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Related publications

Here you can find publications from the jEPlus team and papers/reports/websites used or referenced the jEPlus software tools. You are much welcome to send us your publications if jEPlus is in any way referenced or acknowledged.


Our Publications

2016

2015

  • Melo, A. P., Lamberts, L., Versage, R. S., Zhang, Y. (2015) “Is Thermal Insulation Always Beneficial in Hot Climate?” in Proceedings of BS2015: 14th Conference of International Building Performance Simulation Association, Dec. 7-9, 2015, Hyderabad, India PDF
  • Naboni, E., Malcangia, A., Zhang, Y., Barzon, F. 2015. Defining The Energy Saving Potential of Architectural Design, in 7th International Conference on Sustainability in Energy and Buildings, 1-3 July 2015, Lisbon, Portugal.

2014

  • Basurra, S., Jankovic, L. and Zhang, Y. 2014. Development of an Expert System for Zero Carbon Design and Retrofit of Buildings. In Proceedings of the 1st International Conference on Zero Carbon Buildings Today and in the Future, Birmingham City University, 11-12 September 2014.
  • Ordoñez, A., Carreras, J., Korolija, I., Zhang, Y., Coronas, A. 2014. Impact Of Building Geometry On Its Energy Performance Depending On Climate Zones. In: BSO 14 - Building Simulation and Optimisation, the second IBPSA England conference, 23-24 June 2014, UCL, London pdf

2013

  • Calleja Rodríguez, G., Carrillo Andrés, A., Domínguez Muñoz, F., Cejudo López, J.M. and Zhang, Y. 2013. Uncertainties and sensitivity analysis in building energy simulation using macroparameters. Energy and Buildings 67(0), pp. 79–87. link
  • Korolija, I. and Zhang, Y. 2013. Impact of model simplification on energy and comfort analysis for dwellings. In: BS 2013 - 13th Int. IBPSA Conference. 25-28 August 2013, Chambery, France. pdf
  • Korolija, I., Marjanovic-Halburd, L., Zhang, Y. and Hanby, V.I. 2013. UK office buildings archetypal model as methodological approach in development of regression models for predicting building energy consumption from heating and cooling demands. Energy and Buildings 60, pp. 152–162. link
  • Korolija, I., Zhang, Y., Marjanovic-Halburd, L. and Hanby, V.I. 2013. Regression models for predicting UK office building energy consumption from heating and cooling demands. Energy and Buildings 59, pp. 214–227. link
  • Naboni, E., Maccarini, A., Korolija, I. and Zhang, Y. 2013. Comparison of conventional, parametric and evolutionary optimisation approaches for the architectural design of nearly zero energy buildings. In: BS 2013 - 13th Int. IBPSA Conference. 25-28 August 2013, Chambery, France. pdf
  • Naboni, E., Zhang, Y., Maccarini, A., Hirsch, E. and Lezzi, D. 2013. Extending the use of parametric simulation in practice through a cloud based online service. In: BSA2013 - Building Simulation Applications Conference. 30 January - 1 February 2013, Bozen-Bolzano, Italy. pdf
  • Wright, A.J., Korolija, I. and Zhang, Y. 2013. Optimization of dwelling design under current and future climates using evolutionary algorithms in EnergyPlus. In: CIBSE Technical Symposium 2013. 11-12 April 2013, Liverpool, UK. pdf
  • Zhang, Y., Tindale, A., Garcia, A.O., Korolija, I. and Tresidder, E. G. 2013. How to integrate optimization into building design practice: lessons learnt from a design optimization competition. In: BS2013 - 13th Int. IBPSA Conference. 25-28 August 2013, Chambery, France. pdf

2012

  • Zhang, Y. (2012) “Use jEPlus as an efficient building design optimisation tool”, CIBSE ASHRAE Technical Symposium, Imperial College, London UK – 18th and 19th April 2012 pdf
  • Stuart, G., Korolija, I. and Marjanovic-Halburd, L. 2012. Navigating multi-dimensional results from large parametric building simulation studies. In: CIBSE ASHRAE Technical Symposium 2012. 18-19 April 2012, London, UK. pdf
  • Tresidder, E., Zhang, Y. and Forrester, A.I.J. 2012. Acceleration of building design optimisation through the use of Kriging surrogate models. In: BSO12 - Building Simulation and Optimization Conference. 10-11 September 2012, Loughborough, UK. pdf

2011

  • Korolija, I. 2011. Heating, Ventilating and Air-conditioning System Energy Demand Coupling with Building Loads for Office Buildings. Ph.D. Thesis. De Montfort University, Leicester, UK. link
  • Tresidder, E., Zhang, Y. and Forrester, A.I.J. 2011. Optimisation of low-energy building design using surrogate models. In: BS 2011 - 12th Int. IBPSA Conference. 14-16 November 2011, Sidney, Australia. pdf

Earlier

  • Zhang, Y., Korolija, I. 2010. Performing complex parametric simulations with jEPlus, SET2010 - 9th International Conference on Sustainable Energy Technologies, 24-27 August 2010, Shanghai, China pdf (444.89 KiB, 4y ago, 35 downloads)
  • Zhang, Y. 2009. ‘Parallel’ EnergyPlus and the development of a parametric analysis tool, IBPSA BS2009, 27–30 July 2009, Glasgow, UK pdf

Where jEPlus is used or referenced

2016

  • Delgarm, N. et al., 2016. Multi-objective optimization of the building energy performance: A simulation-based approach by means of particle swarm optimization (PSO). Applied Energy, 170, pp.293–303.
  • Delgarm, N., Sajadi, B. & Delgarm, S., 2016. Multi-Objective Optimization of Building Energy Performance and Indoor Thermal Comfort: A New Method using Artificial Bee Colony (ABC). Energy and Buildings. * Naboni, E. et al., 2015. Defining The Energy Saving Potential of Architectural Design. Energy Procedia, 83, pp.140–146. Available at: http://www.sciencedirect.com/science/article/pii/S1876610215028696 [Accessed January 10, 2016].

2015

  • Naboni, E., Malcangia, A. 2015. Designing beyond BR10 and Passivhaus Standard prescriptions with the use of Genetic Energy Optimisation, in 7. Passivhus Norden - Sustainable Cities and Buildings, 20-21 August 2015, Copenhagen. pdf
  • Schwartz, Y., Raslan, R. & Mumovic, D., 2015. Multi-objective genetic algorithms for the minimisation of the life cycle carbon footprint and life cycle cost of the refurbishment of a residential complex’s envelope: a case study. In SimAUD ’15 Proceedings of the Symposium on Simulation for Architecture & Urban Design. San Diego, CA, USA: Society for Computer Simulation International, pp. 189–196. Available at: http://dl.acm.org/citation.cfm?id=2873021.2873047 [Accessed June 2, 2016].
  • Witt, H. et al., 2015. Simulation of energy use in UK supermarkets using EnergyPlus. In Proceedings of the 14th International Conference of the International Building Performance Simulation Association (BS2015). Hyderabad, India: © International Building Performance Simulation Association (IBPSA), pp. 1095–1102. Available at: https://dspace.lboro.ac.uk/dspace-jspui/handle/2134/21174 [Accessed June 2, 2016].
  • Lee, S.H., Hong, T., Sawaya, G., et al., 2015. DEEP: A Database of Energy Efficiency Performance to Accelerate Energy Retrofitting of Commercial Buildings. In ASHRAE Winter Conference 2015.

2014

  • Huws, H. & Jankovic, L., A METHOD FOR ZERO CARBON DESIGN USING MULTI-OBJECTIVE OPTIMISATION.
  • Lavigne, K. et al., 2014. Demand Response Strategies in a Small All-Electric Commercial Building in Quebec. In eSim 2014.
  • Bánóczy, E., Szemes, P.T. & Korondi, P., 2014. SIMULATION OF BUILDING RENOVATION�S RETURN IN ENERGY PLUS. Environmental Engineering and Management Journal, 13(11), pp.2743–2748.
  • Carlucci, S., Pagliano, L. & Sangalli, A., 2014. Statistical analysis of the ranking capability of long-term thermal discomfort indices and their adoption in optimization processes to support building design. Building and Environment, 75, pp.114–131. Available at: http://www.sciencedirect.com/science/article/pii/S0360132313003739 [Accessed March 18, 2015].
  • Cortés, A. et al., 2014. Big Data Technology to Exploit Climate Information/Consumption Models and to Predict Future Behaviours. In I. González Alonso, ed. International Technology Robotics Applications SE - 3. Intelligent Systems, Control and Automation: Science and Engineering. Springer International Publishing, pp. 25–36. Available at: http://dx.doi.org/10.1007/978-3-319-02332-8_3.
  • He, M. et al., 2014. Dynamic modelling of a large scale retrofit programme for the housing stock in the North East of England. In Urban Sustainability and Resilience (USAR) Conference Series. London, UK: Urban Sustainability and Resilience (USAR) Conference Series. Available at: https://dspace.lboro.ac.uk/dspace-jspui/handle/2134/16519 [Accessed September 18, 2015].
  • Manandhar et al., A Study on Passive Cooling Strategies for Buildings in Hot Humid Region of Nepal. 한국생태환경건축학회 논문집, 15(1), pp.53–60. Available at: http://www.dbpia.co.kr/Article/NODE06204454 [Accessed September 18, 2015].
  • Martinez, N.A., 2014. Solving the Black Box : Inverse Approach for Ideal Building Dynamic Behaviour Using Multi-Objective Optimization with Energyplus. In Proceedings of 8th Windsor Conference: Counting the Cost of Comfort in a changing World, Cumberland Lodge, Windsor, UK. pp. 10–13.
  • Mccartan, S. & Kvilums, C., 2014. THE UTILIZATION OF PASSIVE DESIGN STRATEGIES WITHIN THE DESIGN PROCESS OF PASSENGER VESSELS OPERATING WITHIN THE MEDITERRANEAN TO SUPPORT EEDI COMPLIANCE.
  • Rawlings, J. et al., 2014. A CLUSTERING APPROACH TO SUPPORT SME CARBON REDUCTION Technologies for Sustainable Built Environments Centre , University of Reading . UK School of Construction Management and Engineering , University of Reading , Reading . UK Henley Business School , Uni. In BSO 2014.
  • Sterling, R. et al., 2014. Improving whole building energy simulation with artificial neural networks and real performance data. In Building Simulation and Optimisation Conference.
  • Lo Verso, V.R.M., Pellegrino, A. & Pellerey, F., 2014. A multivariate non-linear regression model to predict the energy demand for lighting in rooms with different architectural features and lighting control systems. Energy and Buildings, 76, pp.151–163. Available at: http://www.sciencedirect.com/science/article/pii/S0378778814001996 [Accessed May 22, 2015].
  • 이정훈 & 송두삼, 오피스 건물의 내부발열 및 외피성능이 냉난방에너지 소비량에 미치는 영향. 대한설비공학회 학술발표대회논문집, pp.160–163. Available at: http://www.dbpia.co.kr/Article/NODE06066962 [Accessed September 18, 2015].
  • 임헌정 et al., 에어컨 운영 데이터를 이용한 빌딩 에너지 모델 보정 시스템 설계. 한국통신학회 학술대회논문집, pp.113–114. Available at: http://www.dbpia.co.kr/Article/NODE06091291 [Accessed September 18, 2015].

2013

  • Attia, S., Herde, A., Gratia, E. and Hensen, J.L.M. 2013. Achieving informed decision-making for net zero energy buildings design using building performance simulation tools. Building Simulation 6(1), pp. 3–21. link
  • Belleri, A., Dutton, S., Oberegger, U.F. and Lollini, R. 2013. A Sensitivity Analysis of Natural Ventilation Design Parameters for Non Residential Buildings. In: BS 2013 - 13th Int. IBPSA Conference. 25-28 August 2013, Chambery, France. pdf
  • Bull, J., Kimpian, J. and Mumovic, D. 2013. Parametric models for predicting life cycle energy, cost, and carbon implications of refurbishment in schools and offices. In: CIBSE Technical Symposium 2013. 11-12 April 2013, Liverpool, UK. pdf
  • DeLarm-Neri, R. 2013. Energy Modeling of Low-Cost Houses in Colder Climates of South Africa. M.Sc Thesis. Appalachian State University, Boone, US-NC. link
  • Hendricken, L., Taylor, R. and Casey, P. 2013. Pareto efficient retrofit package selection for multi-family buildings in the Philadelphia Metropolitan Region. In: Future Build 2013 4-6 September 2013, Bath, UK. pdf
  • Lee, P., Lam, P.T.I., Yik, F.W.H. and Chan, E.H.W. 2013. Probabilistic risk assessment of the energy saving shortfall in energy performance contracting projects–A case study. Energy and Buildings 66(0), pp. 353–363. link
  • Malkawi, A. and Waegel, A. 2013. Rapid Modeling of Buildings with Calibrated Normative Models. In: BS 2013 - 13th Int. IBPSA Conference. 25-28 August 2013, Chambery, France. pdf
  • Moret, S., Noro, M. and Papamichael, K. 2013. Daylight harvesting: A multivariate regression linear model for predicting the impact on lighting, cooling, and heating. In: BSA2013 - Building Simulation Applications Conference. 30 January - 1 February 2013, Bozen-Bolzano, Italy. pdf
  • Naboni, E., Nielsen, J. and Maccarini, A. 2013. AUTARKI: Coupling a 1:1 cross laminated timber building prototype with parametric energy simulation to investigate scenarios for energy self-sufficiency. In: Prototyping Architecture. 21 - 23 February 2013, London, UK, pp. 245–261. pdf

2012

  • Attia, S., Gratia, E., De Herde, A. and Hensen, J.L.M. 2012. Simulation-based decision support tool for early stages of zero-energy building design. Energy and Buildings 49(0), pp. 2–15. link
  • Belleri, A. and Lollini, R. 2012. Uncertainties in airflow network modelling to support natural ventilation early stage design. In: 33rd AIVC - 2nd Tightvent conference: Optimising Ventilative Cooling and Airtightness for [Nearly] Zero-Energy Buildings, IAQ and Comfort. 10-11 October 2012, Copenhagen, Denmark.
  • Burton, C. and Shaxted, M. 2012. Development and Implementation of a Parametric Energy Tool for Building Owners. In: eSim 2012: The Canadian Conference on Building Simulation. 1-4 May 2012, Halifax, Canada. pdf
  • Coakley, D., Raftery, P. and Molloy, P. 2012. Calibration of whole building energy simulation models: Detailed case study of a naturally ventilated building using hourly measured data. In: BSO12 - Building Simulation and Optimization Conference. 10-11 September 2012, Loughborough, UK. pdf
  • Dingwall, A. 2012. Testing the impact of using cumulative data with genetic algorithms for the analysis of building energy performance and material cost. M.Sc Thesis. Georgia Institute of Technology, Atlanta, US-GA. link
  • Eisenhower, B., O’Neill, Z., Fonoberov, V.A. and Mezic, I. 2012. Uncertainty and sensitivity decomposition of building energy models. Journal of Building Performance Simulation 5(3), pp. 171–184. link
  • Lutzenhiser, L., Hu, H., Moezzi, M., Levenda, A. and Woods, J. 2012. Lifestyles, Buildings and Technologies: What Matters Most? In: ACEEE Summer Study on Energy Efficiency in Buildings. 12-17 August 2012, Pacific Grove, US-CA. pdf
  • Moret, S. 2012. Energy efficiency in lighting: daylight harvesting optimization and wireless sensor networks. M.Sc Thesis. University of Padova, Padova, IT. link
  • Porritt, S.M., Cropper, P., Shao, L. and Goodier, C.I. 2012. Ranking of interventions to reduce dwelling overheating during heat waves. Energy and Buildings 55(0), pp. 16–27. link

2011

  • Porritt, S.M., Shao, L., Cropper, P.C. and Goodier, C.I. 2011. Assessment of interventions to reduce dwelling overheating during heat waves considering annual energy use and cost. In: CIBSE Technical Symposium 2011. 6-7 September 2011, Leicester, UK. pdf

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