臺灣能源期刊發行
- 創刊日期：
102年11月30日
- 發行所：
經濟部能源署
- 發行人：
游振偉
- 地址：
台北市復興北路2號13樓
- 電話：
02-2772-1370
- 執行單位：
財團法人工業技術研究院
- 地址：
新竹縣竹東鎮中興路四段195號26館
- 服務專線：
03-5916006
- 服務信箱：
- 總編輯：
王漢英胡均立
- 顧問：
王運銘童遷祥王人謙
- 執行主編：
劉子衙陳志臣
- 編輯委員：
方良吉王錫福朱家齊李堅明李叢禎林師模馬鴻文陳希立廖芳玲廖肇寧劉文獻蕭志同顧洋(依筆畫順序排列)
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臺灣能源期刊論文全文
臺灣能源期刊第5卷第1期內容
出刊日期：March, 2018
- 題目
- 物聯網對商用建築節能措施之影響分析
- Title
- Impact Analysis of Internet of Things on Energy Saving Measures of Commercial Buildings
- 作者
- 許志義、謝志豪、陳志綸
- Authors
- Jyh-Yih Hsu, hih-Hao Hsieh, yh-Lun Chen
- 摘要
- 在網際網路與各類資通訊技術不斷地進步之下，物聯網(Internet of Things, IoT)蓬勃發展，國外已有實際應用於節能領域之案例，除了預期能節省能源與費用外，更可進一步有效減少自然資源消耗與對環境之衝擊，例如Rahman et al. (2010)針對澳洲中央昆士蘭大學洛坎普頓校區資訊技術部大樓進行實驗，最高可得41.87%的節能效益。本研究聚焦於商用建築，設計出模擬情境為：導入物聯網智慧節能系統+分散式再生能源發電系統+儲能系統(電動車)，用以探討導入物聯網智慧節能系統的成本效益，是否具有足夠的誘因，吸引有意願者導入。本研究採用成本效益分析法中之參與者檢定(Participant Cost Test, PCT)，建立經濟分析模型，於「事前」評估成本效益。根據本研究實證結果顯示，前一代物聯網智慧節能系統之模擬情境皆無法通過檢定。然而科技日新月異，物聯網的應用更加友善，國內廠商推出了次世代物聯網智慧節能系統(如Raspberry Pi, 樹莓派、Long Rang, LoRa)，使得模擬情境之期初投入大幅降低。經過計算，使用次世代物聯網智慧節能系統能夠通過檢定，主要原因是此節能系統所產生之節電效益，再加上分散式再生能源發電系統所產電力回售台電，透過此兩大主要收益，足夠使其投入成本在有效使用年限中回收，對有意願投資者具有誘因。最後，透過敏感度分析，部分未通過檢定之模擬情境轉為通過。一旦假設改變或是另作設定而與原情境不同時，模擬情境之檢定結果會出現不同結論之可能。
- 關鍵字
- 物聯網，商用建築，節能減碳，成本效益分析
- Abatract
- Internet of Things (IoT) technology has been applied into the field of energy conservation in relation with the rapid development in internet and ICT technology. There are real cases abroad. The consumption of natural resources and the impact on the environment will be reduced effectively besides saving energy and expense. This study focuses on the commercial buildings and design simulation scenario: importing the IoT intelligent energy conservation system + distributed renewable energy generation system + energy storage systems (electric vehicle) to evaluate the cost and benefit of IoT intelligent energy conservation system that is set up in those buildings. We aim to understand if there is enough incentives to attract those who are willing to import that system or not. This study adopts the participant cost test to build econometric analysis model, and evaluates the cost and benefit in an Ex ante assumption. Our results revealed that simulation scenario with the previous generation of IoT intelligent energy conservation system can’t pass the evaluation. However, the disruptive innovation in IoT technique enables itself more adaptable in energy conservation scenarios. A local company has released a next generation of IoT intelligent energy conservation system (taking Raspberry Pi and LoRa for instance), which significantly reduce the initial investment for the corresponding simulated conditions. We find that, after calculation, the simulation scenarios with that system can pass the evaluation. It mainly results from the energy saving benefit by the system and revenue from distributed renewable energy generation system, which can effectively recover the investment during the effective duration. This results show great promise and sufficient incentives to attract those who are willing to import that system. Through the sensitivity analysis, it is shown that altering the scenario conditions can result in turning the fail outcome into passed one. If the hypothesis and conditions are changed or reset, the testing results of the three simulation scenarios will be different probably.
- Keywords
- Internet of Things, Commercial Building, Energy Conservation Carbon Reduction, Cost-Benefit Analysis