Below is a directory/list of NGOs, charities and non-profits working on protecting environment. They run awareness campaigns for climate change and pressurize governments to adopt policies for reducing carbon emissions. Many are also focused on adopting renewable energy solutions. in Alofi. Total Re Contact online >>
Below is a directory/list of NGOs, charities and non-profits working on protecting environment. They run awareness campaigns for climate change and pressurize governments to adopt policies for reducing carbon emissions. Many are also focused on adopting renewable energy solutions. in Alofi. Total Results = 2
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Meanwhile, the global urban population has experienced rapid growth since 1950. In 2018, ~55% of the world''s population lived in urban areas. This number is expected to increase to 68% by 2050, according to a United Nations prediction5. Due to this rapid urbanization, there will be considerable new construction. The world''s building stock is expected to double by 2060, which is equivalent to building an entire New York City every month for the next 40 years6.
According to the US Energy Information Administration (EIA), the building sector accounted for 39% of primary energy consumption in the United States in 20117. Therefore, to support energy efficiency and carbon reduction targets, it is crucial to study buildings.
With the rapid development of computer technology, artificial intelligence (AI) is becoming increasingly accessible for different domains and applications. It "solves complex cognitive problems commonly associated with human intelligence, such as learning, problem-solving, and pattern recognition"8. As of February 2020, 50 countries had announced national AI strategies9.
AI has been widely adopted in different application domains, such as computer vision, robotics, natural language processing, and machinery. Recently, it has also been used to improve energy efficiency and reduce carbon emissions in the building10,11,12 transportation13,14,15, and industry sectors16,17,18. Some popular research directions include smart control, system diagnostics, occupancy behavior, load prediction, and demand response.
However, the energy-saving potential of AI in buildings has not been thoroughly understood. Existing literature primarily focuses on specific aspects of building performance such as building design19,20, construction21,22,23,24, operation and control25,26,27,28; the research indicates a diverse range of potential savings, spanning from 2 to 60%. Moreover, a systematic and standard method for AI savings quantification is still lacking. The mechanism of how AI could best be used to reduce energy consumption and carbon emissions in buildings is also not clear.
To understand the areas in which AI can contribute to reducing energy consumption, it is first necessary to understand the average building energy efficiency level and the current best practices.
We break down the building energy saving into four key categories: (1) equipment, (2) occupancy influence, (3) control and operation, and (4) design and construction.
Four representative cities were simulated in detail, to consider building energy consumption in different climate zones. Table 1 shows the baseline medium office energy consumption of each selected city. The electricity use breakdown can be found in Fig. 1. It was assumed that natural gas is used to provide hot water and heating.
The four selected cities represent four typical climate zones in the United States. Sources: authors'' calculation based on annual building electricity consumptions of the baseline EnergyPlus model described in Supplementary Table 1.
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By interacting with our online customer service, you'll gain a deep understanding of the various Alofi energy conservation featured in our extensive catalog, such as high-efficiency storage batteries and intelligent energy management systems, and how they work together to provide a stable and reliable power supply for your PV projects.