Regional energy planning: Optimization model for electric power generation based on available energy sources and technologies
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Regional energiplanering : Optimeringsmodell för elkraftsproduktion baserad på tillgängliga energikällor och teknologier (Swedish)
Access to modern energy service is vital for social and economic development. Energy helps to meet basic human needs such as food and shelter and contribute to social development by improving public health and education. Access to electricity is particularly important since it is hard to replace it with other forms of energy. This energy demand has created crucial environmental problems. Fossil fuel combustion is the largest source of atmospheric pollution and the energy conversion technologies are heavily dependent on fossil fuel. The dependence on fossil fuel is not only an environmental problem it has also created many problems for non oil producing developing countries. The import of fuel is a heavy burden on the economy of these countries and in many cases this leads to a negative trade balance with debt problems as a result.
The structure of the energy system is complex, there are many aspects to take into consideration. There are three factors that are extra important to take into account: energy, economy and environment. These factors are often in conflict with each other; to satisfy one the others often have to stand aside.
In this report a mathematical model is developed and presented that aims to help decision makers to choose the best combination of electrical power generation units. The model obeys the following premises: always satisfy the demand and minimize the cost under certain imposed environmental conditions. The model is constructed in modules to facilitate the understanding of it and make it easy to changes and add new functions to it.
To evaluate the model it is implemented in GAMS (General Algebraic Modeling System), a high-level modeling software designed for mathematical programming and optimization. The evaluation is performed by changing the input parameters and comparing different scenarios. The model lives up to the expectation and behaves as intended; it satisfies the demand with minimized cost without exceeding the environmental restrictions. To keep the complexity level down the model just handles the electrical power demand and it only optimizes the cost considering data for one year. The future development should focus on expanding the model to incorporate the heating and cooling demands as well as increase the time horizon.
Place, publisher, year, edition, pages
2011. , 59 p.
Economy, Electrical power generation, Energy planning, Environment, Optimization
IdentifiersURN: urn:nbn:se:kth:diva-41769OAI: oai:DiVA.org:kth-41769DiVA: diva2:444924
Subject / course
Master of Science in Engineering - Design and Product Realisation
UppsokPhysics, Chemistry, Mathematics
Vigouroux, RolandoOcoña Guevara, Victor