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Delegates are invited to meet and discuss with the poster presenters during the poster presentation sessions between 10:30-11:30 and 16:00-17:00 on Thursday, 19 November 2015.

Lead Session Chair:
Stephan Barth, ForWind - Center for Wind Energy Research, Germany
Mar Rodriguez Kaleido Logistics, Spain
Co-authors:
Mar Rodriguez (1) F Nicolas Troncoso (1) Isabel Otero (1)
(1) Kaleido Logistics, , Spain

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Presenter's biography

Biographies are supplied directly by presenters at EWEA 2015 and are published here unedited

Mrs Rodriguez has been working in R&D activities for 12 years. She is currently R&D Commercial Manager in KALEIDO IDEAS&LOGISTICS, actively developing the business line related to sustainable solutions. She studied Mechanical Engineering at Bilbao Engineering School (University of the Basque Country). She worked for 10 years as calculation engineer in Technology Centre AIMEN, and she is now researcher in the R&D department within KALEIDO logistics group, focused in wind power and sustainable solutions development, within different projects: LEANWIND, “Logistic Efficiencies And Naval architecture for Wind Installations with Novel Developments”-FP7 EC funded, and SIGSOL "Smart and Green Solutions".


Poster

Poster Download poster (10.69 MB)

Abstract

Smart and Green Solutions: Integration of Wind Farm Supply Chain and Green Logistics

Introduction

SIGSOL Solution main objective is to integrate on the wind farm logistics planning both the Green Logistics concept and cost optimization algorithms, contributing to complete transformation of logistics strategies, structures and systems, creating logistics processes environmentally rational and with efficient use of resources.
SIGSOL project is supported by the Galician Innovation Agency (GAIN) and the European Regional Development Fund (ERDF).


Approach

SIGSOL solution is based on a definition of a Sustainability Logistics Quantitative Index (SLQI) that represents the logistics life cycle of wind farm components transportation to site, based in three variables representing: cost, environmental impact and energy production/consumption, and is accompanied by an emission compensation processes definition (active and passive). The modelling and optimization of this variables allows the minimization of environmental burden and a higher sustainability of the wind farm logistics activities.

Main body of abstract

For the development of the SIGSOL system, the quantification of three variable is needed:
- Carbon footprint of the logistics stages thought life cycle analysis.
- Energy Return on Investment (EROI) or cumulated energy demand (CED).
- Logistics services cost.
Although these concepts and life cycle analysis techniques are nowadays widely applied, the innovation consist on the development of a system and derived software suite that combines these three variables in a SLQI.
The solution has required the development of the modelling of the three flows: economic, environmental and energetic, and also the optimization algorithms that allow for the design of an efficient logistics supply chain.
The logistics activity optimization software allows the user, draw from one origin (windmill component manufacturing facility) and to one final destination (wind farm site), to determine the most efficient transportation routes for windmill components, analysing the impact of logistics activity from a cost, energy or environmental perspective. Also, depending on the feasible arches or options, the software provides various possible routes including the definition of the means on transportation.
Therefore, different means or transportation: road, rail or seaborne, can be selected and combined, and the software automatically calculates those options that are more environmentally sustainable, so matching with the scope of Green Logistics approach.
In addition to this, the user have the option to assign weights to any of the three variables, in order to change the optimization criteria to cost or energy focused.
Mathematical models:
Traditionally, the application of mathematical models for optimal planning of logistics operations and transportation routing has been focused in the minimization of cost of the operations of components transportation, but in recent years, the interest for these operations environmental impacts inclusion on the calculations has risen. This interest has been also found in recent references concerning Operation Research and applied mathematical modelling techniques.
The first approach to the mathematical optimization methods has been based in a minimum cost multi-commodity flow problem, as it suits the characteristics and modelization needs of the problem under consideration.


Conclusion

The definition of a Sustainability Logistics Quantitative Index (SLQI) has been completed, and the full software solution for the calculation of this index applied to wind farm logistics process planning has been developed.
This software constitutes a powerful solution for supporting a company providing logistics services or wind power companies logistics department, for incorporating Green Logistics Criteria to wind farm project supply chain management and can be used as a decision making tool from a cost, energy and environmental impact perspective.


Learning objectives
The learning objectives of the SIGSOL system and derived software suit are:
- Define Sustainability Logistics Quantitative Index (SLQI) and the methodology for its calculation.
- Calculate and determine the best logistics approach for a specific wind farm project, based on cost and environmental impact criteria.
- Develop a new concept of Green Logistics based on standardized and measurable parameters.
- Develop an emission compensation certified system.