Financing the Renovation of the Cypriot Building Stock: An Assessment of the Energy Saving Potential of Different Policy Scenarios Based on the Invert/EE-Lab Model
暂无分享,去创建一个
Lukas Kranzl | Paolo Zangheri | Andreas Müller | Marina Economidou | L. Kranzl | A. Müller | P. Zangheri | Economidou Marina
[1] Juha Jokisalo,et al. Calculation method and tool for assessing energy consumption in the building stock , 2014 .
[2] Filip Johnsson,et al. The effect of improved efficiency on energy savings in EU-27 buildings , 2013 .
[3] Klaas Bauermann,et al. German Energiewende and the Heating Market - Impact and Limits of Policy , 2016 .
[4] Filip Johnsson,et al. A modelling strategy for energy, carbon, and cost assessments of building stocks , 2013 .
[5] Daniel E. Fisher,et al. EnergyPlus: creating a new-generation building energy simulation program , 2001 .
[6] Lukas Kranzl,et al. Renewable heating: Perspectives and the impact of policy instruments , 2013 .
[7] Michael Kost,et al. Langfristige Energieverbrauchs- und CO2-Reduktionspotenziale im Wohngebäudesektor der Schweiz , 2006 .
[8] Ari Nissinen,et al. Modeling and visualization of residential sector energy consumption and greenhouse gas emissions , 2014 .
[9] Niko Heeren,et al. A component based bottom-up building stock model for comprehensive environmental impact assessment and target control , 2013 .
[10] Lorenzo Pagliano,et al. Heating and cooling energy demand and loads for building types in different countries of the EU , 2014 .
[11] Johannes Henkel,et al. Modelling the Diffusion of Innovative Heating Systems in Germany - Decision Criteria, Influence of Policy Instruments and Vintage Path Dependencies , 2012 .
[12] Jürgen P. Kropp,et al. Heating and cooling energy demand and related emissions of the German residential building stock under climate change , 2011 .
[13] Frank Schultmann,et al. From the Building Level Energy Performance Assessment to the National Level: How are Uncertainties Handled in Building Stock Models , 2017 .
[14] Wolf Fichtner,et al. Energy efficiency in the German residential sector: A bottom-up building-stock-model-based analysis in the context of energy-political targets , 2013 .
[15] Constantinos A. Balaras,et al. Modeling energy refurbishment scenarios for the Hellenic residential building stock towards the 2020 & 2030 targets , 2016 .
[16] John P. Weyant,et al. End use technology choice in the National Energy Modeling System (NEMS): An analysis of the residential and commercial building sectors , 2013 .
[17] Anne Grete Hestnes,et al. Energy demand in the Norwegian building stock: Scenarios on potential reduction , 2009 .
[18] H. Williams. On the Formation of Travel Demand Models and Economic Evaluation Measures of User Benefit , 1977 .
[19] D. K. Serghides,et al. Analysis of structural elements and energy consumption of school building stock in Cyprus: Energy simulations and upgrade scenarios of a typical school , 2014 .
[20] Neil Strachan,et al. Modelling energy transitions for climate targets under landscape and actor inertia , 2017 .
[21] Mark Jaccard,et al. Towards General Equilibrium in a Technology-Rich Model with Empirically Estimated Behavioral Parameters , 2006 .
[22] D. K. Serghides,et al. Energy Efficient Refurbishment towards Nearly Zero Energy Houses, for the Mediterranean Region , 2015 .
[23] I. Sartori,et al. Using a segmented dynamic dwelling stock model for scenario analysis of future energy demand: The dwelling stock of Norway 2016–2050 , 2017 .
[24] Mantzos Leonidas,et al. JRC-IDEES: Integrated Database of the European Energy Sector: Methodological note , 2017 .
[25] Georgios A. Florides,et al. The characteristics and the energy behaviour of the residential building stock of Cyprus in view of Directive 2002/91/EC , 2010 .