Abstract
To understand energy modeling, we need to consider a system. This system could be a building, like a house or an office block. Of course, it is vitally important that this building is structurally sound. It is also important that this building is energy efficient and comfortable for those who will inhabit and use the building: it should not be too hot or too cold. In fact, it is expected that the temperature inside the building will be just right at all times. Until very recently, it was only after buildings were built that the task of ensuring the temperature was just right was undertaken. Calculating the optimal way to adjust the temperature by hand was a daunting and somewhat costly procedure.
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References
Cao J, Mun S Ho, Jorgenson DW (2008) Co-benefits of greenhouse gas mitigation policies in China, Environment for Development, Discussion Paper Series, EfD DP 08-10, China
Farzaneh H, Doll CNH, Puppim de Oliveira JA (2016) An integrated supply-demand model for the optimization of energy flow in the urban energy system. J Clean Prod 114:269–285
Goldberg DE (1989) Genetic algorithms in search, optimization, and machine learning., 978-0201157673. Addison-Wesley Professional, Boston, MA
Hall SG, Henry SGB (1988) Macroeconomic modelling (Contributions to economic analysis), 978-0444704290. Elsevier Science
Hassoun MH (2003) Fundamentals of artificial neural networks, 978-0262514675. MIT Press
Hourcade JC et al (1996) Estimating the cost of mitigating greenhouse gases. In: Bruce JP, Lee H, Haites EF (eds) Climate change 1995: economic and social dimensions of climate change. Contribution of working group III to the second assessment report of the IPCC. University Press, Cambridge, pp 263–296
Luenberger D, Yinyu Y (2008) Linear and nonlinear programming. 978-1-4419-4504-4, Springer US
Puterman ML (1978) Dynamic programming and its applications, 9781483258942. Academic Press
Renata M, WÅ‚odzimierz O, Speranza MG (2015) Linear and mixed integer programming for portfolio optimization. Springer International Publishing, Switzerland
Sinha SM (2006) Mathematical programming theory and methods., 9780080535937. Elsevier Science, New Delhi
Van Beeck N (1999) Classification of energy models. Tilburg University & Eindhoven University of Technology, Tilburg
Vepa R (2013) Dynamic modeling, simulation and control of energy generation., 978-1-4471-5399-3. Springer-Verlag, London
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Farzaneh, H. (2019). The Systems Approach and Energy Models. In: Energy Systems Modeling. Springer, Singapore. https://doi.org/10.1007/978-981-13-6221-7_1
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DOI: https://doi.org/10.1007/978-981-13-6221-7_1
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