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None (69) · doi.org/10.1080/21563306.2011.10412189 (1) · doi.org/10.1108/17506220810892946 (1) · doi:10.1016/j.apenergy.2008.09.006 (1) · doi:10.1016/j.apenergy.2009.09.023 (1) · doi:10.1016/j.apenergy.2010.06.013 (1) · doi:10.1016/j.apenergy.2012.09.019 (1) · doi:10.1016/j.apenergy.2014.02.062 (1) · doi:10.1016/j.applthermaleng.2012.01.067 (1) · doi:10.1016/j.applthermaleng.2014.02.051 (1) · doi:10.1016/j.ejor.2011.07.033 (1) · doi:10.1016/j.enbuild.2011.08.010 (1) · doi:10.1016/j.enbuild.2014.06.030 (1) · doi:10.1016/j.enbuild.2014.12.039 (1) · doi:10.1016/j.enconman.2015.02.015 (1) · doi:10.1016/j.energy.2006.10.023 (1) · doi:10.1016/j.energy.2008.10.019 (1) · doi:10.1016/j.energy.2010.11.014 (1) · doi:10.1016/j.energy.2011.10.008 (1) · doi:10.1016/j.energy.2012.12.003 (1) · doi:10.1016/j.energy.2013.04.004 (1) · doi:10.1016/j.energy.2013.06.053 (1) · doi:10.1016/j.energy.2013.10.039 (1) · doi:10.1016/j.energy.2014.02.042 (1) · doi:10.1016/j.energy.2014.04.023 (1) · doi:10.1016/j.energy.2014.04.097 (1) · doi:10.1016/j.energy.2014.06.007 (1) · doi:10.1016/j.enpol.2013.05.009 (1) · doi:10.1016/j.epsr.2015.02.007 (1) · doi:10.1016/j.renene.2013.06.013 (1) · doi:10.1016/j.renene.2014.12.044 (1) · http://ac.els-cdn.com/S0098135413003384/1-s2.0-S0098135413003384-main.pdf? tid=4baba58a-70cc-11e5-a432-00000aacb35f&acdnat=1444646025 615cd50b15f6e3bf1bfe5cf7c07299fb (1) · http://ac.els-cdn.com/S0098135414000507/1-s2.0-S0098135414000507-main.pdf? tid=9dbc54d4-70cf-11e5-bd2c-00000aab0f6c&acdnat=1444647451 5af26e7762ff14cbe701b014f42010a5 (1) · http://ac.els-cdn.com/S0360544212001600/1-s2.0-S0360544212001600-main.pdf? tid=c7ed457c-70c7-11e5-b522-00000aab0f27&acdnat=1444644086 2904f4a447bd8e1167eed6bd85858104 (1) · http://ac.els-cdn.com/S0360544215002856/1-s2.0-S0360544215002856-main.pdf? tid=6e4b7cb4-70d6-11e5-ba1d-00000aab0f26&acdnat=1444650378 66159084c7bfc453625b2ffc69cd4d7c (1) · http://ac.els-cdn.com/S1359431111006636/1-s2.0-S1359431111006636-main.pdf? tid=11ea1456-6e71-11e5-b520-00000aab0f27&acdnat=1444386941 a6d0aab92dbef6b8c216c3db7a49ded3 (1) · http://dx.doi.org/10.1002/etep.418 (1) · http://dx.doi.org/10.1016/j.biombioe.2012.01.022 (1) · http://dx.doi.org/10.1016/j.ijepes.2014.03.038 (1)
Literature source Stated Novelty:
None (80) · A comprehensive and novel design framework that covers the complete building system, including the most relevant boundary conditions, and provides a simultaneous optimal system design and control system. (1) · A data-driven MILP model for optimising the short-term operation of a CCHP system in order to minimise operation cost, while employing piecewise linear approximations of technology performance curves. (1) · Analysis of the impact of renewable energy policies on technology selection and performance (1) · Battery storage, multi-microgrid, new approach for dealing with variability in renewable resources (1) · Bi-level MILP (1) · comparison integer cut constraints VS evolutionary algorithms (1) · Decomposition approach. Battery model (1) · Development of a MILP model to find an optimal energy system by minimizing the total energy cost while guaranteeing reliable system operation. (1) · How does the choice of optimisation formulation (LP, MILP, NLP) influence the model results. (1) · Improved thermal storage model (1) · Inclusion of energy demand modelling and use of rolling horizon (1) · Influence of the amortization period on the ptimisation of a distributed urban district heating and cooling trigeneration system (1) · Introduces an optimisation model for the simultaneous integration of heat and power for residential systems while accounting for economic an environmental objectives (1) · More accurate modeling of cogeneration unit and storage characteristics (1) · Multi-objective optimisation (1) · MUlti-objective optimisation of renewable electricity system that considers cost, embodied emissions, and uncertainty in renewable electricity generation. (1) · Multi-objective, multi-period optimization of district energy systems: a case study (1) · New hybrid MILP formulation (1) · Rolling unit commitment model incorporating MPC algorithm optimizing the microgrid operation on a daily basis considering the uncertainties inherent to the RES production and demand forecasting (1) · sizing and operation optimization of district heating systems with heat storage tanks (1) · Storage and network modelling (1) · The design and the extension of distribution networks and transportation of resources, based on the geographical information system (GIS) (1) · The development of a generic optimisation model for the design of a distributed energy system. (1) · The development of an optimised design tool that determines the optimal size of a cogeneration plant to be employed in a commercial microgram. (1) · The integration of biomass resources, a simultaneous multi-objective and multi-period optimization (1) · two alternative stepwise methods to approximate two-dimensional non-linear DER efficiency curves (1) · Use of MILP to determine the optimal sizing and operation, both daily and seasonally. (1)
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