**54. Where can we get biomass?** 文章第四段提到“Biomass is energy that we get from plants around us. For example, deadwood or grass is burned in power stations.”,说明生物质能来自我们周围的植物,例如枯木或草。 **55. How many kinds of green energy are mentioned in the passage?** 文章中提到...
(E)What are the main sources(来源)of green energy?(B)1. Water power uses moving water in rivers and dams(堤坝).Moving water has energy. Water power makes 16.6% of the elec-tricity we use.( D )2. Is wind power new? No, it isn't. People used wind pow er many years ago. Wi...
main source of energy because of modern way of living. Fossil fuels are coal, crude oil, natural gases, etc are the mostly used sources of energy in our country. Mainly our lifestyle is destorying huge amount of energy everyday which will bring shortage of these resources in...
<___>他来的时候 ,我们都在那里。 < >里妥当的词汇是一下哪个? 只有 “正当”?? 正巧,正好,刚刚, 刚巧, 恰巧, 正当 what is the right answer? could you also explain why 我们家住在法国四个月___ 。 1. 了 2. 过
Energy intensity, LMDI, Intra-industry, Influencing factors 1. Introduction What are the main factors that affect a country’s energy efficiency? On the one hand, a country’s energy efficiency depends on its industrial structure, that is, the proportion of energy-intensive industries; on the ot...
What are the main sources of renewable energy in the country? A. Coal, oil, and gas B. Nuclear power C. Solar power, wind power, and hydro power D. Geothermal E. nergy 相关知识点: 试题来源: 解析 C。解析:文章明确提到这个国家的可再生能源发展战略主要包括太阳能、风能和水能。
What are some advantages of using renewable energy sources?(10分)答案略 相关知识点: 试题来源: 解析 1. 减少温室气体排放,缓解气候变化2. 资源可再生,永不枯竭3. 降低对化石燃料的依赖,提高能源安全4. 创造绿色就业机会,促进经济发展5. 长期运行成本更低廉6. 减少空气污染,改善公共健康7. 支持分散式能源...
What Energy Sources Power The World?
LAKHMIR SINGH & MANJIT KAUR-SOURCES OF ENERGY -NCERT What is a source of energy ? What are the two main categories of the s... 01:03 What is a good fuel ? 04:04 If you could use any source of energy for heating your food, which one... 03:36 What are the disadvantages of fos...
Machine learning is a form of artificial intelligence that can adapt to a wide range of inputs, including large sets of historical data, synthesized data, or human inputs. (Some machine learning algorithms are specialized in training themselves to detect patterns;this is called deep learning. See...