全球暖化引起強烈公民意識的浪潮，減少溫室氣體排放成為重中之重。實現此目標的所有可行方法中，使用再生能源替代化石燃料和電動汽車（EV）替代傳統內燃機汽車無疑是當務之急。但現在缺乏實際方法測量再生能源與電動汽車供電於大型公路網中的合適組合，同時考慮再生能源的季節性供應及可能需要在某些位置通過電網規模安裝的電池調節再生能源的產出和消耗陣列。根據如此迫切的需求，本文提出使用混合整數規劃（MIP）模型。此外，關於台灣國道綜合案例涵蓋的有用資訊，如準備關鍵數據的過程，尤其是當地太陽能、風能和高速公路交通，對模型解決方案進行深入分析，提供整個地區再生能源的總體可用性公路網，並仔細評估投資所需。這些發現支持國家高速公路上使用再生能源為電動汽車供電，並展現當地企業參與的重要性。但相對較小的國家（如台灣）於再生能源供應方面仍會顯示出很大的差異。在電力使用獨立設置中，這些變化將導致大量再生能源在某些季節不被公路旅行使用。這些細節證明本研究所提出模型在實際情況下的適用性和價值。;Global warming has triggered waves of public awareness to surface very strongly all over the world, urging to eliminate all greenhouse gas emissions in a timely fashion. Among all feasible approaches to achieving this goal, the use of renewables to replace fos-sil fuels and electric vehicles (EVs) to replace conventional internal combustion engine ve-hicles is arguably a top-priority task. However, there is a severe lack of practical ap-proaches to measuring a proper renewable mix for powering EVs in a large highway net-work, while also considering renewables’ seasonal availability and the possible need to regulate the production and consumption of renewable energy with grid-scale battery ar-rays installed at certain locations. This urgent need motivates the development of the mixed-integer programming model as presented in this paper. Furthermore, a comprehen-sive case study on Taiwan’s national highways covers such useful knowledge as the pro-cess to prepare key numeric data, especially, local solar and wind energy and highway traf-fic, in-depth analysis on model solutions to reveal the overall availability of renewable en-ergy across the highway network, and close measurements on the required investments. These findings support the use of renewable energy to power EVs on a national highway and reveal the importance of local business involvements. However, a relatively small country such as Taiwan can still display significant variations in renewable power availabil-ity. In a standalone setting for power usage, these variations would result in massive volumes of renewable energy not used by highway travel in some seasons. These details demonstrate the applicability and values of the proposed model in a real situation.
