Unsustainable and uncontrolled development of urbanization, as well as the expansion and increase of environmental challenges, has caused extensive activities in recent years to reduce environmental pollution and efficient use of energy resources, worldwide. One of the appropriate solutions to reduce carbon dioxide (CO₂) emission and the optimal use of energy sources is the construction of an industrial energy park (IEP). Given the pivotal role of energy parks in different energy networks, accurate techno-economic-environmental assessment of energy parks, along with the promoted energy conversion facilities and flexibility options has become a challenging task. To address this open issue, this paper focuses on the coordinated operation of IEPs with a variety of thermal, electrical, and cooling loads to satisfy economic and environmental benefits. The proposed combined cooling, heat, and power (CCHP)-based energy park is equipped with multiple energy conversion facilities, such as absorption and electric chiller, power-to-heat facility, multi-energy storage, as well as demand response (DR) program as the flexibility option to supply energy demands, while has energy exchanging (power and heat exchanged) with the corresponding markets. The main objectives of this paper are to minimize the total operation cost of the energy park and decrease CO₂ emission rates. The coordinated model is exposed to the fluctuation of wind power, electrical and heat loads, and power prices, so the hybrid stochastic/information gap decision theory (IGDT)-based robust approach is used to handle them. The technical implications of using the proposed strategy are: (1) Creating a robust platform for industrial park operators to actively participate in different energy markets and take advantage of existing economic opportunities to meet the required energy demands at the lowest cost; and (2) Encouraging industrial park operators to participate in DR programs to reduce operating costs, increase energy efficiency, and contribute to the development of energy network plans. The proposed stochastic-IGDT multi-objective model is examined on the sample park and numerical results are discussed for different cases. Results reveal that under the proposed coordinated approach, total operation cost and emission pollution are decreased up to 3.1%, and 2.2%, respectively.

近年来，城市化的不可持续和不受控制的发展，以及环境挑战的扩大和增加，已经在世界范围内引起了广泛的减少环境污染和有效利用能源资源的活动。减少二氧化碳 (CO ₂) 排放和能源的优化利用是工业能源园区 (IEP) 的建设。鉴于能源园区在不同能源网络中的关键作用，对能源园区进行准确的技术-经济-环境评估以及推广的能源转换设施和灵活性选项已成为一项具有挑战性的任务。为了解决这个悬而未决的问题，本文重点关注 IEP 与各种热、电和冷负载的协调运行，以满足经济和环境效益。拟建的冷热电联产（CCHP）能源园区配备多种能源转换设施，如吸收式和电制冷机、电热设施、多能源存储以及需求响应（DR ) 计划作为满足能源需求的灵活性选项，同时与相应的市场进行能量交换（电力和热交换）。本文的主要目标是最小化能源园区的总运营成本并减少 CO₂排放率。协调模型受到风电、电力和热负荷以及电价波动的影响，因此采用基于混合随机/信息差距决策理论 (IGDT) 的稳健方法来处理它们。使用拟议战略的技术含义是： (1) 为工业园区运营商创建一个强大的平台，以积极参与不同的能源市场并利用现有的经济机会以最低的成本满足所需的能源需求；(2) 鼓励工业园区运营商参与需求响应计划，以降低运营成本，提高能源效率，并为能源网络计划的发展做出贡献。在样本公园上检查了所提出的随机 IGDT 多目标模型，并讨论了不同情况下的数值结果。