2009-11-012024-05-18https://scholars.lib.ntu.edu.tw/handle/123456789/703765摘要:隨著全球暖化的問題日&#64023;嚴重,二氧化碳的過&#64001;排放與能源使用的嚴重&#63786;費已成為 世界各國急欲解決的議題。目前在規劃減碳與節能科技發展時多以技術為主要考&#63870;,鮮 少運用以人為中心進而創造社會價值的思考方式進&#64008;。但能源問題的發生,多源自於人 &#63952;自工業革命後,能源被運用於維持社會活動與社會基礎結構之運轉,最終以滿足人&#63952; 生&#63972;與心&#63972;的需求為依歸。面對減碳與節能此一全球性重大議題,傳統的思維方式&#64038;是 從提高能源轉換效&#63841;、開發再生能源、發展碳捕捉與封存技術等供應面著手。本計畫則 從人&#63952;根本的需求面&#64000;入問題,嘗試運用認知與&#64008;為科學的知&#63996;,輔以創新科技的效 能,讓使用者在&#63847;&#64009;低心&#63972;滿足層次的情況下,自願&#64009;低能源使用&#63870;與碳排放&#63870;,進而 養成減碳與節能的好習慣。長遠&#63789;看,認知與&#64008;為的改變才是最&#63853;成本,而且最具社會 效&#64023;的方法。 本計畫將人在日常生活的&#64008;為區分為室內與室外活動,透過在室內進&#64008;誘導式減碳 與節能,將可改變個人的&#64008;為模式,養成居家生活與工作環境節能與減碳的好習慣。而 在室外誘導式減碳與節能,則可減少空氣污染對個人健康造成的傷害並提供&#63805;化策&#63862;, 減少整體二氧化碳排放。為逐步發展並完成以認知科學為基礎的室內外誘導式減碳與節 能之有效性實證,本計畫規劃四大分項,分別為(1)&#64008;為模式研究;(2)居家與工作環境之 誘導式減碳與節能;(3)減碳地圖;(4)感測器、無線感測網&#63799;、能&#63870;收集技術。藉此四個 分項的整合,我們將在三&#63886;後完成以認知科學為基礎之室內減碳節能平台、室外減碳地 圖平台與誘導式減碳節能社群網站,提供誘導式減碳與節能之有效性實證。 本研究預期可於三&#63886;內發表期刊&#63809;文共 16 篇,申請專&#63965;共8 件,並衍生產學合作 共3 件以上。此外,本計畫預期在社會與經濟面可提供之短期效&#64023;包括(1)藉由實證,瞭 解&#63847;同誘導策&#63862;在&#63847;同人、事、時、地、物對減碳與節能的有效性,提供政府單位訂定 減碳與能源政策之&#63851;考;(2)有效節&#63853;室內空間之使用者每人每&#63886;約1000 &#64001;電之消耗與 600 公斤二氧化碳的排放&#63870;,以目前所預計約200 位受測者之應用展示規模,將可展現 節&#63853;每&#63886;約20 萬&#64001;電與120 噸二氧化碳之效&#64023;;(3)減碳地圖可結合&#64008;政院環保署或地方 政府環保局的&#63805;化政策,以給予其有效之&#63805;化規劃建議。對中、長期而言,本計畫建置 於室內空間之平台因建構於基礎認知科學,應可重複實現於其他居家與工作場域,衍生 的效&#64023;將可隨導入的人&#63849;增加而呈線性增加。而室外的減碳地圖也能進一步協助政府於 大規模&#64038;市&#63805;化之規劃,以全面性提升整體空氣品質,&#64009;低二氧化碳所造成的全球暖化 效應。整體而言,清楚地瞭解何種減碳與節能誘導策&#63862;必須配合科技導入才能有效達 成,&#63745;將能深入發掘趨勢與需求,為未&#63789;產業提供重大商機。除此之外,建置在認知科 學與實證為基礎的成功誘導經驗將可轉換至其他&#63924;域,協助解決未&#63789;其他公共財與私有 財的相關議題。<br> Abstract: Global warming and energy depletion have become a pressing issue worldwide. Facing this, problem-solving strategies have often resorted to technology-oriented development, e.g., energy efficiency, renewal energy, and CO2 capture and storage. Few have been utilized a human-centric approach for resolution. Nevertheless, the origin of these energy-related problems comes from the industrial development dated in the eighteen century. Since then, energy resources have been used heavily to maintain and advance social infrastructure for human needs, or more precisely human psychological needs. We are motivated by the aforementioned rationale, and will tackle the CO2 reduction and energy consumption and conservation issues through the basis of technology-assisted cognition. Behavior studies, sensing and control technologies and platforms will be developed. The goal is to persuade users to voluntarily reduce CO2 emission and energy consumption without sacrificing their psychological needs. In a long run, this fundamental change of mind and behavior is expected to be the most cost-effective mean with a persistent impact. Human activities can be broadly divided into indoor and outdoor activities. In this study, four sub-studies will be conducted to support the development of persuasive technologies for CO2 reduction and energy conservation; these include: (1) human behavior studies, (2) persuasive technologies for home and working space, (3) CO2 reduction map and (4) wireless sensing network and energy harvesting technologies. By integrating these efforts and conducting evidence-based studies at the OpenLab in the NTU Insight Center, new Civil Engineering building at NTU and outdoor areas surrounding the NTU campus, fruitful outcomes and impacts are expected. The immediate technology outputs include 16 journal papers, 8 patents and 3 technology transfers. The short-term social and economical outcomes include: (1) strategy recommendation for policy making, (2) reduction of 1000 kWh electricity and 600 kg CO2 emission per capital, (3) greening and sustainable urban development through the CO2 reduction map. The long-term social and economical impacts include scalable electricity reduction and CO2 emission reduction and identification of killer applications for technology advances. Meanwhile, the developed persuasive technologies can be adopted by other disciplines to foster future cognition-based applications.減碳節能誘導&#64008為模式認知科學居家工作環境室外無線感測CO2 reductionenergy conservationhuman-centriccognitionbehaviorindoor,outdoorwireless sensing networkenergy harvesting誘導式減碳與節能(2/3)