. Electricity supply and heat supply account for the main part of China’s energy consumption, 40% of China’s energy consumption is used for electricity supply, and 25% is used for heat supply. In terms of electricity supply, 12% of electricity is used for residential use, about 74% is used for industrial production, and 14% is used for commercial development.

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Section: Literature Reviewmentioning

confidence: 99%

Energy Efficiency Improvement of Composite Energy Building Energy Supply System Based on Multiobjective Network Sensor Optimization

Huang

2022

Journal of Sensors

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“…Based on the analysis of the construction of folk sports characteristic towns under the intelligent building technology of the Internet of Things, this paper elaborates on the relevant design concepts of folk towns. The town's material and cultural space are arranged, and in the subsequent tourism development and operation, the relevant information on the integration of folk customs and sports will be continuously disseminated to the outside world [ 14 – 17 ]. To make villagers in folk sports characteristic towns break away from traditional agricultural production-based lifestyles, carry out industrial upgrades, make them truly carriers of intangible cultural heritage, build the environment of folk sports characteristic towns, and protect and spread the wealth of folk culture.…”

Section: Introductionmentioning

confidence: 99%

The Construction of Folk Sports Featured Towns Based on Intelligent Building Technology Based on the Internet of Things

Li-yun

Cheng-ke²,

Qiang³

2022

Applied Bionics and Biomechanics

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With the emergence of the Internet of Things, technology and Internet thinking have entered traditional communities, and combined with traditional technologies, many new and better management methods and solutions have been born. Among them, the concept of intelligent buildings is also known to people. Based on big data technology, cloud computing technology, and Internet of Things technology, smart buildings provide smart and convenient devices and services for smart device users. The Internet of Things technology is entering our lives at an unimaginable speed. It has been applied in many fields. Smart home, smart transportation, smart medical, smart agriculture, and smart grid are widely used in the Internet of Things technology. The application of Internet of Things technology to the construction of folk sports characteristic towns is of great significance. The construction of folk sports characteristic towns and the protection of intangible cultural heritage have the same purpose and interoperability of elements as the development of traditional cities. From the perspective of protecting folk culture and intangible cultural heritage, it is effective to promote the development of small towns with folk custom characteristics. Based on the research on the construction of folk-custom sports towns, this paper proposes a series of data model analysis and analyzes the proportion of sports preferences in the survey of volunteers in the folk-custom sports towns. The final result of the research shows that the ball games sports personnel accounted for the largest proportion, with 156 people accounting for 48.15%. This shows that about half of the people like ball sports, which proves that ball sports should be the mainstay of folk sports towns, and other sports should be supplemented by other sports.

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“…A comparative method was then used in analyzing the case study, which compared the results of each scenario to get a power plant development plan with the most efficient use of renewable energy or the lowest cost. Expert judgment was then used in the validation process (Berawi et al, 2021). The presented values can determine whether the planning scenario for power plant development utilizing the suggested renewable energy is practical and can be realized.…”

Section: Figure 1 Balmoral Model Structurementioning

confidence: 99%

Optimizing the Development of Power Generation to Increase the Utilization of Renewable Energy Sources

Saroji¹,

Berawi²,

Sari³

et al. 2022

IJTech

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The electric power system is critical to supporting the economic growth of a country. On the other hand, the growing concern about the environment in recent years has pushed many countries to create strategies to minimize greenhouse gas emissions by increasing the proportion of new and renewable energy (NRE) sources. In Indonesia, the Java-Bali power grid is the most extensive electricity system, with a demand of 177,692.43 GWh with a peak load of 40,059.74 MW in 2019. However, the energy mix in Java-Bali is dominated by coal at 70%, followed by natural gas at 21.22%, renewable energy at 7.71%, and fuel at 0.14%. Therefore, there is an urgent need to increase the use of NRE sources in fulfilling the electrical energy demand, with the government setting a renewable energy utilization target of 23% in 2025 and 31% in 2050. This study aims to create a power-generating capacity development planning scenario with the best use of NRE sources at the lowest cost, to support the Indonesian policymakers in obtaining those targets. The Balmoral model with General Algebraic Modeling System (GAMS) programming was used to optimize the planning model for the power generating capacity. The results show that the development planning scenario with a total additional generating capacity of 15,035 MW is the scenario with the most optimal utilization of NRE sources and the lowest cost, with an estimated total investment cost of IDR 901 trillion. Furthermore, this scenario can increase the composition of renewable energy in the Java-Bali system to 16.95% in the next ten years.

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Designing a smart integrated workspace to improve building energy efficiency: an Indonesian case study

Cited by 23 publications

References 44 publications

Energy Efficiency Improvement of Composite Energy Building Energy Supply System Based on Multiobjective Network Sensor Optimization

Energy Efficiency Improvement of Composite Energy Building Energy Supply System Based on Multiobjective Network Sensor Optimization

The Construction of Folk Sports Featured Towns Based on Intelligent Building Technology Based on the Internet of Things

Optimizing the Development of Power Generation to Increase the Utilization of Renewable Energy Sources

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