Improving the energy sustainability of a Swiss village through building renovation and renewable energy integration
暂无分享,去创建一个
Jean-Louis Scartezzini | Morgane Le Guen | Lucas Mosca | A.T.D. Perera | Silvia Coccolo | Nahid Mohajeri | Nahid Mohajeri | J. Scartezzini | A. Perera | Silvia Coccolo | L. Mosca | M. Guen
[1] Jan Carmeliet,et al. Towards an energy sustainable community: An energy system analysis for a village in Switzerland , 2014 .
[2] D. Assouline,et al. Effects of urban compactness on solar energy potential , 2016 .
[3] Jean-Louis Scartezzini,et al. Outdoor human comfort and climate change. A case study in the EPFL campus in Lausanne , 2015 .
[4] D. Assouline,et al. Quantifying rooftop photovoltaic solar energy potential: A machine learning approach , 2017 .
[5] Jérôme Henri Kämpf,et al. On the modelling and optimisation of urban energy fluxes , 2009 .
[6] Guoqiang Hu,et al. Optimal coordination of air conditioning system and personal fans for building energy efficiency improvement , 2017 .
[7] Himanshu Gupta,et al. Developing a roadmap to overcome barriers to energy efficiency in buildings using best worst method , 2017 .
[8] Kaamran Raahemifar,et al. Artificial neural network (ANN) based model predictive control (MPC) and optimization of HVAC systems: A state of the art review and case study of a residential HVAC system , 2017 .
[9] Darren Robinson,et al. Computer Modelling for Sustainable Urban Design: Physical Principles, Methods and Applications , 2011 .
[10] J. Kämpf,et al. Optimisation of buildings' solar irradiation availability , 2010 .
[11] Hamidreza Zareipour,et al. A Probabilistic Energy Management Scheme for Renewable-Based Residential Energy Hubs , 2017, IEEE Transactions on Smart Grid.
[12] Sergio Copiello. Building energy efficiency: A research branch made of paradoxes , 2017 .
[13] A. T. D. Perera,et al. A novel simulation based evolutionary algorithm to optimize building envelope for energy efficient buildings , 2014, 7th International Conference on Information and Automation for Sustainability.
[14] Sanyuan Niu,et al. A BIM-GIS Integrated Web-based Visualization System for Low Energy Building Design , 2015 .
[15] Ilaria Ballarini,et al. Energy refurbishment of the Italian residential building stock: energy and cost analysis through the application of the building typology , 2017 .
[16] Javier Tarrío-Saavedra,et al. Assessing thermal comfort and energy efficiency in buildings by statistical quality control for autocorrelated data , 2017 .
[17] Shady Attia,et al. Energy efficiency in the Romanian residential building stock: A literature review , 2017 .
[18] Qiusheng Li,et al. Performance assessment of tall building-integrated wind turbines for power generation , 2016 .
[19] François Maréchal,et al. Multi-objective, multi-period optimization of district energy systems: IV – A case study , 2015 .
[20] Rahula A. Attalage,et al. Converting existing Internal Combustion Generator (ICG) systems into HESs in standalone applications , 2013 .
[21] Rehan Sadiq,et al. Renewable energy integration into community energy systems: A case study of new urban residential development , 2018 .
[22] Jean-Louis Scartezzini,et al. Electrical hubs: An effective way to integrate non-dispatchable renewable energy sources with minimum impact to the grid , 2017 .
[23] V. P. C. Dassanayake,et al. Designing standalone hybrid energy systems minimizing initial investment, life cycle cost and pollutant emission , 2013 .
[24] Ralph Evins,et al. A review of computational optimisation methods applied to sustainable building design , 2013 .
[25] Silvia Coccolo,et al. Bioclimatic Design of Sustainable Campuses using Advanced Optimisation Methods , 2017 .
[26] T. McMahon,et al. Updated world map of the Köppen-Geiger climate classification , 2007 .
[27] Jean-Louis Scartezzini,et al. On the impact of local climatic conditions on urban energy use: A case study , 2016 .
[28] Sean B. Walker,et al. Modeling and optimization of a network of energy hubs to improve economic and emission considerations , 2015 .
[29] Jean-Louis Scartezzini,et al. Design In The Desert. A Bioclimatic Project With Urban Energy Modelling , 2013, Building Simulation Conference Proceedings.
[30] Jean-Louis Scartezzini,et al. An integrated approach to design site specific distributed electrical hubs combining optimization, multi-criterion assessment and decision making , 2017 .
[31] Anibal T. de Almeida,et al. Energy storage system for self-consumption of photovoltaic energy in residential zero energy buildings , 2017 .
[32] V. K. Sethi,et al. Critical analysis of methods for mathematical modelling of wind turbines , 2011 .
[33] Michael Stadler,et al. Improving energy efficiency via smart building energy management systems. A comparison with policy measures , 2015 .
[34] M. P. G. Sirimanna,et al. A techno-economic analysis for an integrated solar PV/T system with thermal and electrical storage — Case study , 2015, 2015 Moratuwa Engineering Research Conference (MERCon).
[35] J. Carmeliet,et al. Decarbonizing the electricity grid: The impact on urban energy systems, distribution grids and district heating potential , 2017 .
[36] Rahula A. Attalage,et al. Sensitivity of internal combustion generator capacity in standalone hybrid energy systems , 2012 .
[37] J. Carmeliet,et al. Evaluation of photovoltaic integration potential in a village , 2015 .
[38] Volker Coors,et al. The influence of data quality on urban heating demand modeling using 3D city models , 2017, Comput. Environ. Urban Syst..
[39] Ali Motamed,et al. Potential advantages of a multifunctional complex fenestration system with embedded micro-mirrors in daylighting , 2016 .
[40] Jérôme Henri Kämpf,et al. A verification of CitySim results using the BESTEST and monitored consumption values , 2015 .
[41] Diane Perez,et al. A framework to model and simulate the disaggregated energy flows supplying buildings in urban areas , 2014 .
[42] Jan Carmeliet,et al. Multiobjective optimisation of energy systems and building envelope retrofit in a residential community , 2017 .
[43] François Maréchal,et al. Multi-objectives, multi-period optimization of district energy systems: III. Distribution networks , 2014, Comput. Chem. Eng..