近年來，由於嚴重的氣候變遷和環境污染，如何有效得利用能源成 為熱門的研究議題。單一工廠中包含製程、熱交換器網路與公用流體工 廠，為有效利用能源，我們發展一包含所有潛在可能設計之單廠能源整 合超結構，利用逐步方式依序求解數學規劃模型，來設計出單廠能源系 統之最適化結構。此外，透過混合整數非線性規劃模型(MINLP)的建立， 決定單廠能源整合最適化結構及操作條件，以期提升能源使用效率。
由於現實中工業園區有多個工廠並存，多廠能源整合亦為一重要議 題。透過發展多廠能源整合之模型，將考慮潛在所有能源交換之可能性， 其中包括電力、蒸汽及冷卻水，透過上述能源的整合與共享，除了有效 提升能源利用外，亦可降低多廠之總年度成本。
此外，多廠能源整合之目標函數為最小化總年度成本，若是成本節 省額未能合理分配予參與者，會使得合作聯盟破局。因此，我們透過合 作賽局理論中核(core)與夏普利值(Shapley value)，制訂合理的利益分配 方案。最後，經由案例驗證上述所提方法之可行性。

A step-by-step method has been first developed in this work to sequentially design the optimal structure of any single-plant energy system. Since there may be multiple plants coexisting in an industrial park, total-site energy integration (TSEI) becomes an important research issue in recent years. By developing a generalized mathematical programming model for the TSEI projects, all potential energy exchange possibilities, including interplant transfers of electricity, steam and cooling water, can be considered. As a result, the total annual cost (TAC) of a TSEI scheme can be made significantly lower than that of the standalone counterpart.
As mentioned above, the objective function used in a TSEI model is to minimize TAC. However, if the total cost saving is not properly divided and allocated to the TSEI participating members, the cooperative alliance cannot be maintained even for a short period of time. Therefore, a reasonable benefit allocation plan is stipulated according to the core and Shapley value of the cooperative game theory. Finally, the proposed methodology is illustrated in detail with two case studies.

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