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Climate Mitigation and Adaptation in China: Policy, Technology and Market

為了解決U.S. Energy stock的問題，作者 這樣論述：

FU Jun, Esq., is Professor of Political Economy at National School of Development, Peking University. He received his Master’s degree and Ph.D. from Harvard University and is the first Chinese to have been elected Foreign Academician of Bologna Academy of Sciences in its long history. He is the auth

or of Institutions and Investments (Studies in International Economics, the University of Michigan Press), and The Dao of the Wealth of Nations (Peking University Press). Previously he held faculty positions at School of Economics and Management, School of Public Policy and Management, Tsinghua Univ

ersity, and School of Government, Peking University. He has served, among others, as a Member of the Listing Committee of Shenzhen Stock Exchange, Vice Chair (with Nobel laureate Michael Spence as Chair) of World Economic Forum’s Global Agenda Council on New Growth Models, and Advisor to Chairman of

the Executive Council of UNESCO. Appointed by its Governing Board, he has served on the Visiting Committee for Area and International Programs at Harvard University. As a global thought leader, he was twice featured in the Davos flagship publication -- Outlook on the Global Agenda.ZHANG Dongxiao is

a Chair Professor at College of Engineering, Peking University. An internationally well-known expert in unconventional oil and gas production, groundwater hydrology, and geological carbon sequestration, he had held positions as Senior Scientist at Los Alamos National Laboratory, Miller Chair Profes

sor at the Department of Petroleum and Geological Engineering at the University of Oklahoma, Chair Professor at the University of Southern California, and Executive Dean of Graduate School and Dean of College of Engineering at Peking University. He has authored 2 books and published over 220 peer-re

viewed papers. He earned both his Master’s degree and Ph.D. in hydrology and water resources in 1992 and 1993, respectively, from the University of Arizona. He is a Member of the U.S. National Academy of Engineering, an Honorary Member of Society of Petroleum Engineers, and a Fellow of Geological So

ciety of America.LEI Ming is a Full Professor and Chair of Department of Management Science & Information Systems of the Guanghua School of Management, Peking University. He was an Associate Professor of Donated Chair by KENSAI Power of Japan, Graduate School of Energy Science, Kyoto University, Jap

an in 1998, and has held numerous honorary and academic positions, including President elect of Asia Pacific DSI, Senior Expert of Chinese National Green GDP Accounting Project, Fellow of International Sustainable Energy Association (ISEA), Fellow of Chinese Environmental Science Society, Fellow of

Chinese Operation Research Society, Fellow of Chinese Environmental and Culture Society, Fellow of Chinese National Accounting Society, Fellow of Chinese Energy Society, and Fellow of Chinese Regional Science Association. A Member of the Editorial Broad of Economic Science, he is Dean of the Institu

te on Poverty Research at Peking University and Honorary Professor of the University of Edinburgh.

Business Statistics of the United States 2020: Patterns of Economic Change

為了解決U.S. Energy stock的問題，作者 這樣論述：

Business Statistics of the United States is a comprehensive and practical collection of data from as early as 1913 that reflects the nation's economic performance. It provides several years of annual, quarterly, and monthly data in industrial and demographic detail including key indicators such as:

gross domestic product, personal income, spending, saving, employment, unemployment, the capital stock, and more. Business Statistics of the United States is the best place to find historical perspectives on the U.S. economy. Of equal importance to the data are the introductory highlights, extensive

notes, and figures for each chapter that help users to understand the data, use them appropriately, and, if desired, seek additional information from the source agencies. Business Statistics of the United States provides a rich and deep picture of the American economy and contains approximately 3,5

00 time series in all. The data are predominately from federal government sources including: -Board of Governors of the Federal Reserve System -Bureau of Economic Analysis -Bureau of Labor Statistics -Census Bureau -Employment and Training Administration -Energy Information Administration -Federal H

ousing Finance Agency -U.S. Department of the Treasury This book is edited by the editors at Bernan Press.

集合住宅能源計算基準與標示之研究

為了解決U.S. Energy stock的問題，作者陳旻婕 這樣論述：

近年來社會大眾對於減碳議題及綠建築相關內容有所關注。2020年經濟部能源局統計我國住宅部門電力消費佔18.5%僅次於工業部門55.6%，顯示住宅部門耗電及節能對於台灣的重要性。歐盟在2002年率先實施建築能效標示制度（EPBD），而我國也為了推動建築能源效率認證，於2020年發展出台灣建築能效評估系統TBERS(Taiwan Building Energy-Efficiency Rating System)，本研究在TBERS架構下之R-BERS系統(Building Energy-Efficiency Rating System for Residential Buildings)做為住宅

類建築評估使用，對新建住宅制訂建築能效認證制度，可達到有效管理建築節約能源，並與世界各國的發展趨勢接軌。本研究因集合住宅設計多樣化，且評估案件面積規模不同，因應不同集合住宅評估案，量身制定該評估案之R-BERS評分尺度基準，所以必須擬出R-BERS照明及空調耗電密度基準，供不同集合住宅，住宅專用分區評估案使用，運用建築動態耗能分析eQUEST軟體，進行集合住宅住戶專用分區之全年耗能模擬，共進行45種不同參數設定之研究，其模擬成果與近年住宅耗能統計資料接近，具有一定之信賴度，也發現其模擬不同格局一房到五房之EUI分布皆呈現右偏分佈。最終選擇集合住宅三房型的空調與照明EUI基準，作為台灣R-BER

S評估法中的「非透天集合住宅」住戶專用分區之評量尺標。本研究挑選14個近年拿到綠建築標章及候選綠建築之集合住宅或社會住宅案例進行R-BERS評估，在這14個案例中R-BERS評估等級皆可達4級以上，並探討其建築規模與碳排總量關係，也為了了解目前建商提供住戶以毛胚屋形式的照明EL空調EAC皆=0.9時，公共區域照明及空調進行評估，可拿到評估1級的方式，以Case8為例原設計評估等級2級，設定15種不同方案之住宅及公共分區固定式設備進行評估，方案6配合住戶烹飪習慣以瓦斯爐台進行設定，先暫且不考量高層建築消防廚房防火區劃的問題，加上一般普遍建商提供的公共區域固定式設備，以瓦斯爐台1級、瓦斯熱水器2級

、有保溫材之熱水管設定、地下室採用有標章風機及使用動力回生的永磁馬達電梯，此時評估等級可達1級。而假使要提升評估等級到1+級，以現有的住戶照明、空調採毛胚屋形式是無法達成的，必須在住戶內提供能效等級佳的空調設備，才有機會拿到評估1+級。以上15個方案設定，主要是為了提升建築節能及減碳的效果，可供未來新建社會住宅與集合住宅評估時，政府單位或建商挑選相關設備挑選時有所參考。