Published October 2018 | Version v1
Journal article

Continuous adjoint formulation for wind farm layout optimization: A 2D implementation

  • 1. University of Toronto, Toronto (Canada)

Description

Highlights: • The developed adjoint method can effectively be used for WFLO gradient computations. • The adjoint method significantly reduces the cost for the gradient computation. • The AEP is improved on average by 15% with gradient-based layout optimization. Current methodologies to optimize wind farm layouts to maximize the farm energy production rely on simple analytical models for wake loss estimations. In this paper, we present an innovative continuous adjoint formulation for gradient calculations within the framework of a gradient-based wind farm layout optimization. The developed optimization methodology integrates high-fidelity CFD models and, thanks to the adjoint method, overcomes the computationally high costs of a CFD-based optimization. The proposed continuous adjoint formulation allows for a derivation of the general adjoint equations, before any discretization is being applied, and therefore allows for a more flexible implementation in CFD software packages. Adjoint formulations for different conditions in the flow equations, namely, laminar, frozen-turbulence and turbulent flows are presented. The proposed formulation was implemented in a 2D domain and verified by comparing the calculated gradients with finite-difference approximations. Gradient calculations using the developed adjoint method were implemented in a gradient-based optimization methodology with open source software libraries, and were used to solve a 2D wind farm layout optimization problem under a wide array of wind resource scenarios. Our results showed that the annual energy production (AEP) of a given wind farm layout can be effectively improved within 30–60 iterations, depending on the initial layout and wind resource distribution. Improvements in AEP were found to be in the range of 7–37%, with an average of 15%.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.apenergy.2018.07.076

Additional details

Identifiers

DOI
10.1016/j.apenergy.2018.07.076;
PII
S0306261918311073;

Publishing Information

Journal Title
Applied Energy
Journal Volume
228
Journal Page Range
p. 2333-2345
ISSN
0306-2619
CODEN
APENDX

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52114399
Subject category
S17: WIND ENERGY; S42: ENGINEERING;
Descriptors DEI
COMPUTER CODES; COMPUTERIZED SIMULATION; COST; FINITE DIFFERENCE METHOD; FLUID MECHANICS; LAMINAR FLOW; OPTIMIZATION; TURBULENT FLOW; WIND TURBINE ARRAYS
Descriptors DEC
CALCULATION METHODS; FLUID FLOW; ITERATIVE METHODS; MATHEMATICAL SOLUTIONS; MECHANICS; NUMERICAL SOLUTION; SIMULATION

Optional Information

Copyright
Copyright (c) 2018 Elsevier Ltd. All rights reserved.