GIS-based multi-criteria analysis for offshore wind turbine deployment in Hong Kong

Abstract

The search for suitable marine areas is a prerequisite at an early stage of any offshore renewable energy system project. This paper introduces a methodological framework for identifying the maritime areas the most appropriate to implement an offshore wind turbine farm in the Hong Kong bay. The framework is based on the combined use of Multi-Criteria Decision Analysis (MCDA) and Geographical Information Systems (GIS). At the first stage of the analysis, unsuitable areas for the deployment of an offshore wind turbine have been first identified. At the second stage of the analysis, eligible marine areas have been ranked using a MCDA and different scenarios. Finally, a cost analysis has been performed to refine the whole approach as well as a comparison to previous studies in the Hong Kong bay.

Systematic Review of Site-Selection Processes in Onshore and Offshore Wind Energy Research

“…Numerous studies on onshore [2][3][4][5][6][7][8][9] and offshore [10][11][12][13][14][15][16][17] WF siting aimed to solve this multidimensional siting problem by developing innovative site-selection methodologies [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]; applying numerous and various exclusion criteria (EC) and assessment criteria (AC) [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]; determining the relative importance of each AC [2][3]…”

A Multi-Criteria Approach to Evaluate Floating Offshore Wind Farms Siting in the Canary Islands (Spain)

“…In general, the Canary Islands region offers relatively suitable conditions for floating wind development. However, consistent with other regions worldwide [20,23,24], existing users and uses of the marine environment severely restrict potential sites where development can occur with minimal mediation between conflicting user groups.…”

“…Gavériaux et al [24] introduced a methodological framework based on the combined use of multi-criteria decision analysis (MCDA) and geographical information systems (GIS) for identifying the maritime areas the most appropriate to implement an offshore wind turbine farm in the Hong Kong bay.…”

Spatio-temporal assessment and economic analysis of a grid-connected island province toward a 35% or greater domestic renewable energy portfolio: a case in Bohol, Philippines

“…Reference [ 25 ] used a similar method while also simulating a 10 MW grid-connected solar PV in HOMER software. Reference [ 26 ] used the MCDA method to determine the most suitable area for offshore wind farm deployment in Hong Kong and calculated the installation cost of the three most suitable zones using three turbine models. Other GIS–MCDA studies have also estimated the technical potential using the technical parameters of technology considered [ 27 – 30 ].…”