Property:Related publications

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Showing 22 pages using this property.

B

Bidirectional massflow LTN (IDA ICE) +T.Schluck, P.Kräuchi, M.Sulzer (2015) Non-linear thermal networks - How can a meshed network improve energy efficiency? Paper presented at CISBAT, EPFL, 9-11 September.  +

C

Curve extraction and fitting of energy conversion systems +Optimal dispatch of large multi-carrier energy networks considering energy conversion functions M.Hohmann, R. Evins, J. Lygeros (submitted)  +

D

District heating network routing +B. Morvaj, R. Evins, J. Carmeliet:Optimising urban energy systems: simultaneous system sizing, operation and district heating network layout  +
Dynamic carbon factor tool +A. Chevrier (2016). Calculation of a dynamic carbon factor for the Swiss electricity grid. Semester project. ETH Zurich. (PDF below)  +

E

Effects of district size on optimal energy hub configuration considering demand variability +L.A. Bollinger and R. Evins (2015). HUES: A Holistic Urban Energy Simulation Platform for Effective Model Integration. CISBAT 2015, Lausanne, Switzerland.  +
Energy hub batch run with minute resolution +(1) Omu, A., Hsieh, S., and Orehounig, K. (2015) Energy hub modelling for the design of solar thermal district heating networks with short-term and seasonal storage. CISBAT 2015, Lausanne, Switzerland. (2) L.A. Bollinger and R. Evins (2015). HUES: A Holistic Urban Energy Simulation Platform for Effective Model Integration. CISBAT 2015, Lausanne, Switzerland.  +
Energy hub model for design, sizing and operation of an energy system of a building or an aggregation of buildings +Mavromatidis, G., Evins, R., Orehounig, K., Dorer, V., Carmeliet, J. (2014) Multi-objective optimization to simultaneously address energy hub layout, sizing and scheduling using a linear formulation. In: 4th International Conference on Engineering Optimization (ENGOPT), September 8-11, 2014, Lisbon, Portugal, 603-608, CRC Press.  +
EnergyPlus: Typical Residential Buildings in a Swiss Alpine Village +Wu, R. et al., Optimal Energy System Transformation of a Neighbourhood, in SBE16. 2016: Zurich, Switzerland.  +

F

Fast Fluid Dynamics Processing +Jos Stam (1999). Stable Fluids. IN: SIGGRAPH '99 Proceedings of the 26th annual conference on Computer graphics and interactive techniques, pp. 121-128. Waibel, C. (2012) Non-deterministic Shape Optimisation of Wind Cowls by applying Simulated Annealing and Fast Fluid Dynamics. In: Proceedings of 2nd Conference: People and Buildings. Network for Comfort and Energy Use in Buildings (NCEUB), London, UK, September 2012.  +

G

GUI-GIS +Documentation within the repository  +
Geo-dependent energy demand and supply Web-Service +1. Deliverable report D36: Structure, syntax and method of the database. Stefan Schneider (lead), Dan Assouline, Nahid Mohajeri, Jean-Louis Scartezzini 2. Assouline, D, Mohajeri, N, Scartezzini, J-L. 2015. A machine learning methodology for estimating rooftop PV solar energy potential in Switzerland. CISBAT 2015, Future Building and Districts Sustainability from Nano to Urban Scale. EPFL, Lausanne, 9-11 September. 3. Schneider, S, Khoury, J, Lachal, B, Hollmuller P. 2015. Geo-dependent heat demand model of the Swiss building stock. Conference paper submitted to the Sustainable Built Environment (SBE) regional conference 2016.  +
GrasshopperSolarPotentials +Forthcomming conference paper: Christoph Waibel, Ralph Evins, Jan Carmeliet (2016). Using Interpolation to Generate Hourly Annual Solar Potential Profiles for Complex Geometries. In: 3rd IBPSA England Conference, Newcastle, 12th-14th Sept.2016.  +

M

Mechanism design for the energy hub dispatch: case study +An incentive compatible receding horizon dispatch and pricing mechanism for multi-carrier energy systems (submitted)  +
Multi-agent reinforcement learning-based energy hub model +L.A. Bollinger and R. Evins. 2016. Multi-agent reinforcement learning for optimizing technology deployment in distributed multi-energy systems. EG-ICE Workshop. Krakow, Poland.  +

N

Nonlinear powerflow constraints +Morvaj, et al. 2015. Bi-level optimisation of distributed energy systems incorporating non-linear power flow constraints. CISBAT, Lausanne, Switzerland. URL: https://infoscience.epfl.ch/record/213433/files/9_MORVAJ.pdf  +

O

Occupancy profile generator +1. I. Richardson, M. Thomson, and D. Infield, A high-resolution domestic building occupancy model for energy demand simulations. Energy and Buildings, vol. 40, no. 8, pp. 1560-1566, 2008. URL: http://www.sciencedirect.com/science/article/pii/S0378778808000467 2. Evins, K. Orehounig and V. Dorer (2015). Variability between domestic buildings: the impact on energy use. Journal of Building Performance Simulation. DOI:10.1080/19401493.2015.1006526. URL: http://www.tandfonline.com/doi/full/10.1080/19401493.2015.1006526 R  +

R

Rheinfelden energy hub thermal storage +Omu, A., Hsieh, S., and Orehounig, K.: Energy hub modelling for the design of solar thermal district heating networks with short-term and seasonal storage. In CISBAT, Lausanne, Switzerland, 2015.  +

S

Sequential Optimisation +Waibel, C., Ramallo-González, A.P., Evins, R., Carmeliet, J. (2015) Reducing the Computing Time of Multi-Objective Building Optimisation using Self-Adaptive Sequential Model Assessment. In: 14th International Conference of the International Building Performance Simulation Association (IBPSA), BS 2015, Hyderabad, India, December 7th – 9th 2015.  +
Simple building energy model Rheinfelden +Weather data for the Rheinfelden municipality and some of the building constructions data for the IDF file have been derived from: Hsieh, S., Weber, R. Dorer, V., Orehounig, K. 2015. Integration of Thermal Energy Storage at Building and Neighbourhood Scale. International Building Performance Simulation Association Conference. Hyderabad, India.  +
Solar thermal system with storage in a neighbourhood (EnergyPlus) +Hsieh,S., Orehounig, K., Weber, R., Dorer, V. 2015. Integration of Thermal Energy Storage at Building and Neighbourhood Scale. IBPSA Building Simulation Conference 2015. Hyderabad, India. Submitted.  +
Swiss buildings GIS heat demand database +Schneider, S, Khoury, J, Lachal, B, Hollmuller P. 2016. Geo-dependent heat demand model of the Swiss building stock. Conference paper Sustainable Built Environment (SBE) regional conference 2016. http://archive-ouverte.unige.ch/unige:84240  +

U

Unidirectional massflow LTN (IDA ICE) +T.Schluck, M.Sulzer, P.Kräuchi (2015) Non-linear thermal networks - how can a meshed network improve energy efficiency? Paper presented at CISBAT conference, EPFL, Lausanne, 9-11 September.  +