Methodology for the development of hydroelectric power plants

Hydropower has sufficient resources available and is actively promoted by Governments as part of their energy matrix, but its development is constrained by the difficulty of addressing location particularities, including technical features such as geology or hydrology, and institutional features such as social acceptance, environmental constraints and the regulatory framework. Project results emerge from the interactions of these Inherent Features and the Project Architecture and do not always meet stakeholders' expectations, leading to deficient project results and lost value. This thesis proposes a methodology for prototyping projects to reflect these particularities and inform project shaping and decision-making early in the process. The proposed methodology was built on three systems engineering and project complexity frameworks, and lessons learned from four case studies. Its contribution to hydropower development is related to (i) the incorporation of systems evolution over time on the development process, (ii) the identification and management of relationships among the various decomposed elements of the development, (iii) the identification of emergent properties from the interactions among all features, (iv) a prototype for developers to optimize or search for project architectures that meet stakeholders objectives while complying with restrictions, (v) the delivery of unbiased information for decision-makers, (vi) the opportunity of stakeholders to participate in the project shaping in a continuous fashion, and (vii) the delivery of a tool for the implementation team to evaluate and challenge changes to the project during construction. The usage of this methodology does not guarantee the avoidance of errors or unforeseen project outcomes, but it does reduce the chance for unknown risks emerging from the interactions of the evaluated features.

Department dc:contributor.department

Massachusetts Institute of Technology. Engineering and Management Program

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2016

Author dc:creator

• Cornejo Gómez, César Alberto

Advisor dc:contributor.advisor

• Donald Lessard.

• Engineering and Management Program.
• System Design and Management Program.
• Engineering Systems Division.

Statement dc:rights

• MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/107592

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/107592