<b>A raster-based multi-objective spatial optimization framework for offshore wind farm site-prospecting</b>

Planning an offshore wind project is considered a highly complex and multivariable task since it involves controversial objectives and constraints to be considered.<b> </b>Hence, compactness and contiguity are indispensable properties<b> </b>in spatial modelling for Renewable Energy Sources (RES) planning processes.<b> </b>The proposed methodology demonstrates the development of a raster-based spatial optimization model for future Offshore Wind Farm (OWF) site-prospecting multi-objective optimization in terms of the simulated Annual Energy Production (AEP), Wind Power Variability (WPV) and the Depth Profile (DP), towards an integer mathematical programming approach.

海上风电项目（Offshore Wind Project）的规划被视为一项高度复杂的多变量任务，因其涉及诸多需纳入考量的相互冲突的目标与约束条件。因此，紧凑性与连通性是可再生能源（Renewable Energy Sources, RES）规划流程中空间建模不可或缺的核心属性。本研究提出的方法开发了一款基于栅格的空间优化模型，用于未来海上风电场（Offshore Wind Farm, OWF）场址勘察的多目标优化，该模型以模拟年发电量（Annual Energy Production, AEP）、风电出力波动性（Wind Power Variability, WPV）与水深剖面（Depth Profile, DP）为优化维度，并采用整数数学规划方法作为实现路径。

搜集汇总

背景与挑战

背景概述

该数据集提供了一个用于海上风电场选址的栅格化多目标空间优化框架，旨在解决海上风电项目规划中的复杂性和多变量问题。它通过模拟年发电量、风电变异性和深度剖面等关键指标，采用整数数学规划方法进行优化，以支持可再生能源规划过程的空间建模需求。