4.7 Article

Integration of energy systems for buildings and light industrial plants

期刊

ENERGY
卷 233, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2021.121120

关键词

GHG emissions reduction; Distributed energy network; Energy integration of residential buildings and light industry

资金

  1. NSERC CRD
  2. McMaster Advanced Control Consortium
  3. Ontario Research Fund

向作者/读者索取更多资源

This paper optimizes the design and operation of integrated distributed energy systems in large buildings and light industrial plants to reduce greenhouse gas emissions and decrease costs. The study found a sharp optimum point near the size of the confectionary plant that maximizes GHG reductions and minimizes costs.
This paper optimizes the design and operation of integrated distributed energy systems of large buildings and light industrial plants. The integration reduces greenhouse gas (GHG) emissions and the annual total cost (ATC) beyond the best possible from individual energy systems and there is a sharp optimum with respect to the size of the confectionary plant, which maximizes the reduction of GHG emissions and minimizes ATC. In contrast to previous studies, the design accounts for plant heating demands at different temperature levels and sets plant production volumes as decision variables. Optimal design, operation, and production schedule have been determined via a mixed-integer nonlinear programming model. Integrated energy systems of two entities (confectionary plant and residential building) have been compared to the non-integrated entities equipped with combined cooling, heating, and power systems. The lowest ATC (-8%) of the integrated system and the maximum GHG reductions (-8.3%) occur at slightly different sizes of the plant. Such reductions require simultaneous optimization of integrated design and operation of energy systems and relative sizes of the confectionary plant and the residential building. (c) 2021 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据