This study examines the effect of novel photovoltaic (PV) panels called bi-facial PV on the energy planning and management of the proposed interconnected grid. Dual buildings are assumed to be different applications interacting with each other and the upstream network. Various renewable and non-renewable energy resources are considered, including CHP, boiler, wind turbine (WT), and electrical and thermal energy storage. The goal is to minimize multi-objective functions of total cost and contamination simultaneously. Bi-facial PV panels can also receive reflected light from the environment (depending on various albedo), resulting in an additional 20 % growth in produced power. The problem is formulated as the mixed integer linear programming (MILP) and solved in GAMS software by CPLEX solver. The optimization problem is solved by using epsilon constraints method and fuzzy satisfying approach. In order to reach accurate results, the diverse demands of the proposed buildings and renewable-based units’ obtainable power are calculated using Energy Plus and Design Builder software. The study represents two scenarios in which mono-facial and bi-facial planning are exerted. The final results show that a 20 % increase in produced power significantly impacts the exchangeable power between buildings and the upstream network, leading to a noticeable cost reduction. Furthermore, it depicts a slight change in overall pollution.

中文翻译：

---

双面光伏板作为互联电网能源管理和调度的新选择的影响：综合展望


本研究探讨了称为双面光伏的新型光伏（PV）面板对拟议互连电网的能源规划和管理的影响。假设双建筑物是彼此交互以及与上游网络交互的不同应用程序。考虑了各种可再生和不可再生能源，包括热电联产、锅炉、风力涡轮机 (WT) 以及电能和热能存储。目标是同时最小化总成本和污染的多目标函数。双面光伏板还可以接收来自环境的反射光（取决于各种反照率），从而使发电量额外增长 20%。该问题被表述为混合整数线性规划 (MILP)，并通过 CPLEX 求解器在 GAMS 软件中求解。采用epsilon约束法和模糊满足法求解优化问题。为了获得准确的结果，使用 Energy Plus 和 Design Builder 软件计算拟建建筑物的不同需求和可再生能源单元的可用电力。该研究代表了单面和双面规划的两种场景。最终结果表明，发电量增加 20% 会显着影响建筑物和上游网络之间的可交换电力，从而显着降低成本。此外，它还描绘了总体污染的轻微变化。